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Sex differences in interindividual gene expression variability across human tissues

Understanding phenotypic sex differences has long been a goal of biology from both a medical and evolutionary perspective. Although much attention has been paid to mean differences in phenotype between the sexes, little is known about sex differences in phenotypic variability. To gain insight into s...

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Autores principales: Khodursky, Samuel, Jiang, Caroline S, Zheng, Eric B, Vaughan, Roger, Schrider, Daniel R, Zhao, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802459/
https://www.ncbi.nlm.nih.gov/pubmed/36712323
http://dx.doi.org/10.1093/pnasnexus/pgac243
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author Khodursky, Samuel
Jiang, Caroline S
Zheng, Eric B
Vaughan, Roger
Schrider, Daniel R
Zhao, Li
author_facet Khodursky, Samuel
Jiang, Caroline S
Zheng, Eric B
Vaughan, Roger
Schrider, Daniel R
Zhao, Li
author_sort Khodursky, Samuel
collection PubMed
description Understanding phenotypic sex differences has long been a goal of biology from both a medical and evolutionary perspective. Although much attention has been paid to mean differences in phenotype between the sexes, little is known about sex differences in phenotypic variability. To gain insight into sex differences in interindividual variability at the molecular level, we analyzed RNA-seq data from 43 tissues from the Genotype-Tissue Expression project (GTEx). Within each tissue, we identified genes that show sex differences in gene expression variability. We found that these sex-differentially variable (SDV) genes are associated with various important biological functions, including sex hormone response, immune response, and other signaling pathways. By analyzing single-cell RNA sequencing data collected from breast epithelial cells, we found that genes with sex differences in gene expression variability in breast tissue tend to be expressed in a cell-type-specific manner. We looked for an association between SDV expression and Graves’ disease, a well-known heavily female-biased disease, and found a significant enrichment of Graves’ associated genes among genes with higher variability in females in thyroid tissue. This suggests a possible role for SDV expression in sex-biased disease. We then examined the evolutionary constraints acting on genes with sex differences in variability and found that they exhibit evidence of increased selective constraint. Through analysis of sex-biased eQTL data, we found evidence that SDV expression may have a genetic basis. Finally, we propose a simple evolutionary model for the emergence of SDV expression from sex-specific constraints.
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spelling pubmed-98024592023-01-26 Sex differences in interindividual gene expression variability across human tissues Khodursky, Samuel Jiang, Caroline S Zheng, Eric B Vaughan, Roger Schrider, Daniel R Zhao, Li PNAS Nexus Biological, Health, and Medical Sciences Understanding phenotypic sex differences has long been a goal of biology from both a medical and evolutionary perspective. Although much attention has been paid to mean differences in phenotype between the sexes, little is known about sex differences in phenotypic variability. To gain insight into sex differences in interindividual variability at the molecular level, we analyzed RNA-seq data from 43 tissues from the Genotype-Tissue Expression project (GTEx). Within each tissue, we identified genes that show sex differences in gene expression variability. We found that these sex-differentially variable (SDV) genes are associated with various important biological functions, including sex hormone response, immune response, and other signaling pathways. By analyzing single-cell RNA sequencing data collected from breast epithelial cells, we found that genes with sex differences in gene expression variability in breast tissue tend to be expressed in a cell-type-specific manner. We looked for an association between SDV expression and Graves’ disease, a well-known heavily female-biased disease, and found a significant enrichment of Graves’ associated genes among genes with higher variability in females in thyroid tissue. This suggests a possible role for SDV expression in sex-biased disease. We then examined the evolutionary constraints acting on genes with sex differences in variability and found that they exhibit evidence of increased selective constraint. Through analysis of sex-biased eQTL data, we found evidence that SDV expression may have a genetic basis. Finally, we propose a simple evolutionary model for the emergence of SDV expression from sex-specific constraints. Oxford University Press 2022-10-26 /pmc/articles/PMC9802459/ /pubmed/36712323 http://dx.doi.org/10.1093/pnasnexus/pgac243 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the National Academy of Sciences. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Biological, Health, and Medical Sciences
Khodursky, Samuel
Jiang, Caroline S
Zheng, Eric B
Vaughan, Roger
Schrider, Daniel R
Zhao, Li
Sex differences in interindividual gene expression variability across human tissues
title Sex differences in interindividual gene expression variability across human tissues
title_full Sex differences in interindividual gene expression variability across human tissues
title_fullStr Sex differences in interindividual gene expression variability across human tissues
title_full_unstemmed Sex differences in interindividual gene expression variability across human tissues
title_short Sex differences in interindividual gene expression variability across human tissues
title_sort sex differences in interindividual gene expression variability across human tissues
topic Biological, Health, and Medical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802459/
https://www.ncbi.nlm.nih.gov/pubmed/36712323
http://dx.doi.org/10.1093/pnasnexus/pgac243
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