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RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding
Gene regulatory regions contain short and degenerated DNA binding sites recognized by transcription factors (TFBS). When TFBS harbor SNPs, the DNA binding site may be affected, thereby altering the transcriptional regulation of the target genes. Such regulatory SNPs have been implicated as causal va...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906655/ https://www.ncbi.nlm.nih.gov/pubmed/31871587 http://dx.doi.org/10.1016/j.csbj.2019.09.009 |
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author | Santana-Garcia, Walter Rocha-Acevedo, Maria Ramirez-Navarro, Lucia Mbouamboua, Yvon Thieffry, Denis Thomas-Chollier, Morgane Contreras-Moreira, Bruno van Helden, Jacques Medina-Rivera, Alejandra |
author_facet | Santana-Garcia, Walter Rocha-Acevedo, Maria Ramirez-Navarro, Lucia Mbouamboua, Yvon Thieffry, Denis Thomas-Chollier, Morgane Contreras-Moreira, Bruno van Helden, Jacques Medina-Rivera, Alejandra |
author_sort | Santana-Garcia, Walter |
collection | PubMed |
description | Gene regulatory regions contain short and degenerated DNA binding sites recognized by transcription factors (TFBS). When TFBS harbor SNPs, the DNA binding site may be affected, thereby altering the transcriptional regulation of the target genes. Such regulatory SNPs have been implicated as causal variants in Genome-Wide Association Study (GWAS) studies. In this study, we describe improved versions of the programs Variation-tools designed to predict regulatory variants, and present four case studies to illustrate their usage and applications. In brief, Variation-tools facilitate i) obtaining variation information, ii) interconversion of variation file formats, iii) retrieval of sequences surrounding variants, and iv) calculating the change on predicted transcription factor affinity scores between alleles, using motif scanning approaches. Notably, the tools support the analysis of haplotypes. The tools are included within the well-maintained suite Regulatory Sequence Analysis Tools (RSAT, http://rsat.eu), and accessible through a web interface that currently enables analysis of five metazoa and ten plant genomes. Variation-tools can also be used in command-line with any locally-installed Ensembl genome. Users can input personal collections of variants and motifs, providing flexibility in the analysis. |
format | Online Article Text |
id | pubmed-6906655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-69066552019-12-23 RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding Santana-Garcia, Walter Rocha-Acevedo, Maria Ramirez-Navarro, Lucia Mbouamboua, Yvon Thieffry, Denis Thomas-Chollier, Morgane Contreras-Moreira, Bruno van Helden, Jacques Medina-Rivera, Alejandra Comput Struct Biotechnol J Research Article Gene regulatory regions contain short and degenerated DNA binding sites recognized by transcription factors (TFBS). When TFBS harbor SNPs, the DNA binding site may be affected, thereby altering the transcriptional regulation of the target genes. Such regulatory SNPs have been implicated as causal variants in Genome-Wide Association Study (GWAS) studies. In this study, we describe improved versions of the programs Variation-tools designed to predict regulatory variants, and present four case studies to illustrate their usage and applications. In brief, Variation-tools facilitate i) obtaining variation information, ii) interconversion of variation file formats, iii) retrieval of sequences surrounding variants, and iv) calculating the change on predicted transcription factor affinity scores between alleles, using motif scanning approaches. Notably, the tools support the analysis of haplotypes. The tools are included within the well-maintained suite Regulatory Sequence Analysis Tools (RSAT, http://rsat.eu), and accessible through a web interface that currently enables analysis of five metazoa and ten plant genomes. Variation-tools can also be used in command-line with any locally-installed Ensembl genome. Users can input personal collections of variants and motifs, providing flexibility in the analysis. Research Network of Computational and Structural Biotechnology 2019-11-07 /pmc/articles/PMC6906655/ /pubmed/31871587 http://dx.doi.org/10.1016/j.csbj.2019.09.009 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Santana-Garcia, Walter Rocha-Acevedo, Maria Ramirez-Navarro, Lucia Mbouamboua, Yvon Thieffry, Denis Thomas-Chollier, Morgane Contreras-Moreira, Bruno van Helden, Jacques Medina-Rivera, Alejandra RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
title | RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
title_full | RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
title_fullStr | RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
title_full_unstemmed | RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
title_short | RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
title_sort | rsat variation-tools: an accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906655/ https://www.ncbi.nlm.nih.gov/pubmed/31871587 http://dx.doi.org/10.1016/j.csbj.2019.09.009 |
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