Literature DB >> 15038161

Development of a microarray assay that measures hybridization stoichiometry in moles.

Richard J Rouse1, Celia R Espinoza, R Hannes Niedner, Gary Hardiman.   

Abstract

Microarray data is most useful when it can be compared with other genetic detection technologies. In this report, we designed a microarray assay format that transforms raw data into a defined scientific unit (i.e., moles) by measuring the amount of array feature present and the cDNA sequence hybridized. This study profiles a mouse reference universal RNA sample on a microarray consisting of PCR products. In measuring array features, a labeled DNA sequence was designed that hybridizes to a conserved sequence that is present in every array feature. To measure the amount of cDNA sample hybridized, the RNA sample was processed to ensure consistent dye to DNA ratio for every labeled target cDNA molecule, using labeled branched dendrimers rather than by incorporation. A dye printing assay was then performed in order to correlate molecules of cyanine dye to signal intensity. We demonstrate that by using this microarray assay design, raw data can be transformed into defined scientific units, which will facilitate interpretation of other experiments, such as data deposited at the Gene Expression Omnibus and ArrayExpress.

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Year:  2004        PMID: 15038161     DOI: 10.2144/04363RR02

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


  5 in total

1.  Detection of foot and mouth disease and porcine reproductive and respiratory syndrome viral genes using microarray chip.

Authors:  Y-C Liu; G S Huang; M-C Wu; M-Y Hong; K-P Hsiung
Journal:  Vet Res Commun       Date:  2006-02       Impact factor: 2.459

2.  Evaluation of reference-based two-color methods for measurement of gene expression ratios using spotted cDNA microarrays.

Authors:  Bernardo R Peixoto; Ricardo Z N Vêncio; Camila M Egidio; Luisa Mota-Vieira; Sergio Verjovski-Almeida; Eduardo M Reis
Journal:  BMC Genomics       Date:  2006-02-24       Impact factor: 3.969

3.  A universal reference sample derived from clone vector for improved detection of differential gene expression.

Authors:  Rishi L Khan; Gregory E Gonye; Guang Gao; James S Schwaber
Journal:  BMC Genomics       Date:  2006-05-05       Impact factor: 3.969

4.  Development and application of a microarray meter tool to optimize microarray experiments.

Authors:  Richard J D Rouse; Katrine Field; Jennifer Lapira; Allen Lee; Ivan Wick; Colleen Eckhardt; C Ramana Bhasker; Laura Soverchia; Gary Hardiman
Journal:  BMC Res Notes       Date:  2008-07-11

5.  Host iron binding proteins acting as niche indicators for Neisseria meningitidis.

Authors:  Philip W Jordan; Nigel J Saunders
Journal:  PLoS One       Date:  2009-04-08       Impact factor: 3.240

  5 in total

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