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Investigator
Bert O'Malley
Dataset
Analysis of the Human Endogenous Complexome
Summary
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.
The dataset can be accessed in one of two ways:
Project
Contributors
Malovannaya A, Lanz RB, Jung SY, Bulynko Y, Le N, Chan DW, Ding C, Shi Y, Yucer N, Krenciute G, Jim B-J, Li C, Chen R, Li W, Wang Y, O'Malley BW and Qin J
Contact
Release Date
May 27, 2011
To cite this dataset in a paper, please do
not use the URL in the address bar above.
The correct citation link is: www.nursa.org/10.1621/datasets.06003
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