Literature DB >> 12582263

Identification and removal of contaminating fluorescence from commercial and in-house printed DNA microarrays.

M Juanita Martinez1, Anthony D Aragon, Angelina L Rodriguez, Jose M Weber, Jerilyn A Timlin, Michael B Sinclair, David M Haaland, Margaret Werner-Washburne.   

Abstract

Microarray analysis is a critically important technology for genome-enabled biology, therefore it is essential that the data obtained be reliable. Current software and normalization techniques for microarray analysis rely on the assumption that fluorescent background within spots is essentially the same throughout the glass slide and can be measured by fluorescence surrounding the spots. This assumption is not valid if background fluorescence is spot-localized. Inaccurate estimates of background fluorescence under the spot create a source of error, especially for low expressed genes. We have identified spot-localized, contaminating fluorescence in the Cy3 channel on several commercial and in-house printed microarray slides. We determined through mock hybridizations (without labeled target) that pre-hybridization scans could not be used to predict the contribution of this contaminating fluorescence after hybridization because the change in spot-to-spot fluorescence after hybridization was too variable. Two solutions to this problem were identified. First, allowing 4 h of exposure to air prior to printing on to Corning UltraGAPS slides significantly reduced contaminating fluorescence intensities to approximately the value of the surrounding glass. Alternatively, application of a novel, hyperspectral imaging scanner and multivariate curve resolution algorithms, allowed the spectral contributions of Cy3 signal, glass, and contaminating fluorescence to be distinguished and quantified after hybridization.

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Year:  2003        PMID: 12582263      PMCID: PMC150250          DOI: 10.1093/nar/gng018

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


  12 in total

1.  Hyperspectral imaging: a novel approach for microscopic analysis.

Authors:  R A Schultz; T Nielsen; J R Zavaleta; R Ruch; R Wyatt; H R Garner
Journal:  Cytometry       Date:  2001-04-01

2.  Maximization of signal derived from cDNA microarrays.

Authors:  S E Wildsmith; G E Archer; A J Winkley; P W Lane; P J Bugelski
Journal:  Biotechniques       Date:  2001-01       Impact factor: 1.993

3.  Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation.

Authors:  Yee Hwa Yang; Sandrine Dudoit; Percy Luu; David M Lin; Vivian Peng; John Ngai; Terence P Speed
Journal:  Nucleic Acids Res       Date:  2002-02-15       Impact factor: 16.971

4.  Unfolding of microarray data.

Authors:  A B Goryachev; P F Macgregor; A M Edwards
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

Review 5.  Computational analysis of microarray data.

Authors:  J Quackenbush
Journal:  Nat Rev Genet       Date:  2001-06       Impact factor: 53.242

Review 6.  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

7.  Experimental design for gene expression microarrays.

Authors:  M K Kerr; G A Churchill
Journal:  Biostatistics       Date:  2001-06       Impact factor: 5.899

8.  A DNA microarray system for analyzing complex DNA samples using two-color fluorescent probe hybridization.

Authors:  D Shalon; S J Smith; P O Brown
Journal:  Genome Res       Date:  1996-07       Impact factor: 9.043

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

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

10.  Improved quantitation and reproducibility in Mycobacterium tuberculosis DNA microarrays.

Authors:  Benjamin G Schroeder; Liane M Peterson; Robert D Fleischmann
Journal:  J Mol Microbiol Biotechnol       Date:  2002-03
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  11 in total

Review 1.  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

2.  Accurate detection of low levels of fluorescence emission in autofluorescent background: francisella-infected macrophage cells.

Authors:  Ryan W Davis; Jerilyn A Timlin; Julia N Kaiser; Michael B Sinclair; Howland D T Jones; Todd W Lane
Journal:  Microsc Microanal       Date:  2010-06-22       Impact factor: 4.127

3.  Modulation of GdCl3 and Angelica sinensis polysaccharides on differentially expressed genes in liver of hepatic immunological injury mice by cDNA microarray.

Authors:  Hong Ding; Gang-Gang Shi; Xin Yu; Jie-Ping Yu; Jie-An Huang
Journal:  World J Gastroenterol       Date:  2003-05       Impact factor: 5.742

4.  Genomic analysis of stationary-phase and exit in Saccharomyces cerevisiae: gene expression and identification of novel essential genes.

Authors:  M Juanita Martinez; Sushmita Roy; Amanda B Archuletta; Peter D Wentzell; Sonia Santa Anna-Arriola; Angelina L Rodriguez; Anthony D Aragon; Gabriel A Quiñones; Chris Allen; Margaret Werner-Washburne
Journal:  Mol Biol Cell       Date:  2004-09-29       Impact factor: 4.138

5.  Array CGH phylogeny: how accurate are comparative genomic hybridization-based trees?

Authors:  Luz B Gilbert; Takao Kasuga; N Louise Glass; John W Taylor
Journal:  BMC Genomics       Date:  2011-10-06       Impact factor: 3.969

6.  Line-monitoring, hyperspectral fluorescence setup for simultaneous multi-analyte biosensing.

Authors:  Zhiyi Liu; Heng Shi; Le Liu; Sunan Deng; Yanhong Ji; Suihua Ma; Hui Ma; Yonghong He
Journal:  Sensors (Basel)       Date:  2011-10-25       Impact factor: 3.576

7.  Long-oligomer microarray profiling in Neurospora crassa reveals the transcriptional program underlying biochemical and physiological events of conidial germination.

Authors:  Takao Kasuga; Jeffrey P Townsend; Chaoguang Tian; Luz B Gilbert; Gertrud Mannhaupt; John W Taylor; N Louise Glass
Journal:  Nucleic Acids Res       Date:  2005-11-14       Impact factor: 16.971

8.  Hyperspectral microarray scanning: impact on the accuracy and reliability of gene expression data.

Authors:  Jerilyn A Timlin; David M Haaland; Michael B Sinclair; Anthony D Aragon; M Juanita Martinez; Margaret Werner-Washburne
Journal:  BMC Genomics       Date:  2005-05-11       Impact factor: 3.969

9.  Release of extraction-resistant mRNA in stationary phase Saccharomyces cerevisiae produces a massive increase in transcript abundance in response to stress.

Authors:  Anthony D Aragon; Gabriel A Quiñones; Edward V Thomas; Sushmita Roy; Margaret Werner-Washburne
Journal:  Genome Biol       Date:  2006-02-08       Impact factor: 13.583

10.  Microarray scanner calibration curves: characteristics and implications.

Authors:  Leming Shi; Weida Tong; Zhenqiang Su; Tao Han; Jing Han; Raj K Puri; Hong Fang; Felix W Frueh; Federico M Goodsaid; Lei Guo; William S Branham; James J Chen; Z Alex Xu; Stephen C Harris; Huixiao Hong; Qian Xie; Roger G Perkins; James C Fuscoe
Journal:  BMC Bioinformatics       Date:  2005-07-15       Impact factor: 3.169

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