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Deletion of a mycobacterial divisome factor collapses single-cell phenotypic heterogeneity
Open accessAbstract
Microorganisms are often studied as populations but the behaviour of single, individual cells can have important consequences. For example, tuberculosis, caused by the bacterial pathogen Mycobacterium tuberculosis, requires months of antibiotic therapy even though the bulk of the bacterial population dies rapidly. Shorter courses lead to high rates of relapse because subpopulations of bacilli can survive despite being genetically identical to those that are easily killed. In fact, mycobacteria create variability each time a cell divides, producing daughter cells with different sizes and growth rates. The mechanism(s) that underlie this high-frequency variation and how variability relates to survival of the population are unknown. Here we show that mycobacteria actively create heterogeneity. Using a fluorescent reporter and a fluorescence-activated cell sorting (FACS)-based transposon screen, we find that deletion of lamA, a gene of previously unknown function, decreases heterogeneity in the population by decreasing asymmetric polar growth. LamA has no known homologues in other organisms, but is highly conserved across mycobacterial species. We find that LamA is a member of the mycobacterial division complex (the 'divisome'). It inhibits growth at nascent new poles, creating asymmetry in polar growth. The kinetics of killing individual cells that lack lamA are more uniform and more rapid with rifampicin and drugs that target the cell wall. Our results show that mycobacteria encode a non-conserved protein that controls the pattern of cell growth, resulting in a population that is both heterogeneous and better able to survive antibiotic pressure.
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“Strikingly, asymmetric division is an actively regulated process, not the result of random septal placement; a mutant of M. smegmatis lacking lamA elongates and divides symmetrically (124).”
From Mycobacterium smegmatis: The Vanguard of Mycobacterial Research (2023) · cites this paper as [124]
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“LamA localizes to the septum, where it interacts with the PBP PonA1 and inhibits growth at the developing new pole.”
From The mycobacterial cell envelope — a moving target (2020) · cites this paper as [40]
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Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952
Distinguishing between resistance, tolerance and persistence to antibiotic treatment
Brauner, A., Fridman, O., Gefen, O., & Balaban, N. Q. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.34 · Cited by 1,612
Cell-Size Control and Homeostasis in Bacteria
Taheri-Araghi, S., Bradde, S., Sauls, J. T., Hill, N. S., Levin, P. A., Paulsson, J., Vergassola, M., & Jun, S. (2014) · Current Biology · doi:10.1016/j.cub.2014.12.009 · Cited by 715
Recombineering in Mycobacterium tuberculosis
van Kessel, J. C., & Hatfull, G. F. (2006) · Nature Methods · doi:10.1038/nmeth996 · Cited by 586
Dynamic Persistence of Antibiotic-Stressed Mycobacteria
Wakamoto, Y., Dhar, N., Chait, R., Schneider, K., Signorino‐Gelo, F., Leibler, S., & McKinney, J. D. (2013) · Science · doi:10.1126/science.1229858 · Cited by 536
A Constant Size Extension Drives Bacterial Cell Size Homeostasis
Campos, M., Surovtsev, I. V., Kato, S., Paintdakhi, A., Beltran, B. G., Ebmeier, S., & Jacobs, C. (2014) · Cell · doi:10.1016/j.cell.2014.11.022 · Cited by 475
Asymmetry and Aging of Mycobacterial Cells Lead to Variable Growth and Antibiotic Susceptibility
Aldridge, B. B., Fernandez-Suarez, M., Heller, D., Ambravaneswaran, V., Irimia, D., Toner, M., & Fortune, S. M. (2012) · Science · doi:10.1126/science.1216166 · Cited by 454
In vivo transposition of mariner -based elements in enteric bacteria and mycobacteria
Rubin, E. J., Akerley, B. J., Novik, V., Lampe, D. J., Husson, R. N., & Mekalanos, J. J. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1645 · Cited by 358
Self-citationRole of individual drugs in the chemotherapy of tuberculosis.
Mitchison, D. A. (2000) · PubMed · Cited by 314
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Items 101–187 of 187
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Mishra, S., & Saito, K. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.1029111 · Cited by 14
Fishbein, S. R. S., Tomasi, F. G., Wolf, I. D., Dulberger, C. L., Wang, A., Keshishian, H., Wallace, L., Carr, S. A., Ioerger, T. R., Rego, E. H., et al. (2020) · Journal of Bacteriology · doi:10.1128/jb.00604-20 · Cited by 13
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Giacalone, D., Huang, L., & Tan, S. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1460-0_17 · Cited by 9
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Chen, Y., Pan, M., Chen, Y.-M., & Javid, B. (2019) · Journal of Visualized Experiments · doi:10.3791/59453 · Cited by 10
de Wet, T. J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.17605/osf.io/6x7vb · Cited by 12
Compartmentalized cell envelope biosynthesis in Mycobacterium tuberculosis
Puffal, J., Sparks, I. L., Brenner, J. R., Li, X., Leszyk, J., Hayashi, J. M., Shaffer, S. A., & Morita, Y. S. (2025) · mBio · doi:10.1128/mbio.02680-25 · Cited by 13
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Sau, S., Roy, A., Agnivesh, P. K., Kumar, S., Guru, S. K., Sharma, S., & Kalia, N. P. (2023) · Journal of Medical Microbiology · doi:10.1099/jmm.0.001695 · Cited by 9
Antibiotic chemotherapy against heterogeneous pathogen populations in complex host tissues
Bumann, D., Fanous, J., Li, J., & Goormaghtigh, F. (2019) · F1000Research · doi:10.12688/f1000research.19441.1 · Cited by 8
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Wang, R., & Ehrt, S. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.626461 · Cited by 6
Li, C., Gong, Y., Wang, X., Xu, J., & Ma, B. (2021) · Small · doi:10.1002/smll.202100325 · Cited by 8
Huang, L., Nazarova, E. V., & Russell, D. G. (2020) · John Wiley & Sons, Inc. eBooks · doi:10.1128/9781683670261.ch9 · Cited by 9
Mo, N., Zhang, X., Shi, W., Yu, G., Chen, X., & Yang, J. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa332 · Cited by 7
Mejia-Santana, A., Collins, R. R. J., Doud, E. H., & Landeta, C. (2025) · mBio · doi:10.1128/mbio.01083-25 · Cited by 7
Gao, B., Wang, J., Huang, J., Huang, X., Sha, W., & Qin, L. (2018) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2018.12.012 · Cited by 7
What you see is what you get: activity-based probes in single-cell analysis of enzymatic activities
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Joshi, H., Kandari, D., Maitra, S. S., Bhatnagar, R., & Banerjee, N. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1302883 · Cited by 6
High‐throughput functional genomics: A (myco)bacterial perspective
Winkler, K., Mizrahi, V., Warner, D. F., & de Wet, T. J. (2023) · Molecular Microbiology · doi:10.1111/mmi.15103 · Cited by 5
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Melzer, E. S., Kado, T., García‐Heredia, A., Gupta, K. R., Méniche, X., Morita, Y. S., Sassetti, C. M., Rego, E. H., & Siegrist, M. S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.26.465981 · Cited by 6
Self-citationMartinecz, A., Boeree, M. J., Diacon, A. H., Dawson, R., Hemez, C. F., Aarnoutse, R. E., & Wiesch, P. A. Z. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011000 · Cited by 5
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Martinecz, A., Clarelli, F., Abel, S., & Wiesch, P. A. Z. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20163965 · Cited by 5
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Baranowski, C., Welsh, M. A., Sham, L., Eskandarian, H. A., Lim, H. C., Kieser, K. J., Wagner, J. C., McKinney, J. D., Fantner, G. E., Ioerger, T. R., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/291823 · Cited by 5
Self-citationLehmusvaara, S., Sillanpää, A., Wouters, M., Korhonen, R., Vahvelainen, N., Luukinen, H., Deptula, P., Savijoki, K., Hammarén, M. M., & Parikka, M. (2025) · npj Biofilms and Microbiomes · doi:10.1038/s41522-025-00743-5 · Cited by 5
Redefining genetic essentiality in Mycobacterium tuberculosis
Patil, S., Palande, A., Lodhiya, T., Pandit, A., & Mukherjee, R. (2020) · Gene · doi:10.1016/j.gene.2020.145091 · Cited by 4
Kirubakar, G., Johnston, L., Lee, B. N. R., Russell, D. G., & Simwela, N. V. (2025) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00795-25 · Cited by 4
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Huang, X., Huang, J., Zhong, C. C., & Wong, M. C. S. (2025) · Microorganisms · doi:10.3390/microorganisms13122766 · Cited by 2
Sakarin, I., Clabeaux, C., Parkin, L. A., & Seeliger, J. C. (2026) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.5c00790 · Cited by 2
Hedging their bets: how bacterial pathogens diversify to survive infection
Mattioli, C. C. (2026) · Current Opinion in Microbiology · doi:10.1016/j.mib.2026.102729 · Cited by 3
Klevorn, T., Brown, C. D., Hardy, C. D., Cuthbert, B. J., Spencer, A., Jinich, A., Chan, L., Angala, S. K., Manzer, J., Mendoza, J., et al. (2026) · Science Advances · doi:10.1126/sciadv.aec5100 · Cited by 2
Xiao, M., Song, C. H. E. N., Peng, L. U., Sui-Ping, D. E. N. G., & Yang, P. (2022) · Chinese Journal of Analytical Chemistry · doi:10.1016/j.cjac.2022.100141 · Cited by 2
Measurement of Specific Mycobacterial Mistranslation Rates with Gain-of-function Reporter Systems
Chen, Y., Pan, M., Chen, Y.-M., & Javid, B. (2019) · Journal of Visualized Experiments · doi:10.3791/59453-v · Cited by 2
Vijay, S., Bao, N. L. H., Vinh, D. N., Nhat, L. T. H., Thu, D. D. A., Quang, N. L., Trieu, L. P. T., Nhung, H. N., Ha, V. T. N., Thai, P. V. K., et al. (2024) · eLife · doi:10.7554/elife.93243.3 · Cited by 2
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Boot, M., & Rego, E. H. (2019) · Springer eBooks · doi:10.1007/978-3-030-25241-0_11 · Cited by 2
Self-citationBaranowski, C., Rego, E. H., & Rubin, E. J. (2019) · ASM Press eBooks · doi:10.1128/9781683670131.ch66 · Cited by 2
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García‐Heredia, A., Pohane, A. A., Melzer, E. S., Carr, C. R., Fiolek, T. J., Rundell, S. R., Lim, H. C., Wagner, J. C., Morita, Y. S., Swarts, B. M., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/292607 · Cited by 2
Rubin, E. J. (2018) · New England Journal of Medicine · doi:10.1056/nejme1808564 · Cited by 2
Self-citationArejan, N. H., Patel, P. B., Quintanilla, S. Y., Saleh, A. E., & Boutte, C. C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.12.488113 · Cited by 2
Jaisinghani, N., Previti, M. L., Andrade, J., Askenazi, M., Ueberheide, B. M., & Seeliger, J. C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.29.534792 · Cited by 2
Modular toolkit to facilitate molecular manipulations in mycobacteria
Khuntia, A. K., Dabla, A., Kapoor, Y., Chakraborty, A., Ebenezer, P., & Nandicoori, V. K. (2026) · Journal of Bacteriology · doi:10.1128/jb.00474-25 · Cited by 1
Heterogeneity in microbial antibiotic responses: genetic basis and within-host evolution
Liu, Q., & Lyu, L.-D. (2026) · Trends in Genetics · doi:10.1016/j.tig.2026.03.008 · Cited by 3
Li, Y., Chen, J., Zhang, W., Li, J., & Pu, Y. (2026) · Cell Insight · doi:10.1016/j.cellin.2026.100358 · Cited by 1
Russell, D. G. (2017) · Nature · doi:10.1038/546044a · Cited by 1
Multiomics Integration of Tuberculosis Pathogenesis
Lee, J. J., Sell, P., & Eoh, H. (2023) · Integrated science · doi:10.1007/978-3-031-15955-8_45 · Cited by 1
Singla, M., Chaudhary, V., & Ghosh, A. (2022) · Springer eBooks · doi:10.1007/978-981-16-3120-7_2 · Cited by 1
Dhar, R., Missarova, A. M., Lehner, B., & Carey, L. B. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/346361 · Cited by 1
Gupta, K. R., Gwin, C. M., Rahlwes, K. C., Biegas, K. J., Wang, C., Park, J. H., Liu, J., Swarts, B. M., Morita, Y. S., & Rego, E. H. (2019) · doi:10.1101/633768 · Cited by 1
Self-citationFishbein, S. R. S., Wolf, I. D., Dulberger, C. L., Wang, A., Keshishian, H., Wallace, L., Carr, S. A., Ioerger, T. R., Rego, E. H., & Rubin, E. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/872341 · Cited by 1
Self-citationCell cycle-associated expression patterns predict gene function in mycobacteriaPreprint
Bandekar, A. C., Subedi, S., Ioerger, T. R., & Sassetti, C. M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.10.942268 · Cited by 1
Vijay, S., Bao, N. L. H., Vinh, D. N., Nhat, L. T. H., Thu, D. D. A., Quang, N. L., Trieu, L. P. T., Nhung, H. N., Ha, V. T. N., Thai, P. V. K., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.22.568240 · Cited by 1
Gwin, C. M., Gupta, K. R., Lu, Y., Shao, L., & Rego, E. H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.01.569614 · Cited by 1
Self-citationVijay, S., Bao, N. L. H., Vinh, D. N., Nhat, L. T. H., Thu, D. D. A., Quang, N. L., Trieu, L. P. T., Nhung, H. N., Ha, V. T. N., Thai, P. V. K., et al. (2024) · eLife · doi:10.7554/elife.93243.2 · Cited by 1
Keating, T. (2018) · University of Birmingham Institutional Research Archive (University of Birmingham)
Characterising mycobacterial persisters.
Hernández, J. (2019) · Surrey Research Insight Open Access (The University of Surrey) · doi:10.15126/thesis.00850531
Herricks, T., Donczew, M., Sherman, D. R., & Aitchison, J. D. (2021) · BIO-PROTOCOL · doi:10.21769/bioprotoc.4027
Panda, S. K., Pradhan, A. K., Mishra, S., & Pradhan, N. (2021) · Case Studies in Chemical and Environmental Engineering · doi:10.1016/j.cscee.2021.100132
Stevanovic, M., Boukéké-Lesplulier, T., Hupe, L., Hasty, J., Bittihn, P., & Schultz, D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.02.478895
PlrA (MSMEG_5223) is an essential polar growth regulator in Mycobacterium smegmatisPreprint
Quintanilla, S. Y., Arejan, N. H., Patel, P. B., & Boutte, C. C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.08.507195
Vijay, S., Bao, N. L. H., Vinh, D. N., Nhat, L. T. H., Thu, D. D. A., Quang, N. L., Trieu, L. P. T., Nhung, H. N., Ha, V. T. N., Thai, P. V. K., et al. (2024) · eLife · doi:10.7554/elife.93243.1
Vijay, S., Bao, N. L. H., Vinh, D. N., Nhat, L. T. H., Thu, D. D. A., Quang, N. L., Trieu, L. P. T., Nhung, H. N., Ha, V. T. N., Thai, P. V. K., et al. (2024) · eLife · doi:10.7554/elife.93243.2.sa0
Tieu, E., Griebel, B. T., Carroll, B., Eydinova, A., & Ma, S. (2024) · Springer eBooks · doi:10.1007/978-3-031-65986-7_3
Soubrier, C., Madzvamuse, A., Eskandarian, H. A., & Duc, K. D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.17.633629
Bioenergetic reprogramming of macrophages reduces drug tolerance in Mycobacterium tuberculosisPreprint
Yadav, V., Sahoo, S., Malhotra, N., Mishra, R., Rajmani, R. S., Shanmugam, S. K., Shandil, R. K., Narayanan, S., Thacker, V. V., Jolly, M. K., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.24.634842
Chung, E. S., Johnson, W. C., Kamkaew, M., McNellis, M. E., Smith, T. C., Vijay, S., Thương, N. T. T., Tan, S., & Aldridge, B. B. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.14.664820
Liu, Q., Liu, Y. J., Liu, R., Culviner, P. H., Wang, X., Wolf, I. D., Chen, K., Chen, Y., Xiao, Y., Zhang, G., et al. (2025) · mSystems · doi:10.1128/msystems.00972-25
Self-citationHunt-Serracín, A. C., Tembiwa, K. E., Awagu, A., Ghaffari, S., Kang, K. N., & Boutte, C. C. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1543775
Li, L., Alam, M. S., Li, C., Hameed, H. M. A., Yusuf, B., Mulu, B. A., Tian, X., Malik, A., Fang, C., Ju, Y., et al. (2026) · Microorganisms · doi:10.3390/microorganisms14020409
Mistranslation suppresses mistranscription in eukaryotes
Zhang, X., Yu, G., Guo, Z., Liao, J., Li, W., Zhang, W., Zheng, B., Wu, Z., Peng, S., Tan, D., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-69969-x
Chung, E. S., Johnson, W. C., Kamkaew, M., Fitzgerald, T. A., McNellis, M. E., Smith, T. C., Vijay, S., Thương, N. T. T., Tan, S., & Aldridge, B. B. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003857
Jin, X., Tian, T., Zhao, Y., & Guo, X. (2026) · Environmental Microbiology · doi:10.1111/1462-2920.70362
Tembiwa, K. E., Truong, A. M., Nguyen, C. T., Gupta, K. R., Rego, E. H., & Boutte, C. C. (2026) · Journal of Bacteriology · doi:10.1128/jb.00269-26
Self-citationFan, J., Prasad, R., Zhang, R., Hu, W., Cross, T. A., Zhou, H., & Hu, Y. (2026) · Journal of the American Chemical Society · doi:10.1021/jacs.6c12502
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Corro, J. H., Holl, J., Patil, V., Sankar, P., Li, Y., Saleh, A. M., Wu, A., Cole, R. W., Rhee, K., Mishra, B. B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.21.746198
Mycobacterium tuberculosis gene expression dynamics in host environments with single-cell resolution
Aylan, B., Botella, L., Santucci, P., Fearns, A., Chen, D., Rodgers, A., Cortes, T., & Gutierrez, M. G. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101617
Hockenberry, A. M. (2024) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.13863027
Metadata
- Authors
- Rego, E. H., Audette, R. E., & Rubin, E. J.
- Affiliations
- Harvard University (US)
- Corresponding author
- Rego, E. Hesper
- Rubin, Eric J.
- Venue
- Nature
- Published
- 2017-05-31
- Volume
- 546
- Issue
- 7656
- Pages
- 153-157
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5567998
- OpenAlex
- W2617852583
- Cited by
- 186
- References
- 22
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 18 · 2023: 16 · 2022: 23 · 2021: 16 · 2020: 25 · 2019: 22 · 2018: 30 · 2017: 7
- FWCI
- 17.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Allergy and Infectious Diseases (U19AI107774, F32AI104287)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Keywords
- lamas, divisome, Mycobacterium tuberculosis, cell wall synthesis inhibition, cell division, phenotypic heterogeneity, antibiotic tolerance, rifampicin, tuberculosis drug targets, single-cell heterogeneity
- MeSH terms
- Anti-Bacterial Agents, Bacterial Proteins, Cell Division, Cell Wall, DNA Mutational Analysis, Flow Cytometry, Fluoresceins, Phenotype, Rifampin, Reproducibility of Results, Cell Polarity, Gene Deletion, Mycobacterium smegmatis, Microbial Viability, Single-Cell Analysis
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 ›
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