Evidence map›Paper›PMID 27357669›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Temporal and intrinsic factors of rifampicin tolerance in mycobacteria.

Kirill Richardson, Owen T Bennion, Shumin Tan, Anh N Hoang, Murat Cokol, Bree B Aldridge

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

35 citing papers in PubMed, 54 citations in OpenAlex.

  1. MakingCell insight · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Types and functions of heterogeneity in mycobacteria.Nature reviews. Microbiology · 2022
    Review
  11. Localization of EccABMC microbiology · 2022
    Article
  12. Are all antibiotic persisters created equal?Frontiers in cellular and infection microbiology · 2022
    Review
  13. Phenotypic adaptation ofFrontiers in cellular and infection microbiology · 2022
    Review
  14. Clinically encountered growth phenotypes of tuberculosis-causing bacilli and theirFrontiers in cellular and infection microbiology · 2022
    Review
  15. Persistence ofFrontiers in cellular and infection microbiology · 2022
    Article
  16. Review
  17. Review
  18. Article
  19. Morphological profiling of tubercle bacilli identifies drug pathways of action.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Kirill RichardsonDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111; Department of Biomedical Engineering, Tufts University School of Engineering, Medford, MA 02155;
Owen T BennionDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111;
Shumin TanDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111;
Anh N HoangThe Center for Engineering in Medicine, Massachusetts General Hospital, Boston, MA 02114;
Murat CokolDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111; Molecular Biology, Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, Sabancı University, 34956 Istanbul, Turkey; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115.
Bree B AldridgeDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111; Department of Biomedical Engineering, Tufts University School of Engineering, Medford, MA 02155; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115 bree.aldridge@tufts.edu.
Tufts University · USHarvard University · USMassachusetts General Hospital · US

Funding

Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2014 to 2018
$10.8M
Quantitative Design of Multi-drug Regiments for TuberculosisDP2LM011952 · NLM · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY · 2013 to 2018
$2.9M
Bacterial Sensing and Response to Chloride as a Novel Tuberculosis Drug TargetR00AI114952 · NIAID · TUFTS UNIVERSITY BOSTON · PI TAN, SHUMIN · 2016 to 2017
$498k
Bacterial Sensing and Response to Chloride as a Novel Tuberculosis Drug TargetK99AI114952 · NIAID · CORNELL UNIVERSITY · PI TAN, SHUMIN · 2015 to 2015
$104k
NIAID NIH HHS K99 AI114952NIAID NIH HHS R00 AI114952NIBIB NIH HHS P41 EB002503NIGMS NIH HHS P50 GM107618NLM NIH HHS DP2 LM011952
6 · The paper itself

Abstract

Mycobacteria grow and divide asymmetrically, creating variability in growth pole age, growth properties, and antibiotic susceptibilities. Here, we investigate the importance of growth pole age and other growth properties in determining the spectrum of responses of Mycobacterium smegmatis to challenge with rifampicin. We used a combination of live-cell microscopy and modeling to prospectively identify subpopulations with altered rifampicin susceptibility. We found two subpopulations that had increased susceptibility. At the initiation of treatment, susceptible cells were either small and at early stages of the cell cycle, or large and in later stages of their cell cycle. In contrast to this temporal window of susceptibility, tolerance was associated with factors inherited at division: long birth length and mature growth poles. Thus, rifampicin response is complex and due to a combination of differences established from both asymmetric division and the timing of treatment relative to cell birth.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialMycobacterium smegmatisRifampinAnti-Bacterial AgentsRifampinantibiotic susceptibilitycell biologymathematical modelingmycobacteriasingle cell

Identifiers

PMID27357669
PMCPMC4961206
OpenAlexW2466599087

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.