Evidence map›Paper›PMID 34235654›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Single-Cell Analysis of Mycobacteria Using Microfluidics and Time-Lapse Microscopy.

Giulia Manina, Neeraj Dhar

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Menaquinone depletion resensitises bedaquiline-resistant tuberculosis.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. 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

2 authors.

Giulia ManinaMicrobial Individuality and Infection Group, Cell Biology and Infection Department, Microbiology Department, Institut Pasteur, Paris, France. giulia.manina@pasteur.fr.
Neeraj DharSchool of Life Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on cell-to-cell phenotypic variation in microbial populations, with individuals sharing the same genetic background, provide insights not only on bacterial behavior but also on the adaptive spectrum of the population. Phenotypic variation is an innate property of microbial populations, and this can be further amplified under stressful conditions, providing a fitness advantage. Furthermore, phenotypic variation may also precede a latter step of genetic-based diversification, resulting in the transmission of the most beneficial phenotype to the progeny. While population-wide studies provide a measure of the collective average behavior, single-cell studies, which have expanded over the last decade, delve into the behavior of smaller subpopulations that would otherwise remain concealed. In this chapter, we describe approaches to carry out spatiotemporal analysis of individual mycobacterial cells using time-lapse microscopy. Our method encompasses the fabrication of a microfluidic device; the assembly of a microfluidic system suitable for long-term imaging of mycobacteria; and the quantitative analysis of single-cell behavior under varying growth conditions. Phenotypic variation is conceivably associated to the resilience and endurance of mycobacterial cells. Therefore, shedding light on the dynamics of this phenomenon, on the transience or stability of the given phenotype, on its molecular bases and its functional consequences, offers new scope for intervention.

Indexed as

PhenotypeHumansMicrofluidicsMycobacteriumSingle-Cell AnalysisSpatio-Temporal AnalysisTime-Lapse ImagingFluorescent reportersGene expressionGrowth rateImage analysisMicrofluidicsMycobacteriaProtein localizationSingle-cell biologySpatiotemporal dynamicsTime-lapse microscopy

Identifiers

PMID34235654

What OpenQuestion holds

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Registered trials

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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.