Fractionation profiling: a fast and versatile approach for mapping vesicle proteomes and protein-protein interactions.

Fractionation profiling: a fast and versatile approach for mapping vesicle proteomes and protein-protein interactions.
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DOI:
10.1091/mbc.e14-07-1198
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发表时间:
2014-10-15
影响因子:
3.3
通讯作者:
Robinson MS
Robinson MS
中科院分区:
生物学3区
文献类型:
--
作者:
Borner GH;Hein MY;Hirst J;Edgar JR;Mann M;Robinson MS

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Fractionation profiling is a universal method for the rapid proteomic characterization of membrane vesicles and protein particles. Although initially developed for the analysis of clathrin-coated vesicles, it also provides a versatile tool for generating high-resolution protein-interaction maps, allowing detailed analysis of protein complexes. We developed “fractionation profiling,” a method for rapid proteomic analysis of membrane vesicles and protein particles. The approach combines quantitative proteomics with subcellular fractionation to generate signature protein abundance distribution profiles. Functionally associated groups of proteins are revealed through cluster analysis. To validate the method, we first profiled >3500 proteins from HeLa cells and identified known clathrin-coated vesicle proteins with >90% accuracy. We then profiled >2400 proteins from Drosophila S2 cells, and we report the first comprehensive insect clathrin-coated vesicle proteome. Of importance, the cluster analysis extends to all profiled proteins and thus identifies a diverse range of known and novel cytosolic and membrane-associated protein complexes. We show that it also allows the detailed compositional characterization of complexes, including the delineation of subcomplexes and subunit stoichiometry. Our predictions are presented in an interactive database. Fractionation profiling is a universal method for defining the clathrin-coated vesicle proteome and may be adapted for the analysis of other types of vesicles and particles. In addition, it provides a versatile tool for the rapid generation of large-scale protein interaction maps.