Literature DB >> 9651401

Identification of the hepatic protein targets of reactive metabolites of acetaminophen in vivo in mice using two-dimensional gel electrophoresis and mass spectrometry.

Y Qiu1, L Z Benet, A L Burlingame.   

Abstract

Liver toxicity following an overdose of acetaminophen is frequently considered a model for drug-induced hepatotoxicity. Extensive studies over many years have established that such toxicity is well correlated with liver protein arylation by acetaminophen metabolites. Identification of protein targets for covalent modifications is a challenging but necessary step in understanding how covalent binding could lead to liver toxicity. Previous approaches suffered from technical limitations, and thus over the last 10 years heroic efforts were required to determine the identity of only a few target proteins. We present a new mass spectrometry-based strategy for identification of all target proteins that now provides a comprehensive survey of the suite of liver proteins modified. After administration of radiolabeled acetaminophen to mice, the proteins in the liver tissue lysate were separated by two-dimensional polyacrylamide gel electrophoresis. In-gel digestion of the radiolabeled gel spots gave a set of tryptic peptides, which were analyzed by matrix-assisted laser desorption ionization mass spectrometry. Interrogation of data bases based on experimentally determined molecular weights of peptides and product ion tags from postsource decay mass spectra was employed for the determination of the identities of modified liver proteins. Using this method, more than 20 new drug-labeled proteins have been identified.

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Year:  1998        PMID: 9651401     DOI: 10.1074/jbc.273.28.17940

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  79 in total

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Authors:  Matthew McMillin; Stephanie Grant; Gabriel Frampton; Anca D Petrescu; Elaina Williams; Brandi Jefferson; Sharon DeMorrow
Journal:  Toxicol Sci       Date:  2019-05-01       Impact factor: 4.849

2.  Quantitative Chemical Proteomic Profiling of the in Vivo Targets of Reactive Drug Metabolites.

Authors:  Landon R Whitby; R Scott Obach; Gabriel M Simon; Matthew M Hayward; Benjamin F Cravatt
Journal:  ACS Chem Biol       Date:  2017-06-21       Impact factor: 5.100

Review 3.  Cytochrome P450s and other enzymes in drug metabolism and toxicity.

Authors:  F Peter Guengerich
Journal:  AAPS J       Date:  2006-03-10       Impact factor: 4.009

Review 4.  Protein damage by reactive electrophiles: targets and consequences.

Authors:  Daniel C Liebler
Journal:  Chem Res Toxicol       Date:  2007-12-04       Impact factor: 3.739

5.  Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury.

Authors:  Yuan Gao; Zhijun Cao; Xi Yang; Mohamed A Abdelmegeed; Jinchun Sun; Si Chen; Richard D Beger; Kelly Davis; William F Salminen; Byoung-Joon Song; Donna L Mendrick; Li-Rong Yu
Journal:  Proteomics Clin Appl       Date:  2016-10-28       Impact factor: 3.494

Review 6.  Role of autophagy in alcohol and drug-induced liver injury.

Authors:  Jessica A Williams; Wen-Xing Ding
Journal:  Food Chem Toxicol       Date:  2019-12-23       Impact factor: 6.023

7.  Oxidative Stress and Acute Hepatic Injury.

Authors:  Anup Ramachandran; Hartmut Jaeschke
Journal:  Curr Opin Toxicol       Date:  2018-02

8.  Robust protein nitration contributes to acetaminophen-induced mitochondrial dysfunction and acute liver injury.

Authors:  Mohamed A Abdelmegeed; Sehwan Jang; Atrayee Banerjee; James P Hardwick; Byoung-Joon Song
Journal:  Free Radic Biol Med       Date:  2013-02-27       Impact factor: 7.376

9.  Mechanism of protection by metallothionein against acetaminophen hepatotoxicity.

Authors:  Chieko Saito; Hui-Min Yan; Antonio Artigues; Maria T Villar; Anwar Farhood; Hartmut Jaeschke
Journal:  Toxicol Appl Pharmacol       Date:  2009-10-14       Impact factor: 4.219

Review 10.  Filling and mining the reactive metabolite target protein database.

Authors:  Robert P Hanzlik; Jianwen Fang; Yakov M Koen
Journal:  Chem Biol Interact       Date:  2008-09-06       Impact factor: 5.192

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