Literature DB >> 18060859

Comparative proteomic and transcriptomic profiling of the human hepatocellular carcinoma.

Hirotaka Minagawa1, Masao Honda, Kenji Miyazaki, Yo Tabuse, Reiji Teramoto, Taro Yamashita, Ryuhei Nishino, Hajime Takatori, Teruyuki Ueda, Ken'ichi Kamijo, Shuichi Kaneko.   

Abstract

Proteome analysis of human hepatocellular carcinoma (HCC) was done using two-dimensional difference gel electrophoresis. To gain an understanding of the molecular events accompanying HCC development, we compared the protein expression profiles of HCC and non-HCC tissue from 14 patients to the mRNA expression profiles of the same samples made from a cDNA microarray. A total of 125 proteins were identified, and the expression profiles of 93 proteins (149 spots) were compared to the mRNA expression profiles. The overall protein expression ratios correlated well with the mRNA ratios between HCC and non-HCC (Pearson's correlation coefficient: r=0.73). Particularly, the HCC/non-HCC expression ratios of proteins involved in metabolic processes showed significant correlation to those of mRNA (r=0.9). A considerable number of proteins were expressed as multiple spots. Among them, several proteins showed spot-to-spot differences in expression level and their expression ratios between HCC and non-HCC poorly correlated to mRNA ratios. Such multi-spotted proteins might arise as a consequence of post-translational modifications.

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Year:  2007        PMID: 18060859     DOI: 10.1016/j.bbrc.2007.11.101

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  6 in total

1.  Activation of endothelial and epithelial K(Ca) 2.3 calcium-activated potassium channels by NS309 relaxes human small pulmonary arteries and bronchioles.

Authors:  Christel Kroigaard; Thomas Dalsgaard; Gorm Nielsen; Britt E Laursen; Hans Pilegaard; Ralf Köhler; Ulf Simonsen
Journal:  Br J Pharmacol       Date:  2012-09       Impact factor: 8.739

2.  Analysis of post-transcriptional regulations by a functional, integrated, and quantitative method.

Authors:  Benoît Laloo; Delphine Simon; Véronique Veillat; Dorine Lauzel; Véronique Guyonnet-Duperat; François Moreau-Gaudry; Francis Sagliocco; Christophe Grosset
Journal:  Mol Cell Proteomics       Date:  2009-08       Impact factor: 5.911

3.  Efficacy analysis of combining three comparative-omics profilings to screen candidate biological macromolecules.

Authors:  Ziwei Feng; Bei Lin; Yong Xu; Liancheng Zhu; Juanjuan Liu; Jian Gao
Journal:  Mol Biol Rep       Date:  2012-10-19       Impact factor: 2.316

4.  Proteomic identification of CIB1 as a potential diagnostic factor in hepatocellular carcinoma.

Authors:  Tong Junrong; Zhou Huancheng; He Feng; Gao Yi; Yang Xiaoqin; Luo Zhengmao; Zhang Hong; Zeng Jianying; Wang Yin; Huang Yuanhang; Zhang Jianlin; Sun Longhua; He Guolin
Journal:  J Biosci       Date:  2011-09       Impact factor: 1.826

5.  Comparative proteomic analysis of indica and japonica rice varieties.

Authors:  Yanhua Yang; Keming Zhu; Hengchuan Xia; Liang Chen; Keping Chen
Journal:  Genet Mol Biol       Date:  2014-10-21       Impact factor: 1.771

6.  A unique four-hub protein cluster associates to glioblastoma progression.

Authors:  Pasquale Simeone; Marco Trerotola; Andrea Urbanella; Rossano Lattanzio; Domenico Ciavardelli; Fabrizio Di Giuseppe; Enrica Eleuterio; Marilisa Sulpizio; Vincenzo Eusebi; Annalisa Pession; Mauro Piantelli; Saverio Alberti
Journal:  PLoS One       Date:  2014-07-22       Impact factor: 3.240

  6 in total

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