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Catching global interactions in vivo
Histone proteins and transcription factors (TFs) play critical roles in gene transcription and development of multicellular organisms. Although antibody mediated protein isolation couple with mass spectrometry approach has been a standard method to identify TF interacting partners and characterize t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622459/ https://www.ncbi.nlm.nih.gov/pubmed/29021892 http://dx.doi.org/10.1186/s13578-017-0177-z |
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author | Qiu, Yi Huang, Suming |
author_facet | Qiu, Yi Huang, Suming |
author_sort | Qiu, Yi |
collection | PubMed |
description | Histone proteins and transcription factors (TFs) play critical roles in gene transcription and development of multicellular organisms. Although antibody mediated protein isolation couple with mass spectrometry approach has been a standard method to identify TF interacting partners and characterize their functional molecular complexes, it becomes urge to develop a robust method to functional characterize how these transcription factors act during biological process in the post-human genome project era. Here, Dr. Zhao and his colleagues in the National Heart, Lung, and Blood Institute of NIH develop a sensitive and robust strategy to globally identify and characterize in vivo protein–protein interactions termed bait protein–protein interaction-sequencing (bPPI-seq) (Zhang et al. in Cell Res doi:10.1038/cr.2017.112, 2017). As a proof-of-principle, they demonstrated that genome-wide interacting partners of histone variant H2A.Z are mainly involved in transcriptional regulation which is distinct from the interacting proteins of canonical histone H2A. Thus, their results suggest that bPPI-seq can be widely used to globally characterize protein complexes especially transcription factor interacting partners and molecular networks formed. |
format | Online Article Text |
id | pubmed-5622459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56224592017-10-11 Catching global interactions in vivo Qiu, Yi Huang, Suming Cell Biosci Research Highlight Histone proteins and transcription factors (TFs) play critical roles in gene transcription and development of multicellular organisms. Although antibody mediated protein isolation couple with mass spectrometry approach has been a standard method to identify TF interacting partners and characterize their functional molecular complexes, it becomes urge to develop a robust method to functional characterize how these transcription factors act during biological process in the post-human genome project era. Here, Dr. Zhao and his colleagues in the National Heart, Lung, and Blood Institute of NIH develop a sensitive and robust strategy to globally identify and characterize in vivo protein–protein interactions termed bait protein–protein interaction-sequencing (bPPI-seq) (Zhang et al. in Cell Res doi:10.1038/cr.2017.112, 2017). As a proof-of-principle, they demonstrated that genome-wide interacting partners of histone variant H2A.Z are mainly involved in transcriptional regulation which is distinct from the interacting proteins of canonical histone H2A. Thus, their results suggest that bPPI-seq can be widely used to globally characterize protein complexes especially transcription factor interacting partners and molecular networks formed. BioMed Central 2017-09-29 /pmc/articles/PMC5622459/ /pubmed/29021892 http://dx.doi.org/10.1186/s13578-017-0177-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Highlight Qiu, Yi Huang, Suming Catching global interactions in vivo |
title | Catching global interactions in vivo |
title_full | Catching global interactions in vivo |
title_fullStr | Catching global interactions in vivo |
title_full_unstemmed | Catching global interactions in vivo |
title_short | Catching global interactions in vivo |
title_sort | catching global interactions in vivo |
topic | Research Highlight |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622459/ https://www.ncbi.nlm.nih.gov/pubmed/29021892 http://dx.doi.org/10.1186/s13578-017-0177-z |
work_keys_str_mv | AT qiuyi catchingglobalinteractionsinvivo AT huangsuming catchingglobalinteractionsinvivo |