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Cited by 223

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A New Pathway for Heavy Metal Detoxification in Animals

Open access
Vatamaniuk, Olena K., Bucher, Elizabeth A., Ward, James T., Rea, Philip A.·2001·Journal of Biological Chemistry

Abstract

Increasing emissions of heavy metals such as cadmium, mercury, and arsenic into the environment pose an acute problem for all organisms. Considerations of the biochemical basis of heavy metal detoxification in animals have focused exclusively on two classes of peptides, the thiol tripeptide, glutathione (GSH, gamma-Glu-Cys-Gly), and a diverse family of cysteine-rich low molecular weight proteins, the metallothioneins. Plants and some fungi, however, not only deploy GSH and metallothioneins for metal detoxification but also synthesize another class of heavy metal binding peptides termed phytochelatins (PCs) from GSH. Here we show that PC-mediated heavy metal detoxification is not restricted to plants and some fungi but extends to animals by demonstrating that the ce-pcs-1 gene of the nematode worm Caenorhabditis elegans encodes a functional PC synthase whose activity is critical for heavy metal tolerance in the intact organism.

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Crossref · 10.1074/jbc.c100152200

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Metadata

Authors
Vatamaniuk, O. K., Bucher, E. A., Ward, J. T., & Rea, P. A.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2001-06
Volume
276
Issue
24
Pages
20817-20820
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1971056228
Cited by
223
References
3
FWCI
10.64
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A New Pathway for Heavy Metal Detoxification in Animals. https://app.cochat.ai/papers/10.1074/jbc.c100152200
The paper
Vatamaniuk, O. K., Bucher, E. A., Ward, J. T., & Rea, P. A. (2001). A New Pathway for Heavy Metal Detoxification in Animals. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.c100152200

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.