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LabAutomation 2006 - SLAS

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Where Laboratory Technologies Emerge and Merge<br />

3:30 pm Tuesday, January 24, <strong>2006</strong> Track 1: Detection & Separation Room: Catalina<br />

Wyndham Palm Springs Hotel<br />

James Rubenstein<br />

Co-Author(s)<br />

University of California, San Francisco<br />

Mimi Roy, Chris Becker, Howard Schulman<br />

San Francisco, California<br />

jamesr@medicine.ucsf.edu<br />

PPD<br />

Toward Lymphoma Biomarkers: Deep-Look Mass Spectrometry-Based Expression<br />

Profiling, Identification and Validation in the Cerebrospinal Fluid.<br />

Central nervous system lymphoma is usually an aggressive form of non-Hodgkin’s lymphoma. The current means for establishing its<br />

diagnosis are 1) brain biopsy, which is associated with risk of brain hemorrhage; or 2) cytological analysis of the cerebrospinal fluid (CSF),<br />

which is insensitive in over 50% of cases. The identification of sensitive and specific biomarkers are needed to facilitate early, non-invasive<br />

diagnosis of this disease. We are testing the hypothesis that such biomarkers are present in the CSF.<br />

We describe a two-dimensional liquid chromatography-mass spectrometry-based method for differential quantification and identification<br />

of several hundred CSF proteins. Proprietary spectral interpretation and intensity-normalization software were developed to quantify the<br />

difference in expression level of proteins between controls and lymphoma patients in CSF using relative component intensities. No isotope<br />

tags were used.<br />

An application of this approach to biomarker discovery in CSF is presented. We performed two sets of analyses using independent CSF<br />

specimens. In the experimental set we compared the pattern of expression in 9 control vs 9 cases of CNS lymphoma. 130 peptides<br />

were differentially expressed between the two groups (p

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