Proteomic comparison of two-dimensional gel electrophoresis profiles from human lung squamous carcinoma and normal bronchial epithelial tissues.
- Author:
Cui LI
;
Xianquan ZHAN
;
Maoyu LI
;
Xiaoying WU
;
Feng LI
;
Jianling LI
;
Zhiqiang XIAO
;
Zhuchu CHEN
;
Xueping FENG
;
Ping CHEN
;
Jingyun XIE
;
Songping LIANG
- Publication Type:Letter
- MeSH:
Amino Acid Sequence;
Bronchi;
pathology;
Carcinoma, Squamous Cell;
genetics;
pathology;
Databases as Topic;
Electrophoresis, Gel, Two-Dimensional;
methods;
Electrophoresis, Polyacrylamide Gel;
Epithelial Cells;
pathology;
Gene Expression Regulation, Neoplastic;
Humans;
Image Processing, Computer-Assisted;
Isoelectric Focusing;
Lung Neoplasms;
genetics;
pathology;
Molecular Sequence Data;
Proteomics;
methods;
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
- From:
Genomics, Proteomics & Bioinformatics
2003;1(1):58-67
- CountryChina
- Language:English
-
Abstract:
Differential proteome profiles of human lung squamous carcinoma tissue compared to paired tumor-adjacent normal bronchial epithelial tissue were established and analyzed by means of immobilized pH gradient-based two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS). The results showed that well-resolved, reproducible 2-DE patterns of human lung squamous carcinoma and adjacent normal bronchial epithelial tissues were obtained under the condition of 0.75-mg protein-load. The average deviation of spot position was 0.733+/-0.101 mm in IEF direction, and 0.925+/-0.207 mm in SDS-PAGE direction. For tumor tissue, a total of 1241+/-88 spots were detected, 987+/-65 spots were matched with an average matching rate of 79.5%. For control, a total of 1190+/-72 spots were detected, and 875+/-48 spots were matched with an average matching rate of 73.5%. A total of 864+/-34 spots were matched between tumors and controls. Forty-three differential proteins were characterized: some proteins were related to oncogenes, and others involved in the regulation of cell cycle and signal transduction. It is suggested that the differential proteomic approach is valuable for mass identification of differentially expressed proteins involved in lung carcinogenesis. These data will be used to establish human lung cancer proteome database to further study human lung squamous carcinoma.
