UCSF HELEN DILLER FAMILY COMPREHENSIVE CANCER CENTER
4mNpr6
4mNpr6
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Presentations<br />
Overcoming mTOR resistance mutations with a new generation<br />
mTOR inhibitor<br />
Authors*: Vanessa S. Rodrik-Outmezguine, Masanori Okaniwa, Zhan Yao, Chris Novotny,<br />
Claire McWhirter, Arpitha Banaji, Helen Won, Wai Wong, Mike Berger, Elisa de Stanchina,<br />
Derek G. Barrae, Sabina Cosulich, Teresa Klinowska, Neal Rosen, Kevan M. Shokat<br />
Pres #: 2147 Section: 18 Presentation Date/Time: Monday, April 18: 1:00-5:00PM<br />
Location:<br />
Presentation Type: Poster Session<br />
Shokat Lab Expertise: My lab focuses on discovery of new chemical tools to decipher cellular signaling<br />
networks, particularly protein kinases and GTPases. Analysis of signal transduction pathways is challenging<br />
using traditional tools. Biochemical approaches have limited utility since signaling networks span from the cell<br />
surface to the nucleus, confounding reconstitution efforts. Genetic approaches allow specific perturbations,<br />
yet can be confounded by the emergent properties of signaling cascades. Chemical and pharmacological<br />
approaches enable rapid, reversible & graded inactivation of single components, but highly selective chemical<br />
probes are difficult to develop. My lab has solved this problem for protein kinases with a strategy based on a<br />
combination of protein engineering and organic synthesis.<br />
http://shokatlab.ucsf.edu/<br />
__________________________________________________________________________<br />
Functional characterization of combining epigenetic modifiers<br />
azacitidine and AG-221 in the TF-1:IDH2R140Q AML model<br />
Authors*: Vivek S. Chopra, Brian Avanzino, Konstantinos Mavrommatis, Adam Olshen, Jorge DiMartino,<br />
Kyle J. MacBeth<br />
Pres #: 2280 Section: 23 Presentation Date/Time: Monday, April 18: 1:00-5:00PM<br />
Location:<br />
Presentation Type: Poster Session<br />
Olshen Lab Expertise: My research is focused on developing statistical tools that enhance understanding of<br />
genomic data. Tools that I have helped to develop are Circular Binary Segmentation (CBS) for analyzing copy<br />
number data, iCluster for integrating multiple types of genomic data, and Babel for identifying genes with<br />
unusual levels of translation from ribosome profiling data. I have additional projects in machine learning and<br />
analysis of genomic data sets with few replicates. I lead a team of computational biologists as Director of the<br />
Computational Biology Core in the Helen Diller Family Comprehensive Cancer Center.<br />
http://cancer.ucsf.edu/people/profiles/olshen_adam.3576<br />
*<strong>UCSF</strong> authors in bold<br />
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