Identification of differentially expressed proteins using MALDI-TOF mass spectra

Qiuhua Liu, Balaji Krishnapuram, Pallavi Pratapa, Xuejun Liao, Alexander Hartemink, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

In the search for diagnostic and therapeutic strategies for lung cancer, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been evinced as a new and promising discovery platform to generate protein expression profiles in search of overexpressed proteins in lung tumors. Data from MALDI-TOF spectra require considerable signal processing such as noise removal and baseline level error correction. In this study, we discuss our preliminary approaches to these issues. We further present a novel algorithm that identified two proteins that are differentially expressed between tumor and normal tissues in patients with lung cancer. The overexpression of these two proteins was confirmed by immunoblotting, and their localization to tumor cells was studied by immunohistochemistry. Our results indicate that the proposed schemes enable accurate diagnosis based on the overexpression of a small number of identified proteins with high sensitivity, suggesting that these proteins would be helpful in further study of drug design.
Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
Pages1323-1327
Number of pages5
StatePublished - Dec 1 2003
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-09

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