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Thermal proximity coaggregation for system-wide profiling of protein complex dynamics in cells.
Tan, Chris Soon Heng; Go, Ka Diam; Bisteau, Xavier; Dai, Lingyun; Yong, Chern Han; Prabhu, Nayana; Ozturk, Mert Burak; Lim, Yan Ting; Sreekumar, Lekshmy; Lengqvist, Johan; Tergaonkar, Vinay; Kaldis, Philipp; Sobota, Radoslaw M; Nordlund, Pär.
Afiliación
  • Tan CSH; Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore. cshtan@imcb.a-star.edu.sg pnordlund@ntu.edu.sg.
  • Go KD; Institute of Medical Biology (IMB), A*STAR (Agency for Science, Technology and Research), Singapore.
  • Bisteau X; School of Biological Sciences, Nanyang Technological University, Singapore.
  • Dai L; Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore.
  • Yong CH; School of Biological Sciences, Nanyang Technological University, Singapore.
  • Prabhu N; Program in Cancer and Stem Cell Biology, Duke-National University of Singapore (NUS) Medical School, Singapore.
  • Ozturk MB; Centre for Computational Biology, Duke-NUS Medical School, Singapore.
  • Lim YT; School of Biological Sciences, Nanyang Technological University, Singapore.
  • Sreekumar L; Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore.
  • Lengqvist J; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Tergaonkar V; School of Biological Sciences, Nanyang Technological University, Singapore.
  • Kaldis P; School of Biological Sciences, Nanyang Technological University, Singapore.
  • Sobota RM; Department of Oncology-Pathology, Cancer Center Karolinska, Karolinska Institutet, Stockholm, Sweden.
  • Nordlund P; Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore.
Science ; 359(6380): 1170-1177, 2018 03 09.
Article en En | MEDLINE | ID: mdl-29439025
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complejos Multiproteicos / Agregación Patológica de Proteínas / Agregado de Proteínas Límite: Humans Idioma: En Revista: Science Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complejos Multiproteicos / Agregación Patológica de Proteínas / Agregado de Proteínas Límite: Humans Idioma: En Revista: Science Año: 2018 Tipo del documento: Article
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