The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
Toxins, Targets, and Triggers: An Overview of Toxin-Antitoxin Biology
Open accessAbstract
Bacterial toxin-antitoxin (TA) modules are abundant genetic elements that encode a toxin protein capable of inhibiting cell growth and an antitoxin that counteracts the toxin. The majority of toxins are enzymes that interfere with translation or DNA replication, but a wide variety of molecular activities and cellular targets have been described. Antitoxins are proteins or RNAs that often control their cognate toxins through direct interactions and, in conjunction with other signaling elements, through transcriptional and translational regulation of TA module expression. Three major biological functions of TA modules have been discovered, post-segregational killing ("plasmid addiction"), abortive infection (bacteriophage immunity through altruistic suicide), and persister formation (antibiotic tolerance through dormancy). In this review, we summarize the current state of the field and highlight how multiple levels of regulation shape the conditions of toxin activation to achieve the different biological functions of TA modules.
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Cites
1 retracted
RETRACTED: Bacterial persistence by RNA endonucleases
Maisonneuve, E., Shakespeare, L. J., Jørgensen, M. G., & Gerdes, K. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1100186108 · Cited by 475
Self-citationRetractedLi, G.-W., Burkhardt, D., Gross, C., & Weissman, J. S. (2014) · Cell · doi:10.1016/j.cell.2014.02.033 · Cited by 1,251
Bistability, Epigenetics, and Bet-Hedging in Bacteria
Veening, J.-W., Smits, W. K., & Kuipers, O. P. (2008) · Annual Review of Microbiology · doi:10.1146/annurev.micro.62.081307.163002 · Cited by 1,018
Mechanisms of bacterial persistence during stress and antibiotic exposure
Harms, A., Maisonneuve, E., & Gerdes, K. (2016) · Science · doi:10.1126/science.aaf4268 · Cited by 919
Self-citationToxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes
Pandey, D. P. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki201 · Cited by 896
Specialized Persister Cells and the Mechanism of Multidrug Tolerance in Escherichia coli
Keren, I., Shah, D., Spoering, A., Kaldalu, N., & Lewis, K. (2004) · Journal of Bacteriology · doi:10.1128/jb.186.24.8172-8180.2004 · Cited by 856
Ciprofloxacin Causes Persister Formation by Inducing the TisB toxin in Escherichia coli
Dörr, T., Vulić, M., & Lewis, K. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000317 · Cited by 782
Internalization of Salmonella by Macrophages Induces Formation of Nonreplicating Persisters
Helaine, S., Cheverton, A. M., Watson, K. G., Faure, L. M., Matthews, S. A., & Holden, D. W. (2014) · Science · doi:10.1126/science.1244705 · Cited by 742
Toxin-antitoxin systems in bacterial growth arrest and persistence
Page, R., & Peti, W. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2044 · Cited by 702
Unique type of plasmid maintenance function: postsegregational killing of plasmid-free cells.
Gerdes, K., Rasmussen, P. B., & Molin, S. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.10.3116 · Cited by 688
Self-citation
Cited by
Antibiotic resistance and persistence—implications for human health and treatment perspectives
Huemer, M., Mairpady Shambat, S., Brugger, S. D., & Zinkernagel, A. S. (2020) · The EMBO Reports · doi:10.15252/embr.202051034 · Cited by 850
The pan-immune system of bacteria: antiviral defence as a community resource
Bernheim, A., & Sorek, R. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0278-2 · Cited by 675
Origins and evolution of CRISPR-Cas systems
Koonin, E. V., & Makarova, K. S. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0087 · Cited by 494
Relationship between the Viable but Nonculturable State and Antibiotic Persister Cells
Ayrapetyan, M., Williams, T., & Oliver, J. D. (2018) · Journal of Bacteriology · doi:10.1128/jb.00249-18 · Cited by 286
Bacterial retrons encode phage-defending tripartite toxin–antitoxin systems
Bobonis, J., Mitosch, K., Mateus, A., Karcher, N., Kritikos, G., Selkrig, J., Zietek, M., Monzon, V., Pfalz, B., Garcia-Santamarina, S., et al. (2022) · Nature · doi:10.1038/s41586-022-05091-4 · Cited by 165
Metadata
- Authors
- Harms, A., Brodersen, D. E., Mitarai, N., & Gerdes, K.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 70
- Issue
- 5
- Pages
- 768-784
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W2783707461
- Cited by
- 638
- References
- 116
- FWCI
- 45.53
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Harms, A., Brodersen, D. E., Mitarai, N., & Gerdes, K. (2018). Toxins, Targets, and Triggers: An Overview of Toxin-Antitoxin Biology. Molecular Cell. https://doi.org/10.1016/j.molcel.2018.01.003
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