Proteome Expression Database of Lung Adenocarcinoma: a
Segment of the Genome Medicine Database of Japan Proteomics |
| Seiji Kosaihira1, 2, Yukako Tsunehiro1, Koji Tsuta3, Naobumi Tochigi4, Akihiko Gemma2, Setsuo Hirohahsi1, Tadashi Kondo1* |
1Proteome Bioinformatics Project, National Cancer Center Research Institute |
| 2Fourth Internal Department of Medicine, Nippon Medical School |
| 3Clinical Laboratory Division, National Cancer Center Hospital |
| 4Pathology Division, National Cancer Center Research Institute |
| *Corresponding author: |
Dr. Tadashi Kondo, MD, PhD,
Proteome
Bioinformatics Project, National Cancer Center Research
Institute,
5-1-
1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan,
Tel : +81-3-3542-2511
ext.3004,
Fax : +81-3-3547-5298,
E-mail: takondo@ncc.go.jp |
|
| Received September 26, 2009; Accepted November 23, 2009; Published
November 24, 2009 |
Citation: Kosaihira S, Tsunehiro Y, Tsuta K, Tochigi N, Gemma A, et al. (2009) Proteome Expression Database of Lung Adenocarcinoma: a segment
of the Genome Medicine Database of Japan Proteomics. J
Proteomics Bioinform 2: 463-465. doi: 10.4172/jpb.1000106 |
Copyright: ©2009 Kosaihira S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited. |
| Abstract |
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).
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