The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Plant metallothioneins – metal chelators with ROS scavenging activity?
Abstract
Metallothioneins (MTs) are ubiquitous cysteine‐rich proteins present in plants, animals, fungi and cyanobacteria. In plants, MTs are suggested to be involved in metal tolerance or homeostasis, as they are able to bind metal ions through the thiol groups of their cysteine residues. Recent reports show that MTs are also involved in the scavenging of reactive oxygen species (ROS). The interplay between these roles is not entirely clear. Plants have many MT isoforms with overlapping expression patterns, and no specific role for any of them has been assigned. This review is focused on recent findings on plant MTs.
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Cites
Cellular mechanisms for heavy metal detoxification and tolerance
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P HYTOCHELATINS AND M ETALLOTHIONEINS : Roles in Heavy Metal Detoxification and Homeostasis
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Metallothionein: the multipurpose protein
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Evolution of metal hyperaccumulation required cis-regulatory changes and triplication of HMA4
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Cited by
Managing heavy metal toxicity stress in plants: Biological and biotechnological tools
Ovečka, M., & Takáč, T. (2014) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.11.011 · Cited by 273
Effect of Heavy Metals in Plants of the Genus Brassica
Mourato, M., Moreira, I., Leitão, I., Pinto, F., Sales, J., & Martins, L. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160817975 · Cited by 269
Metadata
- Authors
- Hassinen, V. H., Tervahauta, A. I., Schat, H., & Kärenlampi, S. O.
- Venue
- Plant Biology
- Publisher
- Wiley
- Published
- 2010-08-26
- Volume
- 13
- Issue
- 2
- Pages
- 225-232
- ISSN
- 1435-8603 (ISSN-L)
- 1438-8677
- OpenAlex
- W1588002641
- Cited by
- 278
- References
- 60
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
