Literature DB >> 15364885

Evaluation of quality-control criteria for microarray gene expression analysis.

Catherine I Dumur1, Suhail Nasim, Al M Best, Kellie J Archer, Amy C Ladd, Valeria R Mas, David S Wilkinson, Carleton T Garrett, Andrea Ferreira-Gonzalez.   

Abstract

BACKGROUND: Development of quality-control criteria to ensure reproducibility of microarray results for potential clinical application is still in its infancy.
METHODS: In the present studies we developed quality-control criteria and evaluated their effect in microarray data analysis using total RNA from cell lines, frozen tumors, and a commercially available reference RNA. Quality-control criteria such as A(260)/A(280) ratios, percentage of rRNA, and median size of cDNA and cRNA synthesis products were evaluated for robustness in microarray analysis. Furthermore, precision studies using a reference material were performed on the Affymetrix HG-U133A high-density oligonucleotide microarrays. The same reference RNA sample was examined in 16 different chips run on 2 different days in the four different modules of the Affymetrix fluidics workstation. Fresh and frozen fragmented cRNAs were also compared. An ANOVA model was fit to identify the main sources of variation.
RESULTS: Good-quality samples showed >30% rRNA in the electropherograms and cDNA and cRNA synthesis products with median sizes of 2.0 and 3.0 kb, respectively. Precision studies showed that the main source of variation was the day-to-day variability, minimally affecting hybridization exogenous control genes. Altogether, the results showed that the Affymetrix Genechip system is highly reproducible when RNA that meet the quality-control criteria are used (overall P >0.01).
CONCLUSIONS: These results confirm the need to establish defined quality-control criteria for sample quality to distinguish between analytical and biological variability.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15364885     DOI: 10.1373/clinchem.2004.033225

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  50 in total

1.  Is tail vein injection a relevant breast cancer lung metastasis model?

Authors:  Omar M Rashid; Masayuki Nagahashi; Suburamaniam Ramachandran; Catherine I Dumur; Julia C Schaum; Akimitsu Yamada; Tomoyoshi Aoyagi; Sheldon Milstien; Sarah Spiegel; Kazuaki Takabe
Journal:  J Thorac Dis       Date:  2013-08       Impact factor: 2.895

2.  Precision profiling and components of variability analysis for Affymetrix microarray assays run in a clinical context.

Authors:  Thomas M Daly; Carmen M Dumaual; Crystal A Dotson; Mark W Farmen; Sunil K Kadam; Richard D Hockett
Journal:  J Mol Diagn       Date:  2005-08       Impact factor: 5.568

3.  Preservation of fine-needle aspiration specimens for future use in RNA-based molecular testing.

Authors:  Amy C Ladd; Emerald O'Sullivan-Mejia; Tasha Lea; Jessica Perry; Catherine I Dumur; Ema Dragoescu; Carleton T Garrett; Celeste N Powers
Journal:  Cancer Cytopathol       Date:  2011-02-01       Impact factor: 5.284

4.  Innate immune agonist, dsRNA, induces apoptosis in ovarian cancer cells and enhances the potency of cytotoxic chemotherapeutics.

Authors:  Danielle N Van; Charlotte F Roberts; James D Marion; Sandrine Lépine; Kuzhuvelil B Harikumar; Jessica Schreiter; Catherine I Dumur; Xianjun Fang; Sarah Spiegel; Jessica K Bell
Journal:  FASEB J       Date:  2012-04-24       Impact factor: 5.191

5.  Assessing the quality of hybridized RNA in Affymetrix GeneChips using linear regression.

Authors:  Meijuan Li; Cavan Reilly
Journal:  J Biomol Tech       Date:  2008-04

6.  HDAC6 Deacetylates HMGN2 to Regulate Stat5a Activity and Breast Cancer Growth.

Authors:  Terry R Medler; Justin M Craig; Alyson A Fiorillo; Yvonne B Feeney; J Chuck Harrell; Charles V Clevenger
Journal:  Mol Cancer Res       Date:  2016-06-29       Impact factor: 5.852

Review 7.  Detection call algorithms for high-throughput gene expression microarray data.

Authors:  Kellie J Archer; Sarah E Reese
Journal:  Brief Bioinform       Date:  2009-11-25       Impact factor: 11.622

8.  Caspase-9b Interacts Directly with cIAP1 to Drive Agonist-Independent Activation of NF-κB and Lung Tumorigenesis.

Authors:  Ngoc T Vu; Margaret A Park; Michael D Shultz; Gamze B Bulut; Amy C Ladd; Charles E Chalfant
Journal:  Cancer Res       Date:  2016-03-29       Impact factor: 12.701

9.  Donor Hepatic Steatosis Induce Exacerbated Ischemia-Reperfusion Injury Through Activation of Innate Immune Response Molecular Pathways.

Authors:  Ricardo C Gehrau; Valeria R Mas; Catherine I Dumur; Jihee L Suh; Ashish K Sharma; Helen P Cathro; Daniel G Maluf
Journal:  Transplantation       Date:  2015-12       Impact factor: 4.939

10.  Quality assessment of microarray data in a multicenter study.

Authors:  Kellie J Archer; Valeria R Mas; Thomas R O'Brien; Ruth Pfeiffer; Nicole L Lum; Robert A Fisher
Journal:  Diagn Mol Pathol       Date:  2009-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.