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A comparison of gene expression and DNA methylation patterns across tissues and species
Previously published comparative functional genomic data sets from primates using frozen tissue samples, including many data sets from our own group, were often collected and analyzed using nonoptimal study designs and analysis approaches. In addition, when samples from multiple tissues were studied...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050529/ https://www.ncbi.nlm.nih.gov/pubmed/31953346 http://dx.doi.org/10.1101/gr.254904.119 |
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author | Blake, Lauren E. Roux, Julien Hernando-Herraez, Irene Banovich, Nicholas E. Perez, Raquel Garcia Hsiao, Chiaowen Joyce Eres, Ittai Cuevas, Claudia Marques-Bonet, Tomas Gilad, Yoav |
author_facet | Blake, Lauren E. Roux, Julien Hernando-Herraez, Irene Banovich, Nicholas E. Perez, Raquel Garcia Hsiao, Chiaowen Joyce Eres, Ittai Cuevas, Claudia Marques-Bonet, Tomas Gilad, Yoav |
author_sort | Blake, Lauren E. |
collection | PubMed |
description | Previously published comparative functional genomic data sets from primates using frozen tissue samples, including many data sets from our own group, were often collected and analyzed using nonoptimal study designs and analysis approaches. In addition, when samples from multiple tissues were studied in a comparative framework, individuals and tissues were confounded. We designed a multitissue comparative study of gene expression and DNA methylation in primates that minimizes confounding effects by using a balanced design with respect to species, tissues, and individuals. We also developed a comparative analysis pipeline that minimizes biases attributable to sequence divergence. Thus, we present the most comprehensive catalog of similarities and differences in gene expression and DNA methylation levels between livers, kidneys, hearts, and lungs, in humans, chimpanzees, and rhesus macaques. We estimate that overall, interspecies and inter-tissue differences in gene expression levels can only modestly be accounted for by corresponding differences in promoter DNA methylation. However, the expression pattern of genes with conserved inter-tissue expression differences can be explained by corresponding interspecies methylation changes more often. Finally, we show that genes whose tissue-specific regulatory patterns are consistent with the action of natural selection are highly connected in both gene regulatory and protein–protein interaction networks. |
format | Online Article Text |
id | pubmed-7050529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-70505292020-03-16 A comparison of gene expression and DNA methylation patterns across tissues and species Blake, Lauren E. Roux, Julien Hernando-Herraez, Irene Banovich, Nicholas E. Perez, Raquel Garcia Hsiao, Chiaowen Joyce Eres, Ittai Cuevas, Claudia Marques-Bonet, Tomas Gilad, Yoav Genome Res Resource Previously published comparative functional genomic data sets from primates using frozen tissue samples, including many data sets from our own group, were often collected and analyzed using nonoptimal study designs and analysis approaches. In addition, when samples from multiple tissues were studied in a comparative framework, individuals and tissues were confounded. We designed a multitissue comparative study of gene expression and DNA methylation in primates that minimizes confounding effects by using a balanced design with respect to species, tissues, and individuals. We also developed a comparative analysis pipeline that minimizes biases attributable to sequence divergence. Thus, we present the most comprehensive catalog of similarities and differences in gene expression and DNA methylation levels between livers, kidneys, hearts, and lungs, in humans, chimpanzees, and rhesus macaques. We estimate that overall, interspecies and inter-tissue differences in gene expression levels can only modestly be accounted for by corresponding differences in promoter DNA methylation. However, the expression pattern of genes with conserved inter-tissue expression differences can be explained by corresponding interspecies methylation changes more often. Finally, we show that genes whose tissue-specific regulatory patterns are consistent with the action of natural selection are highly connected in both gene regulatory and protein–protein interaction networks. Cold Spring Harbor Laboratory Press 2020-02 /pmc/articles/PMC7050529/ /pubmed/31953346 http://dx.doi.org/10.1101/gr.254904.119 Text en © 2020 Blake et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Resource Blake, Lauren E. Roux, Julien Hernando-Herraez, Irene Banovich, Nicholas E. Perez, Raquel Garcia Hsiao, Chiaowen Joyce Eres, Ittai Cuevas, Claudia Marques-Bonet, Tomas Gilad, Yoav A comparison of gene expression and DNA methylation patterns across tissues and species |
title | A comparison of gene expression and DNA methylation patterns across tissues and species |
title_full | A comparison of gene expression and DNA methylation patterns across tissues and species |
title_fullStr | A comparison of gene expression and DNA methylation patterns across tissues and species |
title_full_unstemmed | A comparison of gene expression and DNA methylation patterns across tissues and species |
title_short | A comparison of gene expression and DNA methylation patterns across tissues and species |
title_sort | comparison of gene expression and dna methylation patterns across tissues and species |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050529/ https://www.ncbi.nlm.nih.gov/pubmed/31953346 http://dx.doi.org/10.1101/gr.254904.119 |
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