Center for Complex Biological SystemsPrincipal investigator: Arthur Lander, M.D., Ph.D., University of California, IrvineThe 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.
Center for Genome DynamicsPrincipal investigator: Gary Churchill, Ph.D., The Jackson LaboratoryThe 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:
Center for RNA Systems Biology
Principal investigator: Jamie Cate, Ph.D., University of California, BerkeleyThe 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.
Center for Systems and Synthetic Biology
Principal investigator: Wendell Lim, Ph.D., University of California, San FranciscoThe 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:
Center for Systems BiologyPrincipal investigator: John Aitchison, Ph.D., Institute for Systems BiologyThe 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:
Center for Systems Biology of Retrotransposition
Principal investigator: Jef D. Boeke, Ph.D., Johns Hopkins University School of MedicineThe 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:
Center for the Spatiotemporal Modeling of Cell SignalingPrincipal investigator: Bridget Wilson, Ph.D., University of New MexicoThe 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:
HMS Laboratory of Systems PharmacologyPrincipal investigator: Peter Sorger, Ph.D., Harvard Medical SchoolThe HMS Laboratory of Systems Pharmacology is a multidisciplinary effort focused on integrating computational and systems approaches into all phases of drug discovery and development. The group applies a combined measure-model approach to understanding the mechanisms of action of therapeutic drugs in multiple disease areas.Web site:
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.
MIT Center for Integrative Synthetic Biology
Principal investigator: Ron Weiss, Ph.D., Massachusetts Institute of TechnologyThe MIT Center for Integrative Synthetic Biology 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.
San Diego Center for Systems BiologyPrincipal investigator: Trey Ideker, Ph.D., University of California, San DiegoThe San Diego Center for Systems Biology
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.
Stanford Center for Systems BiologyPrincipal investigators: James E. Ferrell, M.D., Ph.D., and Tobias Meyer, Ph.D., Stanford University School of MedicineThe 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:
Systems Biology Center New YorkPrincipal investigator: Ravi Iyengar, Ph.D., Mount Sinai School of MedicineThe 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:
The Virtual Physiological Rat ProjectPrincipal investigator: Daniel Beard, Ph.D., University of MichiganThe 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:
Cell Decision Process CenterPrincipal investigator: Peter Sorger, Ph.D., Massachusetts Institute of TechnologyThe 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:
Center for Cell DynamicsPrincipal investigator: Garrett M. Odell, Ph.D., University of Washington Friday Harbor LaboratoriesThe 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.
Center for Modeling Integrated Metabolic SystemsPrincipal investigator: Gerald M. Saidel, Ph.D., Case Western Reserve UniversityThe 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:
Center for Modular BiologyPrincipal investigator: Andrew Murray, Ph.D., Harvard UniversityThe 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:
Center for Quantitative BiologyPrincipal investigator: David Botstein, Ph.D., Princeton UniversityThe 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:
Chicago Center for Systems BiologyPrincipal investigator: Kevin White, Ph.D., University of ChicagoThe 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:
Duke Center for Systems BiologyPrincipal investigator: Philip Benfey, Ph.D., Duke UniversityThe 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.
This page last reviewed on
5/6/2019 3:21 PM
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