Evidence map›Paper›PMID 39548343›Full record

ArticleNature microbiology2024

Single-cell imaging of the Mycobacterium tuberculosis cell cycle reveals linear and heterogenous growth.

Eun Seon Chung, Prathitha Kar, Maliwan Kamkaew, Ariel Amir, Bree B Aldridge

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. MakingCell insight · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

  • Update of
    2023
5 · Who and what money

Authors and funding

5 authors.

Eun Seon Chung *Department of Molecular Biology and Microbiology, Tufts University School of Medicine and Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4947-4541
Prathitha Kar *John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Maliwan KamkaewDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine and Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, MA, USA.
Ariel AmirDepartment of Complex Systems, Weizmann Institute of Science, Rehovot, Israel. ariel.amir@weizmann.ac.il.ORCID http://orcid.org/0000-0003-2611-0139
Bree B AldridgeDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine and Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, MA, USA. bree.aldridge@tufts.edu.ORCID http://orcid.org/0000-0003-2236-1424

Funding

Single-cell factors of tuberculosis drug tolerance during adaptation to environmental stressorsR01AI143611 · NIAID · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY · 2020 to 2023
$2.8M
National Science Foundation (NSF) 1752024NIAID NIH HHS R01 AI143611U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01 AI143611-01
6 · The paper itself

Abstract

Difficulties in antibiotic treatment of Mycobacterium tuberculosis (Mtb) are partly thought to be due to heterogeneity in growth. Although the ability of bacterial pathogens to regulate growth is crucial to control homeostasis, virulence and drug responses, single-cell growth and cell cycle behaviours of Mtb are poorly characterized. Here we use time-lapse, single-cell imaging of Mtb coupled with mathematical modelling to observe asymmetric growth and heterogeneity in cell size, interdivision time and elongation speed. We find that, contrary to Mycobacterium smegmatis, Mtb initiates cell growth not only from the old pole but also from new poles or both poles. Whereas most organisms grow exponentially at the single-cell level, Mtb has a linear growth mode. Our data show that the growth behaviour of Mtb diverges from that of model bacteria, provide details into how Mtb grows and creates heterogeneity and suggest that growth regulation may also diverge from that in other bacteria.

Indexed as

Cell CycleMycobacterium tuberculosisSingle-Cell AnalysisTime-Lapse ImagingCell DivisionModels, TheoreticalMycobacterium smegmatis

Identifiers

PMID39548343
PMCPMC11602732

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.