Next Article in Journal
Circulating Citrate Is Associated with Liver Fibrosis in Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis
Next Article in Special Issue
CRISPR-Cas9 Direct Fusions for Improved Genome Editing via Enhanced Homologous Recombination
Previous Article in Journal
Investigating the Regulatory Mechanism of the Sesquiterpenol Nerolidol from a Plant on Juvenile Hormone-Related Genes in the Insect Spodoptera exigua
Previous Article in Special Issue
Deep Characterization and Comparison of Different Retrovirus-like Particles Preloaded with CRISPR/Cas9 RNPs
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Brief Report

CRISPR-Cas9-Mediated Cytosine Base Editing Screen for the Functional Assessment of CALR Intron Variants in Japanese Encephalitis Virus Replication

1
Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China
2
The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan 430070, China
3
Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan 430070, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(17), 13331; https://doi.org/10.3390/ijms241713331
Submission received: 27 June 2023 / Revised: 12 August 2023 / Accepted: 25 August 2023 / Published: 28 August 2023

Abstract

:
The Japanese encephalitis virus (JEV) is a mosquito-borne flavivirus that causes viral encephalitis in humans, pigs and other mammals across Asia and the Western Pacific. Genetic screening tools such as CRISPR screening, DNA sequencing and RNA interference have greatly improved our understanding of JEV replication and its potential antiviral approaches. However, information on exon and intron mutations associated with JEV replication is still scanty. CRISPR-Cas9-mediated cytosine base editing can efficiently generate C: G-to-T: A conversion in the genome of living cells. One intriguing application of base editing is to screen pivotal variants for gene function that is yet to be achieved in pigs. Here, we illustrate that CRISPR-Cas9-mediated cytosine base editor, known as AncBE4max, can be used for the functional analysis of calreticulin (CALR) variants. We conducted a CRISPR-Cas9-mediated cytosine base editing screen using 457 single guide RNAs (sgRNAs) against all exons and introns of CALR to identify loss-of-function variants involved in JEV replication. We unexpectedly uncovered that two enriched sgRNAs targeted the same site in intron-2 of the CALR gene. We found that mutating four consecutive G bases in the intron-2 of the CALR gene to four A bases significantly inhibited JEV replication. Thus, we established a CRISPR-Cas9-mediated cytosine-base-editing point mutation screening technique in pigs. Our results suggest that CRISPR-mediated base editing is a powerful tool for identifying the antiviral functions of variants in the coding and noncoding regions of the CALR gene.

1. Introduction

Japanese encephalitis virus (JEV) is a mosquito-transmitted virus that can infect humans and livestock, and thus JEV poses a threat to human public health and livestock growth and development [1,2]. JEV has spread across vast geographical areas such as India, China, and almost all of Southeast Asia, with approximately 50,000 cases of JEV infection reported worldwide each year and about 20% of cases resulting in death [3]. In addition, JEV can rapidly proliferate in pigs, thus leading to high levels of viremia [4].
Genetic screening tools such as CRISPR screening, DNA sequencing, RNA interference (RNAi) screening and microarrays have greatly improved our understanding of JEV replication and its potential antiviral approaches [5]. In vitro-directed evolution of candidate protein is a highly effective and vastly functional framework for altering the activities of individual genes and gene products using tools such as error-prone PCR and DNA editors to generate mutations and direct protein evolution [6,7,8]. However, these tools are inefficient, hence the need for carefully developed methods to screen and select functional variants in manners that maintain the genotype–phenotype association [9]. Cytosine base editing (CBE) typically enables the insertion of specific point mutations generating C:G-to-T:A conversion on the target DNA without inducing double-strand breaks (DSBs) [10]. CRISPR-mediated cytosine base editing (CBE) methods are commonly used in the biological and agricultural fields primarily for saturation screening of amino acids [10,11,12]. A promising application of base editing is the in vivo screening for mutations crucial in protein function where critical amino acids closely related to the phenotype are identifiable through base-editing saturation screening [13,14]. It is possible to adopt current base-editor methods to screen for the functional mutations in the non-coding gene regions, such as introns, enhancers and promoters that may have significant roles in the physiological processes [15].
The calreticulin (CALR) gene is an essential host factor for JEV replication in pigs, but the gene’s homozygous knockout will cause embryo death, limiting its in depth application [5,16,17]. To overcome this obstacle, we hypothesized that introducing mutations in this gene might allow cells to inhibit JEV replication without affecting the expression of the CALR protein. Mutations within the exons or introns of the CALR gene can inhibit JEV, which is of great significance in further revealing the mechanisms of JEV replication. Here, we identified the CALR mutations critical for JEV replication in porcine kidney-15 (PK-15) cells by employing CRISPR-based cytosine base editing screening and an optimized sgRNA library covering all exons and introns of the CALR gene. Our optimization strategy of the sgRNA library provides an alternative method for the in vitro screening of more functional mutations. Our CRISPR-based cytosine-base-editing screening resources are valuable for mutation generation and directed evolution in structural and functional genomics studies.

2. Materials and Methods

2.1. Plasmids

The plasmids PB-EF1ɑ-ancBE4max-pGK-puro, piggyBac transposase and Lenti-sgRNA-EGFP were provided in kind by Professor Xingxu Huang at Shanghai Technology University. The PB-EF1ɑ-ancBE4max-pGK-puro and piggyBac transposase plasmids were used to generate the AncBE4max-expression cell line (PK15-BE4). The lentiviral sgRNA vector was constructed by annealing the paired sgRNA oligonucleotides and cloning them into Lenti-sgRNA-EGFP linearized with BbsI (NEB, Ipswich, MA, USA).

2.2. Design and Construction of sgRNA Library

The sgRNAs covering all the exons and introns of the CALR gene were designed using the CRISPR-offinder software (https://sourceforge.net/projects/crispr-offinder-v1-2/ (accessed on 8 October 2019)) [18]. The designed sgRNA sequences are listed in Supplementary Table S5. Subsequently, the sgRNAs were synthesized (CustomArray Inc., Redmond, WA, USA) and amplified (20 PCR cycles) using Phusion high-fidelity PCR Master Mix (NEB, Ipswich, MA, USA) according to the manufacturer’s instructions. The PCR products were purified using the MinElute PCR purification Kit (QIAGEN, Dusseldorf, Germany) and ligated into the linearized Lenti-sgRNA-EGFP vector using Gibson assembly cloning kit (NEB, Ipswich, MA, USA). Trans1-T1 Phage Resistant chemically competent cells (TransGen Biotech, Beijing, China) were transformed using ligation products. The transformations were conducted in parallel to ensure sufficient coverage and enable the colony numbers to reach 200 times the total sgRNA number in the library. Afterwards, sgRNA library plasmids were extracted using a Plasmid Plus Maxi Kit (QIAGEN, Dusseldorf, Germany) and amplified using Phusion high-fidelity PCR Master Mix (NEB, Ipswich, MA, USA) with 20 cycles. The resultant PCR products were purified and analyzed by high-throughput sequencing. The PCR and sequencing primers used are listed in Supplementary Table S1.

2.3. Cell Culture and Transfection

PK-15, HEK293T and BHK-21 cell lines purchased from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China) were cultured in Hyclone Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10% fetal bovine serum (Hyclone, Logan, UT, USA) and 1% penicillin/streptomycin (Life Technology, Rockville, MD, USA) at 37 °C with 5% CO2. PK-15 cells were seeded into 6-well plates, cultured to 70–80% confluence and transfected with 2μg plasmid DNA using the JetPRIME transfection reagent (PolyPlus, Strasbourg, France).

2.4. Generation of BE4-Expression Cell Line

The PK-15 cells were cotransfected with PB-EF1ɑ-ancBE4max-pGK-puro and piggyBac Transposase vectors (at ratio = 2:1). At 48 h post-transfection, the culture medium was replaced with fresh media containing 2 μg/mL puromycin (InvivoGen, Toulouse, France). After enrichment for 2 days, antibiotic-resistant cells were collected and reseeded into 100 mm dishes at a density of 100 cells/dish to generate single-cell clones. After being cultured for 7–10 days, the cell clones were singly collected and examined by PCR. In addition, two sgRNAs were used to determine the activity of the selected cell line. The resulting cell line was designated as PK15-BE4.

2.5. Preparation and Transduction of sgRNA Library Lentivirus

The HEK293T cells were cultured and cotransfected with 12 μg library plasmid, 4 μg pMD2.G plasmid (Addgene, Cambridge, MA, USA) and 8 μg psPAX2 (Addgene, Cambridge, MA, USA) plasmid per 100 mm dish using JetPRIME for the preparation of lentivirus. At 60 h post-transfection, the supernatants were collected, filtered through a 0.45 μm low protein-binding membrane (Millipore, Darmstadt, Germany), and centrifuged at 153,700× g for 2.5 h at 4 °C. The obtained lentivirus pellets were resuspended in phosphate-buffered saline (PBS, pH = 7.4), aliquoted and stored at −80 °C. Target cells were transduced with the lentiviruses in the presence of 8 μg/mL polybrene (Sigma–Aldrich, St. Louis, MO, USA). At 24 h post-transduction, lentiviruses were removed, and the medium was replaced with a fresh one.

2.6. Mutant Cell Library Construction and Screening

Approximately 1 × 107 PK15-BE4 cells were seeded into T75 flasks and infected with the library lentiviruses at a multiplicity of infection (MOI) = 0.3. On the third day post-infection (3 dpi), GFP-positive cells were collected by fluorescence-activated sorting (FACS) on a BD-FACSAriaTM II platform. At day 6 postinfection, DNA from mutant cells was extracted and amplified to examine the coverage of the mutant cell library.
For the CRISPR base-editing screening, 3 × 106 mutant cells were infected with JEV-RP9 strain at an MOI of 1 in DMEM containing no FBS at 37 °C with 5% CO2. At 1.5 h postinfection (hpi), the inoculum was removed, and the medium was replaced with fresh DMEM supplemented with 2% FBS and 1% penicillin/streptomycin. On day 20 postinfection, the DNA of viable cells was extracted and amplified for subsequent deep sequencing.

2.7. Illumina Sequencing of sgRNAs from the Library and Enriched Mutants

The PCR products were purified with a MinElute PCR purification Kit (QIAGEN, Dusseldorf, Germany) and sequenced by Illumina HiSeq 3000 next-generation sequencing. Mapped reads were subjected to the MAGeCK analysis [19].

2.8. Mutation of Candidate Region in PK15 Cells by Base Editing

Individual sgRNAs targeting candidate mutation sites were cloned into the linearized Lenti-sgRNA-EGFP vector to produce the corresponding lentiviruses described in Section 2.5, followed by transduction into PK15-BE4 cells. The GFP-positive cells were enriched by FACS and seeded into 100 mm dishes to generate single clones. The genomic DNAs of single clones were extracted and sequenced. All primers used for identifying the genotype of cell clones are in Supplementary Table S1.

2.9. Off-Target Analysis of sgRNA

Potential sgRNA off-target sites (OTS) were predicted using the Cas-OFFinder software (http://www.rgenome.net/cas-offinder/ (accessed on 15 July 2021)) [20]. After PCR amplification of each potential OTS, Sanger sequencing was performed to determine whether any point mutation occurred.

2.10. Real-Time Reverse Transcription PCR (qRT-PCR)

Total RNA was extracted from cells using TransZol Up (TransGen Biotech, Beijing, China). The quality and quantities of the resultant RNAs were evaluated by gel electrophoresis and the NanoDrop ND2000TM spectrophotometer (ThermoFisher Scientific, Waltham, MA, USA), respectively. The cDNAs were synthesized using the PrimeScript™ RT reagent Kit with gDNA Eraser (TaKaRa, Otsu, Japan). Then, qRT-PCR was performed by RealUniversal SYBR Green Premix (TIANGEN, Beijing, China) following the manufacturer’s instructions.

2.11. Western Blot

The cells were collected and lysed in radioimmunoprecipitation assay (RIPA) buffer (Sigma-Aldrich, St. Louis, MO, USA) supplemented with 1% Phenylmethanesulfonyl fluoride (PMSF) (Sigma-Aldrich, St. Louis, MO, USA) and 1% sodium vanadate (Sigma-Aldrich, St. Louis, MO, USA), and proteins quantified with a BCA kit (Beyotime, Shanghai, China). After denaturation, the samples were separated by 12% sodium dodecyl-sulphate polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to the polyvinylidene difluoride membranes (Millipore, Darmstadt, Germany). The polyvinylidene difluoride membranes were blocked with 5% nonfat milk and incubated with antibodies diluted to the appropriate concentration. Next, the membranes were washed with tris-buffered saline with Tween® 20 (TBST) (Sigma-Aldrich, St. Louis, MO, USA) and incubated with H-conjugated antirabbit IgG diluted with 5% nonfat milk. Fluorescence images were captured using GelDoc XR (Bio-Rad, Hercules, CA, USA) and the ChemiDoc XR imaging system (Bio-Rad, Hercules, CA, USA).

2.12. Virus Plaque Assay

For the plaque assay, BHK-21 cells were cultured to 50% confluence in 6-well flat-bottomed cell culture plates and infected with the serially diluted virus for 2 h at 37 °C with 5% CO2. The inoculum was aspirated, and the cells overlaid with 50% low melt-point Agarose (ThermoFisher Scientific, Waltham, MA, USA) in 2 × DMEM supplemented with 2% FBS and 1% penicillin/streptomycin and cultured for 3 days at 37 °C with 5% CO2. Cells were fixed with 10% formaldehyde neutral solution overnight at room temperature, then stained with 0.5% crystal violet for 2 h. The plaque-forming units (PFUs) were determined by manual counting and expressed as means ± SD of 3 independent experiments.

2.13. Transmission Electron Microscopy

Approximately 1 × 106 of Mut-1 and WT PK15-BE4 cells were infected with JEV-RP9 (MOI = 1) for 24 h. The cells were washed twice with precooled PBS and fixed by adding 3 mL of fixative (Servicebio Technology, Wuhan, China) for 2 h at room temperature. After fixation, the cells were scraped, transferred into a 1.5 mL centrifuge tube, and centrifuged at 251.55× g for 5 min at 4 °C. The images were captured using negative-staining electron microscopy by Servicebio company.

2.14. CUT&Tag Analysis

CUT&Tag (H3K4me3 and H3K27ac) data were derived from our unpublished study. Adaptors and low-quality reads were removed by Trim Galore (v0.6.6). The processed reads were aligned to the Sscrofa11.1 pig reference genome using bowtie2 (v2.3.4.3) [21]. MACS2 (v2.2.4) was used to call narrow peaks for H3K4me3 and H3K27ac [22]. Bigwigs were generated using MACS2, BEDTools (v2.29.0) and bedGraphToBigWig and then visualized using Integrative Genomics Viewer (IGV) (v2.9.2) [23,24].

2.15. Statistical Analysis

Statistical analysis was performed using R package. The data were expressed as means ± SD. Two-tailed Student’s t-test was performed to determine significant differences between treatment and control groups (* p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001).

3. Results

3.1. Construction of a CRISPR-Cas9-Mediated Base Editing Library for Screening Functional Variants of CALR Gene

CALR is an endoplasmic reticulum (ER) resident protein critical for JEV replication. We identified CALR functional mutations involved in JEV replication by developing a CRISPR-Cas9-mediated cytosine base editing strategy to perform unbiased single-base saturation screening against all exons and introns of the CALR gene (Figure 1a). We first generated a PK-15 cell line expressing AncBE4max (PK15-BE4) with a PiggyBac transposon-mediated gene transfer approach (Figure 1b). After selecting clones, we amplified the sequence of Cas9 and identified the positive clones (Supplementary Figure S1). The No.7 of PK15-BE4 cell line was selected to further evaluate the editing activity with two sgRNAs targeting the SLC35B2 and DRG1 sites (Figure 1c). We chose the PK15-BE4 cell line for further study. Then, 520 sgRNAs containing 457 specific sgRNAs targeting all exons and introns of the CALR gene and 63 negative control sgRNAs were designed using CRISPR-offinder (Figure 1d). Next, these sgRNAs were synthesized as an oligo array and cloned into lentiviral vectors using Gibson assembly (Figure 1e).
The cloned sgRNA constructs were PCR amplified and deep sequenced to detect the abundance of the library. The results showed that 98.65% (513/520) of the initially designed and synthesized sgRNAs were in the plasmid library (Supplementary Table S2). To further assess the quality of this sgRNA library and determine the optimal screening time for the challenge of JEV, four of the designed sgRNAs were randomly selected and evaluated for their gene-editing activity at different time points. The results showed that the gene-editing activity of these sgRNAs was about 20–60% and stabilized at approximately 10 days postinfection with sgRNA-harboring lentivirus in PK15-BE4 cells (Figure 1f). The results imply that the constructed sgRNA library can be used for subsequent experiments.

3.2. Screening for CALR Functional Mutations Involved in JEV Replication by a CRISPR-Cas9-Mediated Cytosine Base Editing Strategy

Subsequently, a single-base saturable mutant cell pool of the CALR gene was constructed by infecting PK15-BE4 cells with sgRNA lentivirus (Supplementary Figures S2 and S3). Deep sequencing results showed that most of the initially designed sgRNA sequences were retained in the mutant cell pool (Supplementary Table S3). Next, this high-quality mutant cell pool was challenged with JEV at an MOI of 0.1, and the surviving mutant cells were collected and deep sequenced. Through bioinformatics analysis, we obtained a batch of enriched sgRNAs (Figure 1g). And the top three ranked sgRNAs were found to be sgCALR_S_215, sgCALR_A_521 and sgCALR_A_488, respectively (Supplementary Table S4).
Then, these top three ranked sgRNAs were further selected for functional validation. Using CRISPR single-base pooled editing experiments, we found that sgCALR_A_521 lentivirus infection of PK15-BE4 cells significantly inhibited JEV replication; however, two other enriched sgRNA infected PK15-BE4 cells failed to inhibit JEV replication (Supplementary Figure S4). Interestingly, we found that sgCALR_A_521 targets intron 2 of the CALR gene. The results imply that mutations in intron 2 of the CALR gene can inhibit viral replication.

3.3. Consecutive Mutations of Four Bases in CALR Intron 2 Significantly Inhibit JEV Replication

To further determine the genotype of the intron-2 mutation in the CALR gene and to clarify its role, we constructed three cell lines with single-clonal-origin of the CALR intron-2 mutation by AncBE4max-mediated base editing technique. Sanger sequencing results showed that only one of these mutant cell lines was homozygous with four consecutive G-base mutations in CALR intron-2 (Mut-1). The other two mutant cell lines were heterozygous (Figure 2a and Figure S5). Therefore, the Mut-1 cell line was selected and challenged with JEV. The results showed that Mut-1 cells significantly inhibit the proliferation ability of JEV after 12 h and 24 h of viral infection compared to wild-type cells by qRT-PCR assay (Figure 2b). Using plaque assay, we found that CALR Mut-1 cells could inhibit JEV replication, which was consistent with the qRT-PCR assay results (Figure 2c).
The density of viral particles in Mut-1 and wild-type cells was assessed with Negative Staining Electron Microscopy. The results showed that viral particles were observed in the endoplasmic reticulum of JEV-infected wild-type PK-15 cells but not in the endoplasmic reticulum of Mut-1 cells (Figure 2d). In addition, our data showed the diminution of mitochondrial crista in wild-type PK-15 cells but no diminution in Mut-1 cells after JEV infection (Figure 2d). By evaluating the predicted off-target sites of sgRNA, we found that the constructed Mut-1 mutant cells had relative high specificity (Supplementary Figure S6). Next, we examined CALR protein expression in Mut-1 cells. Unexpectedly, its protein expression was unchanged in the CALR mutant cells compared to wild-type cells (Figure 2e). Moreover, we found that Mut-1 cells can suppress the expression of JEV-encoded NS3 (Figure 2e). In addition, the CUT&Tag analysis showed that H3K4me3 and H3K27ac histone signals were detected in the mutation region (Figure 2f), implying that the intron-2 mutation site might be a transcription factor binding site, requiring further exploration. Taken together, we found that the mutation of four consecutive G bases to four A bases in intron 2 of the CALR gene can inhibit JEV replication.

4. Discussion

We identified an intron mutation crucial for JEV replication using CRISPR-base-editing screening based on an optimized sgRNA library. Mutating the intron sites of the CALR gene by base editing significantly inhibited JEV replication. Furthermore, H3K4me3 and H3K27ac histone signals were detected in this region, indicating that this intron mutation location might be a transcription factor binding site.
Error-prone PCR and DNA editors are no longer suitable for mutation generation and protein evolution studies due to their inherent inefficiency and complexity [9,25,26]. The development of CRISPR technology has facilitated progress in the field of protein evolution [27,28,29]. The CRISPR-Cas9 system has been applied to induce insertions and deletions (indels) in the target sites for generating targeted mutations [30]. However, mutations produced by CRISPR-Cas9 are typically nonfunctional or out-of-frame mutations are unsuitable for directed evolution. In addition, the double-strand breaks (DSBs) triggered by Cas9 have aroused public concern about the safety of this system [31,32]. The CRISPR-mediated base editor can produce specific mutations without inducing DSBs, showing better security and higher efficiency, which is more conducive to protein evolution in basic functional genomics research [10,33]. Previous studies on base editing screening of critical genes primarily focused on gene exon functions overlooking the intron regions [13,14]. Hence, this study optimized the sgRNA library covering all the exons and introns of the CALR gene and realized the saturation coverage of the whole gene sequences.
Notably, the intron mutation identified in this study was related to virus replication, consistent with previous reports that some intron regions might be associated with virus infection [34]. The top two most enriched sgRNAs screened in this study were in the matching segment of the genome, further confirming the trustworthiness of this mutation site. Compared with the wild-type cells, the Mut-1 cell line with this intron mutation significantly inhibited the replication of JEV, but this cell line still expressed normal levels of the CALR protein, which was partially inconsistent with one previous report that knocking out CALR inhibited JEV replication [5]. Such inconsistency might be due to the influence of transcription factor binding or remote regulation. However, the mechanism by which intron mutation inhibits JEV replication needs further exploration.
We successfully constructed an sgRNA library covering all the exons and introns of the CALR gene. Previous genome-wide knockout screening studies of human infectious diseases identified critical target genes. This method is limited to gene screening and cannot be used for identifying specific mutations, whereas the saturation mutation screening method developed in this study can be applied for exploring exact domains or regions of the target genes [5,35,36]. Therefore, our technique is conducive to revealing the unknown function and mechanism of the target gene. Since our method requires no gene knockout, it can avoid possible embryonic death induced by gene knockout and thus provide new resources for disease models.
Nevertheless, there are still some limitations in our research. First, the types of mutations generated by the system are limited to the editing window and types (C to T) [10]. Secondly, we failed to completely cover all the sequences of the CALR gene due to the PAM limitation of sgRNA. Future studies can break through these limitations by applying prime editing, SpRY-based base editing or dual-functional base editing systems to increase the types of mutations [37,38,39,40]. Overall, this study reveals the potential mechanism by which intron mutations inhibit JEV replication. In addition to screening critical mutations, the developed method can identify key disease-resistant targets.

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms241713331/s1.

Author Contributions

J.R. and S.X. conceptualized the study; most of the experimental work was conducted by Y.X. (Youcai Xiong) and X.X. with minor contributions from Y.S. and R.H.; Y.X. (Yue Xiang), S.L., H.L., C.X., B.X., X.W., L.F., C.Z., X.H. and X.L. contributed to data analysis; Y.X. (Youcai Xiong), J.R. and S.X. wrote and revised the draft. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Natural Science Foundation of China (No. 32072685), the National Key R&D Program of China (2021YFA0805903-3), Major Science and Technology Projects in Hubei Province (No. 2020ABA016) and Supported by Hubei Provincial Natural Science Foundation of China.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data related to this paper may be requested from the authors.

Acknowledgments

We appreciate Shuhong Zhao’s contribution to this research. We also appreciate Yan Wang (Institute of Hydrobiology, Chinese Academy of Sciences) for her assistance with flow cytometry.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Scherer, W.F.; Moyer, J.T.; Izumi, T.; Gresser, I.; Mc, C.J. Ecologic studies of Japanese encephalitis virus in Japan. VI. Swine infection. Am. J. Trop. Med. Hyg. 1959, 8, 698–706. [Google Scholar] [CrossRef] [PubMed]
  2. Shi, Q.; Song, X.; Lv, Y.; Huang, X.; Kou, J.; Wang, H.W.; Zhang, H.; Cheng, P.; Gong, M. Potential Risks Associated with Japanese Encephalitis Prevalence in Shandong Province, China. Vector-Borne Zoonotic Dis. 2019, 19, 640–645. [Google Scholar] [CrossRef] [PubMed]
  3. Vaughn, D.W.; Hoke, C.H., Jr. The epidemiology of Japanese encephalitis: Prospects for prevention. Epidemiol. Rev. 1992, 14, 197–221. [Google Scholar] [CrossRef]
  4. Scherer, W.F.; Moyer, J.T.; Izumi, T. Immunologic studies of Japanese encephalitis virus in Japan. V. Maternal antibodies, antibody responses and viremia following infection of swine. J. Immunol. 1959, 83, 620–626. [Google Scholar] [CrossRef]
  5. Zhao, C.; Liu, H.; Xiao, T.; Wang, Z.; Nie, X.; Li, X.; Qian, P.; Qin, L.; Han, X.; Zhang, J.; et al. CRISPR screening of porcine sgRNA library identifies host factors associated with Japanese encephalitis virus replication. Nat. Commun. 2020, 11, 5178. [Google Scholar] [CrossRef] [PubMed]
  6. McCullum, E.O.; Williams, B.A.; Zhang, J.; Chaput, J.C. Random mutagenesis by error-prone PCR. Methods Mol. Biol. 2010, 634, 103–109. [Google Scholar]
  7. Copp, J.N.; Hanson-Manful, P.; Ackerley, D.F.; Patrick, W.M. Error-prone PCR and effective generation of gene variant libraries for directed evolution. Methods Mol. Biol. 2014, 1179, 3–22. [Google Scholar]
  8. Chen, H.; Liu, S.; Padula, S.; Lesman, D.; Griswold, K.; Lin, A.; Zhao, T.; Marshall, J.L.; Chen, F. Efficient, continuous mutagenesis in human cells using a pseudo-random DNA editor. Nat. Biotechnol. 2020, 38, 165–168. [Google Scholar] [CrossRef]
  9. Packer, M.S.; Liu, D.R. Methods for the directed evolution of proteins. Nat. Rev. Genet. 2015, 16, 379–394. [Google Scholar] [CrossRef]
  10. Komor, A.C.; Kim, Y.B.; Packer, M.S.; Zuris, J.A.; Liu, D.R. Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature 2016, 533, 420–424. [Google Scholar] [CrossRef]
  11. Kim, K.; Ryu, S.M.; Kim, S.T.; Baek, G.; Kim, D.; Lim, K.; Chung, E.; Kim, S.; Kim, J.S. Highly efficient RNA-guided base editing in mouse embryos. Nat. Biotechnol. 2017, 35, 435–437. [Google Scholar] [CrossRef]
  12. Zong, Y.; Wang, Y.; Li, C.; Zhang, R.; Chen, K.; Ran, Y.; Qiu, J.L.; Wang, D.; Gao, C. Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusion. Nat. Biotechnol. 2017, 35, 438–440. [Google Scholar] [CrossRef]
  13. Li, Q.; Li, Y.; Yang, S.; Huang, S.; Yan, M.; Ding, Y.; Tang, W.; Lou, X.; Yin, Q.; Sun, Z.; et al. CRISPR-Cas9-mediated base-editing screening in mice identifies DND1 amino acids that are critical for primordial germ cell development. Nat. Cell Biol. 2018, 20, 1315–1325. [Google Scholar] [CrossRef] [PubMed]
  14. Li, C.; Zhang, R.; Meng, X.; Chen, S.; Zong, Y.; Lu, C.; Qiu, J.L.; Chen, Y.H.; Li, J.; Gao, C. Targeted, random mutagenesis of plant genes with dual cytosine and adenine base editors. Nat. Biotechnol. 2020, 38, 875–882. [Google Scholar] [CrossRef]
  15. Boix, C.A.; James, B.T.; Park, Y.P.; Meuleman, W.; Kellis, M. Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature 2021, 590, 300–307. [Google Scholar] [CrossRef] [PubMed]
  16. Tokuhiro, K.; Satouh, Y.; Nozawa, K.; Isotani, A.; Fujihara, Y.; Hirashima, Y.; Matsumura, H.; Takumi, K.; Miyano, T.; Okabe, M.; et al. Calreticulin is required for development of the cumulus oocyte complex and female fertility. Sci. Rep. 2015, 5, 14254. [Google Scholar] [CrossRef] [PubMed]
  17. Mesaeli, N.; Nakamura, K.; Zvaritch, E.; Dickie, P.; Dziak, E.; Krause, K.-H.; Opas, M.; MacLennan, D.H.; Michalak, M. Calreticulin Is Essential for Cardiac Development. J. Cell Biol. 1999, 144, 857–868. [Google Scholar] [CrossRef]
  18. Zhao, C.; Zheng, X.; Qu, W.; Li, G.; Li, X.; Miao, Y.L.; Han, X.; Liu, X.; Li, Z.; Ma, Y.; et al. CRISPR-offinder: A CRISPR guide RNA design and off-target searching tool for user-defined protospacer adjacent motif. Int. J. Biol. Sci. 2017, 13, 1470–1478. [Google Scholar] [CrossRef]
  19. Li, W.; Xu, H.; Xiao, T.; Cong, L.; Love, M.I.; Zhang, F.; Irizarry, R.A.; Liu, J.S.; Brown, M.; Liu, X.S. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol. 2014, 15, 554. [Google Scholar] [CrossRef]
  20. Bae, S.; Park, J.; Kim, J.S. Cas-OFFinder: A fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases. Bioinformatics 2014, 30, 1473–1475. [Google Scholar] [CrossRef]
  21. Langmead, B.; Salzberg, S.L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 2012, 9, 357–359. [Google Scholar] [CrossRef] [PubMed]
  22. Zhang, Y.; Liu, T.; Meyer, C.A.; Eeckhoute, J.; Johnson, D.S.; Bernstein, B.E.; Nusbaum, C.; Myers, R.M.; Brown, M.; Li, W.; et al. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008, 9, R137. [Google Scholar] [CrossRef]
  23. Quinlan, A.R.; Hall, I.M. BEDTools: A flexible suite of utilities for comparing genomic features. Bioinformatics 2010, 26, 841–842. [Google Scholar] [CrossRef]
  24. Robinson, J.T.; Thorvaldsdottir, H.; Winckler, W.; Guttman, M.; Lander, E.S.; Getz, G.; Mesirov, J.P. Integrative genomics viewer. Nat. Biotechnol. 2011, 29, 24–26. [Google Scholar] [CrossRef] [PubMed]
  25. Shao, W.; Ma, K.; Le, Y.; Wang, H.; Sha, C. Development and Use of a Novel Random Mutagenesis Method: In Situ Error-Prone PCR (is-epPCR). Methods Mol. Biol. 2017, 1498, 497–506. [Google Scholar]
  26. Cravens, A.; Jamil, O.K.; Kong, D.; Sockolosky, J.T.; Smolke, C.D. Polymerase-guided base editing enables in vivo mutagenesis and rapid protein engineering. Nat. Commun. 2021, 12, 1579. [Google Scholar] [CrossRef]
  27. Nishida, K.; Arazoe, T.; Yachie, N.; Banno, S.; Kakimoto, M.; Tabata, M.; Mochizuki, M.; Miyabe, A.; Araki, M.; Hara, K.Y.; et al. Targeted nucleotide editing using hybrid prokaryotic and vertebrate adaptive immune systems. Science 2016, 353, aaf8729. [Google Scholar] [CrossRef] [PubMed]
  28. Hess, G.T.; Fresard, L.; Han, K.; Lee, C.H.; Li, A.; Cimprich, K.A.; Montgomery, S.B.; Bassik, M.C. Directed evolution using dCas9-targeted somatic hypermutation in mammalian cells. Nat. Methods 2016, 13, 1036–1042. [Google Scholar] [CrossRef]
  29. Ma, Y.; Zhang, J.; Yin, W.; Zhang, Z.; Song, Y.; Chang, X. Targeted AID-mediated mutagenesis (TAM) enables efficient genomic diversification in mammalian cells. Nat. Methods 2016, 13, 1029–1035. [Google Scholar] [CrossRef]
  30. Cong, L.; Ran, F.A.; Cox, D.; Lin, S.; Barretto, R.; Habib, N.; Hsu, P.D.; Wu, X.; Jiang, W.; Marraffini, L.A.; et al. Multiplex genome engineering using CRISPR/Cas systems. Science 2013, 339, 819–823. [Google Scholar] [CrossRef]
  31. Enache, O.M.; Rendo, V.; Abdusamad, M.; Lam, D.; Davison, D.; Pal, S.; Currimjee, N.; Hess, J.; Pantel, S.; Nag, A.; et al. Cas9 activates the p53 pathway and selects for p53-inactivating mutations. Nat. Genet. 2020, 52, 662–668. [Google Scholar] [CrossRef]
  32. Kosicki, M.; Tomberg, K.; Bradley, A. Repair of double-strand breaks induced by CRISPR-Cas9 leads to large deletions and complex rearrangements. Nat. Biotechnol. 2018, 36, 765–771. [Google Scholar] [CrossRef]
  33. Gaudelli, N.M.; Komor, A.C.; Rees, H.A.; Packer, M.S.; Badran, A.H.; Bryson, D.I.; Liu, D.R. Programmable base editing of A*T to G*C in genomic DNA without DNA cleavage. Nature 2017, 551, 464–471. [Google Scholar] [CrossRef]
  34. Li, C.; Feng, L.; Luo, W.W.; Lei, C.Q.; Li, M.; Shu, H.B. The RNA-binding protein LUC7L2 mediates MITA/STING intron retention to negatively regulate innate antiviral response. Cell Discov. 2021, 7, 46. [Google Scholar] [CrossRef]
  35. Shalem, O.; Sanjana, N.E.; Hartenian, E.; Shi, X.; Scott, D.A.; Mikkelson, T.; Heckl, D.; Ebert, B.L.; Root, D.E.; Doench, J.G.; et al. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 2014, 343, 84–87. [Google Scholar] [CrossRef]
  36. Wei, J.; Alfajaro, M.M.; DeWeirdt, P.C.; Hanna, R.E.; Lu-Culligan, W.J.; Cai, W.L.; Strine, M.S.; Zhang, S.M.; Graziano, V.R.; Schmitz, C.O.; et al. Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection. Cell 2021, 184, 76–91.e13. [Google Scholar] [CrossRef] [PubMed]
  37. Anzalone, A.V.; Randolph, P.B.; Davis, J.R.; Sousa, A.A.; Koblan, L.W.; Levy, J.M.; Chen, P.J.; Wilson, C.; Newby, G.A.; Raguram, A.; et al. Search-and-replace genome editing without double-strand breaks or donor DNA. Nature 2019, 576, 149–157. [Google Scholar] [CrossRef]
  38. Walton, R.T.; Christie, K.A.; Whittaker, M.N.; Kleinstiver, B.P. Unconstrained genome targeting with near-PAMless engineered CRISPR-Cas9 variants. Science 2020, 368, 290–296. [Google Scholar] [CrossRef] [PubMed]
  39. Zhang, X.; Zhu, B.; Chen, L.; Xie, L.; Yu, W.; Wang, Y.; Li, L.; Yin, S.; Yang, L.; Hu, H.; et al. Dual base editor catalyzes both cytosine and adenine base conversions in human cells. Nat. Biotechnol. 2020, 38, 856–860. [Google Scholar] [CrossRef] [PubMed]
  40. Liang, Y.; Xie, J.; Zhang, Q.; Wang, X.; Gou, S.; Lin, L.; Chen, T.; Ge, W.; Zhuang, Z.; Lian, M.; et al. AGBE: A dual deaminase-mediated base editor by fusing CGBE with ABE for creating a saturated mutant population with multiple editing patterns. Nucleic Acids Res. 2022, 50, 5384–5399. [Google Scholar] [CrossRef]
Figure 1. Schematic of identifying critical mutations of the CALR gene. (a) Workflow and screening procedures by the CRISPR-mediated base editing screening. (b) Structure elements of the PiggyBac vector (PB-EF1ɑ-ancBE4max-pGK-puro) and the sgRNA expression vector (Lenti-sgRNA-EGFP). (c) Sequencing analysis of two target sites (SLC35B2 and DRG1). Red triangles indicate edited nucleotides. (i) Denotes the treatment group; (ii) Denotes the control group. (d) Schematic of the CALR gene showing the 8 exons, 7 introns and the 457 specific sgRNAs. The coloured squares and black lines linking squares indicate exons and introns, respectively. (e) The pipeline of sgRNA library construction. (f) Editing efficiency of 4 sgRNAs randomly selected from the designed sgRNA library in PK15-BE4 cell line. The editing efficiency was calculated by the editR program. The data were expressed as the means ± SD of three independent experiments. (g) Scatter dot plots showing sgRNA frequencies and enrichment extent. The viable cells were compared between the JEV infection group and the noninoculated control group.
Figure 1. Schematic of identifying critical mutations of the CALR gene. (a) Workflow and screening procedures by the CRISPR-mediated base editing screening. (b) Structure elements of the PiggyBac vector (PB-EF1ɑ-ancBE4max-pGK-puro) and the sgRNA expression vector (Lenti-sgRNA-EGFP). (c) Sequencing analysis of two target sites (SLC35B2 and DRG1). Red triangles indicate edited nucleotides. (i) Denotes the treatment group; (ii) Denotes the control group. (d) Schematic of the CALR gene showing the 8 exons, 7 introns and the 457 specific sgRNAs. The coloured squares and black lines linking squares indicate exons and introns, respectively. (e) The pipeline of sgRNA library construction. (f) Editing efficiency of 4 sgRNAs randomly selected from the designed sgRNA library in PK15-BE4 cell line. The editing efficiency was calculated by the editR program. The data were expressed as the means ± SD of three independent experiments. (g) Scatter dot plots showing sgRNA frequencies and enrichment extent. The viable cells were compared between the JEV infection group and the noninoculated control group.
Ijms 24 13331 g001
Figure 2. Significant inhibition of JEV replication by intron mutation. (a) Genotypes of cell lines edited by CALR_A_521 sgRNA. Mut-1 refers to homozygotes; Mut-2 and Mut-3 refer to heterozygotes. (b) Expression of JEV-C gene in JEV-infected Mut-1 cells detected by qRT-PCR. (c) Viral concentration in Mut-1 cells by a virus plaque assay. (d) Effects of intron mutation (Mut-1) on virus particle assembly by negative-staining electron microscopy. Red arrows point to scattered virus particles in the endoplasmic reticulum. Blue arrows point to the mitochondria of Mut-1 cells infected with JEV. Scale bar, 5 µm or 1 µm. (e) Western blot analysis of CALR and JEV-NS3 protein in Mut-1 and WT cells. (f) CUT&Tag analysis of the region where the intron mutation occurred in PK-15 cells. PAM, protospacer adjacent motif; JEV, Japanese encephalitis virus; MOI, multiplicities of infection; hpi, hours post-infection; WT, wild-type; kDa, kilodalton. Non-infected cells were used as negative control (Mock). Data are expressed as means ± SD (n = 3). * p < 0.05; *** p < 0.001; **** p < 0.0001. Two-tailed Student’s t-test was performed to determine statistically significant differences among groups.
Figure 2. Significant inhibition of JEV replication by intron mutation. (a) Genotypes of cell lines edited by CALR_A_521 sgRNA. Mut-1 refers to homozygotes; Mut-2 and Mut-3 refer to heterozygotes. (b) Expression of JEV-C gene in JEV-infected Mut-1 cells detected by qRT-PCR. (c) Viral concentration in Mut-1 cells by a virus plaque assay. (d) Effects of intron mutation (Mut-1) on virus particle assembly by negative-staining electron microscopy. Red arrows point to scattered virus particles in the endoplasmic reticulum. Blue arrows point to the mitochondria of Mut-1 cells infected with JEV. Scale bar, 5 µm or 1 µm. (e) Western blot analysis of CALR and JEV-NS3 protein in Mut-1 and WT cells. (f) CUT&Tag analysis of the region where the intron mutation occurred in PK-15 cells. PAM, protospacer adjacent motif; JEV, Japanese encephalitis virus; MOI, multiplicities of infection; hpi, hours post-infection; WT, wild-type; kDa, kilodalton. Non-infected cells were used as negative control (Mock). Data are expressed as means ± SD (n = 3). * p < 0.05; *** p < 0.001; **** p < 0.0001. Two-tailed Student’s t-test was performed to determine statistically significant differences among groups.
Ijms 24 13331 g002
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Xiong, Y.; Xi, X.; Xiang, Y.; Li, S.; Liu, H.; Su, Y.; He, R.; Xiong, C.; Xu, B.; Wang, X.; et al. CRISPR-Cas9-Mediated Cytosine Base Editing Screen for the Functional Assessment of CALR Intron Variants in Japanese Encephalitis Virus Replication. Int. J. Mol. Sci. 2023, 24, 13331. https://doi.org/10.3390/ijms241713331

AMA Style

Xiong Y, Xi X, Xiang Y, Li S, Liu H, Su Y, He R, Xiong C, Xu B, Wang X, et al. CRISPR-Cas9-Mediated Cytosine Base Editing Screen for the Functional Assessment of CALR Intron Variants in Japanese Encephalitis Virus Replication. International Journal of Molecular Sciences. 2023; 24(17):13331. https://doi.org/10.3390/ijms241713331

Chicago/Turabian Style

Xiong, Youcai, Xiaoning Xi, Yue Xiang, Sheng Li, Hailong Liu, Yinyu Su, Ruigao He, Chong Xiong, Bingrong Xu, Xinyi Wang, and et al. 2023. "CRISPR-Cas9-Mediated Cytosine Base Editing Screen for the Functional Assessment of CALR Intron Variants in Japanese Encephalitis Virus Replication" International Journal of Molecular Sciences 24, no. 17: 13331. https://doi.org/10.3390/ijms241713331

APA Style

Xiong, Y., Xi, X., Xiang, Y., Li, S., Liu, H., Su, Y., He, R., Xiong, C., Xu, B., Wang, X., Fu, L., Zhao, C., Han, X., Li, X., Xie, S., & Ruan, J. (2023). CRISPR-Cas9-Mediated Cytosine Base Editing Screen for the Functional Assessment of CALR Intron Variants in Japanese Encephalitis Virus Replication. International Journal of Molecular Sciences, 24(17), 13331. https://doi.org/10.3390/ijms241713331

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop