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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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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. |
format | Online Article Text |
id | pubmed-4872113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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