The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Iron Acquisition and Metabolism by Mycobacteria
Open accessAbstract
Iron is an obligate cofactor for at least 40 different enzymes encoded in the Mycobacterium tuberculosis genome (8). It is required for the cytochromes involved in electron transport and other hemoproteins involved in oxygen metabolism, such as catalase-peroxidase KatG. Most of the intracellular iron in mycobacteria, however, is in the form of nonheme iron (48). One important form of nonheme iron is the iron-sulfur clusters that are cofactors of proteins involved in amino acid and pyrimidine biogenesis, as well as in enzymes involved in the tricarboxylic acid cycle and electron transport. Iron is also required for DNA synthesis in ribonucleotide reductase, superoxide dismutase, and 3-deoxy-d-arabino-heptulosonate 7-phosphate synthase (Rv2178c; DAHP synthase [Every gene in the genome of M. tuberculosis H37Rv has been assigned a gene identifier beginning with Rv which can be used to retrieve information on line; see reference 30a]). It has been estimated that 7 to 64 μg of Fe/g of mycobacterial cell mass is required to support growth (39, 48). Iron limitation in vitro to levels below these can result in growth restriction in many species of mycobacteria, including pathogens such as M. tuberculosis. Since iron is the fourth most abundant element, difficulty in its acquisition may seem counterintuitive. However, the extremely low solubility of ferric ion in aqueous solution makes obtaining it difficult and so microorganisms have evolved many strategies for acquiring sufficient soluble iron for aerobic growth.
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Cites
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
Cole, S. T., Brosch, R., Parkhill, J., Garnier, T., Churcher, C., Harris, D., Gordon, S. V., Eiglmeier, K., Gas, S., Barry, C. E., et al. (1998) · Nature · doi:10.1038/31159 · Cited by 7,847
Self-citationDe Voss, J. J., Rutter, K., Schroeder, B. G., Su, H., Zhu, Y., & Barry, C. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.3.1252 · Cited by 532
Self-citationKochan, I. (1973) · Current Topics in Microbiology and Immunology · doi:10.1007/978-3-642-65502-9_1 · Cited by 237
Gordeuk, V., McLaren, C., MacPhail, A., Deichsel, G., & Bothwell, T. (1996) · Blood · doi:10.1182/blood.v87.8.3470.bloodjournal8783470 · Cited by 154
Iron: Mammalian defense systems, mechanisms of disease, and chelation therapy approaches
Kontoghiorghes, G. J., & Weinberg, E. D. (1995) · Blood Reviews · doi:10.1016/0268-960x(95)90038-1 · Cited by 134
Mycobactin, a growth factor for Mycobacterium johnei. 1. Isolation from Mycobacterium phlei
Francis, J., Macturk, H. M., Madinaveitia, J., & Snow, G. A. (1953) · Biochemical Journal · doi:10.1042/bj0550596 · Cited by 121
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Hider, R. C., & Kong, X. (2010) · Natural Product Reports · doi:10.1039/b906679a · Cited by 1,722
Iron Metabolism in Pathogenic Bacteria
Ratledge, C., & Dover, L. G. (2000) · Annual Review of Microbiology · doi:10.1146/annurev.micro.54.1.881 · Cited by 1,539
Genetics and Assembly Line Enzymology of Siderophore Biosynthesis in Bacteria
Crosa, J. H., & Walsh, C. T. (2002) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.66.2.223-249.2002 · Cited by 797
Virulence factors of the Mycobacterium tuberculosis complex
Forrellad, M. A., Klepp, L. I., Gioffré, A., Sabio y García, J., Morbidoni, H. R., Santangelo, M. D. L. P., Cataldi, A. A., & Bigi, F. (2013) · Virulence · doi:10.4161/viru.22329 · Cited by 622
De Voss, J. J., Rutter, K., Schroeder, B. G., Su, H., Zhu, Y., & Barry, C. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.3.1252 · Cited by 532
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Metadata
- Authors
- De Voss, J. J., Rutter, K., Schroeder, B. G., & Barry, C. E.
- Venue
- Journal of Bacteriology
- Publisher
- American Society for Microbiology
- Published
- 1999-08
- Volume
- 181
- Issue
- 15
- Pages
- 4443-4451
- ISSN
- 0021-9193 (ISSN-L)
- 1098-5530
- OpenAlex
- W2156610233
- Cited by
- 268
- References
- 6
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.