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The distributions of protein coding genes within chromatin domains in relation to human disease

BACKGROUND: Our understanding of the nuclear chromatin structure has increased hugely during the last years mainly as a consequence of the advances in chromatin conformation capture methods like Hi-C. The unprecedented resolution of genome-wide interaction maps shows functional consequences that ext...

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Autores principales: Muro, Enrique M., Ibn-Salem, Jonas, Andrade-Navarro, Miguel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894242/
https://www.ncbi.nlm.nih.gov/pubmed/31805995
http://dx.doi.org/10.1186/s13072-019-0317-2
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author Muro, Enrique M.
Ibn-Salem, Jonas
Andrade-Navarro, Miguel A.
author_facet Muro, Enrique M.
Ibn-Salem, Jonas
Andrade-Navarro, Miguel A.
author_sort Muro, Enrique M.
collection PubMed
description BACKGROUND: Our understanding of the nuclear chromatin structure has increased hugely during the last years mainly as a consequence of the advances in chromatin conformation capture methods like Hi-C. The unprecedented resolution of genome-wide interaction maps shows functional consequences that extend the initial thought of an efficient DNA packaging mechanism: gene regulation, DNA repair, chromosomal translocations and evolutionary rearrangements seem to be only the peak of the iceberg. One key concept emerging from this research is the topologically associating domains (TADs) whose functional role in gene regulation and their association with disease is not fully untangled. RESULTS: We report that the lower the number of protein coding genes inside TADs, the higher the tendency of those genes to be associated with disease (p-value = 4 × [Formula: see text] ). Moreover, housekeeping genes are less associated with disease than other genes. Accordingly, they are depleted in TADs containing less than three protein coding genes (p-value = 3.9 × [Formula: see text] ). We observed that TADs with higher ratios of enhancers versus genes contained higher numbers of disease-associated genes. We interpret these results as an indication that sharing enhancers among genes reduces their involvement in disease. Larger TADs would have more chances to accommodate many genes and select for enhancer sharing along evolution. CONCLUSIONS: Genes associated with human disease do not distribute randomly over the TADs. Our observations suggest general rules that confer functional stability to TADs, adding more evidence to the role of TADs as regulatory units.
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spelling pubmed-68942422019-12-11 The distributions of protein coding genes within chromatin domains in relation to human disease Muro, Enrique M. Ibn-Salem, Jonas Andrade-Navarro, Miguel A. Epigenetics Chromatin Research BACKGROUND: Our understanding of the nuclear chromatin structure has increased hugely during the last years mainly as a consequence of the advances in chromatin conformation capture methods like Hi-C. The unprecedented resolution of genome-wide interaction maps shows functional consequences that extend the initial thought of an efficient DNA packaging mechanism: gene regulation, DNA repair, chromosomal translocations and evolutionary rearrangements seem to be only the peak of the iceberg. One key concept emerging from this research is the topologically associating domains (TADs) whose functional role in gene regulation and their association with disease is not fully untangled. RESULTS: We report that the lower the number of protein coding genes inside TADs, the higher the tendency of those genes to be associated with disease (p-value = 4 × [Formula: see text] ). Moreover, housekeeping genes are less associated with disease than other genes. Accordingly, they are depleted in TADs containing less than three protein coding genes (p-value = 3.9 × [Formula: see text] ). We observed that TADs with higher ratios of enhancers versus genes contained higher numbers of disease-associated genes. We interpret these results as an indication that sharing enhancers among genes reduces their involvement in disease. Larger TADs would have more chances to accommodate many genes and select for enhancer sharing along evolution. CONCLUSIONS: Genes associated with human disease do not distribute randomly over the TADs. Our observations suggest general rules that confer functional stability to TADs, adding more evidence to the role of TADs as regulatory units. BioMed Central 2019-12-05 /pmc/articles/PMC6894242/ /pubmed/31805995 http://dx.doi.org/10.1186/s13072-019-0317-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Muro, Enrique M.
Ibn-Salem, Jonas
Andrade-Navarro, Miguel A.
The distributions of protein coding genes within chromatin domains in relation to human disease
title The distributions of protein coding genes within chromatin domains in relation to human disease
title_full The distributions of protein coding genes within chromatin domains in relation to human disease
title_fullStr The distributions of protein coding genes within chromatin domains in relation to human disease
title_full_unstemmed The distributions of protein coding genes within chromatin domains in relation to human disease
title_short The distributions of protein coding genes within chromatin domains in relation to human disease
title_sort distributions of protein coding genes within chromatin domains in relation to human disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894242/
https://www.ncbi.nlm.nih.gov/pubmed/31805995
http://dx.doi.org/10.1186/s13072-019-0317-2
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