National Centers for Systems Biology Portal
Cell Decision Process Center
Principal investigator: Peter Sorger, Ph.D., Massachusetts Institute of Technology
The Cell Decision Process Center focuses on developing numerical models of the mammalian signal transduction networks that regulate cell death and proliferation and on testing these models experimentally. Since all the models are built using empirical data, a significant effort is devoted to systematizing and automating biological measurements.
Web site: http://www.cdpcenter.org
Center for Complex Biological Systems
Principal investigator: Arthur Lander, M.D., Ph.D., University of California, Irvine
The Center for Complex Biological Systems focuses on how biological systems in model organisms process spatial information during development, intracellular signaling and cell proliferation. Other efforts include the development of computational and optical tools needed for measuring and modeling spatially dynamic systems.
Web site: http://ccbs.uci.edu
Center for Genome Dynamics
Principal investigator: Gary Churchill, Ph.D., The Jackson Laboratory
The Center for Genome Dynamics at The Jackson Laboratory focuses on how patterns of genetic variation emerge and persist over time. By creating a collection of genetic information from a set of more than 200 inbred strains of mice, the research team studies expression patterns to identify co-expressed genes, examine how these patterns evolved and investigate how the overall genome organization affects phenotype.
Web site: http://www.genomedynamics.org
Center for Modular Biology
Principal investigator: Andrew Murray, Ph.D., Harvard University
The Center for Modular Biology investigates how well the idea of "functional modules" (sets of molecules) helps us understand the organization, behavior and evolution of cells and organisms. Combining computational and experimental approaches, the center studies how modules allow long-term evolvability to coexist with short-term robustness, asks how modules affect interactions among mutations in evolution and examines the role of modules in the interplay between social behavior and gene expression.
Web site: http://sysbio.harvard.edu/csb/research/center.html
Center for Quantitative Biology
Principal investigator: David Botstein, Ph.D., Princeton University
The Center for Quantitative Biology uses advanced computational methods to understand how biological molecules interact with and respond to their environment. The center facilitates systems biology research by providing its participants and other Princeton labs access to state-of-the-art-technologies for computation, DNA microarray, advanced imaging and mass spectrometry. Education at the undergraduate and graduate level is a key activity.
Web site: http://quantbio.princeton.edu
Center for RNA Systems Biology
Principal investigator: Jamie Cate, Ph.D., University of California, Berkeley
The Center for RNA Systems Biology takes a new approach to understanding the role that RNA plays in the regulation of gene expression. The center uses systems biology methods to explore the relationship between the structure and fate of messenger RNA and its precursors in living cells.
Web site: http://qb3.berkeley.edu/crsb
Center for Systems and Synthetic Biology
Principal investigator: Wendell Lim, Ph.D., University of California, San Francisco
The Center for Systems and Synthetic Biology is identifying principles and architectural features involved in common cellular processing behaviors, such as adaptation, and is examining these circuits across different species. The center then will use this information to engineer synthetic circuits that can trigger desirable cellular responses to external cues, making them potentially useful in biotechnology and biomedicine.
Web site: http://systemsbiology.ucsf.edu
Center for Systems Biology
Principal investigator: John Aitchison, Ph.D., Institute for Systems Biology
The Center for Systems Biology is designing and developing novel tools for microfluidic measurement, molecular imaging and computational modeling to better understand how cells differentiate and respond to environmental changes, to identify diagnostic markers of prostate cancer and to model cell dynamics and signaling networks.
Web site: http://www.centerforsystemsbiology.org
Center for Systems Biology of Retrotransposition
Principal investigator: Jef D. Boeke, Ph.D., Johns Hopkins University School of Medicine
The Center for Systems Biology of Retrotransposition focuses on modeling and understanding the interactions between organisms and the transposable elements in their genomes, which are emerging as potentially important predictors of complex human traits, including predisposition to disease.
Web site: Under development
Center for the Spatiotemporal Modeling of Cell Signaling
Principal investigator: Janet Oliver, Ph.D., University of New Mexico
The Center for the Spatiotemporal Modeling of Cell Signaling examines how events in cells happen in space and time. Research projects focus on understanding the behavior of complex cell signaling networks in immune and cancer cells and integrating quantitative experimental measurements into related computational modeling studies.
Web site: http://stmc.health.unm.edu/index.html
Chicago Center for Systems Biology
Principal investigator: Kevin White, Ph.D., University of Chicago
The Chicago Center for Systems Biology models the dynamic behavior of transcriptional regulatory networks as they respond to physiological, developmental and evolutionary inputs and pressures. The center's research is expected to reveal structure-function relationships in networks that lead to robustness of cells and organisms in response to environmental and genetic change.
Web site: http://www.chicago-center-for-systems-biology.org
Duke Center for Systems Biology
Principal investigator: Philip Benfey, Ph.D., Duke University
The Duke Center for Systems Biology employs a systems biology approach to address the orchestrated processes of the cell cycle, development and differentiation and population variation in model organisms.
Web site: http://www.genome.duke.edu/centers/csb
Microbial Ecology and Theory of Animals Center for Systems Biology
Principal investigator: Karen Guillemin, Ph.D., University of Oregon
The Microbial Ecology and Theory of Animals Center for Systems Biology (META CSB) brings together a multidisciplinary team of researchers to investigate how animal-associated microbial communities assemble, interact, evolve and influence human health and disease. The center uses two fish systems, zebrafish and stickleback, to model host-microbe interactions in humans. The center is also partnering with the University of Alaska to develop training opportunities for groups underrepresented in systems biology.
Web site: http://meta.uoregon.edu
San Diego Center for Systems Biology of Cellular Stress Responses
Principal investigator: Alexander Hoffmann, Ph.D., University of California, San Diego
The San Diego Center for Systems Biology of Cellular Stress Responses uses genomics, proteomics and synthetic biology approaches to understand the signaling pathways involved in normal stress responses and how these responses protect cells. The center also is examining how misregulated stress responses can lead to disease, including cancer and inflammatory diseases.
Web site: http://sdcsb.org
Stanford Center for Systems Biology
Principal investigators: James E. Ferrell, M.D., Ph.D., and Tobias Meyer, Ph.D., Stanford University School of Medicine
The Stanford Center for Systems Biology pursues a systems-level understanding of cell division, migration and differentiation. Among the center’s approaches to studying these complex and highly coordinated processes are real-time imaging, microfluidics, computational modeling and new technologies for the acute perturbation of systems.
Web site: http://www.stanford.edu/group/meyerlab/SCSB/index.html
Synthetic Biology Center at MIT
Principal investigator: Ron Weiss, Ph.D., Massachusetts Institute of Technology
The Synthetic Biology Center at MIT brings together an interdisciplinary research team to integrate systems views of diseases with the synthetic construction of novel treatments. In particular, the center explores using synthetic, RNA-based circuits to sense and destroy cancerous cells; programming the differentiation of stem cells to generate insulin-producing beta-islet cells for diabetes; and engineering approaches to target antibiotic-resistant bacteria.
Web site: http://synbio.mit.edu/
Systems Biology Center New York
Principal investigator: Ravi Iyengar, Ph.D., Mount Sinai School of Medicine
The Systems Biology Center New York focuses on the systems-level study of medicine and therapeutics. The team integrates theoretical and experimental approaches to understand how drugs affect the organization and physiology of cells, tissues and organs to produce both therapeutic and toxic effects.
Web site: http://www.sbcny.org
The Virtual Physiological Rat Project
Principal investigator: Daniel Beard, Ph.D., Medical College of Wisconsin
The Virtual Physiological Rat Project uses computational methods to develop detailed models of the physiology of the rat cardiovascular system in health and disease. Using experimental approaches to inform their virtual models, the research team investigates the interaction between genetics, physiology and environmental factors to predict the occurrence of complex cardiovascular diseases in rats, with potential future application to human conditions.
Web site: http://www.virtualrat.org
Center for Cell Dynamics
Principal investigator: Garrett M. Odell, Ph.D., University of Washington Friday Harbor Laboratories
The Center for Cell Dynamics focused both on high-resolution imaging methods for visualizing molecular interactions and on building computer simulations that capture systems-level properties of pattern formation, cytoskeleton dynamics and cell cycle regulation in worms, flies and marine invertebrates.
Web site: http://celldynamics.org/celldynamics
Center for Modeling Integrated Metabolic Systems
Principal investigator: Gerald M. Saidel, Ph.D., Case Western Reserve University
The Center for Modeling Integrated Metabolic Systems focused on quantifying relationships between cellular metabolism and physiological responses of tissue-organ systems and the whole body. Primary emphasis was on cellular metabolism in skeletal muscle, the brain, the heart and the liver to evaluate metabolic pathways and regulatory mechanisms under normal and abnormal states.
Web site: http://www.csuohio.edu/engineering/mims/contact.html