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UniBind: maps of high-confidence direct TF-DNA interactions across nine species
BACKGROUND: Transcription factors (TFs) bind specifically to TF binding sites (TFBSs) at cis-regulatory regions to control transcription. It is critical to locate these TF-DNA interactions to understand transcriptional regulation. Efforts to predict bona fide TFBSs benefit from the availability of e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236138/ https://www.ncbi.nlm.nih.gov/pubmed/34174819 http://dx.doi.org/10.1186/s12864-021-07760-6 |
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author | Puig, Rafael Riudavets Boddie, Paul Khan, Aziz Castro-Mondragon, Jaime Abraham Mathelier, Anthony |
author_facet | Puig, Rafael Riudavets Boddie, Paul Khan, Aziz Castro-Mondragon, Jaime Abraham Mathelier, Anthony |
author_sort | Puig, Rafael Riudavets |
collection | PubMed |
description | BACKGROUND: Transcription factors (TFs) bind specifically to TF binding sites (TFBSs) at cis-regulatory regions to control transcription. It is critical to locate these TF-DNA interactions to understand transcriptional regulation. Efforts to predict bona fide TFBSs benefit from the availability of experimental data mapping DNA binding regions of TFs (chromatin immunoprecipitation followed by sequencing - ChIP-seq). RESULTS: In this study, we processed ~ 10,000 public ChIP-seq datasets from nine species to provide high-quality TFBS predictions. After quality control, it culminated with the prediction of ~ 56 million TFBSs with experimental and computational support for direct TF-DNA interactions for 644 TFs in > 1000 cell lines and tissues. These TFBSs were used to predict > 197,000 cis-regulatory modules representing clusters of binding events in the corresponding genomes. The high-quality of the TFBSs was reinforced by their evolutionary conservation, enrichment at active cis-regulatory regions, and capacity to predict combinatorial binding of TFs. Further, we confirmed that the cell type and tissue specificity of enhancer activity was correlated with the number of TFs with binding sites predicted in these regions. All the data is provided to the community through the UniBind database that can be accessed through its web-interface (https://unibind.uio.no/), a dedicated RESTful API, and as genomic tracks. Finally, we provide an enrichment tool, available as a web-service and an R package, for users to find TFs with enriched TFBSs in a set of provided genomic regions. CONCLUSIONS: UniBind is the first resource of its kind, providing the largest collection of high-confidence direct TF-DNA interactions in nine species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07760-6. |
format | Online Article Text |
id | pubmed-8236138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82361382021-06-28 UniBind: maps of high-confidence direct TF-DNA interactions across nine species Puig, Rafael Riudavets Boddie, Paul Khan, Aziz Castro-Mondragon, Jaime Abraham Mathelier, Anthony BMC Genomics Research BACKGROUND: Transcription factors (TFs) bind specifically to TF binding sites (TFBSs) at cis-regulatory regions to control transcription. It is critical to locate these TF-DNA interactions to understand transcriptional regulation. Efforts to predict bona fide TFBSs benefit from the availability of experimental data mapping DNA binding regions of TFs (chromatin immunoprecipitation followed by sequencing - ChIP-seq). RESULTS: In this study, we processed ~ 10,000 public ChIP-seq datasets from nine species to provide high-quality TFBS predictions. After quality control, it culminated with the prediction of ~ 56 million TFBSs with experimental and computational support for direct TF-DNA interactions for 644 TFs in > 1000 cell lines and tissues. These TFBSs were used to predict > 197,000 cis-regulatory modules representing clusters of binding events in the corresponding genomes. The high-quality of the TFBSs was reinforced by their evolutionary conservation, enrichment at active cis-regulatory regions, and capacity to predict combinatorial binding of TFs. Further, we confirmed that the cell type and tissue specificity of enhancer activity was correlated with the number of TFs with binding sites predicted in these regions. All the data is provided to the community through the UniBind database that can be accessed through its web-interface (https://unibind.uio.no/), a dedicated RESTful API, and as genomic tracks. Finally, we provide an enrichment tool, available as a web-service and an R package, for users to find TFs with enriched TFBSs in a set of provided genomic regions. CONCLUSIONS: UniBind is the first resource of its kind, providing the largest collection of high-confidence direct TF-DNA interactions in nine species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07760-6. BioMed Central 2021-06-26 /pmc/articles/PMC8236138/ /pubmed/34174819 http://dx.doi.org/10.1186/s12864-021-07760-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Puig, Rafael Riudavets Boddie, Paul Khan, Aziz Castro-Mondragon, Jaime Abraham Mathelier, Anthony UniBind: maps of high-confidence direct TF-DNA interactions across nine species |
title | UniBind: maps of high-confidence direct TF-DNA interactions across nine species |
title_full | UniBind: maps of high-confidence direct TF-DNA interactions across nine species |
title_fullStr | UniBind: maps of high-confidence direct TF-DNA interactions across nine species |
title_full_unstemmed | UniBind: maps of high-confidence direct TF-DNA interactions across nine species |
title_short | UniBind: maps of high-confidence direct TF-DNA interactions across nine species |
title_sort | unibind: maps of high-confidence direct tf-dna interactions across nine species |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236138/ https://www.ncbi.nlm.nih.gov/pubmed/34174819 http://dx.doi.org/10.1186/s12864-021-07760-6 |
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