2010Expert Review of ProteomicsRequires access

Cancer proteome-expression database: Genome Medicine Database of Japan Proteomics

Tadashi Kondo

Open publisher page 13 citations

Abstract

The use of proteome-expression databases may facilitate cancer research. Proteome-expression data derived from a sufficient number of clinical cases may help establish the molecular background of malignant tumors. Recently, we published a proteome expression database, the Genome Medicine Database of Japan (GeMDBJ) Proteomics. The GeMDBJ Proteomics includes the proteome data of surgically resected tissues and tissue-cultured cells of various malignancies, as well as the corresponding biological and clinicopathological data. The proteome data in GeMDBJ Proteomics include expression data produced using 2D PAGE with the immobilized pH gradient gel and DIGE technology, and the protein identification data by liquid chromatography tandem mass spectrometry. GeMDBJ Proteomics can be freely accessed online without registration.

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What this paper is about

The use of proteome-expression databases may facilitate cancer research. Proteome-expression data derived from a sufficient number of clinical cases may help establish the molecular background of malignant tumors. Recently, we published a proteome expression database, the Genome Medicine Database of Japan (GeMDBJ) Proteomics. The GeMDBJ Proteomics includes the proteome data of surgically resected tissues and tissue-cultured cells of various malignancies, as well as the corresponding biological and clinicopathological data. The proteome data in GeMDBJ Proteomics include expression data produced using 2D PAGE with the immobilized pH gradient gel and DIGE technology, and the protein identification data by liquid chromatography tandem mass spectrometry. GeMDBJ Proteomics can be freely accessed online without registration.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The use of proteome-expression databases may facilitate cancer research. Proteome-expression data derived from a sufficient number of clinical cases may help establish the molecular background of malignant tumors. Recently, we published a proteome expression database, the Genome Medicine Database of Japan (GeMDBJ) Proteomics. The GeMDBJ Proteomics includes the proteome data of surgically resected tissues and tissue-cultured cells of various malignancies, as well as the corresponding biological and clinicopathological data. The proteome data in GeMDBJ Proteomics include expression data produced using 2D PAGE with the immobilized pH gradient gel and DIGE technology, and the protein identification data by liquid chromatography tandem mass spectrometry. GeMDBJ Proteomics can be freely accessed online without registration.

Key concepts: Proteome, Proteomics, Protein expression, Database, Computational biology, Identification (biology), Genome, Tandem mass spectrometry

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