Literature DB >> 12746117

Microarray analysis using amplified mRNA from laser capture microdissection of microscopic hepatocellular precancerous lesions and frozen hepatocellular carcinomas reveals unique and consistent gene expression profiles.

Sun Hee Yim1, Jerrold M Ward, Yvonne Dragan, Atsushi Yamada, Peter C Scacheri, Shioko Kimura, Frank J Gonzalez.   

Abstract

The indirect labeling cDNA microarray technique was used to evaluate gene expression profiles of pure cell populations from frozen sections of carcinomas and adenomas harvested from precancerous hepatocellular lesions by using laser capture microdissection (LCM). The levels of differentially expressed genes were investigated using a cDNA microarray with 9,984 features with only 2 ug of two-round amplified aRNA, equivalent to 35 cells from LCM-adenomas and frozen samples of carcinomas from simian virus 40 (SV40) large T antigen transgenic rats. A total of 855 genes were identified as being 3-fold or more differentially expressed in carcinomas or adenomas as compared to normal tissue controls. Among these 855 genes, 71 genes were differentially expressed in both carcinomas and adenomas. Commonly up-regulated genes in both carcinoma and adenomas were 28 while 41 of the 71 genes were commonly down-regulated. Two genes, Igh1 (immunoglobulin heavy chain 1(Serum IgG2a), Image clone ID: 875880) and EST clone (AI893585, Image clone ID: 596604) were more than 7-fold up-regulated in carcinomas and 6-fold down-regulated in adenomas. In Cy5 and Cy3 reciprocal experiments for screening out false positive signals, the amplified carcinomas showed higher Pearson Correlation Coefficient values (-0.94 and -0.92) than the LCM-amplified adenoma samples (-0.79 and -0.84). LCM-amplified samples provided higher signal intensities over backgrounds and a greater average of Cy5:Cy3 ratios. Expression levels of mRNAs from selected genes, determined by using traditional dot blot analysis, revealed that 36 of 40 tested expression profiles were consistent with the microarray data. Thus, amplified aRNA harvested from homogeneous cell types using LCM can be applied to study gene expression profiles by use of microarray analysis.

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Year:  2003        PMID: 12746117     DOI: 10.1080/01926230390204333

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  10 in total

1.  Peroxisome proliferator-activated receptor alpha regulates a microRNA-mediated signaling cascade responsible for hepatocellular proliferation.

Authors:  Yatrik M Shah; Keiichirou Morimura; Qian Yang; Tomotaka Tanabe; Mitsuhiro Takagi; Frank J Gonzalez
Journal:  Mol Cell Biol       Date:  2007-04-16       Impact factor: 4.272

2.  Regulation of bile acid biosynthesis by hepatocyte nuclear factor 4alpha.

Authors:  Yusuke Inoue; Ai-Ming Yu; Sun Hee Yim; Xiaochao Ma; Kristopher W Krausz; Junko Inoue; Charlie C Xiang; Michael J Brownstein; Gösta Eggertsen; Ingemar Björkhem; Frank J Gonzalez
Journal:  J Lipid Res       Date:  2005-11-01       Impact factor: 5.922

3.  Characterization of heterogeneity in the molecular pathogenesis of lupus nephritis from transcriptional profiles of laser-captured glomeruli.

Authors:  Karin S Peterson; Jing-Feng Huang; Jessica Zhu; Vivette D'Agati; Xuejun Liu; Nancy Miller; Mark G Erlander; Michael R Jackson; Robert J Winchester
Journal:  J Clin Invest       Date:  2004-06       Impact factor: 14.808

4.  Cell-type specific regulation of gene expression by simian virus 40 T antigens.

Authors:  Paul G Cantalupo; Maria Teresa Sáenz-Robles; Abhilasha V Rathi; Rebecca W Beerman; William H Patterson; Robert H Whitehead; James M Pipas
Journal:  Virology       Date:  2009-02-08       Impact factor: 3.616

5.  Construction and analysis of SSH cDNA library of human vascular endothelial cells related to gastrocarcinoma.

Authors:  Yong-Bo Liu; Zhao-Xia Wei; Li Li; Hang-Sheng Li; Hui Chen; Xiao-Wen Li
Journal:  World J Gastroenterol       Date:  2003-11       Impact factor: 5.742

6.  Optimization of N-hydroxysuccinimide ester coupling with aminoallyl-modified RNA for fluorescent labeling.

Authors:  Mengyang Li
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

7.  Toxicogenomic analysis of exposure to TCDD, PCB126 and PCB153: identification of genomic biomarkers of exposure to AhR ligands.

Authors:  Bladimir J Ovando; Corie A Ellison; Chad M Vezina; James R Olson
Journal:  BMC Genomics       Date:  2010-10-19       Impact factor: 3.969

8.  Successful drug development despite adverse preclinical findings part 1: processes to address issues and most important findings.

Authors:  Robert A Ettlin; Junji Kuroda; Stephanie Plassmann; David E Prentice
Journal:  J Toxicol Pathol       Date:  2010-12-16       Impact factor: 1.628

9.  Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling.

Authors:  H Fang; W Tong; R Perkins; L Shi; H Hong; X Cao; Q Xie; S H Yim; J M Ward; H C Pitot; Y P Dragan
Journal:  BMC Bioinformatics       Date:  2005-07-15       Impact factor: 3.169

10.  Elevated creatine kinase activity in primary hepatocellular carcinoma.

Authors:  Georg Meffert; Frank N Gellerich; Raimund Margreiter; Markus Wyss
Journal:  BMC Gastroenterol       Date:  2005-03-05       Impact factor: 3.067

  10 in total

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