Systems Biology Approaches for Cancer Diagnostics and Therapeutics
Nicholas Graham, Department of Molecular and Medical Pharmacology University of California, Los Angeles
Tuesday, January 21, 2014
Engineering Research Center (ENGRC) 490 [map]
Oncology is becoming a quantitative, multiparameter science, enabling the development of integrated, systems models that bridge traditional biology and engineering. Here, Nicholas Graham will present three studies that highlight translational systems biology approaches to cancer diagnostics and therapeutics: i) elucidation of a signaling and metabolism positive feedback loop that regulates cell death following glucose withdrawal; ii) development of novel computational tools for analysis of multiparameter, single-cell data from brain tumor biopsies; and iii) phospho-proteomic analysis of mouse and human prostate cancer tissues to identify druggable tyrosine kinases. Together, these approaches demonstrate the power of quantitative systems approaches to unravel complex biology to reveal new diagnostic and therapeutic strategies for cancer.
Nicholas Graham received his bachelor’s degree in Chemical Engineering and French in 2001 from Washington University in St. Louis. He then moved to Caltech, where he studied crosstalk within signal transduction networks under the mentorship of Anand Asthagiri. After receiving his Ph.D. in Chemical Engineering in 2007, Graham moved to UCLA, where he has been working with Tom Graeber in the Department of Molecular and Medical Pharmacology on systems biology approaches to cancer, in particular using proteomic approaches to analyze tyrosine kinase signaling.