Literature DB >> 12765836

Standardization of protocols in cDNA microarray analysis.

Vladimír Benes1, Martina Muckenthaler.   

Abstract

Systematic variations can occur at various steps of a cDNA microarray experiment and affect the measurement of gene expression levels. Accepted standards integrated into every cDNA microarray analysis can assess these variabilities and aid the interpretation of cDNA microarray experiments from different sources. A universally applicable approach to evaluate parameters such as input and output ratios, signal linearity, hybridization specificity and consistency across an array, as well as normalization strategies, is the utilization of exogenous control genes as spike-in and negative controls. We suggest that the use of such control sets, together with a sufficient number of experimental repeats, in-depth statistical analysis and thorough data validation should be made mandatory for the publication of cDNA microarray data.

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Year:  2003        PMID: 12765836     DOI: 10.1016/S0968-0004(03)00068-9

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  11 in total

Review 1.  Methodological considerations regarding single-cell gene expression profiling for brain injury.

Authors:  Jason E Davis; James H Eberwine; David A Hinkle; Paolo G Marciano; David F Meaney; Tracy K McIntosh
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

Review 2.  In control: systematic assessment of microarray performance.

Authors:  Harm van Bakel; Frank C P Holstege
Journal:  EMBO Rep       Date:  2004-10       Impact factor: 8.807

3.  Impact of multiple beta-ketothiolase deletion mutations in Ralstonia eutropha H16 on the composition of 3-mercaptopropionic acid-containing copolymers.

Authors:  Nicole Lindenkamp; Katja Peplinski; Elena Volodina; Armin Ehrenreich; Alexander Steinbüchel
Journal:  Appl Environ Microbiol       Date:  2010-07-02       Impact factor: 4.792

Review 4.  Oligonucleotide microarray technology and its application to Mycobacterium avium subsp. paratuberculosis research: a review.

Authors:  Radka Pribylova; Petr Kralik; Ivo Pavlik
Journal:  Mol Biotechnol       Date:  2009-01-06       Impact factor: 2.695

Review 5.  Revisiting global gene expression analysis.

Authors:  Jakob Lovén; David A Orlando; Alla A Sigova; Charles Y Lin; Peter B Rahl; Christopher B Burge; David L Levens; Tong Ihn Lee; Richard A Young
Journal:  Cell       Date:  2012-10-26       Impact factor: 41.582

6.  Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes.

Authors:  Alicia Oshlack; Dianne Emslie; Lynn M Corcoran; Gordon K Smyth
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

7.  An alternative method to amplify RNA without loss of signal conservation for expression analysis with a proteinase DNA microarray in the ArrayTube format.

Authors:  Susann Schüler; Ingrid Wenz; B Wiederanders; P Slickers; R Ehricht
Journal:  BMC Genomics       Date:  2006-06-12       Impact factor: 3.969

8.  A methodology for global validation of microarray experiments.

Authors:  Mathieu Miron; Owen Z Woody; Alexandre Marcil; Carl Murie; Robert Sladek; Robert Nadon
Journal:  BMC Bioinformatics       Date:  2006-07-05       Impact factor: 3.169

9.  A generally applicable validation scheme for the assessment of factors involved in reproducibility and quality of DNA-microarray data.

Authors:  Sacha A F T van Hijum; Anne de Jong; Richard J S Baerends; Harma A Karsens; Naomi E Kramer; Rasmus Larsen; Chris D den Hengst; Casper J Albers; Jan Kok; Oscar P Kuipers
Journal:  BMC Genomics       Date:  2005-05-20       Impact factor: 3.969

10.  Corrections for mRNA extraction and sample normalization errors find increased mRNA levels may compensate for cancer haplo-insufficiency.

Authors:  David A Weaver; Andrea L Nestor-Kalinoski; Kristen Craig; Matthew Gorris; Tejal Parikh; Helen Mabry; David C Allison
Journal:  Genes Chromosomes Cancer       Date:  2013-11-30       Impact factor: 5.006

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