Cargando…
Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs
Comprehensive motif discovery under experimental conditions is critical for the global understanding of gene regulation. To generate a nearly complete list of human DNA motifs under given conditions, we employed a novel approach to de novo discover significant co-occurring DNA motifs in 349 human DN...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288161/ https://www.ncbi.nlm.nih.gov/pubmed/25505144 http://dx.doi.org/10.1093/nar/gku1261 |
_version_ | 1782351919789899776 |
---|---|
author | Zheng, Yiyu Li, Xiaoman Hu, Haiyan |
author_facet | Zheng, Yiyu Li, Xiaoman Hu, Haiyan |
author_sort | Zheng, Yiyu |
collection | PubMed |
description | Comprehensive motif discovery under experimental conditions is critical for the global understanding of gene regulation. To generate a nearly complete list of human DNA motifs under given conditions, we employed a novel approach to de novo discover significant co-occurring DNA motifs in 349 human DNase I hypersensitive site datasets. We predicted 845 to 1325 motifs in each dataset, for a total of 2684 non-redundant motifs. These 2684 motifs contained 54.02 to 75.95% of the known motifs in seven large collections including TRANSFAC. In each dataset, we also discovered 43 663 to 2 013 288 motif modules, groups of motifs with their binding sites co-occurring in a significant number of short DNA regions. Compared with known interacting transcription factors in eight resources, the predicted motif modules on average included 84.23% of known interacting motifs. We further showed new features of the predicted motifs, such as motifs enriched in proximal regions rarely overlapped with motifs enriched in distal regions, motifs enriched in 5′ distal regions were often enriched in 3′ distal regions, etc. Finally, we observed that the 2684 predicted motifs classified the cell or tissue types of the datasets with an accuracy of 81.29%. The resources generated in this study are available at http://server.cs.ucf.edu/predrem/. |
format | Online Article Text |
id | pubmed-4288161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42881612015-02-19 Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs Zheng, Yiyu Li, Xiaoman Hu, Haiyan Nucleic Acids Res Computational Biology Comprehensive motif discovery under experimental conditions is critical for the global understanding of gene regulation. To generate a nearly complete list of human DNA motifs under given conditions, we employed a novel approach to de novo discover significant co-occurring DNA motifs in 349 human DNase I hypersensitive site datasets. We predicted 845 to 1325 motifs in each dataset, for a total of 2684 non-redundant motifs. These 2684 motifs contained 54.02 to 75.95% of the known motifs in seven large collections including TRANSFAC. In each dataset, we also discovered 43 663 to 2 013 288 motif modules, groups of motifs with their binding sites co-occurring in a significant number of short DNA regions. Compared with known interacting transcription factors in eight resources, the predicted motif modules on average included 84.23% of known interacting motifs. We further showed new features of the predicted motifs, such as motifs enriched in proximal regions rarely overlapped with motifs enriched in distal regions, motifs enriched in 5′ distal regions were often enriched in 3′ distal regions, etc. Finally, we observed that the 2684 predicted motifs classified the cell or tissue types of the datasets with an accuracy of 81.29%. The resources generated in this study are available at http://server.cs.ucf.edu/predrem/. Oxford University Press 2015-01-09 2014-12-10 /pmc/articles/PMC4288161/ /pubmed/25505144 http://dx.doi.org/10.1093/nar/gku1261 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Zheng, Yiyu Li, Xiaoman Hu, Haiyan Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs |
title | Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs |
title_full | Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs |
title_fullStr | Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs |
title_full_unstemmed | Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs |
title_short | Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs |
title_sort | comprehensive discovery of dna motifs in 349 human cells and tissues reveals new features of motifs |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288161/ https://www.ncbi.nlm.nih.gov/pubmed/25505144 http://dx.doi.org/10.1093/nar/gku1261 |
work_keys_str_mv | AT zhengyiyu comprehensivediscoveryofdnamotifsin349humancellsandtissuesrevealsnewfeaturesofmotifs AT lixiaoman comprehensivediscoveryofdnamotifsin349humancellsandtissuesrevealsnewfeaturesofmotifs AT huhaiyan comprehensivediscoveryofdnamotifsin349humancellsandtissuesrevealsnewfeaturesofmotifs |