Analysis of the Human Endogenous Coregulator Complexome
Author(s) -
Anna Malovannaya,
Rainer B. Lanz,
Sung Yun Jung,
Yaroslava Bulynko,
Nguyen Thanh Le,
Doug W. Chan,
Chen Ding,
Yi Shi,
Nur Yucer,
Giedre Krenciute,
BeomJun Kim,
Chunshu Li,
Rui Chen,
Wei Li,
Yibin Wang,
Bert W. O’Malley,
Jun Qin
Publication year - 2011
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2011.05.006
Subject(s) - biology , proteome , computational biology , endogeny , proteomics , human proteome project , protein–protein interaction , genetics , gene , biochemistry
Elucidation of endogenous cellular protein-protein interactions and their networks is most desirable for biological studies. Here we report our study of endogenous human coregulator protein complex networks obtained from integrative mass spectrometry-based analysis of 3290 affinity purifications. By preserving weak protein interactions during complex isolation and utilizing high levels of reciprocity in the large dataset, we identified many unreported protein associations, such as a transcriptional network formed by ZMYND8, ZNF687, and ZNF592. Furthermore, our work revealed a tiered interplay within networks that share common proteins, providing a conceptual organization of a cellular proteome composed of minimal endogenous modules (MEMOs), complex isoforms (uniCOREs), and regulatory complex-complex interaction networks (CCIs). This resource will effectively fill a void in linking correlative genomic studies with an understanding of transcriptional regulatory protein functions within the proteome for formulation and testing of future hypotheses.
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