Zeitschrift für Proteomik und Bioinformatik
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Proteome Expression Database of Lung Adenocarcinoma: a segment of the Genome Medicine Database of Japan Proteomics

Seiji Kosaihira, Yukako Tsunehiro, Koji Tsuta, Naobumi Tochigi, Akihiko Gemma, Setsuo Hirohahsi and Tadashi Kondo

Lung cancer is a leading cause of cancer death worldwide, and lung cancer proteomics studies have been carried out to reveal the molecular background of cancer phenotypes and to develop clinically relevant applications. Here, we report an open-access proteome expression database derived from the study of 262 lung cancer cases using data extracted by two-dimensional difference gel electrophoresis (2D-DIGE) and mass spectrometry. Proteins extracted from primary tumor tissues were labeled with CyDye DIGE Fluor saturation dye, and separated using a large format electrophoresis device, generating 3179 protein spots. Mass spectrometry following in-gel digestion identified 487 proteins corresponding to 721 protein spots. Multiple proteins were observed from single protein spots, and single proteins generated multiple protein spots, suggesting diversity of the proteome. The results of 2D-DIGE and protein identification, and part of the corresponding clinico-pathological data are freely accessible in the public proteome database Genome Medicine Database of Japan Proteomics (GeMDBJ Proteomics, http://gemdbj.nibio.go.jp/dgdb/DigeTop.do).