Literature DB >> 14687675

A microarray platform comparison for neuroscience applications.

Mark L Parrish1, Nan Wei, Sven Duenwald, George Y Tokiwa, Yanqun Wang, Daniel Holder, Hongyue Dai, Xiaohua Zhang, Christopher Wright, Paul Hodor, Guy Cavet, Robert L Phillips, Benjamin I Sun, Thomas L Fare.   

Abstract

To address the need for high sensitivity in gene expression profiling of small neural tissue samples ( approximately 100 ng total RNA), we compared a novel RT-PCR-IVT protocol using fluor-reverse pairs on inkjet oligonucleotide microarrays and an RT-IVT protocol using 33P labeling on nylon cDNA arrays. The comparison protocol was designed to evaluate these systems for sensitivity, specificity, reproducibility, and linearity. We developed parameters, thresholds, and testing conditions that could be used to differentiate various systems that spanned detection chemistry and instrumentation; probe number and selection criteria; and sample processing protocols. We concluded that the inkjet system had better performance in sensitivity, specificity, and reproducibility than the nylon system, and similar performance in linearity. Between these two platforms, the data indicates that the inkjet system would perform better for the transcriptional profiling of 100 ng total RNA samples for neuroscience studies.

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Year:  2004        PMID: 14687675     DOI: 10.1016/j.jneumeth.2003.09.013

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  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.  Converting a breast cancer microarray signature into a high-throughput diagnostic test.

Authors:  Annuska M Glas; Arno Floore; Leonie J M J Delahaye; Anke T Witteveen; Rob C F Pover; Niels Bakx; Jaana S T Lahti-Domenici; Tako J Bruinsma; Marc O Warmoes; René Bernards; Lodewyk F A Wessels; Laura J Van't Veer
Journal:  BMC Genomics       Date:  2006-10-30       Impact factor: 3.969

Review 3.  Expression profiling of drug response--from genes to pathways.

Authors:  Ralf Herwig; Hans Lehrach
Journal:  Dialogues Clin Neurosci       Date:  2006       Impact factor: 5.986

4.  Transcript copy number estimation using a mouse whole-genome oligonucleotide microarray.

Authors:  Mark G Carter; Alexei A Sharov; Vincent VanBuren; Dawood B Dudekula; Condie E Carmack; Charlie Nelson; Minoru S H Ko
Journal:  Genome Biol       Date:  2005-06-30       Impact factor: 13.583

5.  Application of a correlation correction factor in a microarray cross-platform reproducibility study.

Authors:  Kellie J Archer; Catherine I Dumur; G Scott Taylor; Michael D Chaplin; Anthony Guiseppi-Elie; Geraldine Grant; Andrea Ferreira-Gonzalez; Carleton T Garrett
Journal:  BMC Bioinformatics       Date:  2007-11-15       Impact factor: 3.169

  5 in total

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