Cancer Biology and Cancer Stem Cells
Showing 1-5 of 5 Results
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Peter K. Jackson
Professor of Microbiology and Immunology (Baxter Labs) and of Pathology
Current Research and Scholarly InterestsCell cycle and cyclin control of DNA replication .
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Siddhartha Jaiswal
Associate Professor of Pathology
Current Research and Scholarly InterestsWe identified a common disorder of aging called clonal hematopoiesis of indeterminate potential (CHIP). CHIP occurs due to certain somatic mutations in blood stem cells and represents a precursor state for blood cancer, but is also associated with increased risk of cardiovascular disease and death. We hope to understand more about the biology and clinical implications of CHIP using human and model system studies.
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Daniel Jarosz
Senior Associate Dean, Basic Science, Professor of Chemical and Systems Biology and of Developmental Biology
Current Research and Scholarly InterestsMy laboratory studies conformational switches in evolution, disease, and development. We focus on how molecular chaperones, proteins that help other biomolecules to fold, affect the phenotypic output of genetic variation. To do so we combine classical biochemistry and genetics with systems-level approaches. Ultimately we seek to understand how homeostatic mechanisms influence the acquisition of biological novelty and identify means of manipulating them for therapeutic and biosynthetic benefit.
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Livnat Jerby
Assistant Professor of Genetics
Current Research and Scholarly InterestsCombining and advancing functional genomics, cell engineering, synthetic biology, AI, and basic immunology to uncover, decode, rewire, and develop mechanisms to selectively eliminate and reprogram disease-driving cells as a foundation for disease treatment and prevention.
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Hanlee P. Ji
Professor of Medicine (Oncology) and, by courtesy of Electrical Engineering
Current Research and Scholarly InterestsCancer genomics and genetics, translational applications of next generation sequencing technologies, development of molecular signatures as prognostic and predictive biomarkers in oncology, primary genomic and proteomic technology development, cancer rearrangements, genome sequencing, big data analysis