Literature DB >> 12771224

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

Martin J Hessner1, Xujing Wang, Shehnaz Khan, Lisa Meyer, Michael Schlicht, Jennifer Tackes, Milton W Datta, Howard J Jacob, Soumitra Ghosh.   

Abstract

Construction methodologies for cDNA microarrays lack the ability to determine array integrity prior to hybridization, leaving the array itself a source of uncontrolled experimental variation. We solved this problem through development of a three-color cDNA array platform whereby printed probes are tagged with fluorescein and are compatible with Cy3 and Cy5 target labeling dyes when using confocal laser scanners possessing narrow bandwidths. Here we use this approach to: (i) develop a tracking system to monitor the printing of probe plates at predicted coordinates; (ii) define the quantity of immobilized probe necessary for quality hybridized array data to establish pre-hybridization array selection criteria; (iii) investigate factors that influence probe availability for hybridization; and (iv) explore the feasibility of hybridized data filtering using element fluorescein intensity. A direct and significant relationship (R2 = 0.73, P < 0.001) between pre-hybridization average fluorescein intensity and subsequent hybridized replicate consistency was observed, illustrating that data quality can be improved by selecting arrays that meet defined pre-hybridization criteria. Furthermore, we demonstrate that our three-color approach provides a means to filter spots possessing insufficient bound probe from hybridized data sets to further improve data quality. Collectively, this strategy will improve microarray data and increase its utility as a sensitive screening tool.

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Year:  2003        PMID: 12771224      PMCID: PMC156737          DOI: 10.1093/nar/gng059

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


  20 in total

Review 1.  A concise guide to cDNA microarray analysis.

Authors:  P Hegde; R Qi; K Abernathy; C Gay; S Dharap; R Gaspard; J E Hughes; E Snesrud; N Lee; J Quackenbush
Journal:  Biotechniques       Date:  2000-09       Impact factor: 1.993

2.  DNA arrays for analysis of gene expression.

Authors:  M B Eisen; P O Brown
Journal:  Methods Enzymol       Date:  1999       Impact factor: 1.600

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

Authors:  Martin J Hessner; Xujing Wang; Katie Hulse; Lisa Meyer; Yan Wu; Steven Nye; Sun-Wei Guo; Soumitra Ghosh
Journal:  Nucleic Acids Res       Date:  2003-02-15       Impact factor: 16.971

4.  'Touchdown' PCR to circumvent spurious priming during gene amplification.

Authors:  R H Don; P T Cox; B J Wainwright; K Baker; J S Mattick
Journal:  Nucleic Acids Res       Date:  1991-07-25       Impact factor: 16.971

5.  Gene-expression profiles in hereditary breast cancer.

Authors:  I Hedenfalk; D Duggan; Y Chen; M Radmacher; M Bittner; R Simon; P Meltzer; B Gusterson; M Esteller; O P Kallioniemi; B Wilfond; A Borg; J Trent; M Raffeld; Z Yakhini; A Ben-Dor; E Dougherty; J Kononen; L Bubendorf; W Fehrle; S Pittaluga; S Gruvberger; N Loman; O Johannsson; H Olsson; G Sauter
Journal:  N Engl J Med       Date:  2001-02-22       Impact factor: 91.245

6.  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

7.  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

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
Journal:  Nature       Date:  2001-08-23       Impact factor: 49.962

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.  Tumorigenicity in human melanoma cell lines controlled by introduction of human chromosome 6.

Authors:  J M Trent; E J Stanbridge; H L McBride; E U Meese; G Casey; D E Araujo; C M Witkowski; R B Nagle
Journal:  Science       Date:  1990-02-02       Impact factor: 47.728

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  15 in total

1.  Decoding randomly ordered DNA arrays.

Authors:  Kevin L Gunderson; Semyon Kruglyak; Michael S Graige; Francisco Garcia; Bahram G Kermani; Chanfeng Zhao; Diping Che; Todd Dickinson; Eliza Wickham; Jim Bierle; Dennis Doucet; Monika Milewski; Robert Yang; Chris Siegmund; Juergen Haas; Lixin Zhou; Arnold Oliphant; Jian-Bing Fan; Steven Barnard; Mark S Chee
Journal:  Genome Res       Date:  2004-04-12       Impact factor: 9.043

2.  Intensity-based analysis of two-colour microarrays enables efficient and flexible hybridization designs.

Authors:  Peter A C 't Hoen; Rolf Turk; Judith M Boer; Ellen Sterrenburg; Renée X de Menezes; Gert-Jan B van Ommen; Johan T den Dunnen
Journal:  Nucleic Acids Res       Date:  2004-02-24       Impact factor: 16.971

Review 3.  Validation and quality control of protein microarray-based analytical methods.

Authors:  Larry J Kricka; Stephen R Master
Journal:  Mol Biotechnol       Date:  2007-08-03       Impact factor: 2.695

4.  Integrated imaging instrument for self-calibrated fluorescence protein microarrays.

Authors:  A P Reddington; M R Monroe; M S Ünlü
Journal:  Rev Sci Instrum       Date:  2013-10       Impact factor: 1.523

5.  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

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

Authors:  Takefumi Mori; Aaron Polichnowski; Padden Glocka; Mary Kaldunski; Yusuke Ohsaki; Mingyu Liang; Allen W Cowley
Journal:  J Am Soc Nephrol       Date:  2008-04-16       Impact factor: 10.121

7.  Application of four dyes in gene expression analyses by microarrays.

Authors:  Yvonne C M Staal; Marcel H M van Herwijnen; Frederik J van Schooten; Joost H M van Delft
Journal:  BMC Genomics       Date:  2005-07-25       Impact factor: 3.969

8.  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

9.  Quantitative measurement of pathogen-specific human memory T cell repertoire diversity using a CDR3 beta-specific microarray.

Authors:  Xujing Wang; Shuang Jia; Lisa Meyer; Maryam B Yassai; Yuri N Naumov; Jack Gorski; Martin J Hessner
Journal:  BMC Genomics       Date:  2007-09-19       Impact factor: 3.969

10.  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

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