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Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation
Xist RNA, the master regulator of X chromosome inactivation, acts in cis to induce chromosome-wide silencing. Whilst recent studies have defined candidate silencing factors, their relative contribution to repressing different genes, and their relationship with one another is poorly understood. Here...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635394/ https://www.ncbi.nlm.nih.gov/pubmed/31311937 http://dx.doi.org/10.1038/s41467-019-11171-3 |
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author | Nesterova, Tatyana B. Wei, Guifeng Coker, Heather Pintacuda, Greta Bowness, Joseph S. Zhang, Tianyi Almeida, Mafalda Bloechl, Bianca Moindrot, Benoit Carter, Emma J. Alvarez Rodrigo, Ines Pan, Qi Bi, Ying Song, Chun-Xiao Brockdorff, Neil |
author_facet | Nesterova, Tatyana B. Wei, Guifeng Coker, Heather Pintacuda, Greta Bowness, Joseph S. Zhang, Tianyi Almeida, Mafalda Bloechl, Bianca Moindrot, Benoit Carter, Emma J. Alvarez Rodrigo, Ines Pan, Qi Bi, Ying Song, Chun-Xiao Brockdorff, Neil |
author_sort | Nesterova, Tatyana B. |
collection | PubMed |
description | Xist RNA, the master regulator of X chromosome inactivation, acts in cis to induce chromosome-wide silencing. Whilst recent studies have defined candidate silencing factors, their relative contribution to repressing different genes, and their relationship with one another is poorly understood. Here we describe a systematic analysis of Xist-mediated allelic silencing in mouse embryonic stem cell-based models. Using a machine learning approach we identify distance to the Xist locus and prior gene expression levels as key determinants of silencing efficiency. We go on to show that Spen, recruited through the Xist A-repeat, plays a central role, being critical for silencing of all except a subset of weakly expressed genes. Polycomb, recruited through the Xist B/C-repeat, also plays a key role, favouring silencing of genes with pre-existing H3K27me3 chromatin. LBR and the Rbm15/m6A-methyltransferase complex make only minor contributions to gene silencing. Together our results provide a comprehensive model for Xist-mediated chromosome silencing. |
format | Online Article Text |
id | pubmed-6635394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66353942019-07-18 Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation Nesterova, Tatyana B. Wei, Guifeng Coker, Heather Pintacuda, Greta Bowness, Joseph S. Zhang, Tianyi Almeida, Mafalda Bloechl, Bianca Moindrot, Benoit Carter, Emma J. Alvarez Rodrigo, Ines Pan, Qi Bi, Ying Song, Chun-Xiao Brockdorff, Neil Nat Commun Article Xist RNA, the master regulator of X chromosome inactivation, acts in cis to induce chromosome-wide silencing. Whilst recent studies have defined candidate silencing factors, their relative contribution to repressing different genes, and their relationship with one another is poorly understood. Here we describe a systematic analysis of Xist-mediated allelic silencing in mouse embryonic stem cell-based models. Using a machine learning approach we identify distance to the Xist locus and prior gene expression levels as key determinants of silencing efficiency. We go on to show that Spen, recruited through the Xist A-repeat, plays a central role, being critical for silencing of all except a subset of weakly expressed genes. Polycomb, recruited through the Xist B/C-repeat, also plays a key role, favouring silencing of genes with pre-existing H3K27me3 chromatin. LBR and the Rbm15/m6A-methyltransferase complex make only minor contributions to gene silencing. Together our results provide a comprehensive model for Xist-mediated chromosome silencing. Nature Publishing Group UK 2019-07-16 /pmc/articles/PMC6635394/ /pubmed/31311937 http://dx.doi.org/10.1038/s41467-019-11171-3 Text en © The Author(s) 2019 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/. |
spellingShingle | Article Nesterova, Tatyana B. Wei, Guifeng Coker, Heather Pintacuda, Greta Bowness, Joseph S. Zhang, Tianyi Almeida, Mafalda Bloechl, Bianca Moindrot, Benoit Carter, Emma J. Alvarez Rodrigo, Ines Pan, Qi Bi, Ying Song, Chun-Xiao Brockdorff, Neil Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation |
title | Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation |
title_full | Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation |
title_fullStr | Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation |
title_full_unstemmed | Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation |
title_short | Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation |
title_sort | systematic allelic analysis defines the interplay of key pathways in x chromosome inactivation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635394/ https://www.ncbi.nlm.nih.gov/pubmed/31311937 http://dx.doi.org/10.1038/s41467-019-11171-3 |
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