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Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types

BACKGROUND: Identification and analysis of recurrent combinatorial patterns of multiple chromatin modifications provide invaluable information for understanding epigenetic regulations. Furthermore, as more data becomes available, it is computationally expensive and unnecessary to study combinatorial...

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Autores principales: Meng, Nan, Machiraju, Raghu, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259941/
https://www.ncbi.nlm.nih.gov/pubmed/28155643
http://dx.doi.org/10.1186/s12859-016-1346-5
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author Meng, Nan
Machiraju, Raghu
Huang, Kun
author_facet Meng, Nan
Machiraju, Raghu
Huang, Kun
author_sort Meng, Nan
collection PubMed
description BACKGROUND: Identification and analysis of recurrent combinatorial patterns of multiple chromatin modifications provide invaluable information for understanding epigenetic regulations. Furthermore, as more data becomes available, it is computationally expensive and unnecessary to study combinatorial patterns of all modifications. METHODS: A novel framework is proposed to investigate recurrent combinatorial patterns of a subset of quantitatively selected chromatin modifications. The framework is based on heirarchical clustering and selects subsets of chromatin modifications that form distinct recurrent patterns at regulatory regions. The identified recurrent combinatorial patterns can be further utilized to discover novel regulatory regions. Data is in the form of genome wide maps of histone acetylations, methylations, and histone variant of human skeletal muscular and B-lymphocyte cells both derived from the ENCODE project. RESULTS: A case study conducted at promoter regions is presented: four out of twelve chromatin modifications were selected, eight different promoter states were identified and the identified patterns of active promoters were further utilized to discover novel promoter regions. Several previously un-annotated promoters were discovered, further investigations confirm their promoter functions. CONCLUSIONS: This framework is approproiately general and could lead to better understanding of epigenetic regulations by discovering previously unknown regulatory regions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1346-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-52599412017-01-26 Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types Meng, Nan Machiraju, Raghu Huang, Kun BMC Bioinformatics Research BACKGROUND: Identification and analysis of recurrent combinatorial patterns of multiple chromatin modifications provide invaluable information for understanding epigenetic regulations. Furthermore, as more data becomes available, it is computationally expensive and unnecessary to study combinatorial patterns of all modifications. METHODS: A novel framework is proposed to investigate recurrent combinatorial patterns of a subset of quantitatively selected chromatin modifications. The framework is based on heirarchical clustering and selects subsets of chromatin modifications that form distinct recurrent patterns at regulatory regions. The identified recurrent combinatorial patterns can be further utilized to discover novel regulatory regions. Data is in the form of genome wide maps of histone acetylations, methylations, and histone variant of human skeletal muscular and B-lymphocyte cells both derived from the ENCODE project. RESULTS: A case study conducted at promoter regions is presented: four out of twelve chromatin modifications were selected, eight different promoter states were identified and the identified patterns of active promoters were further utilized to discover novel promoter regions. Several previously un-annotated promoters were discovered, further investigations confirm their promoter functions. CONCLUSIONS: This framework is approproiately general and could lead to better understanding of epigenetic regulations by discovering previously unknown regulatory regions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1346-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-23 /pmc/articles/PMC5259941/ /pubmed/28155643 http://dx.doi.org/10.1186/s12859-016-1346-5 Text en © The Author(s). 2016 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
Meng, Nan
Machiraju, Raghu
Huang, Kun
Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
title Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
title_full Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
title_fullStr Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
title_full_unstemmed Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
title_short Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
title_sort identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259941/
https://www.ncbi.nlm.nih.gov/pubmed/28155643
http://dx.doi.org/10.1186/s12859-016-1346-5
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