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9.4
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Journals
Biomolecules
Special Issues
Neuron–Astrocyte Interactions in Neurological Function and Disease
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Neuron–Astrocyte Interactions in Neurological Function and Disease

A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Structure and Dynamics".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 2195

Special Issue Editors

Dr. Micaela Zonta

E-Mail Website
Guest Editor
Istituto di Neuroscienze-CNR Consiglio Nazionale delle Ricerche, Viale Colombo 3, Padova, Italy
Interests: astrocytes; neuron–glia communication; brain physiopathology; Ca2+ imaging; neurovascular coupling; Alzheimer’s disease; epilepsy
Dr. Alessandro Di Spiezio

E-Mail Website
Guest Editor
Istituto di Neuroscienze-CNR Consiglio Nazionale delle Ricerche, Viale Colombo 3, Padova, Italy
Interests: Alzheimer’s disease; brain pathophysiology; astrocytes; neurodegenerative diseases; cellular biology

Special Issue Information

Dear Colleagues,

Astrocytes play a central role in brain homeostasis and the modulation of synaptic transmission, and the reciprocal communication between neurons and astrocytes has emerged as a key process in neurophysiology. This aspect cannot be overlooked when investigating the mechanisms involved in neuropathological conditions. Indeed, while ex vivo and in vivo findings continue to provide new insights into how astrocytes integrate neurons in modulating brain circuits and, ultimately, animal behavior, several studies on neuropathological conditions have revealed alterations in astrocyte signaling pathways, often accompanied by a shift to a reactive state and significant transcriptome changes. Viewing this Special Issue as an opportunity to disseminate recent research findings to a wide audience, we welcome reviews and research articles that address this intercommunication at structural, molecular and cellular levels, with a particular focus on findings related to neurological function and dysfunction.

Dr. Micaela Zonta
Dr. Alessandro Di Spiezio
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • astrocytes
  • neuron-astrocyte communication
  • brain function
  • neurological disease

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Published Papers (1 paper)

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Research

18 pages, 4799 KiB  
Article
Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN)
by Alok Bhattarai, Jan Meyer, Laura Petersilie, Syed I. Shah, Louis A. Neu, Christine R. Rose and Ghanim Ullah
Biomolecules 2024, 14(11), 1348; https://doi.org/10.3390/biom14111348 - 23 Oct 2024
Viewed by 1663
Abstract
With the recent surge in the development of highly selective probes, fluorescence microscopy has become one of the most widely used approaches to studying cellular properties and signaling in living cells and tissues. Traditionally, microscopy image analysis heavily relies on manufacturer-supplied software, which [...] Read more.
With the recent surge in the development of highly selective probes, fluorescence microscopy has become one of the most widely used approaches to studying cellular properties and signaling in living cells and tissues. Traditionally, microscopy image analysis heavily relies on manufacturer-supplied software, which often demands extensive training and lacks automation capabilities for handling diverse datasets. A critical challenge arises if the fluorophores employed exhibit low brightness and a low signal-to-noise ratio (SNR). Consequently, manual intervention may become a necessity, introducing variability in the analysis outcomes even for identical samples when analyzed by different users. This leads to the incorporation of blinded analysis, which ensures that the outcome is free from user bias to a certain extent but is extremely time-consuming. To overcome these issues, we developed a tool called DL-SCAN that automatically segments and analyzes fluorophore-stained regions of interest such as cell bodies in fluorescence microscopy images using deep learning. We demonstrate the program’s ability to automate cell identification and study cellular ion dynamics using synthetic image stacks with varying SNR. This is followed by its application to experimental Na+ and Ca2+ imaging data from neurons and astrocytes in mouse brain tissue slices exposed to transient chemical ischemia. The results from DL-SCAN are consistent, reproducible, and free from user bias, allowing efficient and rapid analysis of experimental data in an objective manner. The open-source nature of the tool also provides room for modification and extension to analyze other forms of microscopy images specific to the dynamics of different ions in other cell types. Full article
(This article belongs to the Special Issue Neuron–Astrocyte Interactions in Neurological Function and Disease)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: a paper or a review on Alzheimer's
Authors: Micaela Zonta; Alessandro Di Spiezio
Affiliation: Consiglio Nazionale delle Ricerche

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