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- 近藤 格
- 国立がんセンター研究所プロテオームバイオインフォマティクスプロジェクト
書誌事項
- タイトル別名
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- 2D-DIGE for disease proteomics
- シッカン プロテオミクス ト ケイコウ ディフアレンス ゲル 2ジゲン デンキ エイドウ
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抄録
Proteomic study is an effective approach in the disease research, because proteomic aberrations should exist behind any type of diseases and it is proteome that directly regulate the disease phenotypes. Two-dimensional difference gel electrophoresis (2D-DIGE) is a high performance proteomic technology. Although it is based on two-dimensional gel electrophoresis (2D-PAGE), owing to its multiplex detection system, it solves many drawbacks of classical 2D-PAGE. 2D-DIGE allows obtain the quantitative protein expression profiles across many clinical specimens in a reproducible and high-throughout manner. 2D-DIGE with high sensitive fluorescent dyes enables the proteomic study on the laser microdissected tissues, and thus accurate proteomics can be achieved using 2D-DIGE. Mass spectrometry can identify the proteins corresponding to any spots observed by 2D-DIGE and we can utilize the gene and literature database to interpret the proteomic data. Bioinformatic approach can determine the proteomic signatures responsible for the important clinico-pathological features and identify a small number of key proteins, which will be candidates for disease markers and therapeutic targets. Combination between 2D-DIGE, mass spectrometry and bioinformatics approach will be a powerful tool for disease proteomics. The efforts to understand the overall feature of proteome by bioinformatics approach to 2D-DIGE data, together with the integrated information of the individual proteins identified by 2D-DIGE, will give us novel molecular backgrounds of the diseases. The proteome database should facilitate the use of the wealth of abundant information. The data integration between genome, transcriptome and proteome is also important approach to understand the background of proteomic aberrations in diseases.
収録刊行物
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- 生物物理化学
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生物物理化学 50 (3Special), 155-163, 2006
日本電気泳動学会
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詳細情報
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- CRID
- 1390001204201836544
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- NII論文ID
- 10018760543
- 130003607376
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- NII書誌ID
- AN00129729
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- ISSN
- 13499785
- 00319082
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- NDL書誌ID
- 8528077
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- データソース種別
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- JaLC
- NDL
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