Literature DB >> 18155896

Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential.

Leming Shi1, Roger G Perkins, Hong Fang, Weida Tong.   

Abstract

Over a few short years, microarray gene expression profiling has permeated most areas of biomedical research. Microarrays are now poised to enter the more demanding realm of clinical applications. The prospect of using microarray data to derive biomarkers of disease or toxicity, predict prognosis, or select treatments raises the validity and reliability bar substantially higher. The potential future payoffs are huge in terms of faster approval of more efficacious and safer medical interventions, and a more personalized implementation of them. Arriving at the future sooner rather than later is the motivation for the FDA-led MicroArray Quality Control (MAQC) project. The widespread collaboration aims to assess achievable technical performance of microarrays and capabilities and limitations of methods for microarray data analysis.

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Year:  2007        PMID: 18155896     DOI: 10.1016/j.copbio.2007.11.003

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  46 in total

1.  Deciphering the Arabidopsis floral transition process by integrating a protein-protein interaction network and gene expression data.

Authors:  Fei He; Yuan Zhou; Ziding Zhang
Journal:  Plant Physiol       Date:  2010-06-07       Impact factor: 8.340

Review 2.  Quality assurance of RNA expression profiling in clinical laboratories.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  J Mol Diagn       Date:  2011-10-20       Impact factor: 5.568

3.  Evaluation of one- and two-color gene expression arrays for microbial comparative genome hybridization analyses in routine applications.

Authors:  Roland Schwarz; Biju Joseph; Gabriele Gerlach; Anja Schramm-Glück; Kathrin Engelhard; Matthias Frosch; Tobias Müller; Christoph Schoen
Journal:  J Clin Microbiol       Date:  2010-06-30       Impact factor: 5.948

4.  Multiplexed method to calibrate and quantitate fluorescence signal for allergen-specific IgE.

Authors:  Margo R Monroe; Alexander P Reddington; Austin D Collins; Craig LaBoda; Marina Cretich; Marcella Chiari; Frédéric F Little; M Selim Unlü
Journal:  Anal Chem       Date:  2011-11-22       Impact factor: 6.986

Review 5.  Standards affecting the consistency of gene expression arrays in clinical applications.

Authors:  Steven A Enkemann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

Review 6.  Genomic markers for decision making: what is preventing us from using markers?

Authors:  Vicky M Coyle; Patrick G Johnston
Journal:  Nat Rev Clin Oncol       Date:  2009-12-15       Impact factor: 66.675

7.  Charge-neutral morpholino microarrays for nucleic acid analysis.

Authors:  Wanqiong Qiao; Sergey Kalachikov; Yatao Liu; Rastislav Levicky
Journal:  Anal Biochem       Date:  2012-12-12       Impact factor: 3.365

8.  Evaluation of the psoriasis transcriptome across different studies by gene set enrichment analysis (GSEA).

Authors:  Mayte Suárez-Fariñas; Michelle A Lowes; Lisa C Zaba; James G Krueger
Journal:  PLoS One       Date:  2010-04-20       Impact factor: 3.240

9.  A machine learning pipeline for quantitative phenotype prediction from genotype data.

Authors:  Giorgio Guzzetta; Giuseppe Jurman; Cesare Furlanello
Journal:  BMC Bioinformatics       Date:  2010-10-26       Impact factor: 3.169

10.  A HUPO test sample study reveals common problems in mass spectrometry-based proteomics.

Authors:  Alexander W Bell; Eric W Deutsch; Catherine E Au; Robert E Kearney; Ron Beavis; Salvatore Sechi; Tommy Nilsson; John J M Bergeron
Journal:  Nat Methods       Date:  2009-06       Impact factor: 28.547

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