Evidence map›Paper›PMID 36379978›Full record

ArticleScientific reports2022

Microfluidic dose-response platform to track the dynamics of drug response in single mycobacterial cells.

Maxime Mistretta, Nicolas Gangneux, Giulia Manina

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Redefining Antimicrobial Resistance inInternational journal of molecular sciences · 2026
    Review
  3. Review
  4. Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Spatiotemporal perspectives on tuberculosis chemotherapy.Current opinion in microbiology · 2023
    Review
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maxime MistrettaMicrobial Individuality and Infection Laboratory, Institut Pasteur, Université de Paris, 75015, Paris, France.
Nicolas GangneuxMicrobial Individuality and Infection Laboratory, Institut Pasteur, Université de Paris, 75015, Paris, France.
Giulia ManinaMicrobial Individuality and Infection Laboratory, Institut Pasteur, Université de Paris, 75015, Paris, France. giulia.manina@pasteur.fr.

Funding

Agence Nationale de la Recherche ANR-17-CE11-0007-01Fondation pour la Recherche Médicale ING20160435202Innovative Medicines Initiative 853989Institut Pasteur 024016E
6 · The paper itself

Abstract

Preclinical analysis of drug efficacy is critical for drug development. However, conventional bulk-cell assays statically assess the mean population behavior, lacking resolution on drug-escaping cells. Inaccurate estimation of efficacy can lead to overestimation of compounds, whose efficacy will not be confirmed in the clinic, or lead to rejection of valuable candidates. Time-lapse microfluidic microscopy is a powerful approach to characterize drugs at high spatiotemporal resolution, but hard to apply on a large scale. Here we report the development of a microfluidic platform based on a pneumatic operating principle, which is scalable and compatible with long-term live-cell imaging and with simultaneous analysis of different drug concentrations. We tested the platform with mycobacterial cells, including the tubercular pathogen, providing the first proof of concept of a single-cell dose-response assay. This dynamic in-vitro model will prove useful to probe the fate of drug-stressed cells, providing improved predictions of drug efficacy in the clinic.

Indexed as

Microfluidic Analytical TechniquesMicrofluidics

Identifiers

PMID36379978
PMCPMC9666435

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.