Literature DB >> 16647037

Spotting and validation of a genome wide oligonucleotide chip with duplicate measurement of each gene.

Mads Thomassen1, Vibe Skov, Freyja Eiriksdottir, Qihua Tan, Kirsten Jochumsen, Niels Fritzner, Klaus Brusgaard, Jesper Dahlgaard, Torben A Kruse.   

Abstract

The quality of DNA microarray based gene expression data relies on the reproducibility of several steps in a microarray experiment. We have developed a spotted genome wide microarray chip with oligonucleotides printed in duplicate in order to minimise undesirable biases, thereby optimising detection of true differential expression. The validation study design consisted of an assessment of the microarray chip performance using the MessageAmp and FairPlay labelling kits. Intraclass correlation coefficient (ICC) was used to demonstrate that MessageAmp was significantly more reproducible than FairPlay. Further examinations with MessageAmp revealed the applicability of the system. The linear range of the chips was three orders of magnitude, the precision was high, as 95% of measurements deviated less than 1.24-fold from the expected value, and the coefficient of variation for relative expression was 13.6%. Relative quantitation was more reproducible than absolute quantitation and substantial reduction of variance was attained with duplicate spotting. An analysis of variance (ANOVA) demonstrated no significant day-to-day variation.

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Year:  2006        PMID: 16647037     DOI: 10.1016/j.bbrc.2006.03.227

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  4 in total

1.  Acute hypoxia induces upregulation of microRNA-210 expression in glioblastoma spheroids.

Authors:  T Rosenberg; M Thomassen; S S Jensen; M J Larsen; K P Sørensen; S K Hermansen; T A Kruse; B W Kristensen
Journal:  CNS Oncol       Date:  2015

2.  Classifications within molecular subtypes enables identification of BRCA1/BRCA2 mutation carriers by RNA tumor profiling.

Authors:  Martin J Larsen; Torben A Kruse; Qihua Tan; Anne-Vibeke Lænkholm; Martin Bak; Anne E Lykkesfeldt; Kristina P Sørensen; Thomas V O Hansen; Bent Ejlertsen; Anne-Marie Gerdes; Mads Thomassen
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

3.  Feature selection for predicting tumor metastases in microarray experiments using paired design.

Authors:  Qihua Tan; Mads Thomassen; Torben A Kruse
Journal:  Cancer Inform       Date:  2007-03-20

4.  Microarray-based RNA profiling of breast cancer: batch effect removal improves cross-platform consistency.

Authors:  Martin J Larsen; Mads Thomassen; Qihua Tan; Kristina P Sørensen; Torben A Kruse
Journal:  Biomed Res Int       Date:  2014-07-03       Impact factor: 3.411

  4 in total

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