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Cited by 237

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Protein Damage by Reactive Electrophiles: Targets and Consequences

Open access
Liebler, Daniel C.·2008·Chemical Research in Toxicology
DOI 10.1021/tx700235t
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Abstract

It has been 60 years since the Millers first described the covalent binding of carcinogens to tissue proteins. Protein covalent binding was gradually overshadowed by the emergence of DNA adduct formation as the dominant paradigm in chemical carcinogenesis but re-emerged in the early 1970s as a critical mechanism of drug and chemical toxicity. Technology limitations hampered the characterization of protein adducts until the emergence of mass spectrometry-based proteomics in the late 1990s. The time since then has seen rapid progress in the characterization of the protein targets of electrophiles and the consequences of protein damage. Recent integration of novel affinity chemistries for electrophile probes, shotgun proteomics methods, and systems modeling tools has led to the identification of hundreds of protein targets of electrophiles in mammalian systems. The technology now exists to map the targets of damage to critical components of signaling pathways and metabolic networks and to understand mechanisms of damage at a systems level. The implementation of sensitive, specific analyses for protein adducts from both xenobiotic-derived and endogenous electrophiles offers a means to link protein damage to clinically relevant health effects of both chemical exposures and disease processes.

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Metadata

Authors
Liebler, D. C.
Venue
Chemical Research in Toxicology
Publisher
American Chemical Society (ACS)
Published
2007-12-04
Volume
21
Issue
1
Pages
117-128
ISSN
  • 0893-228X (ISSN-L)
  • 1520-5010
DOI
10.1021/tx700235t
OpenAlex
W1974332498
Cited by
237
References
10
FWCI
5.46
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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