Cargando…
Human transcription factor protein interaction networks
Transcription factors (TFs) interact with several other proteins in the process of transcriptional regulation. Here, we identify 6703 and 1536 protein–protein interactions for 109 different human TFs through proximity-dependent biotinylation (BioID) and affinity purification mass spectrometry (AP-MS...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828895/ https://www.ncbi.nlm.nih.gov/pubmed/35140242 http://dx.doi.org/10.1038/s41467-022-28341-5 |
_version_ | 1784647944224374784 |
---|---|
author | Göös, Helka Kinnunen, Matias Salokas, Kari Tan, Zenglai Liu, Xiaonan Yadav, Leena Zhang, Qin Wei, Gong-Hong Varjosalo, Markku |
author_facet | Göös, Helka Kinnunen, Matias Salokas, Kari Tan, Zenglai Liu, Xiaonan Yadav, Leena Zhang, Qin Wei, Gong-Hong Varjosalo, Markku |
author_sort | Göös, Helka |
collection | PubMed |
description | Transcription factors (TFs) interact with several other proteins in the process of transcriptional regulation. Here, we identify 6703 and 1536 protein–protein interactions for 109 different human TFs through proximity-dependent biotinylation (BioID) and affinity purification mass spectrometry (AP-MS), respectively. The BioID analysis identifies more high-confidence interactions, highlighting the transient and dynamic nature of many of the TF interactions. By performing clustering and correlation analyses, we identify subgroups of TFs associated with specific biological functions, such as RNA splicing or chromatin remodeling. We also observe 202 TF-TF interactions, of which 118 are interactions with nuclear factor 1 (NFI) family members, indicating uncharacterized cross-talk between NFI signaling and other TF signaling pathways. Moreover, TF interactions with basal transcription machinery are mainly observed through TFIID and SAGA complexes. This study provides a rich resource of human TF interactions and also act as a starting point for future studies aimed at understanding TF-mediated transcription. |
format | Online Article Text |
id | pubmed-8828895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88288952022-03-04 Human transcription factor protein interaction networks Göös, Helka Kinnunen, Matias Salokas, Kari Tan, Zenglai Liu, Xiaonan Yadav, Leena Zhang, Qin Wei, Gong-Hong Varjosalo, Markku Nat Commun Article Transcription factors (TFs) interact with several other proteins in the process of transcriptional regulation. Here, we identify 6703 and 1536 protein–protein interactions for 109 different human TFs through proximity-dependent biotinylation (BioID) and affinity purification mass spectrometry (AP-MS), respectively. The BioID analysis identifies more high-confidence interactions, highlighting the transient and dynamic nature of many of the TF interactions. By performing clustering and correlation analyses, we identify subgroups of TFs associated with specific biological functions, such as RNA splicing or chromatin remodeling. We also observe 202 TF-TF interactions, of which 118 are interactions with nuclear factor 1 (NFI) family members, indicating uncharacterized cross-talk between NFI signaling and other TF signaling pathways. Moreover, TF interactions with basal transcription machinery are mainly observed through TFIID and SAGA complexes. This study provides a rich resource of human TF interactions and also act as a starting point for future studies aimed at understanding TF-mediated transcription. Nature Publishing Group UK 2022-02-09 /pmc/articles/PMC8828895/ /pubmed/35140242 http://dx.doi.org/10.1038/s41467-022-28341-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Göös, Helka Kinnunen, Matias Salokas, Kari Tan, Zenglai Liu, Xiaonan Yadav, Leena Zhang, Qin Wei, Gong-Hong Varjosalo, Markku Human transcription factor protein interaction networks |
title | Human transcription factor protein interaction networks |
title_full | Human transcription factor protein interaction networks |
title_fullStr | Human transcription factor protein interaction networks |
title_full_unstemmed | Human transcription factor protein interaction networks |
title_short | Human transcription factor protein interaction networks |
title_sort | human transcription factor protein interaction networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828895/ https://www.ncbi.nlm.nih.gov/pubmed/35140242 http://dx.doi.org/10.1038/s41467-022-28341-5 |
work_keys_str_mv | AT gooshelka humantranscriptionfactorproteininteractionnetworks AT kinnunenmatias humantranscriptionfactorproteininteractionnetworks AT salokaskari humantranscriptionfactorproteininteractionnetworks AT tanzenglai humantranscriptionfactorproteininteractionnetworks AT liuxiaonan humantranscriptionfactorproteininteractionnetworks AT yadavleena humantranscriptionfactorproteininteractionnetworks AT zhangqin humantranscriptionfactorproteininteractionnetworks AT weigonghong humantranscriptionfactorproteininteractionnetworks AT varjosalomarkku humantranscriptionfactorproteininteractionnetworks |