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Retrospective analysis of enhancer activity and transcriptome history

Cell state changes in development and disease are controlled by gene regulatory networks, the dynamics of which are difficult to track in real time. In this study, we used an inducible DCM–RNA polymerase subunit b fusion protein which labels active genes and enhancers with a bacterial methylation ma...

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Autores principales: Boers, Ruben, Boers, Joachim, Tan, Beatrice, van Leeuwen, Marieke E., Wassenaar, Evelyne, Sanchez, Erlantz Gonzalez, Sleddens, Esther, Tenhagen, Yasha, Mulugeta, Eskeatnaf, Laven, Joop, Creyghton, Menno, Baarends, Willy, van IJcken, Wilfred F. J., Gribnau, Joost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635829/
https://www.ncbi.nlm.nih.gov/pubmed/36823354
http://dx.doi.org/10.1038/s41587-023-01683-1
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author Boers, Ruben
Boers, Joachim
Tan, Beatrice
van Leeuwen, Marieke E.
Wassenaar, Evelyne
Sanchez, Erlantz Gonzalez
Sleddens, Esther
Tenhagen, Yasha
Mulugeta, Eskeatnaf
Laven, Joop
Creyghton, Menno
Baarends, Willy
van IJcken, Wilfred F. J.
Gribnau, Joost
author_facet Boers, Ruben
Boers, Joachim
Tan, Beatrice
van Leeuwen, Marieke E.
Wassenaar, Evelyne
Sanchez, Erlantz Gonzalez
Sleddens, Esther
Tenhagen, Yasha
Mulugeta, Eskeatnaf
Laven, Joop
Creyghton, Menno
Baarends, Willy
van IJcken, Wilfred F. J.
Gribnau, Joost
author_sort Boers, Ruben
collection PubMed
description Cell state changes in development and disease are controlled by gene regulatory networks, the dynamics of which are difficult to track in real time. In this study, we used an inducible DCM–RNA polymerase subunit b fusion protein which labels active genes and enhancers with a bacterial methylation mark that does not affect gene transcription and is propagated in S-phase. This DCM–RNA polymerase fusion protein enables transcribed genes and active enhancers to be tagged and then examined at later stages of development or differentiation. We apply this DCM-time machine (DCM-TM) technology to study intestinal homeostasis, revealing rapid and coordinated activation of enhancers and nearby genes during enterocyte differentiation. We provide new insights in absorptive–secretory lineage decision-making in intestinal stem cell (ISC) differentiation and show that ISCs retain a unique chromatin landscape required to maintain ISC identity and delineate future expression of differentiation-associated genes. DCM-TM has wide applicability in tracking cell states, providing new insights in the regulatory networks underlying cell state changes.
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spelling pubmed-106358292023-11-15 Retrospective analysis of enhancer activity and transcriptome history Boers, Ruben Boers, Joachim Tan, Beatrice van Leeuwen, Marieke E. Wassenaar, Evelyne Sanchez, Erlantz Gonzalez Sleddens, Esther Tenhagen, Yasha Mulugeta, Eskeatnaf Laven, Joop Creyghton, Menno Baarends, Willy van IJcken, Wilfred F. J. Gribnau, Joost Nat Biotechnol Article Cell state changes in development and disease are controlled by gene regulatory networks, the dynamics of which are difficult to track in real time. In this study, we used an inducible DCM–RNA polymerase subunit b fusion protein which labels active genes and enhancers with a bacterial methylation mark that does not affect gene transcription and is propagated in S-phase. This DCM–RNA polymerase fusion protein enables transcribed genes and active enhancers to be tagged and then examined at later stages of development or differentiation. We apply this DCM-time machine (DCM-TM) technology to study intestinal homeostasis, revealing rapid and coordinated activation of enhancers and nearby genes during enterocyte differentiation. We provide new insights in absorptive–secretory lineage decision-making in intestinal stem cell (ISC) differentiation and show that ISCs retain a unique chromatin landscape required to maintain ISC identity and delineate future expression of differentiation-associated genes. DCM-TM has wide applicability in tracking cell states, providing new insights in the regulatory networks underlying cell state changes. Nature Publishing Group US 2023-02-23 2023 /pmc/articles/PMC10635829/ /pubmed/36823354 http://dx.doi.org/10.1038/s41587-023-01683-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Boers, Ruben
Boers, Joachim
Tan, Beatrice
van Leeuwen, Marieke E.
Wassenaar, Evelyne
Sanchez, Erlantz Gonzalez
Sleddens, Esther
Tenhagen, Yasha
Mulugeta, Eskeatnaf
Laven, Joop
Creyghton, Menno
Baarends, Willy
van IJcken, Wilfred F. J.
Gribnau, Joost
Retrospective analysis of enhancer activity and transcriptome history
title Retrospective analysis of enhancer activity and transcriptome history
title_full Retrospective analysis of enhancer activity and transcriptome history
title_fullStr Retrospective analysis of enhancer activity and transcriptome history
title_full_unstemmed Retrospective analysis of enhancer activity and transcriptome history
title_short Retrospective analysis of enhancer activity and transcriptome history
title_sort retrospective analysis of enhancer activity and transcriptome history
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635829/
https://www.ncbi.nlm.nih.gov/pubmed/36823354
http://dx.doi.org/10.1038/s41587-023-01683-1
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