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Cited by 626

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Transition Metals in Control of Gene Expression

O'Halloran, Thomas V.·1993·Science

Abstract

Metalloproteins play structural and catalytic roles in gene expression. The metalloregulatory proteins are a subclass that exerts metal-responsive control of genes involved in respiration, metabolism, and metal-specific homeostasis or stress-response systems, such as iron uptake and storage, copper efflux, and mercury detoxification. Two allosteric mechanisms for control of gene expression were first discovered in metalloregulatory systems: an iron-responsive translational control mechanism for ferritin production and a mercury-responsive DNA-distortion mechanism for transcriptional control of detoxification genes. These otherwise unrelated mechanisms give rise to a rapid physiological response when metal ion concentrations exceed a dangerous threshold. Molecular recognition in these allosteric metal ion receptors is achieved through atypical coordination geometries, cluster formation, or complexes with prosthetic groups, such as sulfide and heme. Thus, many of the inorganic assemblies that otherwise buttress the structure of biopolymers or catalyze substrate transformation in active sites of enzymes have also been adapted to serve sensor functions in the metalloregulatory proteins. Mechanistic studies of these metal-sensor protein interactions are providing new insights into fundamental aspects of inorganic chemistry, molecular biology, and cellular physiology.

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Metadata

Authors
O'Halloran, T. V.
Venue
Science
Published
1993-08-06
Volume
261
Issue
5122
Pages
715-725
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2045300018
Cited by
626
References
5
FWCI
43.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transition Metals in Control of Gene Expression. https://app.cochat.ai/papers/10.1126/science.8342038
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O'Halloran, T. V. (1993). Transition Metals in Control of Gene Expression. Science. https://doi.org/10.1126/science.8342038

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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.