蛋白质组
细胞内
蛋白质-蛋白质相互作用
细胞生物学
蛋白质阵列分析
细胞
染色质
血浆蛋白结合
计算生物学
生物
生物化学
基因表达
基因
DNA微阵列
作者
Chris Soon Heng Tan,Ka Diam Go,Xavier Bisteau,Lingyun Dai,Chern Han Yong,Nayana Prabhu,Mert B. Ozturk,Yan Ting Lim,Lekshmy Sreekumar,Johan Lengqvist,Vinay Tergaonkar,Philipp Kaldis,Radoslaw M. Sobota,P. Nordlund
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2018-02-13
卷期号:359 (6380): 1170-1177
被引量:194
标识
DOI:10.1126/science.aan0346
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI