The overarching goal of the proposed Center for Quantitative Biology remains to instantiate at Princeton a research and teaching environment that fully meets the challenge and opportunity, presented by advances in computation and genomics, to practice a usefully quantitative biological science, sometimes referred to as """"""""systems biology"""""""". The programs and infrastructure of the Center increase the bandwidth of communication among researchers from different disciplines and departments (including Molecular Biology, Ecology and Evolutionary Biology, Computer Science, Chemistry and Physics). One in four (54/217) papers published with Center support in the last four years is a joint publication between two or more Center faculty. For both undergraduate and graduate students, the Center provides a focus for multidisciplinary teaching and learning;quantitative and biological ideas are integrated from the beginning, with the result that students acquire nearly equal facility in biological and quantitative thinking. The Center's specific aims are: (1) to develop realistic and quantitative models of biological processes;(2) to collect large-scale data sets that comprehensively describe biological processes;(3) to devise new and improved methods for computational analysis and display of complex models, structures and data and to make, upon publication, all underlying data, algorithms and analytical systems publicly accessible;(4) to devise and support new curricula and courses of quantitative biology education for undergraduates, graduate students, and the larger scientific community;and (5) to reduce these ideas to practice in several collaborative and multi-disciplinary projects, each aimed at specific system-level questions in the subject areas of (i) intracellular signaling, (ii) pattern and cell signaling in multicellular organisms, (iii) host-pathogen interactions and (iv) bioinformatics and data visualization. These projects share common quantitative goals, require a common infrastructure (i.e. computation, microarray, imaging and metabolomics core facilities) and all of them benefit from the intellectual synergy and multi-disciplinary cooperation that the Center provides.

Public Health Relevance

Advancing technology in genomics and computation has led to new ways of thinking, understanding, and studying living things. Revolutionary diagnostic and therapeutic possibilities for complex diseases like cancer have become possible. Realizing these possibilities requires the multidisciplinary environment, technical resources and a fully quantitative biological education that the Princeton Center provides.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Specialized Center (P50)
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Special Emphasis Panel (ZGM1-CBCB-4 (SB))
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Brazhnik, Paul
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Princeton University
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Zhou, Jian; Troyanskaya, Olga G (2016) Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states. Nat Commun 7:10528
Cobbold, Simon A; Santos, Joana M; Ochoa, Alejandro et al. (2016) Proteome-wide analysis reveals widespread lysine acetylation of major protein complexes in the malaria parasite. Sci Rep 6:19722
Cobbold, Simon A; Llinás, Manuel; Kirk, Kiaran (2016) Sequestration and metabolism of host cell arginine by the intraerythrocytic malaria parasite Plasmodium falciparum. Cell Microbiol 18:820-30
Berman, Gordon J; Bialek, William; Shaevitz, Joshua W (2016) Predictability and hierarchy in Drosophila behavior. Proc Natl Acad Sci U S A 113:11943-11948
Kamphorst, Jurre J; Nofal, Michel; Commisso, Cosimo et al. (2015) Human pancreatic cancer tumors are nutrient poor and tumor cells actively scavenge extracellular protein. Cancer Res 75:544-53
Bothma, Jacques P; Garcia, Hernan G; Ng, Samuel et al. (2015) Enhancer additivity and non-additivity are determined by enhancer strength in the Drosophila embryo. Elife 4:
Purdy, John G; Shenk, Thomas; Rabinowitz, Joshua D (2015) Fatty acid elongase 7 catalyzes lipidome remodeling essential for human cytomegalovirus replication. Cell Rep 10:1375-85
Fan, Jing; Teng, Xin; Liu, Ling et al. (2015) Human phosphoglycerate dehydrogenase produces the oncometabolite D-2-hydroxyglutarate. ACS Chem Biol 10:510-6
Haye, Joanna E; Gammie, Alison E (2015) The Eukaryotic Mismatch Recognition Complexes Track with the Replisome during DNA Synthesis. PLoS Genet 11:e1005719
Parsons, Lance R; Tafuri, Yolanda R; Shreve, Jacob T et al. (2015) Rapid genome assembly and comparison decode intrastrain variation in human alphaherpesviruses. MBio 6:

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