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Article

Kv10.1 Regulates Microtubule Dynamics during Mitosis

Oncophysiology Group, Max-Planck-Institute for Experimental Medicine, 37075 Göttingen, Germany
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(9), 2409; https://doi.org/10.3390/cancers12092409
Submission received: 20 July 2020 / Revised: 13 August 2020 / Accepted: 18 August 2020 / Published: 25 August 2020
(This article belongs to the Section Molecular Cancer Biology)

Abstract

:
Kv10.1 (potassium voltage-gated channel subfamily H member 1, known as EAG1 or Ether-à-go-go 1), is a voltage-gated potassium channel, prevailingly expressed in the central nervous system. The aberrant expression of Kv10.1 is detected in over 70% of all human tumor tissues and correlates with poorer prognosis. In peripheral tissues, Kv10.1 is expressed almost exclusively during the G2/M phase of the cell cycle and regulates its progression—downregulation of Kv10.1 extends the duration of the G2/M phase both in cancer and healthy cells. Here, using biochemical and imaging techniques, such as live-cell measurements of microtubule growth and of cytosolic calcium, we elucidate the mechanisms of Kv10.1-mediated regulation at the G2/M phase. We show that Kv10.1 has a dual effect on mitotic microtubule dynamics. Through the functional interaction with ORAI1 (calcium release-activated calcium channel protein 1), it modulates cytosolic calcium oscillations, thereby changing microtubule behavior. The inhibition of either Kv10.1 or ORAI1 stabilizes the microtubules. In contrast, the knockdown of Kv10.1 increases the dynamicity of mitotic microtubules, resulting in a stronger spindle assembly checkpoint, greater mitotic spindle angle, and a decrease in lagging chromosomes. Understanding of Kv10.1-mediated modulation of the microtubule architecture will help to comprehend how cancer tissue benefits from the presence of Kv10.1, and thereby increase the efficacy and safety of Kv10.1-directed therapeutic strategies.

1. Introduction

Kv10.1 (potassium voltage-gated channel subfamily H member 1, also known as Ether-à-go-go 1, EAG1; encoded by the KCNH1 gene) is a voltage-gated potassium channel [1] almost exclusively expressed in the mammalian central nervous system [2], where it regulates neuronal excitability at high stimulus frequencies [3]. However, the functional conservation from cnidarians to humans [4] suggests that Kv10.1 may also serve other functions. Kv10.1 was among the early examples of potassium channels implicated in tumor progression. It increases the growth and aggressiveness of implanted tumors in mice [5]. Over 70% of solid human tumors are Kv10.1-positive, which correlates with an unfavorable prognosis [5,6,7,8,9,10,11,12,13,14]. In contrast, inhibition of the channel reduces tumor cell proliferation both in vitro and in vivo, making Kv10.1 a promising target for cancer therapy [15,16,17,18,19,20]. Nevertheless, the molecular mechanisms by which Kv10.1 favors cell proliferation and enhances tumor progression are poorly understood.
We have previously shown that, in non-neural cells, Kv10.1 localizes to the centrosomes and primary cilia [21], and that its expression occurs only during the G2/M phase of the cell cycle [22]. Downregulation of Kv10.1 induces accumulation of cells in the G2/M phase, suggesting that cells depleted of Kv10.1 require a longer time to complete G2/M, which implies the participation of the channel in the regulation of this phase of the cell cycle [22].
The successful completion of each step of the cell cycle is monitored by checkpoints, which block progression to the next stage until the quality criteria of the preceding one are met [23]. Two checkpoints function in G2 and M phases—DNA damage-induced checkpoint and spindle assembly checkpoint (SAC), respectively [23]. The DNA damage-induced checkpoint utilizes the ATM (ataxia telangiectasia mutated kinase)/ATR (ATM and Rad3 related kinase)—CHK2 (checkpoint kinase 2)/CHK1 (checkpoint kinase 1)—CDC25 (cell division cycle protein 25) axis, which configures the DNA damage response (DDR) machinery [24]. This checkpoint inhibits the complex cyclin B/CDK1 (cyclin-dependent kinase 1), precluding the initiation of mitosis and providing sufficient time for DNA repair [23].
SAC delays the onset of anaphase until all chromosomes are attached to the mitotic spindle in a bipolar fashion [25]. The biorientation of chromosomes occurs in a stochastic process—constant removal of incorrect kinetochore-microtubule connections and stabilization of those producing the required tension is the basis for achieving biorientation [25,26]. Hence, the process depends on the regulation of microtubule (MT) growth and shrinkage. The central effector of SAC is the mitotic checkpoint complex (MCC), which consists of MAD2 (mitotic arrest deficient 2), BUB3 (budding uninhibited by benzimidazoles 3 homolog), and BUBR1 (BUB1-related protein 1) [25]. MCC is recruited by kinetochores not attached to MTs and sequesters CDC20 (cell division cycle protein 20), hindering the activation of the anaphase-promoting complex/cyclosome (APC/C) [25]. Completion of the biorientation of chromosomes results in the inactivation of SAC, granting APC/C to initiate the anaphase.
The activation of kinases and phosphatases is not the only regulatory mechanism for progression through the cell cycle; changes in cytosolic ion composition are also essential for the process [27,28]. Transient changes in cytosolic [Ca2+] accompany the progression through different phases of the cell cycle [29,30,31], for example, during the metaphase-to-anaphase transition [32,33,34,35,36]. Moreover, Ca2+ ions can modulate the MT dynamics either directly or indirectly through changes in the protein make-up of MT-tips [37,38,39,40]. Therefore, the oscillations in cytosolic [Ca2+] during G2/M will induce changes in MT dynamics.
We designed this study to explore the status of the checkpoints regulating the G2 and M-phases in the absence of Kv10.1. Since it was recently proposed that Kv10.1 and the Ca2+ channel ORAI1 (calcium release-activated calcium channel protein 1) cooperate functionally to control Ca2+ influx [41], we studied whether Kv10.1 plays a role in providing the appropriate [Ca2+] for MT growth during spindle formation. We show that Kv10.1 downregulation leads to activation of SAC, preventing the formation of lagging chromosomes, commonly observed in cancer cells. The phenotype which we describe here partially depends on the functional interaction with ORAI1. Together with ORAI1, Kv10.1 changes the cytosolic Ca2+ behavior and, consequently, MT dynamics during mitosis. Besides, Kv10.1 influences the MT dynamics independently and opposite to its conducting properties, suggesting a dual effect of the channel on MT behavior.

2. Results

2.1. Downregulation of Kv10.1 Partially Activates the DNA Damage-Induced Checkpoint in the Absence of DNA Damage

Since Kv10.1 downregulation leads to a delay in the progression of cells through the G2/M phase [22], we investigated the status of DNA damage-induced checkpoint by assessing the abundance of DDR proteins.
HeLa cells were transfected with either control (scrambled, Scr-) or KCNH1-siRNA, synchronized at the G1/S border using a double thymidine block, and then allowed to proceed through the cell cycle. The cells were collected throughout the entire duration of the cycle and used to determine the abundance of DDR proteins by immunoblotting (Figure 1A–C). Analysis of the images revealed an increase in some of the DDR components in Kv10.1-deficient (KD) HeLa cells. The active phosphorylated forms of ATR (Ser42) [42,43] and CHK1 (Ser345, a phosphorylation site for ATR [44,45]) were more abundant in Kv10.1 KD cells (Figure 1A,B). The total level of phosphorylated (p-) ATR normalized for actin was doubled in KD cells (0.41 ± 0.03 a.u. vs. 0.20 ± 0.01 a.u. in control; Figure 1A). p-CHK1 was increased by 60% upon Kv10.1 knockdown (0.14 ± 0.03 a.u. vs. 0.09 ± 0.02 a.u. in control; Figure 1B). The total level of CHK2 was increased by approximately 70% in Kv10.1-deficient HeLa cells (0.24 ± 0.01 a.u. in the KD vs. 0.14 ± 0.01 a.u. in controls; Figure 1C). However, we observed no significant differences in the expression of phosphorylated BRCA1 (Ser1524—A phosphorylation site for ATR [46]), total CHK1, p21, and p-histone H2A.X (Ser139; Figure S1).
To elucidate whether the activation of components of the checkpoint actually responded to increased DNA damage, we studied the presence and extent of DNA lesions using single-cell gel electrophoresis, also known as the comet assay [47]. The analysis of DNA comets in asynchronously growing HeLa and hTERT RPE1 cells did not reveal any significant changes in the magnitude of DNA damage between the control and the Kv10.1 knockdown group (Figure 1D–H). The observed differences in the DNA damage-induced checkpoint components upon Kv10.1 depletion are hence independent of DNA damage.

2.2. Kv10.1 Downregulation Leads to Activation of Spindle Assembly Checkpoint and Decreased Occurrence of Lagging Chromosomes in HeLa Cells

Although the initiation of DDR occurs in the nucleus, some of the DNA damage-induced checkpoint proteins are also localized at centrosomes and are linked to SAC during mitosis, independently of DNA damage [48,49,50,51,52,53,54,55,56,57,58,59]. We, therefore, set out experiments to investigate a possible activation of SAC upon Kv10.1 knockdown. HeLa cells were transfected with Scr- or KCNH1-siRNA and synchronized at the G1/S border using a double thymidine block. Samples of synchronized cells were collected at the indicated time-points and analyzed by immunoblotting (Figure 2A–G). Densitometry analysis of the immunoblots showed a 20% increase in CDC20 in Kv10.1 KD cells (0.28 ± 0.05 a.u.) compared to the control group (0.23 ± 0.04 a.u.; Figure 2A). Similarly, MAD2 was 27% higher in Kv10.1 deficient HeLa cells (0.26 ± 0.02 a.u.) compared to the control cells (0.19 ± 0.02 a.u.; Figure 2B).
We also tested the status of the APC/C complex, a direct target of the MCC. The APC/C protein CDC27 (cell division cycle protein 27) was downregulated by 20% in Kv10.1 KD (0.24 ± 0.02 a.u.) with respect to the control cells (0.30 ± 0.03 a.u.; Figure 2C). Notably, the most significant difference between the groups occurred six hours after the release (a 60% decrease: 0.45 ± 0.09 a.u. in controls vs. 0.28 ± 0.05 a.u. in KD cells; Figure 2C).
The APC/C activity requires CDC27 [60], and the absence of CDC27 would originate a compensatory upregulation of other factors. The kinase WEE1 is a plausible candidate for such an upregulation. WEE1 inactivates the cyclin B1/CDK1 complex both at the entry into mitosis [61] and at the metaphase-to-anaphase transition [62]. WEE1 expression was increased by 30% in Kv10.1-deficient cells (0.16 ± 0.01 a.u.) compared to the control group (0.12 ± 0.01 a.u.; Figure 2D). Previously, we have shown that Kv10.1 downregulation in HeLa delays the degradation of cyclin A2 during G2/M phase [22]. Interestingly, cyclin A2 degradation has been suggested as a reporter for SAC activity—the higher the rate of MCC formation, the later cyclin A2 is degraded [63,64]. Additionally, in line with our previous observations [22], slightly broader peaks of CDC20 and WEE1 at the G2/M phase hint to extended and stronger SAC activity and the prevention of premature activation of APC/C in the absence of Kv10.1.
Besides MCC, other factors can reinforce the SAC signal. For instance, pVHL (von Hippel-Lindau protein) enhances SAC response by increasing MAD2 levels, which in turn reduces chromosome instability [64,65]. Immunoblot analysis showed a moderate increase in the total levels of pVHL in Kv10.1 KD cells (0.34 ± 0.03 a.u. vs. 0.27 ± 0.02 a.u. in control; Figure 2E). While MCC detects unattached kinetochores [25], the accuracy of already-formed kinetochore-MT attachments is modulated by the AURKB (Aurora kinase B)—PLK1 (Polo-like kinase 1)—MCAK (mitotic centromere-associated kinesin) axis [66]. We assessed the involvement of this pathway by monitoring changes in its expression during the cell cycle in synchronized HeLa cells transiently transfected with either Scr- or KCNH1-siRNA (Figure 2F,G). Interestingly, the total amount of AURKB was downregulated by 35% in Kv10.1-deficient HeLa cells (0.29 ± 0.03 a.u.) compared to control cells (0.40 ± 0.06 a.u.; Figure 2F). The localization of AURKB at the kinetochores is a crucial step in recruiting the SAC components [67] led by MAD2 [68]. Moreover, CHK1 and CHK2 help to correctly localize and activate AURKB, BUBR1, MAD1 at kinetochores [69,70,71,72]. Hence, although we observe a decrease in total AURKB in Kv10.1-deficient cells (Figure 2F), we can speculate that the amount of “effective” AURKB at the kinetochores may increase due to upregulation of both phosphorylated CHK1 (Figure 1B) and MAD2 (Figure 2B). Even a marginal loss of PLK1 activity impairs chromosome congression [66,73]. Like AURKB, PLK1 was 30% lower in Kv10.1 KD cells (0.11 ± 0.01 a.u. vs. 0.16 ± 0.02 a.u. in control cells; Figure 2G). However, the decreased total amount of PLK1 did not correlate with the enzymatic activity measured during the G2/M phase. A moderately higher PLK1 activity was detected both in Kv10.1-deficient HeLa (Figure 2H, left grey panel) and hTERT RPE1 cells (Figure 2H, right blue panel). As expected, cells synchronized at G1/S showed low overall PLK1 activity (Figure 2I). Thus, increased PLK1 enzymatic activity upon Kv10.1 loss in mitotic cells (Figure 2H) can contribute to the strength of SAC by modulating the kinetochore-MT attachments and facilitating the recruitment of MCC to kinetochores.
The upregulation of major components of SAC in synchronized HeLa cells depleted of Kv10.1 (summarized in Table 1) raises two questions. (i) Are SAC components upregulated due to chromosome misalignment during metaphase? And (ii) Does the more robust and prolonged SAC in Kv10.1 KD cells decrease the occurrence of lagging chromosomes? We approached these questions using HeLa cells transfected with either Scr- or KCNH1-siRNA again, and synchronized at the metaphase, to study chromosome alignment, and at anaphase—for the occurrence of lagging chromosomes. Bipolar mitotic spindle, kinetochores, and DNA were visualized in fixed synchronized cells using a confocal fluorescence microscope (Figure 2J,L). Kv10.1 knockdown had almost no effect on the number of defective metaphases, which are characterized by the presence of misaligned chromosomes or damaged DNA (Figure 2J,K). In contrast, KCNH1-siRNA-treated HeLa cells had approximately 20% less lagging chromosomes (29.32 ± 0.45%, than the control cells (35.78 ± 0.45%; Figure 2L,M), suggesting a more efficient error-correction of kinetochore-MT attachments in KD cells.
Altogether, the data indicate a moderate activation of SAC in the KD cells, sufficient to reduce the occurrence of lagging chromosomes.

2.3. Kv10.1 Knockdown Leads to Mitotic Spindle Tilting and Increased Microtubule Plus-End Growth

One of the causes of SAC activation can be an altered positioning of the mitotic spindle. HeLa cells with a larger tilting of the mitotic spindle require more time for biorientation of sister kinetochores due to prolonged activation of the spindle checkpoint [74]. Moreover, both PLK1 and pVHL, altered in Kv10.1-depleted cells, modulate the positioning of the mitotic spindle [75,76,77,78,79,80,81]. We measured the mitotic spindle angle in HeLa cells synchronized at metaphase (Figure 3A). The mitotic spindle angle was determined as the angle between the line connecting the two poles and the growing substrate (Figure 3B). As predicted, the mitotic spindle angle almost doubled in the Kv10.1 KD HeLa cells (17.20°) compared to the controls (9.68°; Figure 3C).
To understand the exact mechanism underlying the effect of Kv10.1 expression on SAC activity and mitotic spindle positioning, we studied the behavior of MTs. It is well-established that both SAC and spindle orientation on one side and MT dynamics on the other are highly interdependent [26,82,83]. We studied the effect of Kv10.1 KD on MT dynamics in cells treated with DME (dimethylenastron). DME is an Eg5 kinesin inhibitor that induces the formation of monopolar prometaphase spindles without affecting the assembly rates of MT plus-tips [84]. Yet, cells with altered MT dynamics and mitotic spindle angle form asymmetric monopolar spindles [85,86]. HeLa cells were treated with 2.5 µM DME, and the mitotic spindles were inspected under a fluorescence microscope for the presence of asymmetric monopolar spindles (Figure 3D). Kv10.1-deficient HeLa cells displayed more asymmetric monopolar spindles (33%) than the control group (24.20%; Figure 3E). The DME-assay has also been suggested as a screen-test for an altered mitotic spindle angle [86]. The DME-assay confirms the results from the direct measurement of the mitotic angle in metaphase-arrested cells: Kv10.1 downregulation is associated with an increased mitotic spindle angle.
To further validate the initial observation of increased MT dynamics in Kv10.1 KD cells, we measured the MT plus-end growth rates directly in living cells with transient Kv10.1 downregulation (upper blue panel, Figure 3F–I; Videos S1 and S2) or upregulation (lower green panel, Figure 3F–I; Videos S3 and S4). The growing MTs were detected by expressing EB3-tdTomato (end-binding protein 3 tandem dimer tomato fluorescent protein) and monitored in cells synchronized in prometaphase. The MT plus-end growth speed, growth length, and dynamicity were then computed with the U-Track software. It should be noted that we excluded the visibly asymmetric monopolar spindles from the analysis to ensure an unbiased assessment of MT dynamics. Due to that, however, cells with the most substantial effects are discarded, and our analysis display only minor changes in MT dynamics under the described conditions. Nevertheless, the growth speed was increased by 8.5% in Kv10.1 KD HeLa cells (20.77 µm·min−1 vs. 19.12 µm·min−1 in control cells; upper blue panel, Figure 3G). Similar to the growth speed, the frequency rate of switching from growth to shrinkage and vice-versa, known as dynamicity, was also increased in knockdown cells (top blue panel, Figure 3H). The displacement of the growing tip (growth length), was increased only by 3.6% upon Kv10.1 downregulation (upper blue panel, Figure 3I). Equivalent results were obtained in hTERT RPE1 cells with transient downregulation of Kv10.1 (Figure S2).
Opposite to Kv10.1 downregulation, overexpression of the channel globally reduced the MT dynamics (lower green panel, Figure 3G–I; Videos S3 and S4). The growth speed, dynamicity, and growth length were also lower in pKCNH1-WT-expressing cells compared to the cells transfected with the empty vector. This result strongly suggests that the alteration of MT dynamics is directly dependent on Kv10.1.
Despite the negative correlation between the MT dynamics and Kv10.1 expression, the causal relationship between Kv10.1 presence and the observed phenotypes remains to be defined. Whether the changes in the expression levels of regulatory proteins appear first, altering the MT behavior, or if the Kv10.1-dependent changes in MT dynamicity lead to mitotic spindle tilting and subsequently to SAC activation remains to be elucidated. We, nevertheless, favor the possibility that Kv10.1 participates in G2/M regulation by modulating the MT behavior, since spindle orientation is not affected by SAC inhibition [74].

2.4. Block of Kv10.1 or ORAI1 Currents Reduces Microtubule Dynamics

The absence of Kv10.1 abolishes both its canonical function (flow of K+) and any possible non-canonical function, such as its participation in supramolecular complexes. K+ currents hyperpolarize the membrane and, therefore, increase the driving force for Ca2+ [87], which controls MT dynamicity both in vitro and in vivo [37,38,88,89,90]. Ca2+ ions also regulate many MT-associated proteins present on the growing tips [40,91]. Besides, there is evidence that Kv10.1 interacts functionally with the Ca2+ channel ORAI1 and participates in store-independent Ca2+ entry (SICE) [41,92]. Thus, we tested the possible implication of such a functional tandem in MT growth during the G2/M phase.
We first studied the colocalization of Kv10.1 and ORAI1 in mitotic cells using proximity ligation assay (PLA). As shown in Figure 4A, using Kv10.1 and ORAI1-directed antibodies, the PLA gave rise to a signal, indicating the proximity of the two channels also in mitotic cells (zoomed-in inset, Figure 4A).
Further, we studied the effect of each of the channel conductance on MT dynamics in live-cell imaging experiments, as before. To block Kv10.1, we used the only specific blocker available, the monoclonal antibody mAb56 [15]. For ORAI1 inhibition, we used AnCoA4, a potent drug directed against the C-terminus of ORAI1 [93]. As controls, we used either the vehicle for AnCoA4 DMSO (dimethyl sulfoxide) or non-specific mouse immunoglobulin of the same isotype as mAb56—IgG (immunoglobulin G) κ2b. The results are presented in Figure 4B–E and Videos S5–S10. Analysis of the time-lapse series showed that both AncoA4 and mAb56 significantly reduced all MT behavioral parameters: growth speed, dynamicity, and growth length (left grey and middle turquoise panels, Figure 4C–E). The effects were not additive: mAb56 and AnCoA4 combination treatment resulted in a smaller reduction in growth speed (right purple panel, Figure 4C). MT dynamicity was reduced by 10.7% in the cells exposed to AnCoA4 (left grey panel, Figure 4D), and by 8.7% in cells treated with mAb56 (middle turquoise panel, Figure 4D). Simultaneous treatment of the cells with AnCoA4 and mAb56 decreased MT dynamicity slightly less than each blocker alone (right purple panel, Figure 4D). The effect was similar on growth length, which was shortened by 14.1% in AnCoA4 (left grey panel, Figure 4E), 4.5% in mAb56 (middle turquoise panel, Figure 4E), and 9% in the combination (right purple panel, Figure 4E).
In summary, AnCoA4 produced significant reductions of all parameters of MT dynamics, and mAb56 still induced significant but smaller effects than AnCoA4. The combined treatment showed no additivity, suggesting a shared mechanism for both blockers and, therefore, a common pathway influenced by Kv10.1 and ORAI1. This observation would be compatible with MT growth regulation by Ca2+ entering the cell through ORAI1 in a Kv10.1-dependent manner. It is essential to point out that the changes induced by channel blockade are opposite to those caused by channel knockdown. Possible reasons for this difference are discussed below.

2.5. Kv10.1 Regulates Intracellular [Ca2+] Oscillations

We have shown that Kv10.1 and ORAI1 are in proximity, and that block of currents of either of them results in altered MT behavior during prometaphase, raising the possibility that Kv10.1 activity induces changes in cytosolic [Ca2+] through the functional interaction with ORAI1.
We tested the effect of blockade of ORAI1 or Kv10.1, and knockdown of Kv10.1, on the behavior of intracellular [Ca2+] during the G2/M transition in HeLa cells. As above, ORAI1 block was achieved by AnCoA4 treatment (using DMSO as a control); Kv10.1 was blocked by mAb56 (mouse IgG κ2b as a control); and Kv10.1 was transiently downregulated by KCNH1-siRNA (non-targeting Scr-siRNA—control). Before imaging, the cells were loaded with the intracellular Ca2+ indicator Fluo-4AM, and the fluorescent signal was recorded over 120 min, which roughly corresponds to the entire duration of M-phase (Figure 5A, Videos S11–S16). The recorded signal was then normalized for photobleaching (Figure 5B). The area under the curve (AUC) and the width and the height of local maxima in the spectrum were determined, as shown in Figure 5C. The mean AUC, which indicates the relative intracellular Ca2+ concentration, was 16.7% smaller in AnCoA4-treated cells (left grey panel, Figure 5D). The block of Kv10.1 currents also reduced the relative amount of intracellular Ca2+, although by only 3.8% (middle turquoise panel, Figure 5D). In comparison, the average intracellular [Ca2+] was elevated by 10% in Kv10.1 KD cells (right blue panel, Figure 5D). Changes both in width (Figure 5E) and in the prominence of the peaks (Figure 5F) can explain differences in AUCs. The block of either of the channels resulted in narrower peaks (left grey and middle turquoise panels, Figure 5E). In contrast, the height of the peaks was not significantly affected (left grey and middle turquoise panels, Figure 5F). Opposingly, Kv10.1 silencing produced more prominent spikes (right blue panel, Figure 5F), but did not change the duration of the peaks (right blue panel, Figure 5G).
Calcium signals are not only encoded in the absolute magnitude of changes but also the frequency and amplitude of calcium oscillations [94]. Therefore, using the same normalized recordings, we calculated the changes in the frequency of intracellular Ca2+ oscillations converting the time domain of the signal into the frequency domain by Fast Fourier transform (Figure 5G). The block of ORAI1 significantly suppressed calcium oscillations. The absolute frequencies were already smaller in AnCoA4-treated cells (Figure 5H). Considering the relative power of each frequency, the average frequency of Ca2+ oscillations was 62.5% lower in ORAI1 blocked cells (3.45 mHz) than in the DMSO-treated cells (9.19 mHz; left grey panel, Figure 5I). As shown in Figure 5H,I (middle turquoise panel), the antibody-mediated block of Kv10.1 did not affect the frequency of oscillations, while Kv10.1 downregulation increased the average frequency of Ca2+ oscillations (right blue panel, Figure 5H). The weighted average frequency was higher in Kv10.1 KD (6.86 mHz) compared to the control group (6.32 mHz; right blue panel, Figure 5I).
As already mentioned, MT growth is affected by Ca2+ ions: Tubulin polymerization is inhibited in the presence of high [Ca2+] in vitro [37,38]. Therefore, Ca2+ oscillations would induce transitions from MT growth to MT shrinkage. A decrease of Ca2+ entry and oscillations would result in reduced dynamicity, while faster oscillations would accelerate the switching between MT growth and shrinkage. The block of ORAI1 decreases both the total cytosolic [Ca2+] and the frequency of cytosolic Ca2+ oscillations. The block of Kv10.1 has a similar effect, albeit less intense. The block of either of the channels shortens the duration of Ca2+ peaks, and thereby the absolute amount of Ca2+ ions entering the cell.
In contrast, siRNA-mediated downregulation of Kv10.1 has opposite effects on intracellular Ca2+, substantially increasing intracellular [Ca2+] and frequency of Ca2+ oscillations. Therefore, Kv10.1 current is required for regulating the duration of Ca2+ spikes, while the frequency is dependent not on the current but the physical presence of Kv10.1. Thus, our data strongly suggest that the origin of changes in MT dynamics under the different treatments reported here correlate to the effects on intracellular Ca2+ dynamics. Additionally, the mitotic spindles of Kv10.1 and ORAI1-inhibited cells appeared smaller and deteriorated (Figure 4A), which is in good agreement with the previously described effect of Ca2+ chelation on the mitotic spindle [39].
Differences between the effect of functional blockade and knockdown of the target are known for other proteins, like AURKB [95]. Our current observation of opposite effects of functional inhibition and depletion of Kv10.1 on MT dynamics and intracellular Ca2+ oscillations is also reminiscent of our previous results on the role of Kv10.1 in primary cilium homeostasis [21]. While the potassium current is necessary for primary cilium disassembly, the overexpression of the channel prevents reciliation in a way independent of the canonical function of the channel, since a non-permeant mutant also produces the effect, as does the C-terminal cytoplasmic domain without the transmembrane segments (see Figure EV3 in [21]). Similarly, abolishing the ability of Kv10.1 to conduct ions through mutagenesis is not enough to completely inhibit its tumor-promoting activity [96]. Furthermore, a non-conducting Kv10.1 splice variant (E65, found in cancer cell lines), activates CDK1 when injected into Xenopus oocytes [97]. The depletion of Kv10.1 would, thus decrease both the full length and the spliced forms of the channel and prevent E65-mediated CDK1 activation. In contrast, this effect would not occur when the channel function is inhibited.
Since canonic store-operated Ca2+ entry is not active during mitosis [98], the possible source of Ca2+ in dividing cells is SICE. Both membrane expression and activity of ORAI1 are dependent on SPCA2 (Secretory Pathway Ca2+-ATPase) [99,100,101]. Recently, it has been shown that SPCA2 also enhances Kv10.1 membrane expression, suggesting a new model of SICE [92]. In this scenario, it is tempting to speculate that the supramolecular complex between SPCA2, ORAI1, and Kv10.1 participates in providing the Ca2+ required for MT growth. Kv10.1, which is inhibited by Ca2+-calmodulin [102,103], would provide the negative control segment of the trio, terminating the signal.

3. Materials and Methods

3.1. Cell Lines

HeLa cells (DSMZ ACC 57) were maintained in RPMI (Roswell Park Memorial Institute Medium) 1640 (Gibco, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 10% fetal calf serum (Biochrom, Berlin, Germany) as recommended by the supplier. hTERT-RPE1 (ATCC CRL 4000) were grown in DMEM (Dulbecco’s modified Eagle’s medium; Gibco, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 10% fetal calf serum and 0.01 mg/mL hygromycin. No antibiotics were used during the experiments. For the imaging experiments, the cells were plated onto fibronectin (Sigma-Aldrich, Munich, Germany)-coated coverslips (#1.5, Paul Marienfeld, Lauda-Königshofen, Germany) in six-well plates (Greiner Bio-One, Frickenhausen, Germany) or glass-bottom four-well μ-ibidi (#1.5, Ibidi, Gräfelfing, Germany) imaging plates.

3.2. Transfections

Transient downregulation of Kv10.1 in HeLa and hTERT RPE1 cells was carried out using Interferin (Polyplus-transfection, New York, NY, USA) transfection reagent according to the manufacturers’ instructions. Co-transfection of siRNA and pEB3-tdTomato (end-binding protein 3 tandem dimer tomato fluorescent protein; a gift from Erik Dent; plasmid #50708, Addgene, Watertown, MA, USA; [104]) was performed with jetPRIME transfection reagent (Polyplus-transfection, Polyplus-transfection, New York, NY, USA). In all cases, the final concentration of siRNAs was 30 nM, and the following sequences of siRNAs were used: KCNH1, 5′-TACAGCCATCTTGGTCCCTTA-3′ (HP Custom siRNA, Qiagen, Hilden, Germany); Scr (Silencer negative control siRNA #1, Ambion, Kaufungen, Germany).
The co-expression of the hEAG1-ptracer (pKCNH1-WT; [5]) and pEB3-tdTomato in HeLa and hTERT RPE1 cells was achieved using the jetPRIME transfection reagent following the manufacturer’s guidelines.

3.3. Cell Cycle Synchronization

Depending on the experiment, HeLa cells were synchronized at various stages of the cell cycle. When needed, 4 h before the synchronization, the cells were transfected with the corresponding siRNAs.
Changes in proteins of interest over time were studied in HeLa cells synchronized at the G1/S border by growing the cells for two periods of 16 h with excess thymidine (2 mM; Sigma-Aldrich, Munich, Germany) and 8 h release in-between. The cells blocked at G1/S were then transferred into fresh growth medium, and cell samples were collected every 2 h between 0 to 6 h and 10 to 14 h, and every hour between 6 to 10 h (G2/M phase). The samples were then used for immunoblot experiments.
For metaphase and anaphase synchronization, the cells were treated only once with 2 mM thymidine for 16 h, then rinsed twice with DPBS (Dulbecco’s phosphate-buffered saline; Gibco, Thermo Fisher Scientific, Waltham, MA, USA) and released in fresh growth medium for 4 h. Subsequently, the cells were exposed to 2 ng/mL nocodazole for 4 h and washed again with DPBS as before. The cells were harvested either at this stage (for PLK1 activity) or synchronized further. For the anaphase, the cells were released for 40 min into a standard growth medium. In the case of metaphase, the cells were further incubated with 15 µM MG132 for 2 h at 37 °C and 5% CO2.
Monopolar spindles were produced by treating asynchronously growing HeLa cells with 2.5 µM DME (dimethylenastron; Calbiochem, Sigma-Aldrich, Munich, Germany) for 4 h at 37 °C and 5% CO2. The cells were then either immediately fixed and used for immunofluorescence or imaged within two hours.
For intracellular calcium imaging, HeLa cells were synchronized at the G2/M border by a double thymidine protocol followed by a release into a fresh growth medium for 7.5 h.

3.4. Protein Extracts

Proteins were extracted from the synchronized cell pellets with a non-denaturing lysis buffer (1% Triton X-100, 50 mM Tris-HCl, 300 mM NaCl, 5 mM EDTA) containing phosphatase and protease inhibitor cocktail (Roche, Penzberg, Germany) for 30 min at room temperature (RT) in 1:3 ratio (volume-to-volume, v:v). Nuclear proteins were extracted with lysis buffer containing 1% (v:v) NP-40, 0.1% (weight-to-volume, w:v) Na-deoxycholate, 300 mM NaCl, 50 mM Tris-HCl, and phosphatase and protease inhibitors. The lysates were centrifuged at 18,000× g for 15 min at 4 °C, and the supernatant was recovered and stored at −80 °C. Protein concentration was determined with the BCA (bicinchoninic acid) assay calibrated with BSA (bovine serum albumin provided with the kit) according to the manufacturer’s recommendations. Protein samples (50 μg) were denatured by incubation at 70 °C for 10 min with the NuPAGE Reducing agent (1:10, v:v; Invitrogen, Carlsbad, CA, USA) and the NuPAGE LDS Sample buffer (1:4, v:v; Invitrogen, Carlsbad, CA, USA).

3.5. SDS-PAGE and Immunoblotting

Low and mid-range molecular weight proteins were resolved in 4–12% NuPAGE Novex Bis-Tris Mini Gels (Invitrogen, Carlsbad, CA, USA) at 200 V in NuPAGE MOPS electrophoresis buffer (Invitrogen, Carlsbad, CA, USA) and blotted onto 0.2 µm pore size nitrocellulose membrane (Invitrogen, Carlsbad, CA, USA) at 50 V for 2 h at RT in 10 mM NaHCO3, 3 mM Na2CO3, 0.01% SDS (w:v), and 20% methanol (v:v) transfer buffer. High molecular weight proteins were separated in 3–8% NuPAGE Novex Tris-acetate Gels (Invitrogen, Carlsbad, CA, USA) in Tris-acetate electrophoresis buffer (Invitrogen, Carlsbad, CA, USA) at 150 V, and transferred onto a nitrocellulose membrane (0.45 µm, GE Healthcare, Chicago, IL, USA) by 10 mM NaHCO3, 3 mM Na2CO3, 0.01% SDS, and 15% methanol transfer buffer at 35 V and 4 °C, overnight. After transfer, the membranes were rinsed with distilled water and treated with Western Blot Signal Enhancer (Thermo Fisher Scientific, Waltham, MA, USA) following the manufacturer’s instructions. Non-specific binding was blocked for 90 min with either 0.1% casein (Roche, Penzberg, Germany) or 5% BSA (Sigma-Aldrich, Munich, Germany) in TBS (Tris-buffered saline, 20 mM Tris, 150 mM NaCl) with 0.1% Tween 20. The membranes were then incubated with the appropriate primary antibodies (Table 2) in blocking buffer overnight at 4 °C. After washing with TBST, the membranes were exposed to HRP (horseradish peroxidase)-coupled secondary antibody (Table 2) in blocking buffer for 45 min. Proteins were detected by incubating with a chemiluminescent HRP substrate (Millipore, Billerica, MA, USA) for 5 min and protected from light. The signal was detected with a ChemiDoc XRS system (Bio-Rad Laboratories, Feldkirchen, Germany) controlled by the Quantity One 1-D Analysis software v4.6.9 (Bio-Rad Laboratories, Hercules, CA, USA). Ten images were acquired between 1 s and 10 min of exposure or until saturation was reached. In some cases, the membranes were stripped using Restore Plus Western Blot stripping buffer (Thermo Scientific, Rockford, IL, USA) for 30 min and reused after blocking if no signal was detected in a 5 min exposure after incubating with HRP chemiluminescence substrate.
Changes in expression of the protein of interest were estimated by densitometry analysis using the ImageLab software version 4.1 (Bio-Rad Laboratories, Hercules, CA, USA) using the intensity profile of each lane and normalizing the volume intensity of the bands to the corresponding value for actin.

3.6. Immunoprecipitation

The scarce expression of Kv10.1 in HeLa and hTERT RPE1 cells made it necessary that the efficiency of knockdown was tested by immunoprecipitation with an anti-Kv10.1 monoclonal antibody (Kv10.1-33.mAb), and recovery with protein G magnetic beads (New England BioLabs, Frankfurt am Main, Germany) following the manufacturer’s instructions (Figure S3). The beads were washed three times with 500 µL of cold immunoprecipitation buffer (0.1% Triton X-100, 50 mM Tris-HCl, 300 mM NaCl, 5 mM EDTA and protease inhibitor cocktail) and Kv10.1 was eluted at 70 °C for 10 min in NuPAGE LDS Sample buffer (1:4, v:v).

3.7. Single-Cell Gel Electrophoresis

DNA lesions were detected by alkaline single-cell gel electrophoresis (comet assay) [105]. Cells were plated in a six-well plate, transfected with siRNA one day later and assayed after 48 h. All the steps were carried out under dim light and at 4 °C. The assay was performed in clean CometSlide 2 Well (Trevigen, Gaithersburg, MD, USA) slides coated with 0.5% normal melting point agarose, on which 15,000 cells/well in 1% low melting point agarose were layered. The slides were incubated in lysis buffer (2.5 M NaCl; 0.1 M EDTA; 10 mM Tris, 10% DMSO, v:v; 1% Triton X-100, v:v; pH, 10) for 1 h, placed in cold electrophoresis buffer (1 mM Na2EDTA; 300 mM NaOH; pH > 13) and denatured for 20 min. The electrophoresis was carried out for 20 min at 13 V (0.6 V/cm across the platform) and 300 mA. The slides were neutralized (0.4 M Tris; pH, 7.5) for 10 min and then fixed in ethanol, air-dried overnight, and stained with SYBR Gold (Invitrogen, Carlsbad, CA, USA) following the manufacturer’s instructions. Ten positions in each well of the still-wet slides were imaged on a Nikon TiE-Andor spinning disk microscope (Oxford Instruments, Abingdon, UK) equipped with a PLAN APO VC Air 20× 0.75 NA objective (Nikon Instruments, Amsterdam, Netherlands). Images were acquired with an Andor DU-888 X-9984 camera controlled with the NIS-Elements AR software v.4.50 (Nikon Instruments, Amsterdam, Netherlands). Maximum intensity projections of z-stack images with 0.2 µm z-step size were analyzed using CASPLab open-source software [106].

3.8. Immunofluorescence

To visualize mitotic spindles and kinetochores, cells seeded on coverslips were fixed with 2% p-formaldehyde, 60 mM PIPES, 27 mM HEPES, 10 mM EGTA, 4 mM MgSO4, pH, 7.0 for 5 min at RT, followed by methanol at −20 °C for 5 min. After blocking for 90 min in 10% BSA in DPBST (0.1% Tween-20), the cells were incubated for 2 h at RT with anti-α-tubulin, anti- CENP-B (centromere protein B), or anti-γ-tubulin (see Table 3 for dilutions and specifications), followed by a one-hour incubation with the secondary antibodies conjugated to Alexa Fluor-488, -546 or -633, respectively. Nuclei were counterstained with Hoechst 33342 for 5 min at RT, washed three times with DPBST for 5 min at RT, and mounted using Prolong Gold antifade reagent (Invitrogen). The slides were imaged on a Leica TCS SP5 II confocal laser scanning microscope (Leica Microsystems, Wetzlar, Germany) equipped with HCX PL APO Oil 40× 1.25 NA objective. Images were acquired with a z-optical spacing of 0.2 µm using LAS AF (Leica Microsystems, Wetzlar, Germany) software, and processed with the image analysis software ImageJ2 [107,108,109] (U. S. National Institutes of Health, Bethesda, MD, USA) and Imaris (Bitplane, Oxford Instruments, Belfast, UK).

3.9. Determination of Fan-Shaped Mitotic Spindles

The occurrence of asymmetric (fan-shaped) mitotic spindles was determined in HeLa cells synchronized in prometaphase with DME 48 h post-siRNA transfection. Defective mitotic spindles were analyzed by immunofluorescence microscopy detecting microtubules and DNA. The occurrence of fan-shaped mitotic spindles was defined as a percentage of the defective spindles from the total number of monopolar mitotic spindles.

3.10. Determination of Lagging Chromosomes and Defective Metaphases

To detect lagging chromosomes in anaphase, HeLa cells were transfected with Scr- or KCNH1-siRNAs, and the synchronization with thymidine-nocodazole was started 4 h later. Cells were visualized by immunofluorescence microscopy detecting CENP-B-positive chromosomes. Only chromosomes that were both CENP-B-positive and separated from the two pole-oriented chromosome masses were counted as “lagging chromosomes”.
The defective metaphases were defined in the cells synchronized at metaphase and stained for α-tubulin, CENP-B, Hoechst 33342. Using Hoechst 33342 and CENP-B staining, the alignment of chromosomes was analyzed.

3.11. Determination of Mitotic Spindle Angle

Mitotic spindle angle and the distance between the poles were measured using Imaris v9.0 in HeLa cells synchronized at metaphase and stained for γ- and α-tubulin. Two spheres with a diameter of 1.5 µm around the maximum intensity of γ-tubulin were generated at the centrosomes. A third sphere was positioned as a projection of one of the centrosomes at the z-level of the opposite centrosome.

3.12. Determination of the Polo-Like Kinase 1 Enzymatic Activity

PLK1 activity was measured in lysates from cells synchronized at G1/S and prophase using CycLex Polo-like kinase 1 Assay/Inhibitor Screening Kit (MBL International Corporation, Woburn, MA, USA). The reaction was started by addition of 180 µL of Kinase Reaction Buffer to 20 µL cell lysates (50 µg protein) in microtiter wells coated with recombinant Protein-X as PLK1 substrate (CycLex Kit) and incubated for 2 h at 30 °C. The rest of the steps were performed according to the instructions in the kit protocol. Only lysis buffer was used as a negative control and 0.2 mU of purified recombinant PLK1—as a positive control. All samples were prepared in duplicates. The absorbance in each well was measured using dual wavelengths at 450/540 nm on a Wallac 1420 VICTOR2 microplate reader (Wallac Distribution GmbH, Freiburg, Germany).

3.13. Proximity Ligation Assay

The interaction of Kv10.1 and ORAI1 in asynchronously growing HeLa cells was assessed with the Duolink PLA kit (Sigma-Aldrich, St. Louis, MO, USA) following the manufacturer’s instructions using anti-Kv10.1 (mAb62; 1:2000, mouse monoclonal) and anti-ORAI1 (Alomone Biolabs; 1:200, rabbit polyclonal) antibodies and imaged with a Leica TCS SP5 II confocal microscope equipped with HCX PL APO Oil 40× 1.25 NA objective.

3.14. Live Cell Imaging

All time-lapse imaging experiments were performed on a Nikon TiE-Andor spinning disk confocal microscope equipped with a PLAN APO-TIRF 100× 1.49 NA oil immersion objective. Images were acquired with an Andor DU-888 X-9984 camera controlled with NIS-Elements software.

3.15. Assessment of Microtubule Dynamics

Microtubule plus-end assembly rates were determined by tracking EB3-tdTomato in living cells. HeLa and hTERT RPE1 cells were transfected with pEB3-tdTomato alone or in combination with siRNAs. 48 h later, the cells were treated with 2.5 µM DME in a phenol-red free medium for 3.5 h, and transferred to the environmental control chamber of the microscope (37 °C and 5% CO2) and further incubated until a total incubation time of 4 h. Throughout the entire experiment, the temperature was maintained constant at 37 °C. Images were acquired with 500 ms intervals for 1 min. EB3-tdTomato was excited using the 561 nm laser line, and the emission was collected with a 600/52 emission filter. The MT dynamics were analyzed with U-Track 2.2.0 following the authors’ guidelines [110,111,112].

3.16. Intracellular Calcium Imaging in HeLa Cells

Fluctuations in cytosolic [Ca2+] were monitored in HeLa cells synchronized at the G2/M phase using Fluo-4AM (Invitrogen, Carlsbad, CA, USA) [113]. After 6.5 h of release from the second block with thymidine, the cells were incubated with 10 µM Fluo-4AM in phenol-red free DMEM medium for 50 min, and then the medium was replaced, and image acquisition was performed at 37 °C and 5% CO2. Image acquisition started at 60 min after the addition of Fluo4-AM at five positions per well for 2 h every 10 s.
In each recorded image, ten cells were manually selected as regions of interest (ROIs; in total, 50 cells per condition), and three background ROIs of constant size were identified. The intensity values in each ROI were measured over time with the NIS-Elements software. The corrected total cell fluorescence (CTCF) for each ROI and time point was calculated as a difference of the cell integrated intensity and the product of multiplication of the area of the selected cell and the mean background fluorescence. The generated CTCF values were further analyzed using MATLAB. In the time domain, a linear function was fitted to the collected data to compensate for the baseline drift resulting from photobleaching. The baseline was then subtracted from the measured values, generating normalized CTCFs. Additionally, to make the collected data comparable between experiments, the values were expressed as a percent change to the respective time-point “0”. The area under the curve (AUC), prominence, and full width at half maximum (FWHM) were calculated using trapz and findpeaks functions. Further, the time domain was transformed into a frequency domain by applying a Fast Fourier Transformation. The two-sided, and then the single-sided spectra were computed. The frequencies were sorted after power spectrum density (PSD) in descending order, and the first 15 values were used to calculate the weighted average frequency, defined as a mean of the product of frequency and the respective PSD.

3.17. Statistical Analysis

All data were analyzed using Prism software v8.4.3 (GraphPad Software LLC, San Diego, CA, USA). The analysis used for each experiment is indicated in the corresponding Figure legend. Data are shown as the median with interquartile range or the mean with standard error (SEM). p-value < 0.05 was considered statistically significant.

4. Discussion

Our current understanding of the Kv10.1 implication in the G2/M phase involves both canonical (ion-channel activity) and non-canonical (massive intracellular domains and the splice variants present in the cell) mechanisms (Figure 6). On the one hand, Kv10.1/ORAI1 tandem triggers changes in intracellular Ca2+ behavior. The fluctuations in [Ca2+] can directly affect the MT growth and change the activity of many of the proteins, which can translate the information encoded in the frequency and amplitude of Ca2+ oscillations [94]. Considering the centrosomal localization of Kv10.1 [21], the decoding would take place at the centrosomes—a hub for a myriad of cell cycle regulators, including AURKA (Aurora kinase A) and PLK1 [114]. Ca2+/CaM transiently activates both these kinases during the G2/M transition [115,116]. It is, therefore, appealing to speculate that AURKA and PLK1 might react to Kv10.1/ORAI1 driven changes in cytosolic Ca2+ oscillations.
On the other hand, the physical presence of Kv10.1 both at the centrosomes and the split-forms in the cytosol hold a high potential of interacting and controlling the activity of many enzymes involved in mitosis. It is tempting to speculate that Kv10.1 can interfere with the activation of CDK1, AURKA, and PLK1 independently of its conductance. As already mentioned, the spliced form of the channel E65 activates CDK1 in Xenopus oocytes [97]. Interestingly, a positive feedback loop exists between AURKA, CDK1, and PLK1 [117,118,119,120,121]. All these three kinases are implicated in microtubule growth and SAC regulation [122,123,124]. Therefore, any imbalance in this system during mitosis can affect MT dynamicity, the positioning, or even formation of the mitotic spindle. In either way, SAC response will be altered, delaying, or speeding up the metaphase-to-anaphase transition.

5. Conclusions

The tumor specificity and ease of access of Kv10.1 make it an attractive candidate for cancer treatment. However, the clinical development of Kv10.1-directed therapies has faced difficulties due to the incomplete understanding of the underlying molecular mechanisms. Here, we attempted to bridge that gap and broaden our very limited knowledge on the implication of ion channels in cell growth. Furthermore, understanding the molecular mechanisms causing the different effects of functional inhibition or gene-silencing mediated downregulation of Kv10.1 can help to tailor cancer treatment to tumor phenotype. Therefore, although the current work in cell lines cannot be directly translated to the clinical scenario, we are persuaded that Kv10.1 will be a relevant oncological target in the future.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6694/12/9/2409/s1. Figure S1: Kv10.1 downregulation activates DNA damage-induced checkpoint in the absence of DNA damage in HeLa cells. Figure S2: Kv10.1 downregulation leads to increased microtubule plus end growth rates in hTERT RPE1 cells. Figure S3: Efficacy of siRNA-mediated downregulation of Kv10.1 in HeLa cells. Videos S1–S16: https://zenodo.org/record/3951101#.XxXVqS9h1R0. Videos S1–S10: Time-lapse images of a mitotic HeLa cell expressing EB3-tdTomato synchronized in prophase with DME-protocol and analyzed with U-Track software are given (duration, 1 min; interval, 500 ms; growth tracks are marked in red). Videos S1 and S2: A representative time-lapse image of a cell transfected with Scr- or KCNH1-siRNA (Kv10.1 downregulation). Videos S3 and S4: A representative time-lapse image of a cell transfected with pEmpty (plasmid backbone only) or pKCNH1-WT (wild-type Kv10.1 overexpression). Videos S5 and S6: A representative time-lapse image of a cell treated with DMSO (dimethyl sulfoxide) or AnCoA4 (ORAI1 conductance block). Videos S7 and S8: A representative time-lapse image of a cell treated with IgG (immunoglobulin G) or mAb56 (Kv10.1 conductance block). Videos S9 and S10: A representative time-lapse image of a cell treated with mAb56 + DMSO or mAb56 + AnCoA4 (simultaneous block of Kv10.1 and ORAI1). Videos S11–S16: Time-lapse images of HeLa cells synchronized at G2/M with double pulse thymidine protocol, preloaded with an intracellular calcium indicator Fluo-4AM are given (duration, from 10 min to 120 min after the start of the imaging; interval, 5 s; “Red Fire” LUT is applied showing the changes in Fluo-4 intensity). Videos S11 and S12: A representative time-lapse image of a cell treated with DMSO or AnCoA4 (ORAI1 conductance block). Videos S13 and S14: A representative time-lapse image of a cell treated with IgG or mAb56 (Kv10.1 conductance block). Videos S15 and S16: A representative time-lapse image of a cell transfected with Scr- or KCNH1-siRNA (Kv10.1 downregulation).

Author Contributions

Conceptualization, N.M. and L.A.P.; formal analysis, N.M.; investigation, N.M. and L.A.P.; data curation, N.M.; writing—original draft preparation, N.M.; writing—review and editing, N.M. and L.A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Max-Planck Society.

Acknowledgments

We thank Kerstin Dümke and Victor Diaz-Salamanca for expert technical assistance; Blanche Schwappach, Steven Johnsen, and all the members of the oncophysiology group for insightful discussions. We also thank M. Mitkovski and the Light Microscopy Facility at the Max Planck Institute for Experimental Medicine for help with setting up imaging methods. We especially thank Maria Luisa Sierra (University of Oviedo) for her support with the comet assays.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Gutman, G.A.; Chandy, K.G.; Grissmer, S.; Lazdunski, M.; McKinnon, D.; Pardo, L.A.; Robertson, G.A.; Rudy, B.; Sanguinetti, M.C.; Stuhmer, W.; et al. International Union of Pharmacology. LIII. Nomenclature and molecular relationships of voltage-gated potassium channels. Pharmacol. Rev. 2005, 57, 473–508. [Google Scholar] [CrossRef] [PubMed]
  2. Martin, S.; Lino de Oliveira, C.; Mello de Queiroz, F.; Pardo, L.A.; Stuhmer, W.; Del Bel, E. Eag1 potassium channel immunohistochemistry in the CNS of adult rat and selected regions of human brain. Neuroscience 2008, 155, 833–844. [Google Scholar] [CrossRef] [PubMed]
  3. Mortensen, L.S.; Schmidt, H.; Farsi, Z.; Barrantes-Freer, A.; Rubio, M.E.; Ufartes, R.; Eilers, J.; Sakaba, T.; Stuhmer, W.; Pardo, L.A. KV 10.1 opposes activity-dependent increase in Ca2+ influx into the presynaptic terminal of the parallel fibre-Purkinje cell synapse. J. Physiol. 2015, 593, 181–196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Li, X.; Martinson, A.S.; Layden, M.J.; Diatta, F.H.; Sberna, A.P.; Simmons, D.K.; Martindale, M.Q.; Jegla, T.J. Ether-a-go-go family voltage-gated K+ channels evolved in an ancestral metazoan and functionally diversified in a cnidarian-bilaterian ancestor. J. Exp. Biol. 2015, 218, 526–536. [Google Scholar] [CrossRef] [Green Version]
  5. Pardo, L.A.; del Camino, D.; Sanchez, A.; Alves, F.; Bruggemann, A.; Beckh, S.; Stuhmer, W. Oncogenic potential of EAG K(+) channels. EMBO J. 1999, 18, 5540–5547. [Google Scholar] [CrossRef]
  6. Agarwal, J.R.; Griesinger, F.; Stuhmer, W.; Pardo, L.A. The potassium channel Ether a go-go is a novel prognostic factor with functional relevance in acute myeloid leukemia. Mol. Cancer 2010, 9, 18. [Google Scholar] [CrossRef] [Green Version]
  7. Asher, V.; Khan, R.; Warren, A.; Shaw, R.; Schalkwyk, G.V.; Bali, A.; Sowter, H.M. The Eag potassium channel as a new prognostic marker in ovarian cancer. Diagn. Pathol. 2010, 5, 78. [Google Scholar] [CrossRef] [Green Version]
  8. Ding, X.W.; Luo, H.S.; Jin, X.; Yan, J.J.; Ai, Y.W. Aberrant expression of Eag1 potassium channels in gastric cancer patients and cell lines. Med. Oncol. 2007, 24, 345–350. [Google Scholar] [CrossRef]
  9. Ding, X.W.; Wang, X.G.; Luo, H.S.; Tan, S.Y.; Gao, S.; Luo, B.; Jiang, H. Expression and prognostic roles of Eag1 in resected esophageal squamous cell carcinomas. Dig. Dis. Sci. 2008, 53, 2039–2044. [Google Scholar] [CrossRef]
  10. Hemmerlein, B.; Weseloh, R.M.; Mello de Queiroz, F.; Knotgen, H.; Sanchez, A.; Rubio, M.E.; Martin, S.; Schliephacke, T.; Jenke, M.; Heinz Joachim, R.; et al. Overexpression of Eag1 potassium channels in clinical tumours. Mol. Cancer 2006, 5, 41. [Google Scholar] [CrossRef] [Green Version]
  11. Martinez, R.; Stuhmer, W.; Martin, S.; Schell, J.; Reichmann, A.; Rohde, V.; Pardo, L. Analysis of the expression of Kv10.1 potassium channel in patients with brain metastases and glioblastoma multiforme: Impact on survival. BMC Cancer 2015, 15, 839. [Google Scholar] [CrossRef] [Green Version]
  12. Mello de Queiroz, F.; Suarez-Kurtz, G.; Stuhmer, W.; Pardo, L.A. Ether a go-go potassium channel expression in soft tissue sarcoma patients. Mol. Cancer 2006, 5, 42. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Ousingsawat, J.; Spitzner, M.; Puntheeranurak, S.; Terracciano, L.; Tornillo, L.; Bubendorf, L.; Kunzelmann, K.; Schreiber, R. Expression of voltage-gated potassium channels in human and mouse colonic carcinoma. Clin. Cancer Res. 2007, 13, 824–831. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Wadhwa, S.; Wadhwa, P.; Dinda, A.K.; Gupta, N.P. Differential expression of potassium ion channels in human renal cell carcinoma. Int. Urol. Nephrol. 2009, 41, 251–257. [Google Scholar] [CrossRef]
  15. Gomez-Varela, D.; Zwick-Wallasch, E.; Knotgen, H.; Sanchez, A.; Hettmann, T.; Ossipov, D.; Weseloh, R.; Contreras-Jurado, C.; Rothe, M.; Stuhmer, W.; et al. Monoclonal antibody blockade of the human Eag1 potassium channel function exerts antitumor activity. Cancer Res. 2007, 67, 7343–7349. [Google Scholar] [CrossRef] [Green Version]
  16. Wu, J.; Wu, X.; Zhong, D.; Zhai, W.; Ding, Z.; Zhou, Y. Short Hairpin RNA (shRNA) Ether a go-go 1 (Eag1) inhibition of human osteosarcoma angiogenesis via VEGF/PI3K/AKT signaling. Int. J. Mol. Sci. 2012, 13, 12573–12583. [Google Scholar] [CrossRef]
  17. Wu, X.; Zhong, D.; Gao, Q.; Zhai, W.; Ding, Z.; Wu, J. MicroRNA-34a inhibits human osteosarcoma proliferation by downregulating ether a go-go 1 expression. Int. J. Med. Sci. 2013, 10, 676–682. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Wu, J.; Zhong, D.; Fu, X.; Liu, Q.; Kang, L.; Ding, Z. Silencing of Ether a go-go 1 by shRNA inhibits osteosarcoma growth and cell cycle progression. Int. J. Mol. Sci. 2014, 15, 5570–5581. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Spitzner, M.; Ousingsawat, J.; Scheidt, K.; Kunzelmann, K.; Schreiber, R. Voltage-gated K+ channels support proliferation of colonic carcinoma cells. FASEB J. 2007, 21, 35–44. [Google Scholar] [CrossRef]
  20. Garcia-Quiroz, J.; Garcia-Becerra, R.; Santos-Martinez, N.; Barrera, D.; Ordaz-Rosado, D.; Avila, E.; Halhali, A.; Villanueva, O.; Ibarra-Sanchez, M.J.; Esparza-Lopez, J.; et al. In vivo dual targeting of the oncogenic Ether-a-go-go-1 potassium channel by calcitriol and astemizole results in enhanced antineoplastic effects in breast tumors. BMC Cancer 2014, 14, 745. [Google Scholar] [CrossRef] [Green Version]
  21. Sanchez, A.; Urrego, D.; Pardo, L.A. Cyclic expression of the voltage-gated potassium channel KV10.1 promotes disassembly of the primary cilium. EMBO Rep. 2016, 17, 708–723. [Google Scholar] [CrossRef] [PubMed]
  22. Urrego, D.; Movsisyan, N.; Ufartes, R.; Pardo, L.A. Periodic expression of Kv10.1 driven by pRb/E2F1 contributes to G2/M progression of cancer and non-transformed cells. Cell Cycle 2016, 15, 799–811. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Heim, A.; Rymarczyk, B.; Mayer, T.U. Regulation of Cell Division. Adv. Exp. Med. Biol 2017, 953, 83–116. [Google Scholar] [CrossRef]
  24. Shaltiel, I.A.; Krenning, L.; Bruinsma, W.; Medema, R.H. The same, only different—DNA damage checkpoints and their reversal throughout the cell cycle. J. Cell Sci. 2015, 128, 607–620. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Musacchio, A.; Salmon, E.D. The spindle-assembly checkpoint in space and time. Nat. Rev. Mol. Cell Biol. 2007, 8, 379–393. [Google Scholar] [CrossRef]
  26. Saurin, A.T. Kinase and Phosphatase Cross-Talk at the Kinetochore. Front. Cell Dev. Biol. 2018, 6, 62. [Google Scholar] [CrossRef] [Green Version]
  27. Barghouth, P.G.; Thiruvalluvan, M.; Oviedo, N.J. Bioelectrical regulation of cell cycle and the planarian model system. Biochim. Biophys. Acta 2015, 1848, 2629–2637. [Google Scholar] [CrossRef] [Green Version]
  28. Blackiston, D.J.; McLaughlin, K.A.; Levin, M. Bioelectric controls of cell proliferation: Ion channels, membrane voltage and the cell cycle. Cell Cycle 2009, 8, 3527–3536. [Google Scholar] [CrossRef] [Green Version]
  29. Kahl, C.R.; Means, A.R. Regulation of cell cycle progression by calcium/calmodulin-dependent pathways. Endocr. Rev. 2003, 24, 719–736. [Google Scholar] [CrossRef] [Green Version]
  30. Roderick, H.L.; Cook, S.J. Ca2+ signalling checkpoints in cancer: Remodelling Ca2+ for cancer cell proliferation and survival. Nat. Rev. Cancer 2008, 8, 361–375. [Google Scholar] [CrossRef] [Green Version]
  31. Humeau, J.; Bravo-San Pedro, J.M.; Vitale, I.; Nunez, L.; Villalobos, C.; Kroemer, G.; Senovilla, L. Calcium signaling and cell cycle: Progression or death. Cell Calcium 2018, 70, 3–15. [Google Scholar] [CrossRef] [PubMed]
  32. Kao, J.P.; Alderton, J.M.; Tsien, R.Y.; Steinhardt, R.A. Active involvement of Ca2+ in mitotic progression of Swiss 3T3 fibroblasts. J. Cell Biol. 1990, 111, 183–196. [Google Scholar] [CrossRef] [PubMed]
  33. Poenie, M.; Alderton, J.; Steinhardt, R.; Tsien, R. Calcium rises abruptly and briefly throughout the cell at the onset of anaphase. Science 1986, 233, 886–889. [Google Scholar] [CrossRef] [PubMed]
  34. Ratan, R.R.; Maxfield, F.R.; Shelanski, M.L. Long-lasting and rapid calcium changes during mitosis. J. Cell Biol. 1988, 107, 993–999. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Tombes, R.M.; Borisy, G.G. Intracellular free calcium and mitosis in mammalian cells: Anaphase onset is calcium modulated, but is not triggered by a brief transient. J. Cell Biol. 1989, 109, 627–636. [Google Scholar] [CrossRef] [PubMed]
  36. Whitaker, M.; Larman, M.G. Calcium and mitosis. Semin. Cell Dev. Biol. 2001, 12, 53–58. [Google Scholar] [CrossRef]
  37. Nishida, E.; Kumagai, H.; Ohtsuki, I.; Sakai, H. The Interactions between Calcium-Dependent Regulator Protein of Cyclic Nucleotide Phosphodiesterase and Microtubule Proteins. I. Effect of Calcium-Dependent Regulator Protein on the Calcium Sensitivity of Microtubule Assembly. J. Biochem. 1979, 85, 1257–1266. [Google Scholar]
  38. Sandoval, I.V.; Weber, K. Calcium-induced inactivation of microtubule formation in brain extracts. Presence of a calcium-dependent protease acting on polymerization-stimulating microtubule-associated proteins. Eur. J. Biochem. 1978, 92, 463–470. [Google Scholar] [CrossRef]
  39. Xu, N.; Luo, K.Q.; Chang, D.C. Ca2+ signal blockers can inhibit M/A transition in mammalian cells by interfering with the spindle checkpoint. Biochem. Biophys. Res. Commun. 2003, 306, 737–745. [Google Scholar] [CrossRef]
  40. Buljan, V.; Ivanova, E.P.; Cullen, K.M. How calcium controls microtubule anisotropic phase formation in the presence of microtubule-associated proteins in vitro. Biochem. Biophys. Res. Commun. 2009, 381, 224–228. [Google Scholar] [CrossRef]
  41. Badaoui, M.; Mimsy-Julienne, C.; Saby, C.; Van Gulick, L.; Peretti, M.; Jeannesson, P.; Morjani, H.; Ouadid-Ahidouch, H. Collagen type 1 promotes survival of human breast cancer cells by overexpressing Kv10.1 potassium and Orai1 calcium channels through DDR1-dependent pathway. Oncotarget 2018, 9, 24653–24671. [Google Scholar] [CrossRef] [PubMed]
  42. Smith, J.; Tho, L.M.; Xu, N.; Gillespie, D.A. The ATM-Chk2 and ATR-Chk1 pathways in DNA damage signaling and cancer. Adv. Cancer Res. 2010, 108, 73–112. [Google Scholar] [CrossRef] [PubMed]
  43. Vauzour, D.; Vafeiadou, K.; Rice-Evans, C.; Cadenas, E.; Spencer, J.P. Inhibition of cellular proliferation by the genistein metabolite 5,7,3′,4′-tetrahydroxyisoflavone is mediated by DNA damage and activation of the ATR signalling pathway. Arch. Biochem. Biophys. 2007, 468, 159–166. [Google Scholar] [CrossRef] [PubMed]
  44. Jiang, K.; Pereira, E.; Maxfield, M.; Russell, B.; Goudelock, D.M.; Sanchez, Y. Regulation of Chk1 includes chromatin association and 14-3-3 binding following phosphorylation on Ser-345. J. Biol. Chem. 2003, 278, 25207–25217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Zhao, H.; Piwnica-Worms, H. ATR-mediated checkpoint pathways regulate phosphorylation and activation of human Chk1. Mol. Cell Biol. 2001, 21, 4129–4139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Lin, S.Y.; Li, K.; Stewart, G.S.; Elledge, S.J. Human Claspin works with BRCA1 to both positively and negatively regulate cell proliferation. Proc. Natl. Acad. Sci. USA 2004, 101, 6484–6489. [Google Scholar] [CrossRef] [Green Version]
  47. Speit, G.; Rothfuss, A. The comet assay: A sensitive genotoxicity test for the detection of DNA damage and repair. Methods Mol. Biol. 2012, 920, 79–90. [Google Scholar] [CrossRef]
  48. Baumann, K. Nuclear envelope: ATR senses mechanical stress. Nat. Rev. Mol. Cell Biol. 2014, 15, 559. [Google Scholar] [CrossRef]
  49. Burgess, R.C.; Burman, B.; Kruhlak, M.J.; Misteli, T. Activation of DNA damage response signaling by condensed chromatin. Cell Rep. 2014, 9, 1703–1717. [Google Scholar] [CrossRef] [Green Version]
  50. Eliezer, Y.; Argaman, L.; Kornowski, M.; Roniger, M.; Goldberg, M. Interplay between the DNA damage proteins MDC1 and ATM in the regulation of the spindle assembly checkpoint. J. Biol. Chem. 2014, 289, 8182–8193. [Google Scholar] [CrossRef] [Green Version]
  51. Kidiyoor, G.R.; Kumar, A.; Foiani, M. ATR-mediated regulation of nuclear and cellular plasticity. DNA Repair 2016, 44, 143–150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Lawrence, K.S.; Chau, T.; Engebrecht, J. DNA damage response and spindle assembly checkpoint function throughout the cell cycle to ensure genomic integrity. PLoS Genet. 2015, 11, e1005150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Zhang, S.; Hemmerich, P.; Grosse, F. Centrosomal localization of DNA damage checkpoint proteins. J. Cell Biochem. 2007, 101, 451–465. [Google Scholar] [CrossRef] [PubMed]
  54. Chabalier-Taste, C.; Racca, C.; Dozier, C.; Larminat, F. BRCA1 is regulated by Chk2 in response to spindle damage. Biochim. Biophys. Acta 2008, 1783, 2223–2233. [Google Scholar] [CrossRef]
  55. Golan, A.; Pick, E.; Tsvetkov, L.; Nadler, Y.; Kluger, H.; Stern, D.F. Centrosomal Chk2 in DNA damage responses and cell cycle progression. Cell Cycle 2010, 9, 2647–2656. [Google Scholar] [CrossRef] [Green Version]
  56. Ertych, N.; Stolz, A.; Valerius, O.; Braus, G.H.; Bastians, H. CHK2-BRCA1 tumor-suppressor axis restrains oncogenic Aurora-A kinase to ensure proper mitotic microtubule assembly. Proc. Natl. Acad. Sci. USA 2016, 113, 1817–1822. [Google Scholar] [CrossRef] [Green Version]
  57. Shang, Z.; Yu, L.; Lin, Y.F.; Matsunaga, S.; Shen, C.Y.; Chen, B.P. DNA-PKcs activates the Chk2-Brca1 pathway during mitosis to ensure chromosomal stability. Oncogenesis 2014, 3, e85. [Google Scholar] [CrossRef] [Green Version]
  58. Stolz, A.; Ertych, N.; Kienitz, A.; Vogel, C.; Schneider, V.; Fritz, B.; Jacob, R.; Dittmar, G.; Weichert, W.; Petersen, I.; et al. The CHK2-BRCA1 tumour suppressor pathway ensures chromosomal stability in human somatic cells. Nat. Cell Biol. 2010, 12, 492–499. [Google Scholar] [CrossRef]
  59. Yeh, C.W.; Yu, Z.C.; Chen, P.H.; Cheng, Y.C.; Shieh, S.Y. Phosphorylation at threonine 288 by cell cycle checkpoint kinase 2 (CHK2) controls human monopolar spindle 1 (Mps1) kinetochore localization. J. Biol. Chem. 2014, 289, 15319–15327. [Google Scholar] [CrossRef] [Green Version]
  60. King, R.W.; Peters, J.-M.; Tugendreich, S.; Rolfe, M.; Hieter, P.; Kirschner, M.W. A 20s complex containing CDC27 and CDC16 catalyzes the mitosis-specific conjugation of ubiquitin to cyclin B. Cell 1995, 81, 279–288. [Google Scholar] [CrossRef] [Green Version]
  61. Schmidt, M.; Rohe, A.; Platzer, C.; Najjar, A.; Erdmann, F.; Sippl, W. Regulation of G2/M Transition by Inhibition of WEE1 and PKMYT1 Kinases. Molecules 2017, 22, 2045. [Google Scholar] [CrossRef] [Green Version]
  62. Chow, J.P.; Poon, R.Y.; Ma, H.T. Inhibitory phosphorylation of cyclin-dependent kinase 1 as a compensatory mechanism for mitosis exit. Mol. Cell Biol. 2011, 31, 1478–1491. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Di Fiore, B.; Pines, J. How cyclin A destruction escapes the spindle assembly checkpoint. J. Cell Biol. 2010, 190, 501–509. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Collin, P.; Nashchekina, O.; Walker, R.; Pines, J. The spindle assembly checkpoint works like a rheostat rather than a toggle switch. Nat. Cell Biol. 2013, 15, 1378–1385. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Thoma, C.R.; Toso, A.; Gutbrodt, K.L.; Reggi, S.P.; Frew, I.J.; Schraml, P.; Hergovich, A.; Moch, H.; Meraldi, P.; Krek, W. VHL loss causes spindle misorientation and chromosome instability. Nat. Cell Biol. 2009, 11, 994–1001. [Google Scholar] [CrossRef] [PubMed]
  66. Shao, H.; Huang, Y.; Zhang, L.; Yuan, K.; Chu, Y.; Dou, Z.; Jin, C.; Garcia-Barrio, M.; Liu, X.; Yao, X. Spatiotemporal dynamics of Aurora B-PLK1-MCAK signaling axis orchestrates kinetochore bi-orientation and faithful chromosome segregation. Sci. Rep. 2015, 5, 12204. [Google Scholar] [CrossRef]
  67. Krenn, V.; Musacchio, A. The Aurora B Kinase in Chromosome Bi-Orientation and Spindle Checkpoint Signaling. Front. Oncol. 2015, 5, 225. [Google Scholar] [CrossRef] [Green Version]
  68. Shandilya, J.; Medler, K.F.; Roberts, S.G. Regulation of AURORA B function by mitotic checkpoint protein MAD2. Cell Cycle 2016, 15, 2196–2201. [Google Scholar] [CrossRef] [Green Version]
  69. Zachos, G.; Black, E.J.; Walker, M.; Scott, M.T.; Vagnarelli, P.; Earnshaw, W.C.; Gillespie, D.A.F. Chk1 Is Required for Spindle Checkpoint Function. Dev. Cell 2007, 12, 247–260. [Google Scholar] [CrossRef] [Green Version]
  70. Peddibhotla, S.; Lam, M.H.; Gonzalez-Rimbau, M.; Rosen, J.M. The DNA-damage effector checkpoint kinase 1 is essential for chromosome segregation and cytokinesis. Proc. Natl. Acad. Sci. USA 2009, 106, 5159–5164. [Google Scholar] [CrossRef] [Green Version]
  71. Enders, G.H. Expanded roles for Chk1 in genome maintenance. J. Biol. Chem. 2008, 283, 17749–17752. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Petsalaki, E.; Zachos, G. Chk2 prevents mitotic exit when the majority of kinetochores are unattached. J. Cell Biol. 2014, 205, 339–356. [Google Scholar] [CrossRef] [PubMed]
  73. Lera, R.F.; Burkard, M.E. High mitotic activity of Polo-like kinase 1 is required for chromosome segregation and genomic integrity in human epithelial cells. J. Biol. Chem. 2012, 287, 42812–42825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Charnley, M.; Anderegg, F.; Holtackers, R.; Textor, M.; Meraldi, P. Effect of Cell Shape and Dimensionality on Spindle Orientation and Mitotic Timing. PLoS ONE 2013, 8, e66918. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Hergovich, A.; Lisztwan, J.; Barry, R.; Ballschmieter, P.; Krek, W. Regulation of microtubule stability by the von Hippel-Lindau tumour suppressor protein pVHL. Nat. Cell Biol. 2003, 5, 64–70. [Google Scholar] [CrossRef]
  76. Lolkema, M.P.; Mans, D.A.; Snijckers, C.M.; van Noort, M.; van Beest, M.; Voest, E.E.; Giles, R.H. The von Hippel-Lindau tumour suppressor interacts with microtubules through kinesin-2. FEBS Lett. 2007, 581, 4571–4576. [Google Scholar] [CrossRef] [Green Version]
  77. Lolkema, M.P.; Mehra, N.; Jorna, A.S.; van Beest, M.; Giles, R.H.; Voest, E.E. The von Hippel-Lindau tumor suppressor protein influences microtubule dynamics at the cell periphery. Exp. Cell Res. 2004, 301, 139–146. [Google Scholar] [CrossRef]
  78. Hanafusa, H.; Kedashiro, S.; Tezuka, M.; Funatsu, M.; Usami, S.; Toyoshima, F.; Matsumoto, K. PLK1-dependent activation of LRRK1 regulates spindle orientation by phosphorylating CDK5RAP2. Nat. Cell Biol. 2015, 17, 1024–1035. [Google Scholar] [CrossRef]
  79. Miyamoto, T.; Akutsu, S.N.; Fukumitsu, A.; Morino, H.; Masatsuna, Y.; Hosoba, K.; Kawakami, H.; Yamamoto, T.; Shimizu, K.; Ohashi, H.; et al. PLK1-mediated phosphorylation of WDR62/MCPH2 ensures proper mitotic spindle orientation. Hum. Mol. Genet. 2017, 26, 4429–4440. [Google Scholar] [CrossRef] [Green Version]
  80. Kiyomitsu, T.; Cheeseman, I.M. Chromosome- and spindle-pole-derived signals generate an intrinsic code for spindle position and orientation. Nat. Cell Biol. 2012, 14, 311–317. [Google Scholar] [CrossRef] [Green Version]
  81. Sana, S.; Keshri, R.; Rajeevan, A.; Kapoor, S.; Kotak, S. Plk1 regulates spindle orientation by phosphorylating NuMA in human cells. Life Sci. Alliance 2018, 1, e201800223. [Google Scholar] [CrossRef] [PubMed]
  82. Kotak, S. Mechanisms of Spindle Positioning: Lessons from Worms and Mammalian Cells. Biomolecules 2019, 9, 80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Wu, H.Y.; Nazockdast, E.; Shelley, M.J.; Needleman, D.J. Forces positioning the mitotic spindle: Theories, and now experiments. Bioessays 2017, 39. [Google Scholar] [CrossRef] [PubMed]
  84. Ertych, N.; Stolz, A.; Stenzinger, A.; Weichert, W.; Kaulfuss, S.; Burfeind, P.; Aigner, A.; Wordeman, L.; Bastians, H. Increased microtubule assembly rates influence chromosomal instability in colorectal cancer cells. Nat. Cell Biol. 2014, 16, 779–791. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Stolz, A.; Ertych, N.; Bastians, H. A phenotypic screen identifies microtubule plus end assembly regulators that can function in mitotic spindle orientation. Cell Cycle 2015, 14, 827–837. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Glaubke, E.; Bastians, H. A Cell-Based Assay for Mitotic Spindle Orientation. Methods Mol. Biol. 2018, 1787, 67–75. [Google Scholar] [CrossRef]
  87. Ouadid-Ahidouch, H.; Ahidouch, A. K(+) channels and cell cycle progression in tumor cells. Front. Physiol. 2013, 4, 220. [Google Scholar] [CrossRef] [Green Version]
  88. Hepler, P.K. The Cytoskeleton and Its Regulation by Calcium and Protons. Plant Physiol. 2016, 170, 3–22. [Google Scholar] [CrossRef] [Green Version]
  89. Erneux, C.; Passareiro, H.; Nunez, J. Interaction between calmodulin and microtubule-associated proteins prepared at different stages of brain development. FEBS Lett. 1984, 172, 315–320. [Google Scholar] [CrossRef] [Green Version]
  90. Lee, Y.C.; Wolff, J. Two opposing effects of calmodulin on microtubule assembly depend on the presence of microtubule-associated proteins. J. Biol. Chem. 1982, 257, 6306–6310. [Google Scholar]
  91. Berkowitz, S.A.; Wolff, J. Intrinsic calcium sensitivity of tubulin polymerization. The contributions of temperature, tubulin concentration, and associated proteins. J. Biol. Chem. 1981, 256, 11216–11223. [Google Scholar] [PubMed]
  92. Peretti, M.; Badaoui, M.; Girault, A.; Van Gulick, L.; Mabille, M.P.; Tebbakha, R.; Sevestre, H.; Morjani, H.; Ouadid-Ahidouch, H. Original association of ion transporters mediates the ECM-induced breast cancer cell survival: Kv10.1-Orai1-SPCA2 partnership. Sci. Rep. 2019, 9, 1175. [Google Scholar] [CrossRef]
  93. Sadaghiani, A.M.; Lee, S.M.; Odegaard, J.I.; Leveson-Gower, D.B.; McPherson, O.M.; Novick, P.; Kim, M.R.; Koehler, A.N.; Negrin, R.; Dolmetsch, R.E.; et al. Identification of Orai1 channel inhibitors by using minimal functional domains to screen small molecule microarrays. Chem. Biol. 2014, 21, 1278–1292. [Google Scholar] [CrossRef] [PubMed]
  94. Samanta, K.; Parekh, A.B. Spatial Ca2+ profiling: Decrypting the universal cytosolic Ca2+ oscillation. J. Physiol. 2017, 595, 3053–3062. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Weiss, W.A.; Taylor, S.S.; Shokat, K.M. Recognizing and exploiting differences between RNAi and small-molecule inhibitors. Nat. Chem. Biol. 2007, 3, 739–744. [Google Scholar] [CrossRef]
  96. Downie, B.R.; Sanchez, A.; Knotgen, H.; Contreras-Jurado, C.; Gymnopoulos, M.; Weber, C.; Stuhmer, W.; Pardo, L.A. Eag1 expression interferes with hypoxia homeostasis and induces angiogenesis in tumors. J. Biol. Chem. 2008, 283, 36234–36240. [Google Scholar] [CrossRef] [Green Version]
  97. Ramos Gomes, F.; Romaniello, V.; Sanchez, A.; Weber, C.; Narayanan, P.; Psol, M.; Pardo, L.A. Alternatively Spliced Isoforms of KV10.1 Potassium Channels Modulate Channel Properties and Can Activate Cyclin-dependent Kinase in Xenopus Oocytes. J. Biol. Chem. 2015, 290, 30351–30365. [Google Scholar] [CrossRef] [Green Version]
  98. Smyth, J.T.; Putney, J.W. Regulation of store-operated calcium entry during cell division. Biochem. Soc. Trans. 2012, 40, 119–123. [Google Scholar] [CrossRef]
  99. Smaardijk, S.; Chen, J.; Wuytack, F.; Vangheluwe, P. SPCA2 couples Ca2+ influx via Orai1 to Ca2+ uptake into the Golgi/secretory pathway. Tissue Cell 2017, 49, 141–149. [Google Scholar] [CrossRef]
  100. Cross, B.M.; Hack, A.; Reinhardt, T.A.; Rao, R. SPCA2 regulates Orai1 trafficking and store independent Ca2+ entry in a model of lactation. PLoS ONE 2013, 8, e67348. [Google Scholar] [CrossRef] [PubMed]
  101. Feng, M.; Grice, D.M.; Faddy, H.M.; Nguyen, N.; Leitch, S.; Wang, Y.; Muend, S.; Kenny, P.A.; Sukumar, S.; Roberts-Thomson, S.J.; et al. Store-independent activation of Orai1 by SPCA2 in mammary tumors. Cell 2010, 143, 84–98. [Google Scholar] [CrossRef] [Green Version]
  102. Stansfeld, C.E.; Roper, J.; Ludwig, J.; Weseloh, R.M.; Marsh, S.J.; Brown, D.A.; Pongs, O. Elevation of intracellular calcium by muscarinic receptor activation induces a block of voltage-activated rat ether-a-go-go channels in a stably transfected cell line. Proc. Natl. Acad. Sci. USA 1996, 93, 9910–9914. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Schonherr, R.; Lober, K.; Heinemann, S.H. Inhibition of human ether a go-go potassium channels by Ca(2+)/calmodulin. EMBO J. 2000, 19, 3263–3271. [Google Scholar] [CrossRef] [PubMed]
  104. Merriam, E.B.; Millette, M.; Lumbard, D.C.; Saengsawang, W.; Fothergill, T.; Hu, X.; Ferhat, L.; Dent, E.W. Synaptic regulation of microtubule dynamics in dendritic spines by calcium, F-actin, and drebrin. J. Neurosci. 2013, 33, 16471–16482. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Azqueta, A.; Collins, A.R. The Comet Assay: High Throughput Use of FPG. In Genotoxicity and DNA Repair; Humana Press: New York, NY, USA, 2014; pp. 199–217. [Google Scholar]
  106. Końca, K.; Lankoff, A.; Banasik, A.; Lisowska, H.; Kuszewski, T.; Góźdź, S.; Koza, Z.; Wojcik, A. A cross-platform public domain PC image-analysis program for the comet assay. Mutat. Res. Genet. Toxicol. Environ. Mutagen. 2003, 534, 15–20. [Google Scholar] [CrossRef]
  107. Collins, T.J. ImageJ for microscopy. Biotechniques 2007, 43, 25–30. [Google Scholar] [CrossRef] [PubMed]
  108. Rueden, C.T.; Schindelin, J.; Hiner, M.C.; DeZonia, B.E.; Walter, A.E.; Arena, E.T.; Eliceiri, K.W. ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinform. 2017, 18, 529. [Google Scholar] [CrossRef]
  109. Schneider, C.A.; Rasband, W.S.; Eliceiri, K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 2012, 9, 671–675. [Google Scholar] [CrossRef]
  110. Applegate, K.T.; Besson, S.; Matov, A.; Bagonis, M.H.; Jaqaman, K.; Danuser, G. plusTipTracker: Quantitative image analysis software for the measurement of microtubule dynamics. J. Struct. Biol. 2011, 176, 168–184. [Google Scholar] [CrossRef] [Green Version]
  111. Jaqaman, K.; Loerke, D.; Mettlen, M.; Kuwata, H.; Grinstein, S.; Schmid, S.L.; Danuser, G. Robust single-particle tracking in live-cell time-lapse sequences. Nat. Methods 2008, 5, 695–702. [Google Scholar] [CrossRef] [Green Version]
  112. Matov, A.; Applegate, K.; Kumar, P.; Thoma, C.; Krek, W.; Danuser, G.; Wittmann, T. Analysis of microtubule dynamic instability using a plus-end growth marker. Nat. Methods 2010, 7, 761–768. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Gee, K.R.; Brown, K.A.; Chen, W.N.; Bishop-Stewart, J.; Gray, D.; Johnson, I. Chemical and physiological characterization of fluo-4 Ca2+-indicator dyes. Cell Calcium 2000, 27, 97–106. [Google Scholar] [CrossRef] [PubMed]
  114. Schatten, H.; Sun, Q.Y. Functions and dysfunctions of the mammalian centrosome in health, disorders, disease, and aging. Histochem. Cell Biol. 2018, 150, 303–325. [Google Scholar] [CrossRef]
  115. Dai, G.; Qian, Y.; Chen, J.; Meng, F.L.; Pan, F.Y.; Shen, W.G.; Zhang, S.Z.; Xue, B.; Li, C.J. Calmodulin activation of polo-like kinase 1 is required during mitotic entry. Biochem. Cell Biol. 2013, 91, 287–294. [Google Scholar] [CrossRef]
  116. Plotnikova, O.V.; Pugacheva, E.N.; Dunbrack, R.L.; Golemis, E.A. Rapid calcium-dependent activation of Aurora-A kinase. Nat. Commun. 2010, 1, 64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Macůrek, L.; Lindqvist, A.; Lim, D.; Lampson, M.A.; Klompmaker, R.; Freire, R.; Clouin, C.; Taylor, S.S.; Yaffe, M.B.; Medema, R.H. Polo-like kinase-1 is activated by aurora A to promote checkpoint recovery. Nature 2008, 455, 119–123. [Google Scholar] [CrossRef]
  118. Parrilla, A.; Cirillo, L.; Thomas, Y.; Gotta, M.; Pintard, L.; Santamaria, A. Mitotic entry: The interplay between Cdk1, Plk1 and Bora. Cell Cycle 2016, 15, 3177–3182. [Google Scholar] [CrossRef] [Green Version]
  119. Thomas, Y.; Cirillo, L.; Panbianco, C.; Martino, L.; Tavernier, N.; Schwager, F.; Van Hove, L.; Joly, N.; Santamaria, A.; Pintard, L.; et al. Cdk1 Phosphorylates SPAT-1/Bora to Promote Plk1 Activation in C. elegans and Human Cells. Cell Rep. 2016, 15, 510–518. [Google Scholar] [CrossRef] [Green Version]
  120. Van Horn, R.D.; Chu, S.; Fan, L.; Yin, T.; Du, J.; Beckmann, R.; Mader, M.; Zhu, G.; Toth, J.; Blanchard, K.; et al. Cdk1 activity is required for mitotic activation of aurora A during G2/M transition of human cells. J. Biol. Chem. 2010, 285, 21849–21857. [Google Scholar] [CrossRef] [Green Version]
  121. Vigneron, S.; Sundermann, L.; Labbe, J.C.; Pintard, L.; Radulescu, O.; Castro, A.; Lorca, T. Cyclin A-cdk1-Dependent Phosphorylation of Bora Is the Triggering Factor Promoting Mitotic Entry. Dev. Cell 2018, 45, 637–650.e7. [Google Scholar] [CrossRef]
  122. Colicino, E.G.; Hehnly, H. Regulating a key mitotic regulator, polo-like kinase 1 (PLK1). Cytoskeleton 2018, 75, 481–494. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  123. Carmena, M.; Ruchaud, S.; Earnshaw, W.C. Making the Auroras glow: Regulation of Aurora A and B kinase function by interacting proteins. Curr. Opin. Cell Biol. 2009, 21, 796–805. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Serpico, A.F.; Grieco, D. Recent advances in understanding the role of Cdk1 in the Spindle Assembly Checkpoint. F1000Research 2020, 9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Kv10.1 downregulation activates the DNA damage-induced checkpoint in the absence of DNA damage in HeLa cells. (AC) Hela cells were transiently transfected with either Scr- or KCNH1- siRNA, synchronized with double thymidine block at the G1/S border, and subsequently released from the block. Samples were collected at the indicated time-points after release from the block. Representative immunoblots and the results of densitometry analysis are plotted. The time interval corresponding to Kv10.1 expression is indicated in pink (n = 3 independent experiments; mean ± SEM; two-way ANOVA, repeated measures, Bonferroni post hoc test; the exact p-values indicate the significance of the global difference between the groups, and the p-value between single time points is indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001). (DH) HeLa and hTERT RPE1 cells were transiently transfected with either Scr- or KCNH1-siRNA, allowed to reach 70% confluency, harvested, and immediately used for single-cell gel electrophoresis (comet assay). (D) Representative images of the DNA comets stained with SYBR-Gold are given (max intensity projection, z-step, 0.2 µm, scale bar, 200 µm). (EH) The comets were analyzed with the CASPLab software and Head DNA % and Olive Tail Moment are plotted in (E,F) for HeLa cells, and in (G,H) for hTERT RPE1 cells (n = 5 independent experiments with >750 comets per condition; Kruskal–Wallis test with Dunn’s post hoc test, min to max range with the median indicated as a line are shown, with p-values indicated for each pair). (Kv10.1—potassium voltage-gated channel subfamily H member 1; KCNH1—potassium voltage-gated channel subfamily H member 1 gene; Scr—scrambled; p—phosphorylated; ATR—ATM and Rad3 related kinase; CHK—checkpoint kinase; HeLa—Henrietta Lacks; hTERT RPE1—human telomerase reverse transcriptase immortalized retinal pigmented epithelial).
Figure 1. Kv10.1 downregulation activates the DNA damage-induced checkpoint in the absence of DNA damage in HeLa cells. (AC) Hela cells were transiently transfected with either Scr- or KCNH1- siRNA, synchronized with double thymidine block at the G1/S border, and subsequently released from the block. Samples were collected at the indicated time-points after release from the block. Representative immunoblots and the results of densitometry analysis are plotted. The time interval corresponding to Kv10.1 expression is indicated in pink (n = 3 independent experiments; mean ± SEM; two-way ANOVA, repeated measures, Bonferroni post hoc test; the exact p-values indicate the significance of the global difference between the groups, and the p-value between single time points is indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001). (DH) HeLa and hTERT RPE1 cells were transiently transfected with either Scr- or KCNH1-siRNA, allowed to reach 70% confluency, harvested, and immediately used for single-cell gel electrophoresis (comet assay). (D) Representative images of the DNA comets stained with SYBR-Gold are given (max intensity projection, z-step, 0.2 µm, scale bar, 200 µm). (EH) The comets were analyzed with the CASPLab software and Head DNA % and Olive Tail Moment are plotted in (E,F) for HeLa cells, and in (G,H) for hTERT RPE1 cells (n = 5 independent experiments with >750 comets per condition; Kruskal–Wallis test with Dunn’s post hoc test, min to max range with the median indicated as a line are shown, with p-values indicated for each pair). (Kv10.1—potassium voltage-gated channel subfamily H member 1; KCNH1—potassium voltage-gated channel subfamily H member 1 gene; Scr—scrambled; p—phosphorylated; ATR—ATM and Rad3 related kinase; CHK—checkpoint kinase; HeLa—Henrietta Lacks; hTERT RPE1—human telomerase reverse transcriptase immortalized retinal pigmented epithelial).
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Figure 2. Activation of SAC in Kv10.1-depleted HeLa cells decreases the occurrence of lagging chromosomes. HeLa cells were transiently transfected with either Scr- or KCNH1-siRNA and synchronized with double thymidine block at the G1/S border (AI) or with consecutive thymidine and nocodazole treatments at metaphase and anaphase (JM). (AG) Samples were collected at the indicated time-points after cell cycle re-initiation and immunoblotted. Representative immunoblots and densitometry analysis results are given. The time interval corresponding to Kv10.1 expression is highlighted in pink (n = 3 independent synchronization experiments; mean ± SEM, two-way ANOVA, repeated measures, Bonferroni post hoc test, the given p-value shows the significance of the global difference between the two groups. (H,I) PLK1 enzymatic activity was measured in whole-cell lysates from HeLa (left grey panel) and hTERT RPE1 (right blue panel) cells synchronized at G2/M (H) and G1/S (I) (n = 4 independent synchronization experiments; two-way ANOVA, repeated measures, mean ± SEM is shown). (JM) The mitotic spindles in synchronized HeLa cells were visualized with α-tubulin (green), and the chromosomes—with CENP-B (kinetochores, red) and Hoechst 33342 (DNA, blue) (scale bars represent, 10 µm and apply for all panels). (J) Metaphase is considered defective when chromosomes (overlap of CENP-B and Hoechst stains) are not properly aligned (indicated with arrows) or damaged DNA (only Hoechst positive) is present. Example images of normal and defective metaphases are shown. (K) The percentage of defective metaphases from the total number of metaphases is plotted (600 metaphases per experiment, n = 4 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (L) Lagging chromosomes in anaphase are detected as CENP-B- and Hoechst-positive signal located in the middle part of the spindle (indicated with arrows). (M) The percentage of anaphases with lagging chromosomes from the total number of anaphases is plotted (400 anaphases per experiment, n = 4 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (SAC—spindle assembly checkpoint; CDC—cell division cycle protein; MAD2—mitotic arrest deficient 2; pVHL—von Hippel-Lindau protein; AURKB—Aurora kinase B; PLK1—Polo-like kinase 1; CENP-B—centromere protein B).
Figure 2. Activation of SAC in Kv10.1-depleted HeLa cells decreases the occurrence of lagging chromosomes. HeLa cells were transiently transfected with either Scr- or KCNH1-siRNA and synchronized with double thymidine block at the G1/S border (AI) or with consecutive thymidine and nocodazole treatments at metaphase and anaphase (JM). (AG) Samples were collected at the indicated time-points after cell cycle re-initiation and immunoblotted. Representative immunoblots and densitometry analysis results are given. The time interval corresponding to Kv10.1 expression is highlighted in pink (n = 3 independent synchronization experiments; mean ± SEM, two-way ANOVA, repeated measures, Bonferroni post hoc test, the given p-value shows the significance of the global difference between the two groups. (H,I) PLK1 enzymatic activity was measured in whole-cell lysates from HeLa (left grey panel) and hTERT RPE1 (right blue panel) cells synchronized at G2/M (H) and G1/S (I) (n = 4 independent synchronization experiments; two-way ANOVA, repeated measures, mean ± SEM is shown). (JM) The mitotic spindles in synchronized HeLa cells were visualized with α-tubulin (green), and the chromosomes—with CENP-B (kinetochores, red) and Hoechst 33342 (DNA, blue) (scale bars represent, 10 µm and apply for all panels). (J) Metaphase is considered defective when chromosomes (overlap of CENP-B and Hoechst stains) are not properly aligned (indicated with arrows) or damaged DNA (only Hoechst positive) is present. Example images of normal and defective metaphases are shown. (K) The percentage of defective metaphases from the total number of metaphases is plotted (600 metaphases per experiment, n = 4 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (L) Lagging chromosomes in anaphase are detected as CENP-B- and Hoechst-positive signal located in the middle part of the spindle (indicated with arrows). (M) The percentage of anaphases with lagging chromosomes from the total number of anaphases is plotted (400 anaphases per experiment, n = 4 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (SAC—spindle assembly checkpoint; CDC—cell division cycle protein; MAD2—mitotic arrest deficient 2; pVHL—von Hippel-Lindau protein; AURKB—Aurora kinase B; PLK1—Polo-like kinase 1; CENP-B—centromere protein B).
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Figure 3. Tilted mitotic spindles and increased microtubule plus-end growth rates are observed in Kv10.1-deficient HeLa cells. (AC) Hela cells were transiently transfected with either Scr- or KCNH1-siRNA and synchronized at the metaphase with consecutive thymidine and nocodazole treatments. (A) Maximal intensity projections of z-stacks (0.2 µm step size) of cells in metaphase are represented (scale bar, 50 µm) where the mitotic spindle is in green (α-tubulin), centrosomes—in red (γ-tubulin), and DNA—in blue (Hoechst 33342). The mitotic spindle angle was defined using the Imaris software as shown in the zoomed-in inset and schematically explained in (B). (C) The results of the mitotic spindle angle measurement are plotted (>50 events per experiment, n = 5 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (DE) HeLa cells were transfected with respective siRNAs, grown until 70% confluency, treated with 2.5 µM DME for 4 h. The monopolar spindles were visualized with α-tubulin staining (green), and chromosomes with CENP-B (kinetochores, red) and DNA (Hoechst 33342, blue). (D) Example images of monopolar spindles are presented. (E) The percentage of asymmetric monopolar spindles is plotted (1500 monopolar spindles per condition per experiment, n = 3 independent synchronization experiments; Mann–Whitney U-test; min to max range with the median indicated as a line are shown). (FI; Videos S1–S4) HeLa cells were transiently co-transfected with pEB3-tdTomato and the indicated siRNAs (panel in light blue) or plasmid DNAs (panel in light green); 48 h later treated with 2.5 µM DME for 4 h. Microtubule growth was tracked in a series of images taken every 500 ms for 1 min. (F) Maximal intensity projections of time-lapse images over the recorded time are shown (“Red Fire” LUT is applied, scale bar, 10 µm). (GI) Parameters calculated by the U-Track software are plotted (>25 cells per condition per experiment, n = 3 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (DME—dimethylenastron; LUT—look-up table; pEB3-tdTomato—a plasmid expressing end-binding protein 3 tandem dimer tomato fluorescent protein).
Figure 3. Tilted mitotic spindles and increased microtubule plus-end growth rates are observed in Kv10.1-deficient HeLa cells. (AC) Hela cells were transiently transfected with either Scr- or KCNH1-siRNA and synchronized at the metaphase with consecutive thymidine and nocodazole treatments. (A) Maximal intensity projections of z-stacks (0.2 µm step size) of cells in metaphase are represented (scale bar, 50 µm) where the mitotic spindle is in green (α-tubulin), centrosomes—in red (γ-tubulin), and DNA—in blue (Hoechst 33342). The mitotic spindle angle was defined using the Imaris software as shown in the zoomed-in inset and schematically explained in (B). (C) The results of the mitotic spindle angle measurement are plotted (>50 events per experiment, n = 5 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (DE) HeLa cells were transfected with respective siRNAs, grown until 70% confluency, treated with 2.5 µM DME for 4 h. The monopolar spindles were visualized with α-tubulin staining (green), and chromosomes with CENP-B (kinetochores, red) and DNA (Hoechst 33342, blue). (D) Example images of monopolar spindles are presented. (E) The percentage of asymmetric monopolar spindles is plotted (1500 monopolar spindles per condition per experiment, n = 3 independent synchronization experiments; Mann–Whitney U-test; min to max range with the median indicated as a line are shown). (FI; Videos S1–S4) HeLa cells were transiently co-transfected with pEB3-tdTomato and the indicated siRNAs (panel in light blue) or plasmid DNAs (panel in light green); 48 h later treated with 2.5 µM DME for 4 h. Microtubule growth was tracked in a series of images taken every 500 ms for 1 min. (F) Maximal intensity projections of time-lapse images over the recorded time are shown (“Red Fire” LUT is applied, scale bar, 10 µm). (GI) Parameters calculated by the U-Track software are plotted (>25 cells per condition per experiment, n = 3 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (DME—dimethylenastron; LUT—look-up table; pEB3-tdTomato—a plasmid expressing end-binding protein 3 tandem dimer tomato fluorescent protein).
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Figure 4. A block of either Kv10.1 or ORAI1 currents reduces MT dynamics in HeLa cells. (A) Example images of Kv10.1 and ORAI1 proximity ligation assay (red foci) in asynchronous HeLa cells (scale bar, 50 µm) and a mitotic cell (zoomed-in inset: scale bar, 10 µm; nuclei—blue) are given. (BE; Videos S5–S10) HeLa cells, transiently expressing pEB3-tdTomato were treated as follows: left grey panel—4h with the ORAI1 blocker AnCoA4 (10 µM) or empty vehicle (DMSO); middle green panel—24 h with the Kv10.1 blocker mAb56 or control IgG κ2b (both 5 µg/µL); right purple panel—a combination of both treatments. In all cases, the last 4 h of the treatments, the cells were exposed to 2.5 µM DME. Microtubule growth was tracked in a series of images taken every 500 ms for 1 min. (B) Maximal intensity projections of time-lapse images over the recorded time are shown (LUT is applied, scale bar, 10 µm). (CE) Parameters of MT growth were defined with the U-Track software and plotted (>25 cells per condition per experiment, n = 3–5 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (MT—microtubule; ORAI1—calcium release-activated calcium channel protein 1; DMSO—dimethyl sulfoxide; IgG—immunoglobulin G; mAb—monoclonal antibody).
Figure 4. A block of either Kv10.1 or ORAI1 currents reduces MT dynamics in HeLa cells. (A) Example images of Kv10.1 and ORAI1 proximity ligation assay (red foci) in asynchronous HeLa cells (scale bar, 50 µm) and a mitotic cell (zoomed-in inset: scale bar, 10 µm; nuclei—blue) are given. (BE; Videos S5–S10) HeLa cells, transiently expressing pEB3-tdTomato were treated as follows: left grey panel—4h with the ORAI1 blocker AnCoA4 (10 µM) or empty vehicle (DMSO); middle green panel—24 h with the Kv10.1 blocker mAb56 or control IgG κ2b (both 5 µg/µL); right purple panel—a combination of both treatments. In all cases, the last 4 h of the treatments, the cells were exposed to 2.5 µM DME. Microtubule growth was tracked in a series of images taken every 500 ms for 1 min. (B) Maximal intensity projections of time-lapse images over the recorded time are shown (LUT is applied, scale bar, 10 µm). (CE) Parameters of MT growth were defined with the U-Track software and plotted (>25 cells per condition per experiment, n = 3–5 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (MT—microtubule; ORAI1—calcium release-activated calcium channel protein 1; DMSO—dimethyl sulfoxide; IgG—immunoglobulin G; mAb—monoclonal antibody).
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Figure 5. Kv10.1 regulates the intracellular [Ca2+] oscillations in HeLa cells during the G2/M phase. (Videos S11–S16) Ca2+ imaging was performed at 7.5 h after initiation of the cell cycle from the G1/S border using HeLa cells preloaded with Fluo-4AM. Time-lapse images were taken every 5 s over 120 min, and changes in the intensity of Fluo-4 were recorded. (A) Maxima projection images of time-lapse series are shown (LUT is applied, scale bar, 100 µm). (B) The measured intensity was normalized for photobleaching, and the changes in Fluo-4 intensity relative to the corresponding time 0 are plotted over time. An example of such a normalized spectrum from one cell per condition is displayed. (C) An example of a normalized spectrum with identified local maxima (peaks, marked with triangles) from one cell is displayed where each identified peak is characterized by its height (prominence, shown in purple) and the full width at half maximum (shown in orange). (DF) The total area under the recorded spectrum (D), the median prominence (E), and the median width at half maximum (F) were analyzed (50 cells per condition per experiment; n = 3 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (GI) The changes in the intensity of Fluo-4 over time were converted into a frequency domain. (G) An example of a single-sided amplitude spectrum of relative changes of intracellular [Ca2+] defined by Fluo-4 from one cell per condition recording is shown. The frequencies were arranged in descending order according to the relative power, and the first 15 frequencies were selected for further analysis. (H) Distribution of the selected frequencies is given. (I) The average frequency was defined as an average of the product of the frequencies and the respective relative power (50 cells per condition per experiment; n = 3 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown).
Figure 5. Kv10.1 regulates the intracellular [Ca2+] oscillations in HeLa cells during the G2/M phase. (Videos S11–S16) Ca2+ imaging was performed at 7.5 h after initiation of the cell cycle from the G1/S border using HeLa cells preloaded with Fluo-4AM. Time-lapse images were taken every 5 s over 120 min, and changes in the intensity of Fluo-4 were recorded. (A) Maxima projection images of time-lapse series are shown (LUT is applied, scale bar, 100 µm). (B) The measured intensity was normalized for photobleaching, and the changes in Fluo-4 intensity relative to the corresponding time 0 are plotted over time. An example of such a normalized spectrum from one cell per condition is displayed. (C) An example of a normalized spectrum with identified local maxima (peaks, marked with triangles) from one cell is displayed where each identified peak is characterized by its height (prominence, shown in purple) and the full width at half maximum (shown in orange). (DF) The total area under the recorded spectrum (D), the median prominence (E), and the median width at half maximum (F) were analyzed (50 cells per condition per experiment; n = 3 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown). (GI) The changes in the intensity of Fluo-4 over time were converted into a frequency domain. (G) An example of a single-sided amplitude spectrum of relative changes of intracellular [Ca2+] defined by Fluo-4 from one cell per condition recording is shown. The frequencies were arranged in descending order according to the relative power, and the first 15 frequencies were selected for further analysis. (H) Distribution of the selected frequencies is given. (I) The average frequency was defined as an average of the product of the frequencies and the respective relative power (50 cells per condition per experiment; n = 3 independent synchronization experiments; Mann–Whitney U-test, min to max range with the median indicated as a line are shown).
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Figure 6. Working model of Kv10.1 action during the G2/M phase. Kv10.1 functionally interacts with ORAI1 creating a self-limiting circuit of Ca2+ entry (upper panel). Together, these two channels control the oscillations of cytosolic Ca2+: inhibition of any of the channels alters calcium entry (middle panel: simulation of calcium oscillations based on the empirically defined frequency values). Some proteins sense such oscillatory changes in cytosolic Ca2+. AURKA and PLK1 hold a high potential for such sensory proteins: both kinases are activated upon binding of Ca2+/CaM. Additionally, Kv10.1 split variant E65 directly activates CDK1 (low-left panel). As a result of the described changes, the MT assembly rate is modulated. Therefore, Kv10.1, through its canonic ion-channel function and protein-protein interactions, regulates the proper entry and progression through M phase (low-right panel). (K+—potassium ions; Ca2+—calcium ions; CaM—calmodulin; E65—split-form of Kv10.1; CDK1—cyclin-dependent kinase 1; PLK1—Polo-like kinase 1; AURKA—Aurora kinase A; MAPs—microtubule-associated proteins).
Figure 6. Working model of Kv10.1 action during the G2/M phase. Kv10.1 functionally interacts with ORAI1 creating a self-limiting circuit of Ca2+ entry (upper panel). Together, these two channels control the oscillations of cytosolic Ca2+: inhibition of any of the channels alters calcium entry (middle panel: simulation of calcium oscillations based on the empirically defined frequency values). Some proteins sense such oscillatory changes in cytosolic Ca2+. AURKA and PLK1 hold a high potential for such sensory proteins: both kinases are activated upon binding of Ca2+/CaM. Additionally, Kv10.1 split variant E65 directly activates CDK1 (low-left panel). As a result of the described changes, the MT assembly rate is modulated. Therefore, Kv10.1, through its canonic ion-channel function and protein-protein interactions, regulates the proper entry and progression through M phase (low-right panel). (K+—potassium ions; Ca2+—calcium ions; CaM—calmodulin; E65—split-form of Kv10.1; CDK1—cyclin-dependent kinase 1; PLK1—Polo-like kinase 1; AURKA—Aurora kinase A; MAPs—microtubule-associated proteins).
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Table 1. Changes in the expression level of spindle assembly checkpoint (SAC) and DNA damage response (DDR) proteins upon Kv10.1 downregulation in synchronized HeLa cells.
Table 1. Changes in the expression level of spindle assembly checkpoint (SAC) and DNA damage response (DDR) proteins upon Kv10.1 downregulation in synchronized HeLa cells.
NameCheckpointEffect
p-ATR (Ser428)DDRIncreased
p-CHK1 (Ser345)DDRIncreased
CHK2DDRIncreased
pVHLSACIncreased
AURKBSACDecreased
PLK1SACDecreased
MAD2SACIncreased
CDC20SAC (APC/C)Increased
WEE1SAC (APC/C)Increased
CDC27APC/CDecreased
Table 2. List of primary and secondary antibodies used for immunoblotting.
Table 2. List of primary and secondary antibodies used for immunoblotting.
AntibodySourceDilutionCat. NumberManufacturer
p-ATR (Ser428)Rb/pcl1:10002853Cell Signaling
p-BRCA1 (Ser1524)Rb/pcl1:10009009Cell Signaling
p-CHK1 (Ser345) (133D3)Rb/mcl1:10002348Cell Signaling
CHK1 (FL-476)Rb/pcl1:1000sc-7898Santa Cruz Biotechnology
p-CHK2 (Thr68)(C13C1)Rb/mcl1:10002197Cell Signaling
CHK2 (DCS-270)Ms/mcl1:1000sc-56296Santa Cruz Biotechnology
p21 Waf1/Cip1Ms/mcl1:100005-345Merck Millipore
p-histone H2AX (Ser139)Rb/mcl1:1000sc-101696Cell Signaling
CDC27 (AF3.1)Ms/mcl1:1000sc-9972Santa Cruz Biotechnology
CDC20Rb/pcl1:1000ab26483Abcam
AURKB/AIM1Rb/pcl1:10003094Cell Signaling
PLK1Ms/mcl1:500sc-17783Santa Cruz Biotechnology
WEE1MS/mcl1:500sc-5285Santa Cruz Biotechnology
BUB3Ms/mcl1:1000sc-376506Santa Cruz Biotechnology
MAD2L1 (D8A7)Rb/mcl1:10004636Cell Signaling
pVHLMs/mcl1:200556347BD Pharmingen
Actin (C-11)G/pcl1:1000sc-1615Santa Cruz Biotechnology
Kv10.1Rb/pcl1:15009391
Normal Mouse IgGMsIsotype controlsc-2025Santa Cruz Biotechnology
Normal Rabbit IgGRbIsotype controlsc-3888Santa Cruz Biotechnology
ECL Anti-Rabbit IgG, HRP LinkedD/pcl1:10,000NA934GE Healthcare
ECL Anti-Mouse IgG, HRP LinkedSh/pcl1:10,000NA931GE Healthcare
Anti-Goat IgG (H + L)-HRP ConjugateRb/pcl1:10,000172-1034BIO-RAD
MS—mouse; Rb—rabbit; G—goat; Sh—sheep; mcl—monoclonal; pcl—polyclonal.
Table 3. List of primary and secondary antibodies used for immunofluorescence.
Table 3. List of primary and secondary antibodies used for immunofluorescence.
AntibodySourceDilutionCat. NumberManufacturer
α-TubulinG/pcl1:350sc-7396Santa Cruz Biotechnology
γ-TubulinMs/mcl1:700sc-23948Santa Cruz Biotechnology
CENP-B (H-65)Rb/pcl1:350sc-22788Santa Cruz Biotechnology
Alexa Fluor 488 anti-mouse IgG (H + L)D/pcl1:1000A-21202Invitrogen
Alexa Fluor 546 anti-rabbit IgG (H + L)D/pcl1:1000A-11056Invitrogen
MS—mouse; Rb—rabbit; G—goat; D—donkey; mcl—monoclonal; pcl—polyclonal.

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Movsisyan, N.; Pardo, L.A. Kv10.1 Regulates Microtubule Dynamics during Mitosis. Cancers 2020, 12, 2409. https://doi.org/10.3390/cancers12092409

AMA Style

Movsisyan N, Pardo LA. Kv10.1 Regulates Microtubule Dynamics during Mitosis. Cancers. 2020; 12(9):2409. https://doi.org/10.3390/cancers12092409

Chicago/Turabian Style

Movsisyan, Naira, and Luis A. Pardo. 2020. "Kv10.1 Regulates Microtubule Dynamics during Mitosis" Cancers 12, no. 9: 2409. https://doi.org/10.3390/cancers12092409

APA Style

Movsisyan, N., & Pardo, L. A. (2020). Kv10.1 Regulates Microtubule Dynamics during Mitosis. Cancers, 12(9), 2409. https://doi.org/10.3390/cancers12092409

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