Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells.

Autor: Atsushi Hijikata, Hiroshi Kitamura, Yayoi Kimura, Ryo Yokoyama, Yuichi Aiba, Yanyuan Bao, Shigeharu Fujita, Koji Hase, Shohei Hori, Yasuyuki Ishii, Osami Kanagawa, Hiroshi Kawamoto, Kazuya Kawano, Haruhiko Koseki, Masato Kubo, Ai Kurita-Miki, Tomohiro Kurosaki, Kyoko Masuda, Mitsumasa Nakata, Keisuke Oboki
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Zdroj: Bioinformatics; Nov2007, Vol. 23 Issue 21, p2934-2934, 1p
Abstrakt: Motivation: Although a huge amount of mammalian genomic data does become publicly available, there are still hurdles for biologists to overcome before such data can be fully exploited. One of the challenges for gaining biological insight from genomic data has been the inability to cross-reference transcriptomic and proteomic data using a single informational platform. To address this, we constructed an open-access database that enabled us to cross-reference transcriptomic and proteomic data obtained from immune cells. Results: The database, named RefDIC (Reference genomics Database of Immune Cells), currently contains: (i) quantitative mRNA profiles for human and mouse immune cells/tissues obtained using Affymetrix GeneChip technology; (ii) quantitative protein profiles for mouse immune cells obtained using two-dimensional gel electrophoresis (2-DE) followed by image analysis and mass spectrometry and (iii) various visualization tools to cross-reference the mRNA and protein profiles of immune cells. RefDIC is the first open-access database for immunogenomics and serves as an important information-sharing platform, enabling a focused genomic approach in immunology. Availability: All raw data and information can be accessed from http://refdic.rcai.riken.jp/. The microarray data is also available at http://cibex.nig.ac.jp/ under CIBEX accession no. CBX19, and http://www.ebi.ac.uk/pride/ under PRIDE accession numbers 2354–2378 and 2414. Contact: hijikata@rcai.riken.jp Supplementary information: Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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