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Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise
Scaffold/matrix attachment regions (S/MARs) are DNA elements that serve to compartmentalize the chromatin into structural and functional domains. These elements are involved in control of gene expression which governs the phenotype and also plays role in disease biology. Therefore, genome-wide under...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698742/ https://www.ncbi.nlm.nih.gov/pubmed/31265077 http://dx.doi.org/10.1093/nar/gkz562 |
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author | Narwade, Nitin Patel, Sonal Alam, Aftab Chattopadhyay, Samit Mittal, Smriti Kulkarni, Abhijeet |
author_facet | Narwade, Nitin Patel, Sonal Alam, Aftab Chattopadhyay, Samit Mittal, Smriti Kulkarni, Abhijeet |
author_sort | Narwade, Nitin |
collection | PubMed |
description | Scaffold/matrix attachment regions (S/MARs) are DNA elements that serve to compartmentalize the chromatin into structural and functional domains. These elements are involved in control of gene expression which governs the phenotype and also plays role in disease biology. Therefore, genome-wide understanding of these elements holds great therapeutic promise. Several attempts have been made toward identification of S/MARs in genomes of various organisms including human. However, a comprehensive genome-wide map of human S/MARs is yet not available. Toward this objective, ChIP-Seq data of 14 S/MAR binding proteins were analyzed and the binding site coordinates of these proteins were used to prepare a non-redundant S/MAR dataset of human genome. Along with co-ordinate (location) details of S/MARs, the dataset also revealed details of S/MAR features, namely, length, inter-SMAR length (the chromatin loop size), nucleotide repeats, motif abundance, chromosomal distribution and genomic context. S/MARs identified in present study and their subsequent analysis also suggests that these elements act as hotspots for integration of retroviruses. Therefore, these data will help toward better understanding of genome functioning and designing effective anti-viral therapeutics. In order to facilitate user friendly browsing and retrieval of the data obtained in present study, a web interface, MARome (http://bioinfo.net.in/MARome), has been developed. |
format | Online Article Text |
id | pubmed-6698742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66987422019-08-22 Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise Narwade, Nitin Patel, Sonal Alam, Aftab Chattopadhyay, Samit Mittal, Smriti Kulkarni, Abhijeet Nucleic Acids Res Computational Biology Scaffold/matrix attachment regions (S/MARs) are DNA elements that serve to compartmentalize the chromatin into structural and functional domains. These elements are involved in control of gene expression which governs the phenotype and also plays role in disease biology. Therefore, genome-wide understanding of these elements holds great therapeutic promise. Several attempts have been made toward identification of S/MARs in genomes of various organisms including human. However, a comprehensive genome-wide map of human S/MARs is yet not available. Toward this objective, ChIP-Seq data of 14 S/MAR binding proteins were analyzed and the binding site coordinates of these proteins were used to prepare a non-redundant S/MAR dataset of human genome. Along with co-ordinate (location) details of S/MARs, the dataset also revealed details of S/MAR features, namely, length, inter-SMAR length (the chromatin loop size), nucleotide repeats, motif abundance, chromosomal distribution and genomic context. S/MARs identified in present study and their subsequent analysis also suggests that these elements act as hotspots for integration of retroviruses. Therefore, these data will help toward better understanding of genome functioning and designing effective anti-viral therapeutics. In order to facilitate user friendly browsing and retrieval of the data obtained in present study, a web interface, MARome (http://bioinfo.net.in/MARome), has been developed. Oxford University Press 2019-08-22 2019-07-02 /pmc/articles/PMC6698742/ /pubmed/31265077 http://dx.doi.org/10.1093/nar/gkz562 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Narwade, Nitin Patel, Sonal Alam, Aftab Chattopadhyay, Samit Mittal, Smriti Kulkarni, Abhijeet Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
title | Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
title_full | Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
title_fullStr | Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
title_full_unstemmed | Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
title_short | Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
title_sort | mapping of scaffold/matrix attachment regions in human genome: a data mining exercise |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698742/ https://www.ncbi.nlm.nih.gov/pubmed/31265077 http://dx.doi.org/10.1093/nar/gkz562 |
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