Systems biology is a holistic rather than reductionist approach to deciphering complexity and understanding biology. It enables both hypothesis generation and prediction in biology, based on a comprehensive understanding of the interplay among components in biological systems. Biology is the driving force of systems approaches-dictating what technologies must be developed and in turn what computational and mathematical tools must be pioneered. It requires a cross-disciplinary foundation (biologists, chemists, computer scientists, mathematicians, physicists and physicians) where we learn to speak each other's languages and to work together in teams. The Center addresses challenges of systems biology that take many forms, including scientific, conceptual, technological, educational and cultural. We will seek to develop: (i) a culture of collaboration that drives systems biology and the integration of scientists and disciplines;(ii) an integrated network view of biology that drives quantitative and predictive systems biology;(iii) an integration of established and new core technologies and software for biological systems research;(iv) educational programs that serve the future of systems biology research. In order to support this development, we form collaborations and transfer knowledge to the community, beginning with K-12 science education, and continuing through to professional development courses.

Public Health Relevance

Disease results when normally functioning molecular networks of life become perturbed. This systems biology view presents striking new approaches to diagnostics, therapeutics and disease prevention that will ultimately lead to predictive, preventive personalized and participatory (P4) medicine. The Center's goal is to investigate these themes and to contribute to the education of the community.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076547-08
Application #
8735155
Study Section
Special Emphasis Panel (ZGM1)
Program Officer
Brazhnik, Paul
Project Start
2006-03-03
Project End
2017-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
8
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Institute for Systems Biology
Department
Type
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98109
Deutsch, Eric W; Csordas, Attila; Sun, Zhi et al. (2017) The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition. Nucleic Acids Res 45:D1100-D1106
Turkarslan, Serdar; Raman, Arjun V; Thompson, Anne W et al. (2017) Mechanism for microbial population collapse in a fluctuating resource environment. Mol Syst Biol 13:919
Sen, Payel; Luo, Jie; Hada, Arjan et al. (2017) Loss of Snf5 Induces Formation of an Aberrant SWI/SNF Complex. Cell Rep 18:2135-2147
Joesch-Cohen, Lena M; Glusman, Gustavo (2017) Differences between the genomes of lymphoblastoid cell lines and blood-derived samples. Adv Genomics Genet 7:1-9
Zuck, Meghan; Austin, Laura S; Danziger, Samuel A et al. (2017) The Promise of Systems Biology Approaches for Revealing Host Pathogen Interactions in Malaria. Front Microbiol 8:2183
Kessler, Anne; Dankwa, Selasi; Bernabeu, Maria et al. (2017) Linking EPCR-Binding PfEMP1 to Brain Swelling in Pediatric Cerebral Malaria. Cell Host Microbe 22:601-614.e5
Baker, Qanita Bani; Podgorski, Gregory J; Vargis, Elizabeth et al. (2017) A computational study of VEGF production by patterned retinal epithelial cell colonies as a model for neovascular macular degeneration. J Biol Eng 11:26
Herricks, Thurston; Mast, Fred D; Li, Song et al. (2017) ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth. J Vis Exp :
Michalik, Stephan; Depke, Maren; Murr, Annette et al. (2017) A global Staphylococcus aureus proteome resource applied to the in vivo characterization of host-pathogen interactions. Sci Rep 7:9718
Cromie, Gareth A; Tan, Zhihao; Hays, Michelle et al. (2017) Transcriptional Profiling of Biofilm Regulators Identified by an Overexpression Screen in Saccharomyces cerevisiae. G3 (Bethesda) 7:2845-2854

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