Abstract:
:Large-scale identification of protein-protein interactions (PPIs) in functional complexes represents an efficient route to elucidate the regulatory rules of cellular functions. Whereas many methods have been developed to identify the PPIs associated with particular target/bait protein in complexes, little information is available about the interaction relationships among all components in a complex. Here, we have established a strategy of integrating proteomic identification of complex components with mammalian two-hybrid screening of their binary relationships to achieve information content of both breadth (i.e., identifying all potential interacting partners of the protein of interest) and depth (i.e., detailed mapping of the physical interactions of a subset of the identified and functionally related proteins) in characterizing protein complexes. In the initial phase of quantitative proteomic analysis of this streamline, the proteins that specifically complex with the target/bait protein were pulled down by immunoprecipitation and identified by mass spectrometry (MS)-based "dual-tagging" quantitative proteomic approach. In the second phase of in-depth characterizations of binary relationships, the physical interactions of a subset of functionally closely related complex components are mapped by mammalian two-hybrid assay. The screening for binary relationships of complex components not only serves as a validation of the first phase of proteomic identification, but also further deepens the understanding of the protein complex of interest. With this streamlined approach, we studied the protein complexes that are associated with a DNA recombination protein RAD52. In the initial phase, multiple proteins both known and unknown to interact with RAD52 were identified by the "dual-tagging" proteomic method. In the second phase, a complex protein-protein interaction network, which may play important roles in coordinating the activity of DNA repair with that of cell division, was defined by the mammalian two-hybrid assay.
journal_name
J Proteome Resjournal_title
Journal of proteome researchauthors
Du Y,Zhou J,Fan J,Shen Z,Chen Xdoi
10.1021/pr800662xsubject
Has Abstractpub_date
2009-05-01 00:00:00pages
2211-7issue
5eissn
1535-3893issn
1535-3907journal_volume
8pub_type
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