Heidi E. Greulich, Ph.D.
|Title||Instructor in Medicine|
|Institution||Dana-Farber Cancer Institute|
|Address||Dana Farber Cancer Institute|
7 Cambridge Center
Cambridge MA 02142
Available: 07/01/11, Expires: 07/01/13
Massively-parallel next-generation sequencing methods are generating somatic mutation data for cancer sequencing projects at ever-increasing rates. Statistical approaches to analyzing gene mutation frequencies can uncover evidence of positive selection, but identification of novel therapeutic targets in cancer requires experimental validation. We are searching for novel oncogenic mutants in somatic mutation data by testing observed variants in cellular transformation assays. We are also developing proteomic methods to identify novel gain-of-function alleles. A suitable student project currently available would include testing of inhibitors against novel ERBB2 mutations that we have uncovered. Additional projects could involve testing a defined set of somatic mutations for gain of function.
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