The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Controlling gene expression in mycobacteria with anhydrotetracycline and Tet repressor
Open accessAbstract
Gene expression systems that allow the regulation of bacterial genes during an infection are valuable molecular tools but are lacking for mycobacterial pathogens. We report the development of mycobacterial gene regulation systems that allow controlling gene expression in fast and slow-growing mycobacteria, including Mycobacterium tuberculosis, using anhydrotetracycline (ATc) as inducer. The systems are based on the Escherichia coli Tn10-derived tet regulatory system and consist of a strong tet operator (tetO)-containing mycobacterial promoter, expression cassettes for the repressor TetR and the chemical inducer ATc. These systems allow gene regulation over two orders of magnitude in Mycobacterium smegmatis and M.tuberculosis. TetR-controlled gene expression was inducer concentration-dependent and maximal with ATc concentrations at least 10- and 20-fold below the minimal inhibitory concentration for M.smegmatis and M.tuberculosis, respectively. Using the essential mycobacterial gene ftsZ, we showed that these expression systems can be used to construct conditional knockouts and to analyze the function of essential mycobacterial genes. Finally, we demonstrated that these systems allow gene regulation in M.tuberculosis within the macrophage phagosome.
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Citations
Cites
Transcriptional Adaptation of Mycobacterium tuberculosis within Macrophages
Schnappinger, D., Ehrt, S., Voskuil, M. I., Liu, Y., Mangan, J. A., Monahan, I. M., Dolganov, G., Efron, B., Butcher, P. D., Nathan, C., et al. (2003) · The Journal of Experimental Medicine · doi:10.1084/jem.20030846 · Cited by 1,420
Self-citationExploration of Essential Gene Functions via Titratable Promoter Alleles
Mnaimneh, S., Davierwala, A. P., Haynes, J., Moffat, J., Peng, W.-T., Zhang, W., Yang, X., Pootoolal, J., Chua, G., Lopez, A., et al. (2004) · Cell · doi:10.1016/j.cell.2004.06.013 · Cited by 604 · cited 1×
“Inducible gene expression systems are powerful tools for studying gene function and for the validation of drug targets in bacteria (4,5).”
BackgroundDziadek, J., Madiraju, M. V. V. S., Rutherford, S. A., Atkinson, M. A. L., & Rajagopalan, M. (2002) · Microbiology · doi:10.1099/00221287-148-4-961 · Cited by 63
Cited by
Rock, J. M., Hopkins, F. F., Chavez, A., Diallo, M., Chase, M. R., Gerrick, E. R., Pritchard, J. R., Church, G. M., Rubin, E. J., Sassetti, C. M., et al. (2017) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.274 · Cited by 538
The Mycobacterium tuberculosis regulatory network and hypoxia
Galagan, J. E., Minch, K., Peterson, M., Lyubetskaya, A., Azizi, E., Sweet, L., Gomes, A., Rustad, T., Dolganov, G., Glotova, I., et al. (2013) · Nature · doi:10.1038/nature12337 · Cited by 431
Bacterial Growth and Cell Division: a Mycobacterial Perspective
Hett, E. C., & Rubin, E. J. (2008) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00028-07 · Cited by 408
A membrane protein preserves intrabacterial pH in intraphagosomal Mycobacterium tuberculosis
Vandal, O. H., Pierini, L. M., Schnappinger, D., Nathan, C. F., & Ehrt, S. (2008) · Nature Medicine · doi:10.1038/nm.1795 · Cited by 368
Self-citationGenome-wide gene expression tuning reveals diverse vulnerabilities of M. tuberculosis
Bosch, B., DeJesus, M. A., Poulton, N. C., Zhang, W., Engelhart, C. A., Zaveri, A., Lavalette, S., Ruecker, N., Trujillo, C., Wallach, J. B., et al. (2021) · Cell · doi:10.1016/j.cell.2021.06.033 · Cited by 316
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Metadata
- Authors
- Ehrt, S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-01-19
- Volume
- 33
- Issue
- 2
- Pages
- e21-e21
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2066958748
- Cited by
- 383
- References
- 3
- FWCI
- 8.91
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
