Literature DB >> 12074165

Conditions to ensure competitive hybridization in two-color microarray: a theoretical and experimental analysis.

Youmin Wang1, Xujing Wang, Sun-Wei Guo, Soumit Ghosh.   

Abstract

We derived a theoretical model that explains certain biases observed in the two-color microarray hybridization experiments reported in the literature. We show that true competition is achieved only when the hybridization kinetics of the two differentially labeled probes are the same. If the hybridization kinetics of the two differentially labeled probes is different, which can occur when the labeling and hybridization conditions for the two probes are dissimilar, then differential expression observed becomes a function of the amount of the target (i.e., DNA spotted on the slide). We use this model to validate the microarray methodology by determining the differential expression of four select Arabidopsis genes and two human genes (beta-actin and GAPDH) as a function of the amount of target arrayed. We show through both modeling and experiments that the rate constants for Cy5- and Cy3-labeled probes are the same under our exrimental conditions. Therefore, the target concentrations need not greatly exceed the probe concentration. It is obvious from the data presented that a simple treatment of an individual hybridization rate calculation does notfully describe what is occuring in today's complex, multispecies experiments. The method of validation is easily implemented to ensure data reliability by two-color microarray.

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Year:  2002        PMID: 12074165     DOI: 10.2144/02326mt05

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


  6 in total

1.  Intensity-based analysis of two-colour microarrays enables efficient and flexible hybridization designs.

Authors:  Peter A C 't Hoen; Rolf Turk; Judith M Boer; Ellen Sterrenburg; Renée X de Menezes; Gert-Jan B van Ommen; Johan T den Dunnen
Journal:  Nucleic Acids Res       Date:  2004-02-24       Impact factor: 16.971

2.  Sensitivity of 70-mer oligonucleotides and cDNAs for microarray analysis of gene expression in Arabidopsis and its related species.

Authors:  Hyeon-Se Lee; Jianlin Wang; Lu Tian; Hongmei Jiang; Michael A Black; Andreas Madlung; Brian Watson; Lewis Lukens; J Chris Pires; Jiyuan J Wang; Luca Comai; Thomas C Osborn; R W Doerge; Z Jeffrey Chen
Journal:  Plant Biotechnol J       Date:  2004-01       Impact factor: 9.803

3.  Global analysis of phase locking in gene expression during cell cycle: the potential in network modeling.

Authors:  Shouguo Gao; John L Hartman; Justin L Carter; Martin J Hessner; Xujing Wang
Journal:  BMC Syst Biol       Date:  2010-12-03

4.  Application of four dyes in gene expression analyses by microarrays.

Authors:  Yvonne C M Staal; Marcel H M van Herwijnen; Frederik J van Schooten; Joost H M van Delft
Journal:  BMC Genomics       Date:  2005-07-25       Impact factor: 3.969

5.  Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by cDNA microarrays.

Authors:  Xujing Wang; Shuang Jia; Lisa Meyer; Bixia Xiang; Li-Yen Chen; Nan Jiang; Carol Moreno; Howard J Jacob; Soumitra Ghosh; Martin J Hessner
Journal:  BMC Bioinformatics       Date:  2006-08-14       Impact factor: 3.169

6.  Oligodeoxyribonucleotide probe accessibility on a three-dimensional DNA microarray surface and the effect of hybridization time on the accuracy of expression ratios.

Authors:  David R Dorris; Allen Nguyen; Linn Gieser; Randall Lockner; Anna Lublinsky; Marcus Patterson; Edward Touma; Timothy J Sendera; Robert Elghanian; Abhijit Mazumder
Journal:  BMC Biotechnol       Date:  2003-06-11       Impact factor: 2.563

  6 in total

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