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Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency

Temporal data on gene expression and context-specific open chromatin states can improve identification of key transcription factors (TFs) and the gene regulatory networks (GRNs) controlling cellular differentiation. However, their integration remains challenging. Here, we delineate a general approac...

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Autores principales: Gérard, Deborah, Schmidt, Florian, Ginolhac, Aurélien, Schmitz, Martine, Halder, Rashi, Ebert, Peter, Schulz, Marcel H, Sauter, Thomas, Sinkkonen, Lasse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380961/
https://www.ncbi.nlm.nih.gov/pubmed/30544251
http://dx.doi.org/10.1093/nar/gky1240
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author Gérard, Deborah
Schmidt, Florian
Ginolhac, Aurélien
Schmitz, Martine
Halder, Rashi
Ebert, Peter
Schulz, Marcel H
Sauter, Thomas
Sinkkonen, Lasse
author_facet Gérard, Deborah
Schmidt, Florian
Ginolhac, Aurélien
Schmitz, Martine
Halder, Rashi
Ebert, Peter
Schulz, Marcel H
Sauter, Thomas
Sinkkonen, Lasse
author_sort Gérard, Deborah
collection PubMed
description Temporal data on gene expression and context-specific open chromatin states can improve identification of key transcription factors (TFs) and the gene regulatory networks (GRNs) controlling cellular differentiation. However, their integration remains challenging. Here, we delineate a general approach for data-driven and unbiased identification of key TFs and dynamic GRNs, called EPIC-DREM. We generated time-series transcriptomic and epigenomic profiles during differentiation of mouse multipotent bone marrow stromal cell line (ST2) toward adipocytes and osteoblasts. Using our novel approach we constructed time-resolved GRNs for both lineages and identifed the shared TFs involved in both differentiation processes. To take an alternative approach to prioritize the identified shared regulators, we mapped dynamic super-enhancers in both lineages and associated them to target genes with correlated expression profiles. The combination of the two approaches identified aryl hydrocarbon receptor (AHR) and Glis family zinc finger 1 (GLIS1) as mesenchymal key TFs controlled by dynamic cell type-specific super-enhancers that become repressed in both lineages. AHR and GLIS1 control differentiation-induced genes and their overexpression can inhibit the lineage commitment of the multipotent bone marrow-derived ST2 cells.
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spelling pubmed-63809612019-02-22 Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency Gérard, Deborah Schmidt, Florian Ginolhac, Aurélien Schmitz, Martine Halder, Rashi Ebert, Peter Schulz, Marcel H Sauter, Thomas Sinkkonen, Lasse Nucleic Acids Res Computational Biology Temporal data on gene expression and context-specific open chromatin states can improve identification of key transcription factors (TFs) and the gene regulatory networks (GRNs) controlling cellular differentiation. However, their integration remains challenging. Here, we delineate a general approach for data-driven and unbiased identification of key TFs and dynamic GRNs, called EPIC-DREM. We generated time-series transcriptomic and epigenomic profiles during differentiation of mouse multipotent bone marrow stromal cell line (ST2) toward adipocytes and osteoblasts. Using our novel approach we constructed time-resolved GRNs for both lineages and identifed the shared TFs involved in both differentiation processes. To take an alternative approach to prioritize the identified shared regulators, we mapped dynamic super-enhancers in both lineages and associated them to target genes with correlated expression profiles. The combination of the two approaches identified aryl hydrocarbon receptor (AHR) and Glis family zinc finger 1 (GLIS1) as mesenchymal key TFs controlled by dynamic cell type-specific super-enhancers that become repressed in both lineages. AHR and GLIS1 control differentiation-induced genes and their overexpression can inhibit the lineage commitment of the multipotent bone marrow-derived ST2 cells. Oxford University Press 2019-02-20 2018-12-14 /pmc/articles/PMC6380961/ /pubmed/30544251 http://dx.doi.org/10.1093/nar/gky1240 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Gérard, Deborah
Schmidt, Florian
Ginolhac, Aurélien
Schmitz, Martine
Halder, Rashi
Ebert, Peter
Schulz, Marcel H
Sauter, Thomas
Sinkkonen, Lasse
Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency
title Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency
title_full Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency
title_fullStr Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency
title_full_unstemmed Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency
title_short Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency
title_sort temporal enhancer profiling of parallel lineages identifies ahr and glis1 as regulators of mesenchymal multipotency
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380961/
https://www.ncbi.nlm.nih.gov/pubmed/30544251
http://dx.doi.org/10.1093/nar/gky1240
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