Literature DB >> 17893089

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

Atsushi Hijikata1, 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, Hiroshi Ohno, Mariko Okamoto, Yoshimichi Okayama, Jiyang O-Wang, Hirohisa Saito, Takashi Saito, Machie Sakuma, Katsuaki Sato, Kaori Sato, Ken-ichiro Seino, Ruka Setoguchi, Yuki Tamura, Masato Tanaka, Masaru Taniguchi, Ichiro Taniuchi, Annabelle Teng, Takeshi Watanabe, Hiroshi Watarai, Sho Yamasaki, Osamu Ohara.   

Abstract

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.

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Year:  2007        PMID: 17893089     DOI: 10.1093/bioinformatics/btm430

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  43 in total

1.  LRRK2 is involved in the IFN-gamma response and host response to pathogens.

Authors:  Agnès Gardet; Yair Benita; Chun Li; Bruce E Sands; Isabel Ballester; Christine Stevens; Joshua R Korzenik; John D Rioux; Mark J Daly; Ramnik J Xavier; Daniel K Podolsky
Journal:  J Immunol       Date:  2010-10-04       Impact factor: 5.422

2.  Bifidobacteria can protect from enteropathogenic infection through production of acetate.

Authors:  Shinji Fukuda; Hidehiro Toh; Koji Hase; Kenshiro Oshima; Yumiko Nakanishi; Kazutoshi Yoshimura; Toru Tobe; Julie M Clarke; David L Topping; Tohru Suzuki; Todd D Taylor; Kikuji Itoh; Jun Kikuchi; Hidetoshi Morita; Masahira Hattori; Hiroshi Ohno
Journal:  Nature       Date:  2011-01-27       Impact factor: 49.962

3.  M-Sec: Emerging secrets of tunneling nanotube formation.

Authors:  Hiroshi Ohno; Koji Hase; Shunsuke Kimura
Journal:  Commun Integr Biol       Date:  2010-05

4.  Semantic integration of data on transcriptional regulation.

Authors:  Michael Baitaluk; Julia Ponomarenko
Journal:  Bioinformatics       Date:  2010-04-28       Impact factor: 6.937

Review 5.  Immunogenomics and systems biology of vaccines.

Authors:  Luigi Buonaguro; Bali Pulendran
Journal:  Immunol Rev       Date:  2011-01       Impact factor: 12.988

6.  CD4 memory T cells develop and acquire functional competence by sequential cognate interactions and stepwise gene regulation.

Authors:  Tomohiro Kaji; Atsushi Hijikata; Akiko Ishige; Toshimori Kitami; Takashi Watanabe; Osamu Ohara; Noriyuki Yanaka; Mariko Okada; Michiko Shimoda; Masaru Taniguchi; Toshitada Takemori
Journal:  Int Immunol       Date:  2015-12-29       Impact factor: 4.823

Review 7.  Antiviral innate immunity through the lens of systems biology.

Authors:  Shashank Tripathi; Adolfo Garcia-Sastre
Journal:  Virus Res       Date:  2015-12-03       Impact factor: 3.303

8.  Mina, an Il4 repressor, controls T helper type 2 bias.

Authors:  Mariko Okamoto; Melanie Van Stry; Linda Chung; Madoka Koyanagi; Xizhang Sun; Yoshie Suzuki; Osamu Ohara; Hiroshi Kitamura; Atsushi Hijikata; Masato Kubo; Mark Bix
Journal:  Nat Immunol       Date:  2009-06-28       Impact factor: 25.606

9.  M-Sec promotes membrane nanotube formation by interacting with Ral and the exocyst complex.

Authors:  Koji Hase; Shunsuke Kimura; Hiroyuki Takatsu; Masumi Ohmae; Sayaka Kawano; Hiroshi Kitamura; Masatoshi Ito; Hiroshi Watarai; C Clayton Hazelett; Charles Yeaman; Hiroshi Ohno
Journal:  Nat Cell Biol       Date:  2009-11-22       Impact factor: 28.824

10.  Genome-wide analysis of immune system genes by expressed sequence Tag profiling.

Authors:  Cosmas C Giallourakis; Yair Benita; Benoit Molinie; Zhifang Cao; Orion Despo; Henry E Pratt; Lawrence R Zukerberg; Mark J Daly; John D Rioux; Ramnik J Xavier
Journal:  J Immunol       Date:  2013-04-24       Impact factor: 5.422

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