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Open Access Green as soon as Postprint is submitted to ZB.
Analyzing illumina gene expression microarray data obtained from human whole blood cell and blood monocyte samples.
Methods Mol. Biol. 1368, 85-97 (2016)
Microarray profiling of gene expression is widely applied to studies in molecular biology and functional genomics. Experimental and technical variations make not only the statistical analysis of single studies but also meta-analyses of different studies very challenging. Here, we describe the analytical steps required to substantially reduce the variations of gene expression data without affecting true effect sizes. A software pipeline has been established using gene expression data from a total of 3358 whole blood cell and blood monocyte samples, all from three German population-based cohorts, measured on the Illumina HumanHT-12 v3 BeadChip array. In summary, adjustment for a few selected technical factors greatly improved reliability of gene expression analyses. Such adjustments are particularly required for meta-analyses of different studies.
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Publication type
Article: Journal article
Document type
Scientific Article
Editors
Li, P.C.* ; Sedighi, A.* ; Wang, L.*
Keywords
Beadchip ; Gene Expression Analysis ; Human Monocytes ; Human Whole Blood Cells ; Illumina Humanht-12 ; Microarray ; Transcriptomics
ISSN (print) / ISBN
1064-3745
e-ISSN
1940-6029
Conference Title
Microarray Technology : Methods and Applications
Journal
Methods in Molecular Biology
Quellenangaben
Volume: 1368,
Pages: 85-97
Publisher
Springer
Publishing Place
Berlin [u.a.]
Reviewing status
Peer reviewed
Institute(s)
Institute of Human Genetics (IHG)