Literature DB >> 10964511

Direct comparison of GeneChip and SAGE on the quantitative accuracy in transcript profiling analysis.

M Ishii1, S Hashimoto, S Tsutsumi, Y Wada, K Matsushima, T Kodama, H Aburatani.   

Abstract

Among the high-throughput, comprehensive technological methods used to analyze transcript expression levels, array-based hybridization and serial analysis of gene expression (SAGE) are currently the most common approaches. To compare the quantitative accuracy of oligonucleotide array and SAGE, both methods were carried out on identical RNA specimens prepared from human blood monocytes and granulocyte-macrophage colony-stimulating factor (GM-CSF)-induced macrophages. For SAGE analysis, 57,560 and 57,463 tags were obtained from monocytes and macrophages, respectively, resulting in approximately 28,000 different tags, while oligo array hybridization was performed with GeneChip (Affymetrix), which represents approximately 6000 transcripts. These two methods correlated quite well in both absolute expression analyses and comparative analyses during differentiation. The correlation was better for genes with higher expression levels and greater changes in expression. This finding suggests that GeneChip technology is reasonably reliable for quantitative analysis of expression profiling and would be appropriate as a common platform upon which to build a gene expression database. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10964511     DOI: 10.1006/geno.2000.6284

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


  39 in total

Review 1.  Methods for transcriptional profiling in plants. Be fruitful and replicate.

Authors:  Blake C Meyers; David W Galbraith; Timothy Nelson; Vikas Agrawal
Journal:  Plant Physiol       Date:  2004-06-01       Impact factor: 8.340

2.  The use of MPSS for whole-genome transcriptional analysis in Arabidopsis.

Authors:  Blake C Meyers; Shivakundan Singh Tej; Tam H Vu; Christian D Haudenschild; Vikas Agrawal; Steve B Edberg; Hassan Ghazal; Shannon Decola
Journal:  Genome Res       Date:  2004-08       Impact factor: 9.043

3.  Comparison of transcript profiling on Arabidopsis microarray platform technologies.

Authors:  Jeffrey D Pylatuik; Pierre R Fobert
Journal:  Plant Mol Biol       Date:  2005-07       Impact factor: 4.076

4.  Transporter and ion channel gene expression after Caco-2 cell differentiation using 2 different microarray technologies.

Authors:  Christopher P Landowski; Pascale Anderle; Duxin Sun; Wolfgang Sadee; Gordon L Amidon
Journal:  AAPS J       Date:  2004-09-07       Impact factor: 4.009

5.  Glucokinase and IRS-2 are required for compensatory beta cell hyperplasia in response to high-fat diet-induced insulin resistance.

Authors:  Yasuo Terauchi; Iseki Takamoto; Naoto Kubota; Junji Matsui; Ryo Suzuki; Kajuro Komeda; Akemi Hara; Yukiyasu Toyoda; Ichitomo Miwa; Shinichi Aizawa; Shuichi Tsutsumi; Yoshiharu Tsubamoto; Shinji Hashimoto; Kazuhiro Eto; Akinobu Nakamura; Mitsuhiko Noda; Kazuyuki Tobe; Hiroyuki Aburatani; Ryozo Nagai; Takashi Kadowaki
Journal:  J Clin Invest       Date:  2007-01       Impact factor: 14.808

6.  A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

Authors:  Adel F M Ibrahim; Peter E Hedley; Linda Cardle; Warren Kruger; David F Marshall; Gary J Muehlbauer; Robbie Waugh
Journal:  Funct Integr Genomics       Date:  2005-02-16       Impact factor: 3.410

7.  No accelerated rate of protein evolution in male-biased Drosophila pseudoobscura genes.

Authors:  Muralidhar Metta; Rambabu Gudavalli; Jean-Michel Gibert; Christian Schlötterer
Journal:  Genetics       Date:  2006-07-02       Impact factor: 4.562

8.  Expression and bioinformatic analysis of lymphoma-associated novel gene KIAA0372.

Authors:  Xiangyang Bai; Duozhuang Tang; Tao Zhu; Lishi Sun; Lingling Yan; Yunping Lu; Jianfeng Zhou; Ding Ma
Journal:  Front Med China       Date:  2007-02-01

9.  The gene expression patterns of peripheral blood mononuclear cells in patients with systemic lupus erythematosus.

Authors:  Shouxin Li; Wei Jiang; Rui Huang; Xiaohui Wang; Wen Liu; Shouyin Shen
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2007-08

10.  Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.

Authors:  Henrik Hornshøj; Emøke Bendixen; Lene N Conley; Pernille K Andersen; Jakob Hedegaard; Frank Panitz; Christian Bendixen
Journal:  BMC Genomics       Date:  2009-01-19       Impact factor: 3.969

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