Computational modeling of the relationship between morphological heterogeneity and functional responses in mouse hippocampal astrocytes.

astrocyte biophysical modeling calcium dynamics computational neuroscience intracellular signaling morphology

Journal

Frontiers in cellular neuroscience
ISSN: 1662-5102
Titre abrégé: Front Cell Neurosci
Pays: Switzerland
ID NLM: 101477935

Informations de publication

Date de publication:
2024
Historique:
received: 02 08 2024
accepted: 23 09 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 1 11 2024
Statut: epublish

Résumé

Recent studies indicate that astrocytes show heterogeneity in morphology and physiological function. They integrate synaptic signals and release calcium in reaction to active neurons. These calcium signals are not yet fully understood as they are highly dependent on the cell's morphology, which can vary across and within brain regions. We found structural heterogeneity among mouse hippocampal CA1 astrocytes based on geometric features, clustering 741 cells into six classes. Of those, we selected 84 cells and reconstructed their morphology based on confocal microscope images and converted them into multi-compartment models with a high detailedness. We applied a computational biophysical model simulating the intracellular ion and IP

Identifiants

pubmed: 39484184
doi: 10.3389/fncel.2024.1474948
pmc: PMC11524972
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1474948

Informations de copyright

Copyright © 2024 Freund, Mayr, Winkler, Weber, Tervonen, Refaeli and Lenk.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Anna Freund (A)

Faculty of Computer Science and Biomedical Engineering, Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Alexander Mayr (A)

Faculty of Computer Science and Biomedical Engineering, Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Peter Winkler (P)

Faculty of Computer Science and Biomedical Engineering, Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Rene Weber (R)

Faculty of Computer Science and Biomedical Engineering, Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Aapo Tervonen (A)

Biosciences Unit, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Ron Refaeli (R)

Laboratory of Inbal Goshen, Hebrew University of Jerusalem, Edmond and Lily Safra Center (ELSC), Jerusalem, Israel.

Kerstin Lenk (K)

Faculty of Computer Science and Biomedical Engineering, Institute of Neural Engineering, Graz University of Technology, Graz, Austria.
BioTechMed, Graz, Austria.

Classifications MeSH