Literature DB >> 12582259

Three color cDNA microarrays: quantitative assessment through the use of fluorescein-labeled probes.

Martin J Hessner1, Xujing Wang, Katie Hulse, Lisa Meyer, Yan Wu, Steven Nye, Sun-Wei Guo, Soumitra Ghosh.   

Abstract

Gene expression studies using microarrays have great potential to generate new insights into human disease pathogenesis, but data quality remains a major obstacle. In particular, there does not exist a method to determine prior to hybridization whether an array will yield high quality data, given good study design and target preparation. We have solved this problem through development of a three-color cDNA microarray platform where printed probes are fluorescein labeled, but are spectrally compatible with Cy3 and Cy5 dye-labeled targets when using confocal laser scanners possessing narrow bandwidths. This approach enables prehybridization evaluation of array/spot morphology, DNA deposition and retention and background levels. By using these measurements and the intra-slide coefficient of variation for fluorescence intensity we show that slides in the same batch are not equivalent and measurable prehybridization parameters can be predictive of hybridization performance as determined by replicate consistency. When hybridizing target derived from two cell lines to high and low quality replicate pairs (n = 50 pairs), a direct and significant relationship between prehybridization signal-to-background noise and post-hybridization reproducibility (R2 = 0.80, P < 0.001) was observed. We therefore conclude that slide selection based upon prehybridization quality scores will greatly benefit the ability to generate reliable gene expression data.

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Year:  2003        PMID: 12582259      PMCID: PMC150246          DOI: 10.1093/nar/gng014

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


  19 in total

1.  Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments.

Authors:  M K Kerr; G A Churchill
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-24       Impact factor: 11.205

2.  Robust and efficient synthetic method for forming DNA microarrays.

Authors:  P L Dolan; Y Wu; L K Ista; R L Metzenberg; M A Nelson; G P Lopez
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3.  Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.

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Journal:  Proc Natl Acad Sci U S A       Date:  1996-10-01       Impact factor: 11.205

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

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Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

5.  Identification of tumor markers in models of human colorectal cancer using a 19,200-element complementary DNA microarray.

Authors:  P Hegde; R Qi; R Gaspard; K Abernathy; S Dharap; J Earle-Hughes; C Gay; N U Nwokekeh; T Chen; A I Saeed; V Sharov; N H Lee; T J Yeatman; J Quackenbush
Journal:  Cancer Res       Date:  2001-11-01       Impact factor: 12.701

6.  Project normal: defining normal variance in mouse gene expression.

Authors:  C C Pritchard; L Hsu; J Delrow; P S Nelson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-06       Impact factor: 11.205

7.  Betaine improves the PCR amplification of GC-rich DNA sequences.

Authors:  W Henke; K Herdel; K Jung; D Schnorr; S A Loening
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8.  Delineation of prognostic biomarkers in prostate cancer.

Authors:  S M Dhanasekaran; T R Barrette; D Ghosh; R Shah; S Varambally; K Kurachi; K J Pienta; M A Rubin; A M Chinnaiyan
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9.  Diversity of gene expression in adenocarcinoma of the lung.

Authors:  M E Garber; O G Troyanskaya; K Schluens; S Petersen; Z Thaesler; M Pacyna-Gengelbach; M van de Rijn; G D Rosen; C M Perou; R I Whyte; R B Altman; P O Brown; D Botstein; I Petersen
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-13       Impact factor: 11.205

10.  Betaine can eliminate the base pair composition dependence of DNA melting.

Authors:  W A Rees; T D Yager; J Korte; P H von Hippel
Journal:  Biochemistry       Date:  1993-01-12       Impact factor: 3.162

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  14 in total

1.  Use of a three-color cDNA microarray platform to measure and control support-bound probe for improved data quality and reproducibility.

Authors:  Martin J Hessner; Xujing Wang; Shehnaz Khan; Lisa Meyer; Michael Schlicht; Jennifer Tackes; Milton W Datta; Howard J Jacob; Soumitra Ghosh
Journal:  Nucleic Acids Res       Date:  2003-06-01       Impact factor: 16.971

2.  Silicon biochips for dual label-free and fluorescence detection: Application to protein microarray development.

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Journal:  Biosens Bioelectron       Date:  2011-04-09       Impact factor: 10.618

3.  Quality Weighted Mean and T-test in Microarray Analysis Lead to Improved Accuracy in Gene Expression Measurements and Reduced Type I and II Errors in Differential Expression Detection.

Authors:  Shouguo Gao; Shuang Jia; Martin Hessner; Xujing Wang
Journal:  J Comput Sci Syst Biol       Date:  2008-12-26

4.  Multiplexed, rapid point of care platform to quantify allergen-specific IgE.

Authors:  M R Monroe; A P Reddington; M Cretich; M Chiari; F Little; M S Ünlü
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

5.  Analysis of the quality of contact-pin fabricated oligonucleotide microarrays.

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6.  High perfusion pressure accelerates renal injury in salt-sensitive hypertension.

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7.  Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by cDNA microarrays.

Authors:  Xujing Wang; Shuang Jia; Lisa Meyer; Bixia Xiang; Li-Yen Chen; Nan Jiang; Carol Moreno; Howard J Jacob; Soumitra Ghosh; Martin J Hessner
Journal:  BMC Bioinformatics       Date:  2006-08-14       Impact factor: 3.169

8.  HoughFeature, a novel method for assessing drug effects in three-color cDNA microarray experiments.

Authors:  Hongya Zhao; Hong Yan
Journal:  BMC Bioinformatics       Date:  2007-07-17       Impact factor: 3.169

9.  Orthogonal projections to latent structures as a strategy for microarray data normalization.

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10.  Utilization of a labeled tracking oligonucleotide for visualization and quality control of spotted 70-mer arrays.

Authors:  Martin J Hessner; Vineet K Singh; Xujing Wang; Shehnaz Khan; Michael R Tschannen; Thomas C Zahrt
Journal:  BMC Genomics       Date:  2004-02-09       Impact factor: 3.969

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