The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Novel In Vitro Multiple-Stress Dormancy Model for Mycobacterium tuberculosis Generates a Lipid-Loaded, Drug-Tolerant, Dormant Pathogen
Open accessAbstract
BACKGROUND: Mycobacterium tuberculosis (Mtb) becomes dormant and phenotypically drug resistant when it encounters multiple stresses within the host. Inability of currently available drugs to kill latent Mtb is a major impediment to curing and possibly eradicating tuberculosis (TB). Most in vitro dormancy models, using single stress factors, fail to generate a truly dormant Mtb population. An in vitro model that generates truly dormant Mtb cells is needed to elucidate the metabolic requirements that allow Mtb to successfully go through dormancy, identify new drug targets, and to screen drug candidates to discover novel drugs that can kill dormant pathogen. METHODOLOGY/PRINCIPAL FINDINGS: We developed a novel in vitro multiple-stress dormancy model for Mtb by applying combined stresses of low oxygen (5%), high CO(2) (10%), low nutrient (10% Dubos medium) and acidic pH (5.0), conditions Mtb is thought to encounter in the host. Under this condition, Mtb stopped replicating, lost acid-fastness, accumulated triacylglycerol (TG) and wax ester (WE), and concomitantly acquired phenotypic antibiotic-resistance. Putative neutral lipid biosynthetic genes were up-regulated. These genes may serve as potential targets for new antilatency drugs. The triacylglycerol synthase1 (tgs1) deletion mutant, with impaired ability to accumulate TG, exhibited a lesser degree of antibiotic tolerance and complementation restored antibiotic tolerance. Transcriptome analysis with microarray revealed the achievement of dormant state showing repression of energy generation, transcription and translation machineries and induction of stress-responsive genes. We adapted this model for drug screening using the Alamar Blue dye to quantify the antibiotic tolerant dormant cells. CONCLUSIONS/SIGNIFICANCE: The new in vitro multiple stress dormancy model efficiently generates Mtb cells meeting all criteria of dormancy, and this method is adaptable to high-throughput screening for drugs that can kill dormant Mtb. A critical link between storage-lipid accumulation and development of phenotypic drug-resistance in Mtb was established. Storage lipid biosynthetic genes may be appropriate targets for novel drugs that can kill latent Mtb.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
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
Betts, J. C., Lukey, P. T., Robb, L. C., McAdam, R. A., & Duncan, K. (2002) · Molecular Microbiology · doi:10.1046/j.1365-2958.2002.02779.x · Cited by 1,395
Wayne, L. G., & Hayes, L. G. (1996) · Infection and Immunity · doi:10.1128/iai.64.6.2062-2069.1996 · Cited by 1,141
Park, H., Guinn, K. M., Harrell, M. I., Liao, R., Voskuil, M. I., Tompa, M., Schoolnik, G. K., & Sherman, D. R. (2003) · Molecular Microbiology · doi:10.1046/j.1365-2958.2003.03474.x · Cited by 712
Tuberculosis — metabolism and respiration in the absence of growth
Boshoff, H. I. M., & Barry, C. E. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1065 · Cited by 448
Cited by
Daniel, J., Maamar, H., Deb, C., Sirakova, T. D., & Kolattukudy, P. E. (2011) · PLoS Pathogens · doi:10.1371/journal.ppat.1002093 · Cited by 608
Self-citationCaseation of human tuberculosis granulomas correlates with elevated host lipid metabolism
Kim, M., Wainwright, H. C., Locketz, M., Bekker, L., Walther, G. B., Dittrich, C., Visser, A., Wang, W., Hsu, F., Wiehart, U., et al. (2010) · EMBO Molecular Medicine · doi:10.1002/emmm.201000079 · Cited by 489
Metabolic Regulation of Mycobacterial Growth and Antibiotic Sensitivity
Baek, S.-H., Li, A. H., & Sassetti, C. M. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001065 · Cited by 324
Cortes, T., Schubert, O. T., Rose, G., Arnvig, K. B., Comas, I., Aebersold, R., & Young, D. B. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.031 · Cited by 310
Andrabi, S. A., Kang, H. C., Haince, J.-F., Lee, Y.-I., Zhang, J., Chi, Z., West, A. B., Koehler, R. C., Poirier, G. G., Dawson, T. M., et al. (2011) · Nature Medicine · doi:10.1038/nm.2387 · Cited by 216
Metadata
- Authors
- Deb, C., Lee, C.-M., Dubey, V. S., Daniel, J., Abomoelak, B., Sirakova, T. D., Pawar, S., Rogers, L., & Kolattukudy, P. E.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-06-29
- Volume
- 4
- Issue
- 6
- Pages
- e6077
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2078663039
- Cited by
- 440
- References
- 6
- FWCI
- 12.15
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Novel In Vitro Multiple-Stress Dormancy Model for Mycobacterium tuberculosis Generates a Lipid-Loaded, Drug-Tolerant, Dormant Pathogen. https://app.cochat.ai/papers/10.1371/journal.pone.0006077
- The paper
- Deb, C., Lee, C.-M., Dubey, V. S., Daniel, J., Abomoelak, B., Sirakova, T. D., Pawar, S., Rogers, L., & Kolattukudy, P. E. (2009). A Novel In Vitro Multiple-Stress Dormancy Model for Mycobacterium tuberculosis Generates a Lipid-Loaded, Drug-Tolerant, Dormant Pathogen. PLoS ONE. https://doi.org/10.1371/journal.pone.0006077
Data sources
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.