Chao Tang, PhD
Professor
Bioengineering
School of Pharmacy

We are a Systems Biology lab. We are interested in quantitative studies of biological systems, applying and developing quantitative methods and tools to address key biological questions. We believe that an interdisciplinary approach focusing on quantitative questions at a systems level will uncover new biological principles and help us to better understand complex disease and design new therapeutic strategies.

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The lab has both wet and dry components. Some of our current projects include: yeast cell cycle regulation, stress response, the function and topology of biological networks, modeling cancer pathways and development, systems drug design, and theoretical issues in systems biology.

Awards

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• China Thousand Talent Program, 2011
• Croucher Lecture, Chinese University of Hong Kong, Chinese University of Hong Kong, 2006
• Chang Jiang Scholar Award, Chinese Ministry of Education, Chinese Ministry of Education, 2003
• Troisième Cycle Lecture, Lausanne, Switzerland, Troisième, 2003
• Overseas Chinese Young Scholars Award, National Science Foundation of China, OverseaNational Science Foundation of China, 2002
• Fellow, the American Physical Society, American Physical Society, 1997
• Valentine Telegdi Prize, University of Chicago, University of Chicago, 1982

Websites

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• Profile at limlab.ucsf.edu (limlab.ucsf.edu)

Grants and Projects

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• Exploring Design Principles of Cellular Control Circuits, NIH, 2010-2019
• Quantitative studies of cell cycle checkpoints and switches, NIH, 2011-2015

Publications (11)

Top publication keywords:
Genes, Mating Type, FungalEndoplasmic ReticulumSaccharomyces cerevisiaeModels, ChemicalSignal TransductionCell CycleFeedback, PhysiologicalDiseaseSystems BiologyAlgorithmsCodonAdaptation, PhysiologicalProtein BiosynthesisModels, BiologicalPharmacology

• Defining network topologies that can achieve biochemical adaptation.
  Cell 2009 Ma W, Trusina A, El-Samad H, Lim WA, Tang C
• Rationalizing translation attenuation in the network architecture of the unfolded protein response.
  Proceedings of the National Academy of Sciences of the United States of America 2008 Trusina A, Papa FR, Tang C
• Finding multiple target optimal intervention in disease-related molecular network.
  Molecular systems biology 2008 Yang K, Bai H, Ouyang Q, Lai L, Tang C
• Robust, tunable biological oscillations from interlinked positive and negative feedback loops.
  Science (New York, N.Y.) 2008 Tsai TY, Choi YS, Ma W, Pomerening JR, Tang C, Ferrell JE
• SCUMBLE: a method for systematic and accurate detection of codon usage bias by maximum likelihood estimation.
  Nucleic acids research 2008 Kloster M, Tang C

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• Function constrains network architecture and dynamics: a case study on the yeast cell cycle Boolean network.
  Physical review. E, Statistical, nonlinear, and soft matter physics 2007 Lau KY, Ganguli S, Tang C
• Robustness and modular design of the Drosophila segment polarity network.
  Molecular systems biology 2006 Ma W, Lai L, Ouyang Q, Tang C
• Dynamic studies of scaffold-dependent mating pathway in yeast.
  Biophysical journal 2006 Shao D, Zheng W, Qiu W, Ouyang Q, Tang C
• Finding regulatory modules through large-scale gene-expression data analysis.
  Bioinformatics (Oxford, England) 2004 Kloster M, Tang C, Wingreen NS
• The yeast cell-cycle network is robustly designed.
  Proceedings of the National Academy of Sciences of the United States of America 2004 Li F, Long T, Lu Y, Ouyang Q, Tang C
• Simulation and analysis of in vitro DNA evolution.
  Physical review letters 2004 Kloster M, Tang C