2004
DOI: 10.1373/clinchem.2004.033225
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Evaluation of Quality-Control Criteria for Microarray Gene Expression Analysis

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 qualitycontrol 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… Show more

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Cited by 99 publications
(96 citation statements)
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“…Quality control criteria included cDNA and cRNA synthesis products within median lengths of 2.0 and 3.0 kb, respectively, and 3ʹ/5ʹ ratios close to 1.00 for the housekeeping genes, GAPDH and β-actin. 8 The "significance-score" algorithm (S-score) developed by Dr. Li Zhang was used to produce a score for the comparisons of the expression summaries between cell groups. 48 The Minimum Information About a Microarray Experiment guidelines have been met, and the microarray raw data have been deposited with the National Center for Biotechnology Institute Gene Expression Omnibus-accession number GSE22578.…”
Section: Gene Expression Profilingmentioning
confidence: 99%
“…Quality control criteria included cDNA and cRNA synthesis products within median lengths of 2.0 and 3.0 kb, respectively, and 3ʹ/5ʹ ratios close to 1.00 for the housekeeping genes, GAPDH and β-actin. 8 The "significance-score" algorithm (S-score) developed by Dr. Li Zhang was used to produce a score for the comparisons of the expression summaries between cell groups. 48 The Minimum Information About a Microarray Experiment guidelines have been met, and the microarray raw data have been deposited with the National Center for Biotechnology Institute Gene Expression Omnibus-accession number GSE22578.…”
Section: Gene Expression Profilingmentioning
confidence: 99%
“…For Affymetrix analyses, the quality of input RNA and the consistency of sample collection and processing methods have been identified as crucial factors. Dumur and colleagues 7 recently described QC criteria for input sample RNA derived from a variety of sources, and similar criteria have been recommended in a recent best practices document from the Tumor Analysis Best Practices Working Group. 8 Once preanalytical variation has been reduced as much as possible, the analytical precision of the assay becomes the single biggest factor in determining what level of biological change can be seen.…”
mentioning
confidence: 99%
“…With this extensive preliminary conceptual profiling and practical gene array experience, we have proposed a prospective, longitudinal, multicenter study to answer these questions. We are also aware of the limitations that can arise from the rigorous criteria for total RNA quality, cDNA and cRNA synthesis, and hybridization to ensure reproducible and accurate microarray data (24) and the need for multicenter patient contribution to eliminate sample size misleading associations as occurred for patient 20 in this study.…”
Section: Discussionmentioning
confidence: 99%
“…To be considered for microarray analysis, the RNA samples needed to pass quality control criteria as 28S/18S ratios greater than 1.5 and A260nm/A280nm greater than 2.0. We established a cutoff value of 30% rRNA contribution to the total area under the electropherogram for RNA samples to be considered as intact or undegraded (24).…”
Section: Quality Controlmentioning
confidence: 99%
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