Cargando…
Dissecting the brown adipogenic regulatory network using integrative genomics
Brown adipocytes regulate energy expenditure via mitochondrial uncoupling, which makes them attractive therapeutic targets to tackle obesity. However, the regulatory mechanisms underlying brown adipogenesis are still poorly understood. To address this, we profiled the transcriptome and chromatin sta...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299609/ https://www.ncbi.nlm.nih.gov/pubmed/28181539 http://dx.doi.org/10.1038/srep42130 |
_version_ | 1782506057176711168 |
---|---|
author | Pradhan, Rachana N. Bues, Johannes J. Gardeux, Vincent Schwalie, Petra C. Alpern, Daniel Chen, Wanze Russeil, Julie Raghav, Sunil K. Deplancke, Bart |
author_facet | Pradhan, Rachana N. Bues, Johannes J. Gardeux, Vincent Schwalie, Petra C. Alpern, Daniel Chen, Wanze Russeil, Julie Raghav, Sunil K. Deplancke, Bart |
author_sort | Pradhan, Rachana N. |
collection | PubMed |
description | Brown adipocytes regulate energy expenditure via mitochondrial uncoupling, which makes them attractive therapeutic targets to tackle obesity. However, the regulatory mechanisms underlying brown adipogenesis are still poorly understood. To address this, we profiled the transcriptome and chromatin state during mouse brown fat cell differentiation, revealing extensive gene expression changes and chromatin remodeling, especially during the first day post-differentiation. To identify putatively causal regulators, we performed transcription factor binding site overrepresentation analyses in active chromatin regions and prioritized factors based on their expression correlation with the bona-fide brown adipogenic marker Ucp1 across multiple mouse and human datasets. Using loss-of-function assays, we evaluated both the phenotypic effect as well as the transcriptomic impact of several putative regulators on the differentiation process, uncovering ZFP467, HOXA4 and Nuclear Factor I A (NFIA) as novel transcriptional regulators. Of these, NFIA emerged as the regulator yielding the strongest molecular and cellular phenotypes. To examine its regulatory function, we profiled the genomic localization of NFIA, identifying it as a key early regulator of terminal brown fat cell differentiation. |
format | Online Article Text |
id | pubmed-5299609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52996092017-02-13 Dissecting the brown adipogenic regulatory network using integrative genomics Pradhan, Rachana N. Bues, Johannes J. Gardeux, Vincent Schwalie, Petra C. Alpern, Daniel Chen, Wanze Russeil, Julie Raghav, Sunil K. Deplancke, Bart Sci Rep Article Brown adipocytes regulate energy expenditure via mitochondrial uncoupling, which makes them attractive therapeutic targets to tackle obesity. However, the regulatory mechanisms underlying brown adipogenesis are still poorly understood. To address this, we profiled the transcriptome and chromatin state during mouse brown fat cell differentiation, revealing extensive gene expression changes and chromatin remodeling, especially during the first day post-differentiation. To identify putatively causal regulators, we performed transcription factor binding site overrepresentation analyses in active chromatin regions and prioritized factors based on their expression correlation with the bona-fide brown adipogenic marker Ucp1 across multiple mouse and human datasets. Using loss-of-function assays, we evaluated both the phenotypic effect as well as the transcriptomic impact of several putative regulators on the differentiation process, uncovering ZFP467, HOXA4 and Nuclear Factor I A (NFIA) as novel transcriptional regulators. Of these, NFIA emerged as the regulator yielding the strongest molecular and cellular phenotypes. To examine its regulatory function, we profiled the genomic localization of NFIA, identifying it as a key early regulator of terminal brown fat cell differentiation. Nature Publishing Group 2017-02-09 /pmc/articles/PMC5299609/ /pubmed/28181539 http://dx.doi.org/10.1038/srep42130 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Pradhan, Rachana N. Bues, Johannes J. Gardeux, Vincent Schwalie, Petra C. Alpern, Daniel Chen, Wanze Russeil, Julie Raghav, Sunil K. Deplancke, Bart Dissecting the brown adipogenic regulatory network using integrative genomics |
title | Dissecting the brown adipogenic regulatory network using integrative genomics |
title_full | Dissecting the brown adipogenic regulatory network using integrative genomics |
title_fullStr | Dissecting the brown adipogenic regulatory network using integrative genomics |
title_full_unstemmed | Dissecting the brown adipogenic regulatory network using integrative genomics |
title_short | Dissecting the brown adipogenic regulatory network using integrative genomics |
title_sort | dissecting the brown adipogenic regulatory network using integrative genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299609/ https://www.ncbi.nlm.nih.gov/pubmed/28181539 http://dx.doi.org/10.1038/srep42130 |
work_keys_str_mv | AT pradhanrachanan dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT buesjohannesj dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT gardeuxvincent dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT schwaliepetrac dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT alperndaniel dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT chenwanze dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT russeiljulie dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT raghavsunilk dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics AT deplanckebart dissectingthebrownadipogenicregulatorynetworkusingintegrativegenomics |