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Considerations and caveats for analyzing chromatin compartments

Genomes are organized into nuclear compartments, separating active from inactive chromatin. Chromatin compartments are readily visible in a large number of species by experiments that map chromatin conformation genome-wide. When analyzing these maps, a common step is the identification of genomic in...

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Autores principales: Kalluchi, Achyuth, Harris, Hannah L., Reznicek, Timothy E., Rowley, M. Jordan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113542/
https://www.ncbi.nlm.nih.gov/pubmed/37091873
http://dx.doi.org/10.3389/fmolb.2023.1168562
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author Kalluchi, Achyuth
Harris, Hannah L.
Reznicek, Timothy E.
Rowley, M. Jordan
author_facet Kalluchi, Achyuth
Harris, Hannah L.
Reznicek, Timothy E.
Rowley, M. Jordan
author_sort Kalluchi, Achyuth
collection PubMed
description Genomes are organized into nuclear compartments, separating active from inactive chromatin. Chromatin compartments are readily visible in a large number of species by experiments that map chromatin conformation genome-wide. When analyzing these maps, a common step is the identification of genomic intervals that interact within A (active) and B (inactive) compartments. It has also become increasingly common to identify and analyze subcompartments. We review different strategies to identify A/B and subcompartment intervals, including a discussion of various machine-learning approaches to predict these features. We then discuss the strengths and limitations of current strategies and examine how these aspects of analysis may have impacted our understanding of chromatin compartments.
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spelling pubmed-101135422023-04-20 Considerations and caveats for analyzing chromatin compartments Kalluchi, Achyuth Harris, Hannah L. Reznicek, Timothy E. Rowley, M. Jordan Front Mol Biosci Molecular Biosciences Genomes are organized into nuclear compartments, separating active from inactive chromatin. Chromatin compartments are readily visible in a large number of species by experiments that map chromatin conformation genome-wide. When analyzing these maps, a common step is the identification of genomic intervals that interact within A (active) and B (inactive) compartments. It has also become increasingly common to identify and analyze subcompartments. We review different strategies to identify A/B and subcompartment intervals, including a discussion of various machine-learning approaches to predict these features. We then discuss the strengths and limitations of current strategies and examine how these aspects of analysis may have impacted our understanding of chromatin compartments. Frontiers Media S.A. 2023-04-05 /pmc/articles/PMC10113542/ /pubmed/37091873 http://dx.doi.org/10.3389/fmolb.2023.1168562 Text en Copyright © 2023 Kalluchi, Harris, Reznicek and Rowley. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Kalluchi, Achyuth
Harris, Hannah L.
Reznicek, Timothy E.
Rowley, M. Jordan
Considerations and caveats for analyzing chromatin compartments
title Considerations and caveats for analyzing chromatin compartments
title_full Considerations and caveats for analyzing chromatin compartments
title_fullStr Considerations and caveats for analyzing chromatin compartments
title_full_unstemmed Considerations and caveats for analyzing chromatin compartments
title_short Considerations and caveats for analyzing chromatin compartments
title_sort considerations and caveats for analyzing chromatin compartments
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113542/
https://www.ncbi.nlm.nih.gov/pubmed/37091873
http://dx.doi.org/10.3389/fmolb.2023.1168562
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