Literature DB >> 11730025

Hybridization cross-reactivity within homologous gene families on glass cDNA microarrays.

E M Evertsz1, J Au-Young, M V Ruvolo, A C Lim, M A Reynolds.   

Abstract

Glass cDNA microarrays can be used to profile the expression of thousands of gene targets in a single experiment. However, the potential for hybridization cross-reactivity needs to be considered when interpreting the results. Here, we describe hybridization experiments with a model array representing four distinct functional classes (families): chemokines, cytochrome P-450 isozymes, G proteins, and proteases. The cDNA clones selected for this array exhibited pairwise sequence identities ranging from 55% to 100%, as determined by a homology scoring algorithm (LALIGN). Targets for microarraying were amplified by PCR and spotted in 4-fold replication for signal averaging. One designated target from each family was further amplified by PCR to incorporate a T7 promoter sequence for the production of synthetic RNA transcripts. These transcripts were used to generate fluorescent hybridization probes by reverse transcription at varying input concentrations. As expected, hybridization signals were highest at the matching target elements. Targets containing less than 80% sequence identity relative to the hybridization probe sequences showed cross-reactivities ranging from 0.6% to 12%. Targets containing greater than 80% identity showed higher cross-reactivities (26%-57%). These cross-reactive signals were analyzed for statistical correlation with the length of sequence overlap, percent sequence identity, and homology score determined by LALIGN. Overall, percent sequence identity was the best predictor of hybridization cross-reactivity. These results provide useful guidelines for interpreting glass cDNA microarray data.

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Year:  2001        PMID: 11730025     DOI: 10.2144/01315dd03

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  29 in total

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Authors:  Fiona M Roche; Karsten Hokamp; Michael Acab; Lorne A Babiuk; Robert E W Hancock; Fiona S L Brinkman
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Optimization of probe length and the number of probes per gene for optimal microarray analysis of gene expression.

Authors:  Cheng-Chung Chou; Chun-Houh Chen; Te-Tsui Lee; Konan Peck
Journal:  Nucleic Acids Res       Date:  2004-07-08       Impact factor: 16.971

3.  Development of a citrus genome-wide EST collection and cDNA microarray as resources for genomic studies.

Authors:  J Forment; J Gadea; L Huerta; L Abizanda; J Agusti; S Alamar; E Alos; F Andres; R Arribas; J P Beltran; A Berbel; M A Blazquez; J Brumos; L A Canas; M Cercos; J M Colmenero-Flores; A Conesa; B Estables; M Gandia; J L Garcia-Martinez; J Gimeno; A Gisbert; G Gomez; L Gonzalez-Candelas; A Granell; J Guerri; M T Lafuente; F Madueno; J F Marcos; M C Marques; F Martinez; M A Martinez-Godoy; S Miralles; P Moreno; L Navarro; V Pallas; M A Perez-Amador; J Perez-Valle; C Pons; I Rodrigo; P L Rodriguez; C Royo; R Serrano; G Soler; F Tadeo; M Talon; J Terol; M Trenor; L Vaello; O Vicente; Ch Vidal; L Zacarias; V Conejero
Journal:  Plant Mol Biol       Date:  2005-02       Impact factor: 4.076

4.  Development of ChillPeach genomic tools and identification of cold-responsive genes in peach fruit.

Authors:  Ebenezer A Ogundiwin; Cristina Martí; Javier Forment; Clara Pons; Antonio Granell; Thomas M Gradziel; Cameron P Peace; Carlos H Crisosto
Journal:  Plant Mol Biol       Date:  2008-07-27       Impact factor: 4.076

5.  Suspension array analysis of 16S rRNA from Fe- and SO(4)2- reducing bacteria in uranium-contaminated sediments undergoing bioremediation.

Authors:  Darrell P Chandler; Ann E Jarrell; Eric R Roden; Julia Golova; Boris Chernov; Matthew J Schipma; Aaron D Peacock; Philip E Long
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

6.  Characterization of the genome composition of Bartonella koehlerae by microarray comparative genomic hybridization profiling.

Authors:  Hillevi L Lindroos; Alex Mira; Dirk Repsilber; Olga Vinnere; Kristina Näslund; Michaela Dehio; Christoph Dehio; Siv G E Andersson
Journal:  J Bacteriol       Date:  2005-09       Impact factor: 3.490

7.  Influence of age, sex, and strength training on human muscle gene expression determined by microarray.

Authors:  Stephen M Roth; Robert E Ferrell; David G Peters; E Jeffrey Metter; Ben F Hurley; Marc A Rogers
Journal:  Physiol Genomics       Date:  2002-09-03       Impact factor: 3.107

8.  Use of human cDNA microarrays for identification of differentially expressed genes in Atlantic salmon liver during Aeromonas salmonicida infection.

Authors:  Stephen C M Tsoi; Jacqueline M Cale; Ian M Bird; Vanya Ewart; Laura L Brown; Susan Douglas
Journal:  Mar Biotechnol (NY)       Date:  2003-09-29       Impact factor: 3.619

9.  Guidelines for incorporating non-perfectly matched oligonucleotides into target-specific hybridization probes for a DNA microarray.

Authors:  Inhan Lee; Alan A Dombkowski; Brian D Athey
Journal:  Nucleic Acids Res       Date:  2004-02-02       Impact factor: 16.971

10.  Comparative analysis of the global transcriptome of Anopheles funestus from Mali, West Africa.

Authors:  Andrew C Serazin; Ali N Dana; Maureen E Hillenmeyer; Neil F Lobo; Mamadou B Coulibaly; Michael B Willard; Brent W Harker; Igor V Sharakhov; Frank H Collins; Jose M C Ribeiro; Nora J Besansky
Journal:  PLoS One       Date:  2009-11-19       Impact factor: 3.240

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