Literature DB >> 11587767

Gene expression microarrays and the integration of biological knowledge.

M O Noordewier1, P V Warren.   

Abstract

Large-scale parallel measurement of whole-genome RNA expression is now possible with high-density arrays of cDNA or oligonucleotides. Using this technology efficiently will require the integration of other sources of biological information, such as gene identity, biomedical literature and biochemical pathway for a given gene. Such integration is essential to understand the cellular program of gene expression and the molecular physiology of an organism. Advances in microarray technology, and the expected rapid rise in microarray data will lead to new insight into fundamental biological problems such as the prediction of gene function from expression profiles and the identification of potential drug targets from biologically active compounds.

Mesh:

Year:  2001        PMID: 11587767     DOI: 10.1016/S0167-7799(01)01735-8

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  14 in total

Review 1.  Expression profiling following traumatic brain injury: a review.

Authors:  Paolo G Marciano; James H Eberwine; Ramesh Ragupathi; Kathryn E Saatman; David F Meaney; Tracy K McIntosh
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

2.  Genomic portraits of the nervous system in health and disease.

Authors:  Velia D'Agata; Sebastiano Cavallaro
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

3.  Analysis of gene expression in pathophysiological states: balancing false discovery and false negative rates.

Authors:  Andrew W Norris; C Ronald Kahn
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-09       Impact factor: 11.205

Review 4.  Neuronal apoptosis revealed by genomic analysis: integrating gene expression profiles with functional information.

Authors:  Sebastiano Cavallaro
Journal:  Neuroinformatics       Date:  2007

5.  Optimization of oligonucleotide-based DNA microarrays.

Authors:  Angela Relógio; Christian Schwager; Alexandra Richter; Wilhelm Ansorge; Juan Valcárcel
Journal:  Nucleic Acids Res       Date:  2002-06-01       Impact factor: 16.971

6.  Transcriptomic response of murine liver to severe injury and hemorrhagic shock: a dual-platform microarray analysis.

Authors:  Rebecca D Edmonds; Yoram Vodovotz; Claudio Lagoa; Joyeeta Dutta-Moscato; Yawching Yang; Mitchell P Fink; Ryan M Levy; Jose M Prince; David J Kaczorowski; George C Tseng; Timothy R Billiar
Journal:  Physiol Genomics       Date:  2011-08-09       Impact factor: 3.107

7.  Low-level laser irradiation treatment reduces CCL2 expression in rat rheumatoid synovia via a chemokine signaling pathway.

Authors:  Lin Zhang; Jian Zhao; Noboru Kuboyama; Yoshimitsu Abiko
Journal:  Lasers Med Sci       Date:  2011-05-04       Impact factor: 3.161

8.  Fluorescent labelling of cRNA for microarray applications.

Authors:  Peter A C 't Hoen; Floor de Kort; G J B van Ommen; Johan T den Dunnen
Journal:  Nucleic Acids Res       Date:  2003-03-01       Impact factor: 16.971

9.  TIFA upregulation after hypoxia-reoxygenation is TLR4- and MyD88-dependent and associated with HMGB1 upregulation and release.

Authors:  Ning Ding; Yong Zhang; Patricia A Loughran; Qingde Wang; Allan Tsung; Timothy R Billiar
Journal:  Free Radic Biol Med       Date:  2013-05-28       Impact factor: 7.376

10.  Prosecutor: parameter-free inference of gene function for prokaryotes using DNA microarray data, genomic context and multiple gene annotation sources.

Authors:  Evert Jan Blom; Rainer Breitling; Klaas Jan Hofstede; Jos B T M Roerdink; Sacha A F T van Hijum; Oscar P Kuipers
Journal:  BMC Genomics       Date:  2008-10-21       Impact factor: 3.969

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