4.7 Article

Hepatic transcriptome and proteome responses against diethyl maleate-induced glutathione depletion in the rat

Journal

ARCHIVES OF TOXICOLOGY
Volume 85, Issue 9, Pages 1045-1056

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00204-010-0632-7

Keywords

Liver; Glutathione; Microarray; Proteomics; Toxicogenomics

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Hepatic transcriptome and proteome responses against glutathione depletion were investigated by Affymetrix GeneChip Microarray and 2-dimensional gel electrophoresis (2D-DIGE), followed by MALDI-TOF-MS analysis and utilizing a glutathione-depleted rat model treated with diethyl maleate (DEM). Hepatic glutathione content decreased to 1.29 mu mol/g liver (25.5% compared to control) after DEM treatment, and there were no apparent hepatotoxic signs estimated by blood chemistry examinations. A total of 247 and 213 annotated gene probe sets exhibited greater than twofold up- and down-regulation compared with controls, respectively. The up-regulated gene list contained a number of glutathione depletion-responsive genes reported previously, such as Trib3, Srxn1, Myc, Asns, Igfbp1, Txnrd1, or Hmox1, suggesting that these genes are robust mRNA biomarkers for evaluating hepatic glutathione depletion. In the 2D-DIGE analysis, proteins for a total of 361 spots were identified by MALDI-TOF-MS analysis. Of the identified proteins, 5 and 14 proteins showed up- and down-regulation, respectively. Some proteins exhibited differential expression in the protein level but not in the mRNA level, including L-FABP, MAWDBP, aldo-keto reductase family 1 member A1, catalase and ATP synthase subunit beta, suggesting that these proteins would be potential protein biomarkers for evaluating glutathione depletion. Moreover, up-regulation of FABP1 protein along with up-regulation of PPAR alpha-regulated gene transcripts (i.e., Acot2 and Acot4) is indicative of PPAR alpha activation, which may contribute to hepatocellular protection against glutathione depletion-induced oxidative stress. The up-regulation of L-FABP1 was detected by proteome data but not by transcriptome data, demonstrating the advantage of utilizing transcriptomics and proteomics combination to investigate glutathione depletion-induced molecular dynamics.

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