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<font size=3>Free Thermo Scientific Webinar:</font><br />Configurable Quantitative Mass Spectrometry Assays for Elucidation of Cancer Biology and Patient Assessment Free Thermo Scientific Webinar:
Configurable Quantitative Mass Spectrometry Assays for Elucidation of Cancer Biology and Patient Assessment

[March 10, 2010]

Latest Thermo Scientific Webinar for Proteomics

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Thermo Scientific

Configurable Quantitative Mass Spectrometry Assays
for Elucidation of Cancer Biology and Patient Assessment

 

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Targeted protein quantification by selected reaction monitoring (SRM) on tandem mass spectrometers is rapidly becoming an essential technique for investigation and monitoring of complex signaling pathways and biological processes. In cancer biology, the information it can provide can have direct implications for patient assessment, including assessment of drug resistance and metastasis. Informed by existing knowledge of cancer biology and prior experiments in gene expression profiling, assays can be developed to measure hypothesis-driven protein targets in tumor cells.

As examples, NF-kB survival signaling, apoptosis-related proteins in the Bcl-2 family, and DNA damage response elements are measured in models of acquired drug resistance in multiple myeloma. Assays targeting b-catenin signaling have been successfully translated into frozen colon tissue sections and laser capture microdissected tumor cells to examine tumor biology in situ.

Dr. Koomen's presentation will discuss these and other examples, exploring the development of targeted protein assays based on existing knowledge and research. It will also focus on translation of methods from preliminary screens performed on cell lines to assays for patient specimens.


Your presenter

John Koomen

John Koomen
Assistant Professor in Molecular Oncology
and Experimental Therapeutics
Scientific Director of Proteomics
H. Lee Moffitt Cancer Center & Research Institute
Tampa, Florida, USA



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November 17, 2009

Targeted protein/peptide quantification using Pinpoint software and intelligent SRM on the TSQ triple quadrupole mass spectrometers
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November 17, 2009

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September 22, 2009

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July 22, 2009

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May 19, 2009

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March 17, 2009

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April 22, 2008

 

 

 

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