Proteome Expression Database of Ewing Sarcoma: a Segment
of the Genome Medicine Database of Japan Proteomics |
| Kazutaka Kikuta1,2, Yukako Tsunehiro1, Akihiko Yoshida3, Naobumi Tochigi4,
Setsuo Hirohahsi1, Akira Kawai2, Tadashi Kondo1* |
| 1Proteome Bioinformatics Project, National Cancer Center Research Institute |
| 2Orthopedics Division, National Cancer Center Hospital |
| 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 December 07, 2009; Accepted December 19, 2009; Published
December 20, 2009 |
Citation: Kikuta K, Tsunehiro Y, Yoshida A, Tochigi N, Hirohahsi S, et al.
(2009) Proteome Expression Database of Ewing sarcoma: a segment
of the Genome Medicine Database of Japan Proteomics. J Proteomics
Bioinform
2: 500-504. doi:10.4172/jpb.1000112 |
|
| |
Copyright: © 2009 Kikuta K, 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 |
Ewing sarcoma is the second most common primary malignant
bone tumor in children and adolescents worldwide.
Here, we report an open-access proteome expression database
of eight Ewing sarcoma cases using proteome data
obtained 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 2431 protein
spots. Mass spectrometry following in-gel digestion identified
330 protein spots corresponding to 220 proteins.
Multiple proteins were observed from single protein spots,
and single proteins generated multiple protein spots, suggesting
diversity of the proteome observed by 2D-DIGE.
The results of 2D-DIGE and protein identification by mass
spectrometry, and part of the corresponding clinico-pathological
data such as prognosis after treatments are freely
accessible in the public proteome database Genome Medicine
Database of Japan Proteomics (GeMDBJ Proteomics, https://gemdbj.nibio.go.jp/dgdb/DigeTop.do). |
|
|
|