論文 - 詳細
| RRC ID | 1931 |
|---|---|
| 著者 | Seike M, Kondo T, Fujii K, Yamada T, Gemma A, Kudoh S, Hirohashi S. |
| タイトル | Proteomic signature of human cancer cells. |
| ジャーナル | Proteomics |
| Abstract |
We assessed proteomic profiles as biomarkers for monitoring cell phenotypes. Protein expression profiles were obtained by fluorescence two-dimensional difference gel electrophoresis (2-D-DIGE), in which quantitative ability is improved by labeling proteins with fluorescent dyes prior to electrophoresis. Integrated protein spot intensities were analyzed by a statistical approach. The proteomic data of two groups of cell lines: (1) adenocarcinoma (AC) cell lines derived from lung, pancreas and colon tissues and (2) lung cancer cell lines with different histological backgrounds, including AC, squamous cell carcinoma and small cell carcinoma, were assessed on the basis of prior biological information. Hierarchical clustering analysis and principal component analysis were used to divide the cell lines into subgroups on the basis of similarities between their protein expression profiles. The majority of cell lines were grouped according to their organ of origin or histological background. A machine-learning algorithm selected 32 protein spots that were responsible for the classification. The results indicate that proteomic data generated by 2-D-DIGE can provide a signature of essential cell phenotypes, suggesting that it might be possible to apply this technique to developing tumor markers that could identify the organ of origin of metastatic tumors and contribute to the differential diagnosis of lung cancer. |
| 巻・号 | 4(9) |
| ページ | 2776-88 |
| 公開日 | 2004-9-1 |
| DOI | 10.1002/pmic.200300795 |
| PMID | 15352251 |
| MeSH | Cell Line, Tumor / classification Electrophoresis, Gel, Two-Dimensional / methods* Humans Image Processing, Computer-Assisted Lung Neoplasms / classification Lung Neoplasms / genetics Lung Neoplasms / metabolism Molecular Sequence Data Neoplasm Proteins / analysis* Neoplasms / metabolism* Phenotype Phylogeny Proteome / analysis* |
| IF | 3.254 |
| 引用数 | 48 |
| WOS 分野 | BIOCHEMICAL RESEARCH METHODS BIOCHEMISTRY & MOLECULAR BIOLOGY |
| オルトメトリクス指標 |
オルトメトリクス指標項目
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| 最多言及媒体 | Patent(IFI CLAIMS) |
| 各媒体での言及数の合計 | 3 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.0 |
| リソース情報 | |
| ヒト・動物細胞 | CACO-2(RCB0988) COLO-320(RCB1193) LC-1F(RCB0439) LC-1/sq(RCB0455) LC-2/ad(RCB0440) Lu-134-A(RCB0466) Lu-135(RCB0468) Lu-139(RCB0469) Lu-140(RCB0470) Lu-165(RCB1184) MS-1(RCB0725) PC-14(RCB0446) RERF-LC-AI(RCB0444) RERF-LC-KJ(RCB1313) |