Literature DB >> 12799456

Optimization of high-density cDNA-microarray protocols by 'design of experiments'.

Gunnar Wrobel1, Joerg Schlingemann, Lars Hummerich, Heidi Kramer, Peter Lichter, Meinhard Hahn.   

Abstract

Expression analysis using microarray technology implies a complex experimental procedure with a large number of parameters affecting the final result. We have demonstrated that optimization of such a complex protocol can be far better handled using design of experiments (DOE) than by working on a single parameter at a time. Based on the results of a screening design, we developed a spotting buffer composed of formamide, betaine and nitrocellulose. This buffer provides a 2-fold increase in signal-to-background ratio compared to 3x SSC. Comparison to seven other buffers tested on 10 different substrates revealed it had the highest sensitivity. DNA dissolved in this buffer can be spotted on epoxysilane-coated microscope slides at a density of up to 70 000 spots per slide. A second DOE approach characterized the RNA labeling process with regard to the concentration of fluorescent dyes, dNTPs and reverse transcriptase. Adjust ments of the concentrations of dNTPs, as well as reverse transcriptase, towards the optimum, produced an improvement in the performance of the labeling procedure by a factor of 3 (Cy3) and 10 (Cy5). These results demonstrate that the process of establishing a stable expression profiling protocol and its further optimization can be significantly shortened and improved by DOE.

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Year:  2003        PMID: 12799456      PMCID: PMC162342          DOI: 10.1093/nar/gng067

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  21 in total

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3.  Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.

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Review 4.  Expression profiling using cDNA microarrays.

Authors:  D J Duggan; M Bittner; Y Chen; P Meltzer; J M Trent
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

5.  Exploring the metabolic and genetic control of gene expression on a genomic scale.

Authors:  J L DeRisi; V R Iyer; P O Brown
Journal:  Science       Date:  1997-10-24       Impact factor: 47.728

6.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
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Review 7.  Reduction of animal use: experimental design and quality of experiments.

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Journal:  Lab Anim       Date:  1994-07       Impact factor: 2.471

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10.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays.

Authors:  D Pinkel; R Segraves; D Sudar; S Clark; I Poole; D Kowbel; C Collins; W L Kuo; C Chen; Y Zhai; S H Dairkee; B M Ljung; J W Gray; D G Albertson
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  10 in total

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6.  High-resolution epifluorescence and time-of-flight secondary ion mass spectrometry chemical imaging comparisons of single DNA microarray spots.

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Journal:  Anal Chem       Date:  2012-12-03       Impact factor: 6.986

7.  Gene expression patterns in ependymomas correlate with tumor location, grade, and patient age.

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9.  Drop drying on surfaces determines chemical reactivity - the specific case of immobilization of oligonucleotides on microarrays.

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10.  Real-time PCR probe optimization using design of experiments approach.

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  10 in total

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