Abstract
| DATE: | October 11, 2012 |
| TIME: | 1:15 - 3:00 pm |
| LOCATION: | Li Ka Shing Center for Learning (LKSC) 291 Campus Dr, Room LK 209 1:15 pm - 3:00 pm |
| TITLE: | Statistical Mass Spectrometry-based Proteomics |
| SPEAKER: | Olga Vitek, Associate Professor Department of Statistics, Department of Computer Science, Purdue University Currently Visiting Associate Professor, Department of Radiology and Canary Center, Stanford School of Medicine |
Mass spectrometry-based proteomics studies proteins in complex biological mixtures. It enables a global quantification of
relatively abundant proteins with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS), and a targeted
quantification of lower-abundant proteins with selected reaction monitoring (SRM). The accuracy of the workflows can be enhanced
by chemical or metabolic labeling. Additional spatial information can be extracted by acquiring spectra from adjacent locations
of a tissue in an imagining mode.
Stochastic variation and uncertainty in interpretation are hallmarks of proteomic experiments, and statistical experimental
design and analysis are key. Our goal is to develop statistical methodology for quantitative proteomics to
(i) accurately quantify proteins that change in abundance between conditions,
(ii) design cost-effective experiments that do not compromise the accuracy, and
(iii) maximize biologically relevant interpretations. While some of these goals can be achieved with standard statistical tools,
others require new and more complex solutions. This talk will discuss the methods that we recently developed,
as well as the open-source software available at www.stat.purdue.edu/~ovitek/
Suggested readings:
http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002277
http://mcponline.org/content/early/2011/12/21/mcp.M111.014662.abstract
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