Literature DB >> 15137950

Genomics in the immune system.

Tineke C M T van der Pouw Kraan1, Pia V Kasperkovitz, Nicolette Verbeet, Cornelis L Verweij.   

Abstract

The analysis of gene expression in tissues, cells, and biologic systems has evolved in the last decade from the analysis of a selected set of genes to an efficient high throughput whole-genome screening approach of potentially all genes expressed in a tissue or cell sample. Development of sophisticated methodologies such as microarray technology allows an open-ended survey to identify comprehensively the fraction of genes that are differentially expressed between samples and define the samples' unique biology. This discovery-based research provides the opportunity to characterize either new genes with unknown function or genes not previously known to be involved in a biologic process. The latter category may hold surprises that sometimes urge us to redirect our thinking. Here, we review the impact of large-scale gene expression profiling by DNA-microarray technology on basic and clinical aspects of immunology.

Mesh:

Year:  2004        PMID: 15137950     DOI: 10.1016/j.clim.2004.01.001

Source DB:  PubMed          Journal:  Clin Immunol        ISSN: 1521-6616            Impact factor:   3.969


  4 in total

1.  Transcriptional profiling reveals a possible role for the timing of the inflammatory response in determining susceptibility to a viral infection.

Authors:  Thomas Ruby; Catherine Whittaker; David R Withers; Mounira K Chelbi-Alix; Veronique Morin; Anne Oudin; John R Young; Rima Zoorob
Journal:  J Virol       Date:  2006-09       Impact factor: 5.103

2.  Biological mechanism analysis of acute renal allograft rejection: integrated of mRNA and microRNA expression profiles.

Authors:  Shi-Ming Huang; Xia Zhao; Xue-Mei Zhao; Xiao-Ying Wang; Shan-Shan Li; Yu-Hui Zhu
Journal:  Int J Clin Exp Med       Date:  2014-12-15

3.  The molecular immunology of mucositis: implications for evidence-based research in alternative and complementary palliative treatments.

Authors:  Francesco Chiappelli
Journal:  Evid Based Complement Alternat Med       Date:  2005-12       Impact factor: 2.629

4.  Proteomic analysis of chicken peripheral blood mononuclear cells after infection by Newcastle disease virus.

Authors:  Xiaoyu Deng; Yanlong Cong; Renfu Yin; Guilian Yang; Chan Ding; Shengqing Yu; Xiufan Liu; Chunfeng Wang; Zhuang Ding
Journal:  J Vet Sci       Date:  2014-09-17       Impact factor: 1.672

  4 in total

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