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Systematic identification of gene family regulators in mouse and human embryonic stem cells

Pluripotent self-renewing embryonic stem cells (ESCs) have been the focus of a growing number of high-throughput experiments, revealing the genome-wide locations of hundreds of transcription factors and histone modifications. While most of these datasets were used in a specific context, all datasets...

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Detalles Bibliográficos
Autores principales: Aaronson, Yair, Livyatan, Ilana, Gokhman, David, Meshorer, Eran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872113/
https://www.ncbi.nlm.nih.gov/pubmed/27084933
http://dx.doi.org/10.1093/nar/gkw259
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author Aaronson, Yair
Livyatan, Ilana
Gokhman, David
Meshorer, Eran
author_facet Aaronson, Yair
Livyatan, Ilana
Gokhman, David
Meshorer, Eran
author_sort Aaronson, Yair
collection PubMed
description Pluripotent self-renewing embryonic stem cells (ESCs) have been the focus of a growing number of high-throughput experiments, revealing the genome-wide locations of hundreds of transcription factors and histone modifications. While most of these datasets were used in a specific context, all datasets combined offer a comprehensive view of chromatin characteristics and regulatory elements that govern cell states. Here, using hundreds of datasets in ESCs, we generated colocalization maps of chromatin proteins and modifications, and built a discovery pipeline for regulatory proteins of gene families. By comparing genome-wide binding data with over-expression and knockdown analysis of hundreds of genes, we discovered that the pluripotency-related factor NR5A2 separates mitochondrial from cytosolic ribosomal genes, regulating their expression. We further show that genes with a common chromatin profile are enriched for distinct Gene Ontology (GO) categories. Our approach can be generalized to reveal common regulators of any gene group; discover novel gene families, and identify common genomic elements based on shared chromatin features.
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spelling pubmed-48721132016-05-27 Systematic identification of gene family regulators in mouse and human embryonic stem cells Aaronson, Yair Livyatan, Ilana Gokhman, David Meshorer, Eran Nucleic Acids Res Data Resources and Analyses Pluripotent self-renewing embryonic stem cells (ESCs) have been the focus of a growing number of high-throughput experiments, revealing the genome-wide locations of hundreds of transcription factors and histone modifications. While most of these datasets were used in a specific context, all datasets combined offer a comprehensive view of chromatin characteristics and regulatory elements that govern cell states. Here, using hundreds of datasets in ESCs, we generated colocalization maps of chromatin proteins and modifications, and built a discovery pipeline for regulatory proteins of gene families. By comparing genome-wide binding data with over-expression and knockdown analysis of hundreds of genes, we discovered that the pluripotency-related factor NR5A2 separates mitochondrial from cytosolic ribosomal genes, regulating their expression. We further show that genes with a common chromatin profile are enriched for distinct Gene Ontology (GO) categories. Our approach can be generalized to reveal common regulators of any gene group; discover novel gene families, and identify common genomic elements based on shared chromatin features. Oxford University Press 2016-05-19 2016-04-15 /pmc/articles/PMC4872113/ /pubmed/27084933 http://dx.doi.org/10.1093/nar/gkw259 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Data Resources and Analyses
Aaronson, Yair
Livyatan, Ilana
Gokhman, David
Meshorer, Eran
Systematic identification of gene family regulators in mouse and human embryonic stem cells
title Systematic identification of gene family regulators in mouse and human embryonic stem cells
title_full Systematic identification of gene family regulators in mouse and human embryonic stem cells
title_fullStr Systematic identification of gene family regulators in mouse and human embryonic stem cells
title_full_unstemmed Systematic identification of gene family regulators in mouse and human embryonic stem cells
title_short Systematic identification of gene family regulators in mouse and human embryonic stem cells
title_sort systematic identification of gene family regulators in mouse and human embryonic stem cells
topic Data Resources and Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872113/
https://www.ncbi.nlm.nih.gov/pubmed/27084933
http://dx.doi.org/10.1093/nar/gkw259
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