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TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites
TFBSshape (https://tfbsshape.usc.edu) is a motif database for analyzing structural profiles of transcription factor binding sites (TFBSs). The main rationale for this database is to be able to derive mechanistic insights in protein–DNA readout modes from sequencing data without available structures....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145579/ https://www.ncbi.nlm.nih.gov/pubmed/31665425 http://dx.doi.org/10.1093/nar/gkz970 |
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author | Chiu, Tsu-Pei Xin, Beibei Markarian, Nicholas Wang, Yingfei Rohs, Remo |
author_facet | Chiu, Tsu-Pei Xin, Beibei Markarian, Nicholas Wang, Yingfei Rohs, Remo |
author_sort | Chiu, Tsu-Pei |
collection | PubMed |
description | TFBSshape (https://tfbsshape.usc.edu) is a motif database for analyzing structural profiles of transcription factor binding sites (TFBSs). The main rationale for this database is to be able to derive mechanistic insights in protein–DNA readout modes from sequencing data without available structures. We extended the quantity and dimensionality of TFBSshape, from mostly in vitro to in vivo binding and from unmethylated to methylated DNA. This new release of TFBSshape improves its functionality and launches a responsive and user-friendly web interface for easy access to the data. The current expansion includes new entries from the most recent collections of transcription factors (TFs) from the JASPAR and UniPROBE databases, methylated TFBSs derived from in vitro high-throughput EpiSELEX-seq binding assays and in vivo methylated TFBSs from the MeDReaders database. TFBSshape content has increased to 2428 structural profiles for 1900 TFs from 39 different species. The structural profiles for each TFBS entry now include 13 shape features and minor groove electrostatic potential for standard DNA and four shape features for methylated DNA. We improved the flexibility and accuracy for the shape-based alignment of TFBSs and designed new tools to compare methylated and unmethylated structural profiles of TFs and methods to derive DNA shape-preserving nucleotide mutations in TFBSs. |
format | Online Article Text |
id | pubmed-7145579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71455792020-04-13 TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites Chiu, Tsu-Pei Xin, Beibei Markarian, Nicholas Wang, Yingfei Rohs, Remo Nucleic Acids Res Database Issue TFBSshape (https://tfbsshape.usc.edu) is a motif database for analyzing structural profiles of transcription factor binding sites (TFBSs). The main rationale for this database is to be able to derive mechanistic insights in protein–DNA readout modes from sequencing data without available structures. We extended the quantity and dimensionality of TFBSshape, from mostly in vitro to in vivo binding and from unmethylated to methylated DNA. This new release of TFBSshape improves its functionality and launches a responsive and user-friendly web interface for easy access to the data. The current expansion includes new entries from the most recent collections of transcription factors (TFs) from the JASPAR and UniPROBE databases, methylated TFBSs derived from in vitro high-throughput EpiSELEX-seq binding assays and in vivo methylated TFBSs from the MeDReaders database. TFBSshape content has increased to 2428 structural profiles for 1900 TFs from 39 different species. The structural profiles for each TFBS entry now include 13 shape features and minor groove electrostatic potential for standard DNA and four shape features for methylated DNA. We improved the flexibility and accuracy for the shape-based alignment of TFBSs and designed new tools to compare methylated and unmethylated structural profiles of TFs and methods to derive DNA shape-preserving nucleotide mutations in TFBSs. Oxford University Press 2020-01-08 2019-10-30 /pmc/articles/PMC7145579/ /pubmed/31665425 http://dx.doi.org/10.1093/nar/gkz970 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 | Database Issue Chiu, Tsu-Pei Xin, Beibei Markarian, Nicholas Wang, Yingfei Rohs, Remo TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites |
title | TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites |
title_full | TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites |
title_fullStr | TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites |
title_full_unstemmed | TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites |
title_short | TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites |
title_sort | tfbsshape: an expanded motif database for dna shape features of transcription factor binding sites |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145579/ https://www.ncbi.nlm.nih.gov/pubmed/31665425 http://dx.doi.org/10.1093/nar/gkz970 |
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