Literature DB >> 11161795

Quantitative assessment of DNA microarrays--comparison with Northern blot analyses.

M Taniguchi1, K Miura, H Iwao, S Yamanaka.   

Abstract

DNA microarray is a powerful technology that provides the expression profile of thousands of genes. However, less attention has been paid to its quantitative aspect. In this study, we constructed a small-scale DNA microarray that contains 84 genes and characterized its quantitative aspect. Analyses with this microarray showed that 17 genes were induced, whereas 8 genes were suppressed at least twofold during the differentiation of mouse embryonic stem cells. When repeated with the same combination of fluorescent dyes for probe labeling, the microarray produced consistent data (correlation coefficient = 0.991). In contrast, data were less consistent when repeated with the reverse combination of dyes (correlation coefficient = 0.945). The effect of dye combination was particularly evident in several genes. Total RNA (15 microg) and poly(A) RNA (0.5 microg) showed comparable sensitivity and produced essentially identical data (correlation coefficient = 0.983). The sensitivity of the DNA microarrays was slightly inferior to that of Northern blot analyses. In most genes, data obtained with the two methods were consistent. However, in 4 of 46 genes compared, DNA microarrays failed to detect the expression changes that were revealed by Northern blot. These data demonstrated that DNA microarrays provide quantitative data comparable to Northern blot in general, but a few issues must be considered when analyzing data. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11161795     DOI: 10.1006/geno.2000.6427

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  51 in total

1.  Development and evaluation of functional gene arrays for detection of selected genes in the environment.

Authors:  L Wu; D K Thompson; G Li; R A Hurt; J M Tiedje; J Zhou
Journal:  Appl Environ Microbiol       Date:  2001-12       Impact factor: 4.792

2.  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

3.  UniGene cDNA array-based monitoring of transcriptome changes during mouse placental development.

Authors:  M Hemberger; J C Cross; H H Ropers; H Lehrach; R Fundele; H Himmelbauer
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-06       Impact factor: 11.205

4.  Accuracy and calibration of commercial oligonucleotide and custom cDNA microarrays.

Authors:  Tony Yuen; Elisa Wurmbach; Robert L Pfeffer; Barbara J Ebersole; Stuart C Sealfon
Journal:  Nucleic Acids Res       Date:  2002-05-15       Impact factor: 16.971

5.  Transcription profiling of the early gravitropic response in Arabidopsis using high-density oligonucleotide probe microarrays.

Authors:  Nick Moseyko; Tong Zhu; Hur-Song Chang; Xun Wang; Lewis J Feldman
Journal:  Plant Physiol       Date:  2002-10       Impact factor: 8.340

6.  Genomic DNA standards for gene expression profiling in Mycobacterium tuberculosis.

Authors:  Adel M Talaat; Susan T Howard; Walker Hale; Rick Lyons; Harold Garner; Stephen Albert Johnston
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

7.  Microarray optimizations: increasing spot accuracy and automated identification of true microarray signals.

Authors:  Peter H Tran; Daniel A Peiffer; Yongchol Shin; Lauren M Meek; James P Brody; Ken W Y Cho
Journal:  Nucleic Acids Res       Date:  2002-06-15       Impact factor: 16.971

8.  Identification of transcription coactivator OCA-B-dependent genes involved in antigen-dependent B cell differentiation by cDNA array analyses.

Authors:  Unkyu Kim; Rachael Siegel; Xiaodi Ren; Cary S Gunther; Terry Gaasterland; Robert G Roeder
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-11       Impact factor: 11.205

9.  Global analysis of stress-regulated mRNA turnover by using cDNA arrays.

Authors:  Jinshui Fan; Xiaoling Yang; Wengong Wang; William H Wood; Kevin G Becker; Myriam Gorospe
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

10.  Evaluation of gene expression measurements from commercial microarray platforms.

Authors:  Paul K Tan; Thomas J Downey; Edward L Spitznagel; Pin Xu; Dadin Fu; Dimiter S Dimitrov; Richard A Lempicki; Bruce M Raaka; Margaret C Cam
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

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