Comparative proteomic and transcriptomic profiling of the human hepatocellular carcinoma

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 e...

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Veröffentlicht in:Biochemical and biophysical research communications 2008-02, Vol.366 (1), p.186-192
Hauptverfasser: Minagawa, Hirotaka, Honda, Masao, Miyazaki, Kenji, Tabuse, Yo, Teramoto, Reiji, Yamashita, Taro, Nishino, Ryuhei, Takatori, Hajime, Ueda, Teruyuki, Kamijo, Ken’ichi, Kaneko, Shuichi
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container_title Biochemical and biophysical research communications
container_volume 366
creator Minagawa, Hirotaka
Honda, Masao
Miyazaki, Kenji
Tabuse, Yo
Teramoto, Reiji
Yamashita, Taro
Nishino, Ryuhei
Takatori, Hajime
Ueda, Teruyuki
Kamijo, Ken’ichi
Kaneko, Shuichi
description 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.
doi_str_mv 10.1016/j.bbrc.2007.11.101
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subjects Aged
Biomarkers, Tumor - metabolism
Carcinoma, Hepatocellular - metabolism
cDNA microarray
Female
Gene Expression Profiling
Hepatocellular carcinoma
Humans
Liver - metabolism
Liver Neoplasms - metabolism
Male
Middle Aged
Neoplasm Proteins - metabolism
Proteome
Proteome - metabolism
Transcription Factors - metabolism
Transcriptome
Tumor Cells, Cultured
Two-dimensional difference gel electrophoresis
title Comparative proteomic and transcriptomic profiling of the human hepatocellular carcinoma
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