Evidence map›Paper›PMID 38755132›Full record

ArticleNature communications2024

Dynamic microfluidic single-cell screening identifies pheno-tuning compounds to potentiate tuberculosis therapy.

Maxime Mistretta, Mena Cimino, Pascal Campagne, Stevenn Volant, Etienne Kornobis, Olivier Hebert, Christophe Rochais, Patrick Dallemagne, Cédric Lecoutey, Camille Tisnerat and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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
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

22 authors.

Maxime MistrettaInstitut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France.
Mena CiminoInstitut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France.ORCID http://orcid.org/0000-0002-8201-729X
Pascal CampagneInstitut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015, Paris, France.
Stevenn VolantInstitut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015, Paris, France.
Etienne KornobisInstitut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015, Paris, France.ORCID http://orcid.org/0000-0001-7712-8270
Olivier HebertNormandie Univ., UNICAEN, CERMN, 14000, Caen, France.
Christophe RochaisNormandie Univ., UNICAEN, CERMN, 14000, Caen, France.ORCID http://orcid.org/0000-0001-7996-2082
Patrick DallemagneNormandie Univ., UNICAEN, CERMN, 14000, Caen, France.ORCID http://orcid.org/0000-0002-4845-615X
Cédric LecouteyNormandie Univ., UNICAEN, CERMN, 14000, Caen, France.
Camille TisneratNormandie Univ., UNICAEN, CERMN, 14000, Caen, France.
Alban LepailleurNormandie Univ., UNICAEN, CERMN, 14000, Caen, France.
Yann AyotteInstitut National de la Recherche Scientifique-Armand-Frappier Santé Biotechnologie Research Centre, Laval, Quebec, H7V 1B7, Canada.
Steven R LaPlanteInstitut National de la Recherche Scientifique-Armand-Frappier Santé Biotechnologie Research Centre, Laval, Quebec, H7V 1B7, Canada.ORCID http://orcid.org/0000-0003-2835-5789
Nicolas GangneuxInstitut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France.ORCID http://orcid.org/0000-0002-4131-9371
Monika ZáhorszkáDepartment of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, 842 15, Bratislava, Slovakia.
Jana KordulákováDepartment of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, 842 15, Bratislava, Slovakia.ORCID http://orcid.org/0000-0003-2834-0165
Sophie Vichier-GuerreInstitut Pasteur, Université Paris Cité, CNRS UMR3523, Epigenetic Chemical Biology Unit, 75015, Paris, France.
Frédéric BonhommeInstitut Pasteur, Université Paris Cité, CNRS UMR3523, Epigenetic Chemical Biology Unit, 75015, Paris, France.ORCID http://orcid.org/0000-0001-6797-289X
Laura PokornyInstitut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France.
Marvin AlbertInstitut Pasteur, Université Paris Cité, Image Analysis Hub, 75015, Paris, France.
Jean-Yves TinevezInstitut Pasteur, Université Paris Cité, Image Analysis Hub, 75015, Paris, France.
Giulia ManinaInstitut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France. giulia.manina@pasteur.fr.ORCID http://orcid.org/0000-0001-9905-6095

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-10-LABX-62-IBEIDAgence Nationale de la Recherche (French National Research Agency) ANR-20-PAMR-0005Agence Nationale de la Recherche (French National Research Agency) ANR-21-CE15-0045Agentúra na Podporu Výskumu a Vývoja (Slovak Research and Development Agency) APVV-19-0189
6 · The paper itself

Abstract

Drug-recalcitrant infections are a leading global-health concern. Bacterial cells benefit from phenotypic variation, which can suggest effective antimicrobial strategies. However, probing phenotypic variation entails spatiotemporal analysis of individual cells that is technically challenging, and hard to integrate into drug discovery. In this work, we develop a multi-condition microfluidic platform suitable for imaging two-dimensional growth of bacterial cells during transitions between separate environmental conditions. With this platform, we implement a dynamic single-cell screening for pheno-tuning compounds, which induce a phenotypic change and decrease cell-to-cell variation, aiming to undermine the entire bacterial population and make it more vulnerable to other drugs. We apply this strategy to mycobacteria, as tuberculosis poses a major public-health threat. Our lead compound impairs Mycobacterium tuberculosis via a peculiar mode of action and enhances other anti-tubercular drugs. This work proves that harnessing phenotypic variation represents a successful approach to tackle pathogens that are increasingly difficult to treat.

Indexed as

Antitubercular AgentsMycobacterium tuberculosisSingle-Cell AnalysisTuberculosisDrug DiscoveryDrug SynergismHumansMicrobial Sensitivity TestsMicrofluidicsPhenotypeAntitubercular Agents

Identifiers

PMID38755132
PMCPMC11099131

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.