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Characterization of universal features of partially methylated domains across tissues and species

BACKGROUND: Partially methylated domains (PMDs) are a hallmark of epigenomes in reproducible and specific biological contexts, including cancer cells, the placenta, and cultured cell lines. Existing methods for deciding whether PMDs exist in a sample, as well as their identification, are few, often...

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Autores principales: Decato, Benjamin E., Qu, Jianghan, Ji, Xiaojing, Wagenblast, Elvin, Knott, Simon R. V., Hannon, Gregory J., Smith, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532633/
https://www.ncbi.nlm.nih.gov/pubmed/33008446
http://dx.doi.org/10.1186/s13072-020-00363-7
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author Decato, Benjamin E.
Qu, Jianghan
Ji, Xiaojing
Wagenblast, Elvin
Knott, Simon R. V.
Hannon, Gregory J.
Smith, Andrew D.
author_facet Decato, Benjamin E.
Qu, Jianghan
Ji, Xiaojing
Wagenblast, Elvin
Knott, Simon R. V.
Hannon, Gregory J.
Smith, Andrew D.
author_sort Decato, Benjamin E.
collection PubMed
description BACKGROUND: Partially methylated domains (PMDs) are a hallmark of epigenomes in reproducible and specific biological contexts, including cancer cells, the placenta, and cultured cell lines. Existing methods for deciding whether PMDs exist in a sample, as well as their identification, are few, often tailored to specific biological questions, and require high coverage samples for accurate identification. RESULTS: In this study, we outline a set of axioms that take a step towards a functional definition for PMDs, describe an improved method for comparable PMD detection across samples with substantially differing sequencing depths, and refine the decision criteria for whether a sample contains PMDs using a data-driven approach. Applying our method to 267 methylomes from 7 species, we corroborated recent results regarding the general association between replication timing and PMD state, and report identification of several reproducibly “escapee” genes within late-replicating domains that escape the reduced expression and hypomethylation of their immediate genomic neighborhood. We also explored the discordant PMD state of orthologous genes between human and mouse, and observed a directional association of PMD state with gene expression and local gene density. CONCLUSIONS: Our improved method makes low sequencing depth, population-level studies of PMD variation possible and our results further refine the model of PMD formation as one where sequence context and regional epigenomic features both play a role in gradual genome-wide hypomethylation.
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spelling pubmed-75326332020-10-05 Characterization of universal features of partially methylated domains across tissues and species Decato, Benjamin E. Qu, Jianghan Ji, Xiaojing Wagenblast, Elvin Knott, Simon R. V. Hannon, Gregory J. Smith, Andrew D. Epigenetics Chromatin Research BACKGROUND: Partially methylated domains (PMDs) are a hallmark of epigenomes in reproducible and specific biological contexts, including cancer cells, the placenta, and cultured cell lines. Existing methods for deciding whether PMDs exist in a sample, as well as their identification, are few, often tailored to specific biological questions, and require high coverage samples for accurate identification. RESULTS: In this study, we outline a set of axioms that take a step towards a functional definition for PMDs, describe an improved method for comparable PMD detection across samples with substantially differing sequencing depths, and refine the decision criteria for whether a sample contains PMDs using a data-driven approach. Applying our method to 267 methylomes from 7 species, we corroborated recent results regarding the general association between replication timing and PMD state, and report identification of several reproducibly “escapee” genes within late-replicating domains that escape the reduced expression and hypomethylation of their immediate genomic neighborhood. We also explored the discordant PMD state of orthologous genes between human and mouse, and observed a directional association of PMD state with gene expression and local gene density. CONCLUSIONS: Our improved method makes low sequencing depth, population-level studies of PMD variation possible and our results further refine the model of PMD formation as one where sequence context and regional epigenomic features both play a role in gradual genome-wide hypomethylation. BioMed Central 2020-10-02 /pmc/articles/PMC7532633/ /pubmed/33008446 http://dx.doi.org/10.1186/s13072-020-00363-7 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Decato, Benjamin E.
Qu, Jianghan
Ji, Xiaojing
Wagenblast, Elvin
Knott, Simon R. V.
Hannon, Gregory J.
Smith, Andrew D.
Characterization of universal features of partially methylated domains across tissues and species
title Characterization of universal features of partially methylated domains across tissues and species
title_full Characterization of universal features of partially methylated domains across tissues and species
title_fullStr Characterization of universal features of partially methylated domains across tissues and species
title_full_unstemmed Characterization of universal features of partially methylated domains across tissues and species
title_short Characterization of universal features of partially methylated domains across tissues and species
title_sort characterization of universal features of partially methylated domains across tissues and species
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532633/
https://www.ncbi.nlm.nih.gov/pubmed/33008446
http://dx.doi.org/10.1186/s13072-020-00363-7
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