Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles

Author:

Borner Georg H.H.1,Antrobus Robin1,Hirst Jennifer1,Bhumbra Gary S.2,Kozik Patrycja1,Jackson Lauren P.1,Sahlender Daniela A.1,Robinson Margaret S.1

Affiliation:

1. Cambridge Institute for Medical Research, Wellcome Trust/Medical Research Council Building, University of Cambridge, Cambridge CB2 0XY, England, UK

2. Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, England, UK

Abstract

Despite recent advances in mass spectrometry, proteomic characterization of transport vesicles remains challenging. Here, we describe a multivariate proteomics approach to analyzing clathrin-coated vesicles (CCVs) from HeLa cells. siRNA knockdown of coat components and different fractionation protocols were used to obtain modified coated vesicle-enriched fractions, which were compared by stable isotope labeling of amino acids in cell culture (SILAC)-based quantitative mass spectrometry. 10 datasets were combined through principal component analysis into a “profiling” cluster analysis. Overall, 136 CCV-associated proteins were predicted, including 36 new proteins. The method identified >93% of established CCV coat proteins and assigned >91% correctly to intracellular or endocytic CCVs. Furthermore, the profiling analysis extends to less well characterized types of coated vesicles, and we identify and characterize the first AP-4 accessory protein, which we have named tepsin. Finally, our data explain how sequestration of TACC3 in cytosolic clathrin cages causes the severe mitotic defects observed in auxilin-depleted cells. The profiling approach can be adapted to address related cell and systems biological questions.

Publisher

Rockefeller University Press

Subject

Cell Biology

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