TY - GEN
T1 - Identification of differentially expressed proteins using MALDI-TOF mass spectra
AU - Liu, Qiuhua
AU - Krishnapuram, Balaji
AU - Pratapa, Pallavi
AU - Liao, Xuejun
AU - Hartemink, Alexander
AU - Carin, Lawrence
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09
PY - 2003/12/1
Y1 - 2003/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=4143132472&partnerID=8YFLogxK
M3 - Conference contribution
SP - 1323
EP - 1327
BT - Conference Record of the Asilomar Conference on Signals, Systems and Computers
ER -
