Vamsi K. Mootha, M.D.
Assistant Professor of Systems Biology
Department of Medicine
Massachusetts General Hospital
Broad Institute of MIT and Harvard
Phone: (617) 643-3096
Fax: (617) 643-3203
Email:
Web site: http://mootha.med.harvard.edu/
Assistant: Alice McKenney
E-mail:
Phone: (617) 643-3059
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Vamsi Mootha received a B.S. in Mathematical and Computational Sciences
from Stanford University and an M.D. from the Harvard-MIT Division
of Health Sciences and Technology. After completing his Internship
and Residency in Internal Medicine at Brigham and Women’s Hospital,
he conducted postdoctoral research at the Whitehead Institute at MIT.
He received a MacArthur Fellowship in 2004 for his contributions to
mitochondrial biology.
Research Summary
Mitochondria are tiny organelles found in nearly all cells, serving
as the center stage for ATP production, ion homeostasis, and apoptosis. Their
composition, density, and coupling efficiency are dynamic properties,
varying across cell types and adapting to changes in energetic status
during growth and differentiation. Recent studies have implicated
mitochondrial dysfunction in a variety of human diseases, including
diabetes, cancer, neurodegeneration, and aging. My group is broadly
interested in characterizing the structure and dynamic properties of
the biological networks underlying mitochondrial function, linking
variation in these parameters to genetic variation, and exploiting
the network properties of the organelle to design therapies for human
disease.
To achieve these goals, we are using experimental approaches that
combine classic biochemistry with the new tools of genomics. We
make chemical and genetic perturbations in cellular systems that can
be systematically profiled using microarrays and tandem mass spectrometry. We
are also developing computational and statistical techniques to integrate
these vast datasets with the goal of linking biological networks to
measures of biochemical function. In this manner we hope to construct
predictive models of mitochondrial remodeling that can then be validated
with additional rounds of perturbation.
Simultaneously, we are working in close collaboration with clinicians
and geneticists to apply genome-scale profiling technologies to study
human metabolic disorders. Currently our clinical studies are
focused on respiratory chain diseases and insulin resistance. By
integrating the results from our in vitro experiments with
those from our human studies, we hope to uncover the biological networks
that are operative in human disease. Using this approach we recently
discovered a transcriptional network mediating mitochondrial biogenesis
that appears to be altered in the common form of diabetes. The
results shed insights into the pathophysiology of diabetes, and importantly,
suggest a new therapeutic strategy for this very common disease.
Selected References
Wagner, B.K. et al. (2008) Large-scale chemical dissection of mitochondrial function. Nat. Biotechnol., in press.
Cunningham , J.T. et al. (2007) mTOR controls mitochondrial oxidative function through a YY1/PGC-1a transcriptional complex. Nature Nov 29;450:736-40.
Calvo, S., et al. (2006) Systematic identification of human mitochondrial disease genes through integrative genomics. Nat. Genet.
38:576-582.
Spinazzola, A. et al. (2006) MPV17 encodes an inner mitochondrial membrane protein and is mutated in infantile hepatic mitochondrial DNA depletion. Nat. Genet. 38:570-575.
Mootha, V.K. et al. (2004) Erra and Gabpa/b specify the PGC-1a-dependent transcriptional program that is altered in diabetic muscle. Proc. Natl. Acad. Sci. U.S.A. 101:6570-5.
Mootha, V.K. et al. (2003) Integrated analysis of protein composition, tissue diversity, and gene regulation in mouse mitochondria. Cell 115:629-640.
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