Thermal proximity coaggregation for system-wide profiling of protein complex dynamics in cells

Chris Soon Heng Tan(Agency for Science, Technology and Research), Ka Diam Go(Nanyang Technological University), Xavier Bisteau(Agency for Science, Technology and Research), Lingyun Dai(Nanyang Technological University), Chern Han Yong(Duke-NUS Medical School), Nayana Prabhu(Nanyang Technological University), Mert B. Ozturk(Agency for Science, Technology and Research), Yan Ting Lim(Nanyang Technological University), Lekshmy Sreekumar(Nanyang Technological University), Johan Lengqvist(Karolinska Institutet), Vinay Tergaonkar(Agency for Science, Technology and Research), Philipp Kaldis(Agency for Science, Technology and Research), Radoslaw M. Sobota(Agency for Science, Technology and Research), P. Nordlund(Agency for Science, Technology and Research)
Science
February 13, 2018
Cited by 232Open Access
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Abstract

Proteins differentially interact with each other across cellular states and conditions, but an efficient proteome-wide strategy to monitor them is lacking. We report the application of thermal proximity coaggregation (TPCA) for high-throughput intracellular monitoring of protein complex dynamics. Significant TPCA signatures observed among well-validated protein-protein interactions correlate positively with interaction stoichiometry and are statistically observable in more than 350 annotated human protein complexes. Using TPCA, we identified many complexes without detectable differential protein expression, including chromatin-associated complexes, modulated in S phase of the cell cycle. Comparison of six cell lines by TPCA revealed cell-specific interactions even in fundamental cellular processes. TPCA constitutes an approach for system-wide studies of protein complexes in nonengineered cells and tissues and might be used to identify protein complexes that are modulated in diseases.


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