Literature DB >> 21504771

A high-density quantitative nuclease protection microarray platform for high throughput analysis of gene expression.

K M Bourzac1, M P Rounseville, X Zarate, V S R K Maddula, D C Henderson, J A Luckey, B Seligmann, D W Galbraith.   

Abstract

The quantitative nuclease protection assay (qNPA) is a very simple and highly sensitive method for measuring mRNA transcripts, can be used on a variety of sample types, and is amenable to high-throughput sample processing. We have combined the power of the qNPA assay with the density of a DNA microarray to create a qNPA Microarray platform. This platform is compatible with common laboratory equipment: it uses fluorescence-based detection, can be analyzed with common microarray scanners, and is in an SBS footprint with 96-well layout for high-throughput applications. Here, we demonstrate the characteristics of a qNPA Microarray slide that contains up to 1700 gene elements per well. We show that the new platform can reliably detect transcripts at levels as low as 10fM with median CVs below 12%. On a standardized set of samples, the qNPA Microarray detected the same trends in gene expression as the original qNPA technology, real time qPCR, and Affymetrix GeneChip DNA Microarrays. Given its ease of use, compatibility with multiple sample types, high-throughput capabilities, and its integration with standard laboratory equipment, the qNPA Microarray is a powerful new platform for gene expression research.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21504771     DOI: 10.1016/j.jbiotec.2011.03.020

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  4 in total

1.  Transcriptomic and Protein Analysis of Small-cell Bladder Cancer (SCBC) Identifies Prognostic Biomarkers and DLL3 as a Relevant Therapeutic Target.

Authors:  Vadim S Koshkin; Jorge A Garcia; Jordan Reynolds; Paul Elson; Cristina Magi-Galluzzi; Jesse K McKenney; Kumiko Isse; Evan Bishop; Laura R Saunders; Aysegul Balyimez; Summya Rashid; Ming Hu; Andrew J Stephenson; Amr F Fergany; Byron H Lee; Georges-Pascal Haber; Afshin Dowlati; Timothy Gilligan; Moshe C Ornstein; Brian I Rini; Mohamed E Abazeed; Omar Y Mian; Petros Grivas
Journal:  Clin Cancer Res       Date:  2018-10-16       Impact factor: 12.531

2.  A study of cardiovascular miRNA biomarkers for Kawasaki disease.

Authors:  Anne H Rowley; Adam J Pink; Rebecca Reindel; Nancy Innocentini; Susan C Baker; Stanford T Shulman; Kwang-Youn A Kim
Journal:  Pediatr Infect Dis J       Date:  2014-12       Impact factor: 2.129

3.  Validation of a Multiplexed Gene Signature Assay for Diagnosis of Canine Cancers from Formalin-Fixed Paraffin-Embedded Tissues.

Authors:  B Davis; M Schwartz; D Duchemin; J Carl Barrett; G Post
Journal:  J Vet Intern Med       Date:  2017-03-29       Impact factor: 3.333

4.  Gene expression analysis in formalin fixed paraffin embedded melanomas is associated with density of corresponding immune cells in those tissues.

Authors:  Minyoung Kwak; Gulsun Erdag; Craig L Slingluff
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.996

  4 in total

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