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Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression
Reliable identification of cis regulatory elements influencing transcription remains a challenging problem in molecular bioinformatics. This is especially true for enhancer elements which are often located hundreds of kilobases from the gene promoter. High resolution DNase hypersensitivity and conne...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602893/ https://www.ncbi.nlm.nih.gov/pubmed/23519433 http://dx.doi.org/10.6026/97320630009212 |
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author | Ziemann, Mark Kaspi, Antony Lazarus, Ross El-Osta, Assam |
author_facet | Ziemann, Mark Kaspi, Antony Lazarus, Ross El-Osta, Assam |
author_sort | Ziemann, Mark |
collection | PubMed |
description | Reliable identification of cis regulatory elements influencing transcription remains a challenging problem in molecular bioinformatics. This is especially true for enhancer elements which are often located hundreds of kilobases from the gene promoter. High resolution DNase hypersensitivity and connectivity profiling by the ENCODE consortium provides evidence of millions of interacting cis-acting elements in the human genome. This prior knowledge can be incorporated into genome-wide expression analyses, in the form of gene sets sharing regulatory sequence motifs in known DNase hypersensitivity peak regions. High proportions of enrichment among the most extreme differentially transcribed genes from controlled biological experiments may suggest novel hypotheses about signalling pathways. The utility of this approach is demonstrated with the reanalysis of a microarray-derived gene expression data set through the Gene Set Enrichment Analysis pipeline, uncovering new putative distal cis elements in the context of innate immunity. The DNase Hypersensitivity Connectivity informed Motif Enrichment in Gene Expression (DHC-MEGE) method described here has the advantage of identifying distal elements such as enhancers, which are often overlooked with standard promoter motif analysis. AVAILABILITY: The DHC-MEGE shell script can be obtained from Sourceforge https://sourceforge.net/projects/dhcmege/ and the generated GMT file is attached as supplementary data. |
format | Online Article Text |
id | pubmed-3602893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-36028932013-03-21 Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression Ziemann, Mark Kaspi, Antony Lazarus, Ross El-Osta, Assam Bioinformation Bioinformatics Program Reliable identification of cis regulatory elements influencing transcription remains a challenging problem in molecular bioinformatics. This is especially true for enhancer elements which are often located hundreds of kilobases from the gene promoter. High resolution DNase hypersensitivity and connectivity profiling by the ENCODE consortium provides evidence of millions of interacting cis-acting elements in the human genome. This prior knowledge can be incorporated into genome-wide expression analyses, in the form of gene sets sharing regulatory sequence motifs in known DNase hypersensitivity peak regions. High proportions of enrichment among the most extreme differentially transcribed genes from controlled biological experiments may suggest novel hypotheses about signalling pathways. The utility of this approach is demonstrated with the reanalysis of a microarray-derived gene expression data set through the Gene Set Enrichment Analysis pipeline, uncovering new putative distal cis elements in the context of innate immunity. The DNase Hypersensitivity Connectivity informed Motif Enrichment in Gene Expression (DHC-MEGE) method described here has the advantage of identifying distal elements such as enhancers, which are often overlooked with standard promoter motif analysis. AVAILABILITY: The DHC-MEGE shell script can be obtained from Sourceforge https://sourceforge.net/projects/dhcmege/ and the generated GMT file is attached as supplementary data. Biomedical Informatics 2013-02-21 /pmc/articles/PMC3602893/ /pubmed/23519433 http://dx.doi.org/10.6026/97320630009212 Text en © 2013 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Bioinformatics Program Ziemann, Mark Kaspi, Antony Lazarus, Ross El-Osta, Assam Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression |
title | Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression |
title_full | Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression |
title_fullStr | Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression |
title_full_unstemmed | Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression |
title_short | Motif analysis in DNAse hypersensitivity regions uncovers distal cis elements associated with gene expression |
title_sort | motif analysis in dnase hypersensitivity regions uncovers distal cis elements associated with gene expression |
topic | Bioinformatics Program |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602893/ https://www.ncbi.nlm.nih.gov/pubmed/23519433 http://dx.doi.org/10.6026/97320630009212 |
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