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Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks

Connections in nervous systems are disproportionately concentrated on a small subset of neural elements that act as network hubs. Hubs have been found across different species and scales ranging from C. elegans to mouse, rat, cat, macaque, and human, suggesting a role for genetic influences. The rec...

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Autores principales: Arnatkevičiūtė, Aurina, Fulcher, Ben D., Fornito, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659348/
https://www.ncbi.nlm.nih.gov/pubmed/31379515
http://dx.doi.org/10.3389/fncir.2019.00047
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author Arnatkevičiūtė, Aurina
Fulcher, Ben D.
Fornito, Alex
author_facet Arnatkevičiūtė, Aurina
Fulcher, Ben D.
Fornito, Alex
author_sort Arnatkevičiūtė, Aurina
collection PubMed
description Connections in nervous systems are disproportionately concentrated on a small subset of neural elements that act as network hubs. Hubs have been found across different species and scales ranging from C. elegans to mouse, rat, cat, macaque, and human, suggesting a role for genetic influences. The recent availability of brain-wide gene expression atlases provides new opportunities for mapping the transcriptional correlates of large-scale network-level phenotypes. Here we review studies that use these atlases to investigate gene expression patterns associated with hub connectivity in neural networks and present evidence that some of these patterns are conserved across species and scales.
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spelling pubmed-66593482019-08-02 Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks Arnatkevičiūtė, Aurina Fulcher, Ben D. Fornito, Alex Front Neural Circuits Neuroscience Connections in nervous systems are disproportionately concentrated on a small subset of neural elements that act as network hubs. Hubs have been found across different species and scales ranging from C. elegans to mouse, rat, cat, macaque, and human, suggesting a role for genetic influences. The recent availability of brain-wide gene expression atlases provides new opportunities for mapping the transcriptional correlates of large-scale network-level phenotypes. Here we review studies that use these atlases to investigate gene expression patterns associated with hub connectivity in neural networks and present evidence that some of these patterns are conserved across species and scales. Frontiers Media S.A. 2019-07-19 /pmc/articles/PMC6659348/ /pubmed/31379515 http://dx.doi.org/10.3389/fncir.2019.00047 Text en Copyright © 2019 Arnatkevičiūtė, Fulcher and Fornito. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Arnatkevičiūtė, Aurina
Fulcher, Ben D.
Fornito, Alex
Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
title Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
title_full Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
title_fullStr Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
title_full_unstemmed Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
title_short Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks
title_sort uncovering the transcriptional correlates of hub connectivity in neural networks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659348/
https://www.ncbi.nlm.nih.gov/pubmed/31379515
http://dx.doi.org/10.3389/fncir.2019.00047
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