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TF-COMB – Discovering grammar of transcription factor binding sites
Cooperativity between transcription factors is important to regulate target gene expression. In particular, the binding grammar of TFs in relation to each other, as well as in the context of other genomic elements, is crucial for TF functionality. However, tools to easily uncover co-occurrence betwe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358416/ https://www.ncbi.nlm.nih.gov/pubmed/35983231 http://dx.doi.org/10.1016/j.csbj.2022.07.025 |
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author | Bentsen, Mette Heger, Vanessa Schultheis, Hendrik Kuenne, Carsten Looso, Mario |
author_facet | Bentsen, Mette Heger, Vanessa Schultheis, Hendrik Kuenne, Carsten Looso, Mario |
author_sort | Bentsen, Mette |
collection | PubMed |
description | Cooperativity between transcription factors is important to regulate target gene expression. In particular, the binding grammar of TFs in relation to each other, as well as in the context of other genomic elements, is crucial for TF functionality. However, tools to easily uncover co-occurrence between DNA-binding proteins, and investigate the regulatory modules of TFs, are limited. Here we present TF-COMB (Transcription Factor Co-Occurrence using Market Basket analysis) - a tool to investigate co-occurring TFs and binding grammar within regulatory regions. We found that TF-COMB can accurately identify known co-occurring TFs from ChIP-seq data, as well as uncover preferential localization to other genomic elements. With the use of ATAC-seq footprinting and TF motif locations, we found that TFs exhibit both preferred orientation and distance in relation to each other, and that these are biologically significant. Finally, we extended the analysis to not only investigate individual TF pairs, but also TF pairs in the context of networks, which enabled the investigation of TF complexes and TF hubs. In conclusion, TF-COMB is a flexible tool to investigate various aspects of TF binding grammar. |
format | Online Article Text |
id | pubmed-9358416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-93584162022-08-17 TF-COMB – Discovering grammar of transcription factor binding sites Bentsen, Mette Heger, Vanessa Schultheis, Hendrik Kuenne, Carsten Looso, Mario Comput Struct Biotechnol J Research Article Cooperativity between transcription factors is important to regulate target gene expression. In particular, the binding grammar of TFs in relation to each other, as well as in the context of other genomic elements, is crucial for TF functionality. However, tools to easily uncover co-occurrence between DNA-binding proteins, and investigate the regulatory modules of TFs, are limited. Here we present TF-COMB (Transcription Factor Co-Occurrence using Market Basket analysis) - a tool to investigate co-occurring TFs and binding grammar within regulatory regions. We found that TF-COMB can accurately identify known co-occurring TFs from ChIP-seq data, as well as uncover preferential localization to other genomic elements. With the use of ATAC-seq footprinting and TF motif locations, we found that TFs exhibit both preferred orientation and distance in relation to each other, and that these are biologically significant. Finally, we extended the analysis to not only investigate individual TF pairs, but also TF pairs in the context of networks, which enabled the investigation of TF complexes and TF hubs. In conclusion, TF-COMB is a flexible tool to investigate various aspects of TF binding grammar. Research Network of Computational and Structural Biotechnology 2022-07-21 /pmc/articles/PMC9358416/ /pubmed/35983231 http://dx.doi.org/10.1016/j.csbj.2022.07.025 Text en © 2022 The Author(s) https://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 Bentsen, Mette Heger, Vanessa Schultheis, Hendrik Kuenne, Carsten Looso, Mario TF-COMB – Discovering grammar of transcription factor binding sites |
title | TF-COMB – Discovering grammar of transcription factor binding sites |
title_full | TF-COMB – Discovering grammar of transcription factor binding sites |
title_fullStr | TF-COMB – Discovering grammar of transcription factor binding sites |
title_full_unstemmed | TF-COMB – Discovering grammar of transcription factor binding sites |
title_short | TF-COMB – Discovering grammar of transcription factor binding sites |
title_sort | tf-comb – discovering grammar of transcription factor binding sites |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358416/ https://www.ncbi.nlm.nih.gov/pubmed/35983231 http://dx.doi.org/10.1016/j.csbj.2022.07.025 |
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