Literature DB >> 15585824

A comparison of cDNA, oligonucleotide, and Affymetrix GeneChip gene expression microarray platforms.

Yong Woo1, Jason Affourtit, Sandra Daigle, Agnes Viale, Kevin Johnson, Jurgen Naggert, Gary Churchill.   

Abstract

We have conducted a study to compare the variability in measured gene expression levels associated with three types of microarray platforms. Total RNA samples were obtained from liver tissue of four male mice, two each from inbred strains A/J and C57BL/6J. The same four samples were assayed on Affymetrix Mouse Genome Expression Set 430 GeneChips (MOE430A and MOE430B), spotted cDNA microarrays, and spotted oligonucleotide microarrays using eight arrays of each type. Variances associated with measurement error were observed to be comparable across all microarray platforms. The MOE430A GeneChips and cDNA arrays had higher precision across technical replicates than the MOE430B GeneChips and oligonucleotide arrays. The Affymetrix platform showed the greatest range in the magnitude of expression levels followed by the oligonucleotide arrays. We observed good concordance in both estimated expression level and statistical significance of common genes between the Affymetrix MOE430A GeneChip and the oligonucleotide arrays. Despite their apparently high precision, cDNA arrays showed poor concordance with other platforms.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15585824      PMCID: PMC2291701     

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  20 in total

1.  Assessment of clone identity and sequence fidelity for 1189 IMAGE cDNA clones.

Authors:  R G Halgren; M R Fielden; C J Fong; T R Zacharewski
Journal:  Nucleic Acids Res       Date:  2001-01-15       Impact factor: 16.971

2.  Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray.

Authors:  T S Tanaka; S A Jaradat; M K Lim; G J Kargul; X Wang; M J Grahovac; S Pantano; Y Sano; Y Piao; R Nagaraja; H Doi; W H Wood; K G Becker; M S Ko
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

3.  Assessing gene significance from cDNA microarray expression data via mixed models.

Authors:  R D Wolfinger; G Gibson; E D Wolfinger; L Bennett; H Hamadeh; P Bushel; C Afshari; R S Paules
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

4.  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

5.  Microarray standard data set and figures of merit for comparing data processing methods and experiment designs.

Authors:  Yudong D He; Hongyue Dai; Eric E Schadt; Guy Cavet; Stephen W Edwards; Sergey B Stepaniants; Sven Duenwald; Robert Kleinhanz; Allan R Jones; Daniel D Shoemaker; Roland B Stoughton
Journal:  Bioinformatics       Date:  2003-05-22       Impact factor: 6.937

6.  Statistical significance for genomewide studies.

Authors:  John D Storey; Robert Tibshirani
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-25       Impact factor: 11.205

7.  A benchmark for Affymetrix GeneChip expression measures.

Authors:  Leslie M Cope; Rafael A Irizarry; Harris A Jaffee; Zhijin Wu; Terence P Speed
Journal:  Bioinformatics       Date:  2004-02-12       Impact factor: 6.937

8.  Improved statistical tests for differential gene expression by shrinking variance components estimates.

Authors:  Xiangqin Cui; J T Gene Hwang; Jing Qiu; Natalie J Blades; Gary A Churchill
Journal:  Biostatistics       Date:  2005-01       Impact factor: 5.899

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.  Expression monitoring by hybridization to high-density oligonucleotide arrays.

Authors:  D J Lockhart; H Dong; M C Byrne; M T Follettie; M V Gallo; M S Chee; M Mittmann; C Wang; M Kobayashi; H Horton; E L Brown
Journal:  Nat Biotechnol       Date:  1996-12       Impact factor: 54.908

View more
  44 in total

1.  Patterns of gene expression in pituitary carcinomas and adenomas analyzed by high-density oligonucleotide arrays, reverse transcriptase-quantitative PCR, and protein expression.

Authors:  Katharina H Ruebel; Alexey A Leontovich; Long Jin; Gail A Stilling; Heyu Zhang; Xiang Qian; Nobuki Nakamura; Bernd W Scheithauer; Kalman Kovacs; Ricardo V Lloyd
Journal:  Endocrine       Date:  2006-06       Impact factor: 3.633

Review 2.  Standards affecting the consistency of gene expression arrays in clinical applications.

Authors:  Steven A Enkemann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

Review 3.  The end of the microarray Tower of Babel: will universal standards lead the way?

Authors:  Ernest S Kawasaki
Journal:  J Biomol Tech       Date:  2006-07

Review 4.  Adenovirus vector induced innate immune responses: impact upon efficacy and toxicity in gene therapy and vaccine applications.

Authors:  Zachary C Hartman; Daniel M Appledorn; Andrea Amalfitano
Journal:  Virus Res       Date:  2007-11-26       Impact factor: 3.303

5.  Expression quantitative trait locus mapping of toxoplasma genes reveals multiple mechanisms for strain-specific differences in gene expression.

Authors:  Jon P Boyle; Jeroen P J Saeij; Scott Y Harada; Jim W Ajioka; John C Boothroyd
Journal:  Eukaryot Cell       Date:  2008-06-13

6.  Chromerid genomes reveal the evolutionary path from photosynthetic algae to obligate intracellular parasites.

Authors:  Yong H Woo; Hifzur Ansari; Thomas D Otto; Christen M Klinger; Martin Kolisko; Jan Michálek; Alka Saxena; Dhanasekaran Shanmugam; Annageldi Tayyrov; Alaguraj Veluchamy; Shahjahan Ali; Axel Bernal; Javier del Campo; Jaromír Cihlář; Pavel Flegontov; Sebastian G Gornik; Eva Hajdušková; Aleš Horák; Jan Janouškovec; Nicholas J Katris; Fred D Mast; Diego Miranda-Saavedra; Tobias Mourier; Raeece Naeem; Mridul Nair; Aswini K Panigrahi; Neil D Rawlings; Eriko Padron-Regalado; Abhinay Ramaprasad; Nadira Samad; Aleš Tomčala; Jon Wilkes; Daniel E Neafsey; Christian Doerig; Chris Bowler; Patrick J Keeling; David S Roos; Joel B Dacks; Thomas J Templeton; Ross F Waller; Julius Lukeš; Miroslav Oborník; Arnab Pain
Journal:  Elife       Date:  2015-07-15       Impact factor: 8.140

7.  Dysregulation of long non-coding RNA profiles in human colorectal cancer and its association with overall survival.

Authors:  Lei Yang; Lingling Xu; Qian Wang; Min Wang; Guangyu An
Journal:  Oncol Lett       Date:  2016-09-15       Impact factor: 2.967

Review 8.  Review of the literature examining the correlation among DNA microarray technologies.

Authors:  Carole L Yauk; M Lynn Berndt
Journal:  Environ Mol Mutagen       Date:  2007-06       Impact factor: 3.216

9.  Gene expression profiling in peanut using high density oligonucleotide microarrays.

Authors:  Paxton Payton; Kameswara Rao Kottapalli; Diane Rowland; Wilson Faircloth; Baozhu Guo; Mark Burow; Naveen Puppala; Maria Gallo
Journal:  BMC Genomics       Date:  2009-06-12       Impact factor: 3.969

10.  An oligo-based microarray offers novel transcriptomic approaches for the analysis of pathogen resistance and fruit quality traits in melon (Cucumis melo L.).

Authors:  Albert Mascarell-Creus; Joaquin Cañizares; Josep Vilarrasa-Blasi; Santiago Mora-García; José Blanca; Daniel Gonzalez-Ibeas; Montserrat Saladié; Cristina Roig; Wim Deleu; Belén Picó-Silvent; Nuria López-Bigas; Miguel A Aranda; Jordi Garcia-Mas; Fernando Nuez; Pere Puigdomènech; Ana I Caño-Delgado
Journal:  BMC Genomics       Date:  2009-10-12       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.