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An inter-species protein-protein interaction network across vast evolutionary distance.
Zhong, Quan; Pevzner, Samuel J; Hao, Tong; Wang, Yang; Mosca, Roberto; Menche, Jörg; Taipale, Mikko; Tasan, Murat; Fan, Changyu; Yang, Xinping; Haley, Patrick; Murray, Ryan R; Mer, Flora; Gebreab, Fana; Tam, Stanley; MacWilliams, Andrew; Dricot, Amélie; Reichert, Patrick; Santhanam, Balaji; Ghamsari, Lila; Calderwood, Michael A; Rolland, Thomas; Charloteaux, Benoit; Lindquist, Susan; Barabási, Albert-László; Hill, David E; Aloy, Patrick; Cusick, Michael E; Xia, Yu; Roth, Frederick P; Vidal, Marc.
Afiliación
  • Zhong Q; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA Department of Biological Sciences, Wright State University, Dayton, OH, USA marc_vidal@dfci.harvard.edu fritz.roth@
  • Pevzner SJ; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA Department of Biomedical Engineering, Boston University, Boston, MA, USA Boston University School of Medicine, Bost
  • Hao T; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Wang Y; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Mosca R; Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona Catalonia, Spain.
  • Menche J; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Center for Complex Network Research (CCNR) and Department of Physics, Northeastern University, Boston, MA, USA.
  • Taipale M; Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
  • Tasan M; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, ON, Canada Donnelly Centre, University of Toronto, Toronto, ON, Canada Lunenfeld-Tanenbaum
  • Fan C; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Yang X; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Haley P; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Murray RR; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Mer F; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Gebreab F; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Tam S; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • MacWilliams A; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Dricot A; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Reichert P; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Santhanam B; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Ghamsari L; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Calderwood MA; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Rolland T; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Charloteaux B; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Lindquist S; Whitehead Institute for Biomedical Research, Cambridge, MA, USA Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Barabási AL; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Center for Complex Network Research (CCNR) and Department of Physics, Northeastern University, Boston, MA, USA Department of Medicine, Brigham and Women's Hospital, Harvard Medica
  • Hill DE; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Aloy P; Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona Catalonia, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
  • Cusick ME; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Xia Y; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Bioengineering, McGill University, Montreal, QC, Canada marc_vidal@dfci.harvard.edu fritz.roth@utoronto.ca brandon.xia@mcgill.ca quan.zhong@wright.edu.
  • Roth FP; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, ON, Canada Donnelly Centre, University of Toronto, Toronto, ON, Canada Lunenfeld-Tanenbaum
  • Vidal M; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA Department of Genetics, Harvard Medical School, Boston, MA, USA marc_vidal@dfci.harvard.edu fritz.roth@utoronto.ca brandon.xia@mcgill.ca quan.zhong@wright.edu.
Mol Syst Biol ; 12(4): 865, 2016 Apr 22.
Article en En | MEDLINE | ID: mdl-27107014
In cellular systems, biophysical interactions between macromolecules underlie a complex web of functional interactions. How biophysical and functional networks are coordinated, whether all biophysical interactions correspond to functional interactions, and how such biophysical-versus-functional network coordination is shaped by evolutionary forces are all largely unanswered questions. Here, we investigate these questions using an "inter-interactome" approach. We systematically probed the yeast and human proteomes for interactions between proteins from these two species and functionally characterized the resulting inter-interactome network. After a billion years of evolutionary divergence, the yeast and human proteomes are still capable of forming a biophysical network with properties that resemble those of intra-species networks. Although substantially reduced relative to intra-species networks, the levels of functional overlap in the yeast-human inter-interactome network uncover significant remnants of co-functionality widely preserved in the two proteomes beyond human-yeast homologs. Our data support evolutionary selection against biophysical interactions between proteins with little or no co-functionality. Such non-functional interactions, however, represent a reservoir from which nascent functional interactions may arise.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas Fúngicas / Proteoma / Mapeo de Interacción de Proteínas Límite: Humans Idioma: En Revista: Mol Syst Biol Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas Fúngicas / Proteoma / Mapeo de Interacción de Proteínas Límite: Humans Idioma: En Revista: Mol Syst Biol Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2016 Tipo del documento: Article