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Cited by 358

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Mechanisms of nickel toxicity in microorganisms

Open access
Macomber, Lee, Hausinger, Robert P.·2011·Metallomics

Abstract

Nickel has long been known to be an important human toxicant, including having the ability to form carcinomas, but until recently nickel was believed to be an issue only to microorganisms living in nickel-rich serpentine soils or areas contaminated by industrial pollution. This assumption was overturned by the discovery of a nickel defense system (RcnR/RcnA) found in microorganisms that live in a wide range of environmental niches, suggesting that nickel homeostasis is a general biological concern. To date, the mechanisms of nickel toxicity in microorganisms and higher eukaryotes are poorly understood. In this review, we summarize nickel homeostasis processes used by microorganisms and highlight in vivo and in vitro effects of exposure to elevated concentrations of nickel. On the basis of this evidence we propose four mechanisms of nickel toxicity: (1) nickel replaces the essential metal of metalloproteins, (2) nickel binds to catalytic residues of non-metalloenzymes; (3) nickel binds outside the catalytic site of an enzyme to inhibit allosterically and (4) nickel indirectly causes oxidative stress.

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Crossref · 10.1039/c1mt00063b

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Metadata

Authors
Macomber, L., & Hausinger, R. P.
Venue
Metallomics
Published
2011
Volume
3
Issue
11
Pages
1153
ISSN
  • 1756-5901 (ISSN-L)
  • 1756-591X
OpenAlex
W2105770217
Cited by
358
References
130
FWCI
8.36
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mechanisms of nickel toxicity in microorganisms. https://app.cochat.ai/papers/10.1039/c1mt00063b
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Macomber, L., & Hausinger, R. P. (2011). Mechanisms of nickel toxicity in microorganisms. Metallomics. https://doi.org/10.1039/c1mt00063b

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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).

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