Literature DB >> 19212713

Expression Profiling Using Affymetrix GeneChip Microarrays.

Herbert Auer1, David L Newsom, Karl Kornacker.   

Abstract

The approximately 25,000 genes in mammalian genomes can be transcribed at different levels. Measurements of gene expression for ten thousands of genes in parallel give the most comprehensive picture of steady-state levels of transcripts and is used in basic and applied research. Microarrays are the most frequently used technology for genome-wide expression profiling; from the various available microarray platforms, Affymetrix GeneChips are most frequently used for expression profiling and over 3,000 scientific publications describe results of this technology. In medical research, expression profiling by microarrays holds great promises for better understanding of diseases, identification of new therapeutic targets, and subclassification of diseases to identify individualized treatment strategies.

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Year:  2009        PMID: 19212713     DOI: 10.1007/978-1-59745-372-1_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

Review 1.  MicroRNAs and their roles in osteoclast differentiation.

Authors:  Zhuying Xia; Chao Chen; Peng Chen; Hui Xie; Xianghang Luo
Journal:  Front Med       Date:  2011-12-27       Impact factor: 4.592

Review 2.  Quality assurance of RNA expression profiling in clinical laboratories.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  J Mol Diagn       Date:  2011-10-20       Impact factor: 5.568

Review 3.  Systems biology in physiology: the vasopressin signaling network in kidney.

Authors:  Mark A Knepper
Journal:  Am J Physiol Cell Physiol       Date:  2012-08-29       Impact factor: 4.249

Review 4.  Cellular and bacterial profiles associated with oral epithelium-microbiota interactions.

Authors:  Jeffrey J Mans; Erik L Hendrickson; Murray Hackett; Richard J Lamont
Journal:  Periodontol 2000       Date:  2010-02       Impact factor: 7.589

5.  Large scale analysis of positional effects of single-base mismatches on microarray gene expression data.

Authors:  Fenghai Duan; Mark A Pauley; Eliot R Spindel; Li Zhang; Robert B Norgren
Journal:  BioData Min       Date:  2010-04-29       Impact factor: 2.522

6.  Comprehensive survey of SNPs in the Affymetrix exon array using the 1000 Genomes dataset.

Authors:  Eric R Gamazon; Wei Zhang; M Eileen Dolan; Nancy J Cox
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

7.  Systematic evaluation of three microRNA profiling platforms: microarray, beads array, and quantitative real-time PCR array.

Authors:  Bin Wang; Paul Howel; Skjalg Bruheim; Jingfang Ju; Laurie B Owen; Oystein Fodstad; Yaguang Xi
Journal:  PLoS One       Date:  2011-02-11       Impact factor: 3.240

8.  Profiling spermatogenic failure in adult testes bearing Sox9-deficient Sertoli cells identifies genes involved in feminization, inflammation and stress.

Authors:  Aurélie Lardenois; Frédéric Chalmel; Francisco Barrionuevo; Philippe Demougin; Gerd Scherer; Michael Primig
Journal:  Reprod Biol Endocrinol       Date:  2010-12-23       Impact factor: 5.211

9.  Identification of Potential Anticancer Activities of Novel Ganoderma lucidum Extracts Using Gene Expression and Pathway Network Analysis.

Authors:  Chi H J Kao; Karen S Bishop; Yuanye Xu; Dug Yeo Han; Pamela M Murray; Gareth J Marlow; Lynnette R Ferguson
Journal:  Genomics Insights       Date:  2016-02-16

10.  Clinical implementation of RNA signatures for pharmacogenomic decision-making.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  Pharmgenomics Pers Med       Date:  2011-09-08
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