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  • Research Focus

    Systems Biology of Disease

    We are developing computational and experimental approaches to search for new therapeutic strategies for diseases. New experimental methods make it possible to measure cellular changes across the genome and proteome. These technologies include genome-wide measurements of transcription, of protein-DNA interactions (ChIP-Seq), of genetic interactions, and of protein modifications. Each data source provides a very narrow view of the cellular changes. However, by computationally integrating these data we can reconstruct signaling pathways and identify previously unrecognized regulatory mechanisms that contribute to the etiology of disease and may provide new approaches for treatment.

    Current projects focus on the study of cancer, neurodegenerative diseases, and diabetes.

    Select Publications

    Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity
    Yeger-Lotem et al

  • Nature Genetics Published online: 22 February 2009
  • Online supplemental material
  • A Quantitative Model of Transcriptional Regulation Reveals the Influence of Binding Location on Expression
    MacIsaac et al

  • PLoS Comput Biol. 6(4): e1000773 (2010)
  • GEO
  • Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks
    Huang et al

  • Sci Signaling 2: ra40 (2009)
  • full text
  • See full publication list...


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