Literature DB >> 14989098

Quantification of sources of variation and accuracy of sequence discrimination in a replicated microarray experiment.

J Steven Brown1, David Kuhn, Randall Wisser, Emilio Power, Raymond Schnell.   

Abstract

cDNA microarray spot variability arises from many sources, and different systems have varying requirements for achieving the desired level of precision. We determined relative contributions to variance and investigated sequence discrimination using a multiple-array experimental design, with arrays subdivided to determine position and pin effect. Related fragments of 67 resistance gene homologs (RGHs) isolated from Theobroma cacao L. and grouped by sequence similarity were spotted onto arrays, using two of the same RGHs in the fluorescent dye channels (Cy3, Cy5) of the hybridization solution in a "dye-flip" design. A comprehensive statistical model accounted for variability well, giving a coefficient of variation (CV) based on experimental error of 2.12%. Although we were able to separate 85% of RGH group means clearly, some groups more similar to the target were indistinguishable due to nonspecific hybridization. Genetic factors together contributed 72.2% of the total variation, while position and pin effects and their interactions contributed 9.8%. Replication effect was statistically significant. Otherwise, no tests for position effects were significant. The results of the analysis indicate that our Genetic Microsystems 417 arrayer and Affymetrix 428 scanner are performing with sufficient precision, and we produced useful information for planning efficient future experiments.

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Year:  2004        PMID: 14989098     DOI: 10.2144/04362MT04

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  5 in total

1.  Gene expression profiles of the spleen, liver, and head kidney in turbot (Scophthalmus maximus) along the infection process with Aeromonas salmonicida using an immune-enriched oligo-microarray.

Authors:  Adrián Millán; Antonio Gómez-Tato; Belén G Pardo; Carlos Fernández; Carmen Bouza; Manuel Vera; José Antonio Alvarez-Dios; Santiago Cabaleiro; Jesús Lamas; Manuel L Lemos; Paulino Martínez
Journal:  Mar Biotechnol (NY)       Date:  2011-04-19       Impact factor: 3.619

2.  Design and performance of a turbot (Scophthalmus maximus) oligo-microarray based on ESTs from immune tissues.

Authors:  Adrián Millán; Antonio Gómez-Tato; Carlos Fernández; Belén G Pardo; José A Alvarez-Dios; Manuel Calaza; Carmen Bouza; María Vázquez; Santiago Cabaleiro; Paulino Martínez
Journal:  Mar Biotechnol (NY)       Date:  2009-10-21       Impact factor: 3.619

3.  Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.

Authors:  Jonatan Taminau; Stijn Meganck; Cosmin Lazar; David Steenhoff; Alain Coletta; Colin Molter; Robin Duque; Virginie de Schaetzen; David Y Weiss Solís; Hugues Bersini; Ann Nowé
Journal:  BMC Bioinformatics       Date:  2012-12-24       Impact factor: 3.169

4.  Sources of variation in Affymetrix microarray experiments.

Authors:  Stanislav O Zakharkin; Kyoungmi Kim; Tapan Mehta; Lang Chen; Stephen Barnes; Katherine E Scheirer; Rudolph S Parrish; David B Allison; Grier P Page
Journal:  BMC Bioinformatics       Date:  2005-08-29       Impact factor: 3.169

5.  Optimal allocation of replicates for measurement evaluation studies.

Authors:  Stanislav O Zakharkin; Kyoungmi Kim; Alfred A Bartolucci; Grier P Page; David B Allison
Journal:  Genomics Proteomics Bioinformatics       Date:  2006-08       Impact factor: 7.691

  5 in total

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