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A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases

Genes associated with risk for brain disease exhibit characteristic expression patterns that reflect both anatomical and cell type relationships. Brain-wide transcriptomic patterns of disease risk genes provide a molecular-based signature, based on differential co-expression, that is often unique to...

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Autores principales: Zeighami, Yashar, Bakken, Trygve E., Nickl-Jockschat, Thomas, Peterson, Zeru, Jegga, Anil G., Miller, Jeremy A., Schulkin, Jay, Evans, Alan C., Lein, Ed S., Hawrylycz, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118126/
https://www.ncbi.nlm.nih.gov/pubmed/37079537
http://dx.doi.org/10.1371/journal.pbio.3002058
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author Zeighami, Yashar
Bakken, Trygve E.
Nickl-Jockschat, Thomas
Peterson, Zeru
Jegga, Anil G.
Miller, Jeremy A.
Schulkin, Jay
Evans, Alan C.
Lein, Ed S.
Hawrylycz, Michael
author_facet Zeighami, Yashar
Bakken, Trygve E.
Nickl-Jockschat, Thomas
Peterson, Zeru
Jegga, Anil G.
Miller, Jeremy A.
Schulkin, Jay
Evans, Alan C.
Lein, Ed S.
Hawrylycz, Michael
author_sort Zeighami, Yashar
collection PubMed
description Genes associated with risk for brain disease exhibit characteristic expression patterns that reflect both anatomical and cell type relationships. Brain-wide transcriptomic patterns of disease risk genes provide a molecular-based signature, based on differential co-expression, that is often unique to that disease. Brain diseases can be compared and aggregated based on the similarity of their signatures which often associates diseases from diverse phenotypic classes. Analysis of 40 common human brain diseases identifies 5 major transcriptional patterns, representing tumor-related, neurodegenerative, psychiatric and substance abuse, and 2 mixed groups of diseases affecting basal ganglia and hypothalamus. Further, for diseases with enriched expression in cortex, single-nucleus data in the middle temporal gyrus (MTG) exhibits a cell type expression gradient separating neurodegenerative, psychiatric, and substance abuse diseases, with unique excitatory cell type expression differentiating psychiatric diseases. Through mapping of homologous cell types between mouse and human, most disease risk genes are found to act in common cell types, while having species-specific expression in those types and preserving similar phenotypic classification within species. These results describe structural and cellular transcriptomic relationships of disease risk genes in the adult brain and provide a molecular-based strategy for classifying and comparing diseases, potentially identifying novel disease relationships.
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spelling pubmed-101181262023-04-21 A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases Zeighami, Yashar Bakken, Trygve E. Nickl-Jockschat, Thomas Peterson, Zeru Jegga, Anil G. Miller, Jeremy A. Schulkin, Jay Evans, Alan C. Lein, Ed S. Hawrylycz, Michael PLoS Biol Methods and Resources Genes associated with risk for brain disease exhibit characteristic expression patterns that reflect both anatomical and cell type relationships. Brain-wide transcriptomic patterns of disease risk genes provide a molecular-based signature, based on differential co-expression, that is often unique to that disease. Brain diseases can be compared and aggregated based on the similarity of their signatures which often associates diseases from diverse phenotypic classes. Analysis of 40 common human brain diseases identifies 5 major transcriptional patterns, representing tumor-related, neurodegenerative, psychiatric and substance abuse, and 2 mixed groups of diseases affecting basal ganglia and hypothalamus. Further, for diseases with enriched expression in cortex, single-nucleus data in the middle temporal gyrus (MTG) exhibits a cell type expression gradient separating neurodegenerative, psychiatric, and substance abuse diseases, with unique excitatory cell type expression differentiating psychiatric diseases. Through mapping of homologous cell types between mouse and human, most disease risk genes are found to act in common cell types, while having species-specific expression in those types and preserving similar phenotypic classification within species. These results describe structural and cellular transcriptomic relationships of disease risk genes in the adult brain and provide a molecular-based strategy for classifying and comparing diseases, potentially identifying novel disease relationships. Public Library of Science 2023-04-20 /pmc/articles/PMC10118126/ /pubmed/37079537 http://dx.doi.org/10.1371/journal.pbio.3002058 Text en © 2023 Zeighami et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Methods and Resources
Zeighami, Yashar
Bakken, Trygve E.
Nickl-Jockschat, Thomas
Peterson, Zeru
Jegga, Anil G.
Miller, Jeremy A.
Schulkin, Jay
Evans, Alan C.
Lein, Ed S.
Hawrylycz, Michael
A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
title A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
title_full A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
title_fullStr A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
title_full_unstemmed A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
title_short A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
title_sort comparison of anatomic and cellular transcriptome structures across 40 human brain diseases
topic Methods and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118126/
https://www.ncbi.nlm.nih.gov/pubmed/37079537
http://dx.doi.org/10.1371/journal.pbio.3002058
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