Evidence map›Paper›PMID 34835403›Full record

ReviewMicroorganisms2021

Single-Cell Technologies to Study Phenotypic Heterogeneity and Bacterial Persisters.

Patricia J Hare, Travis J LaGree, Brandon A Byrd, Angela M DeMarco, Wendy W K Mok

Abstract readReview
In one paragraph

Review in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Association ofPathogens (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. A Ratiometric pH Sensor for Gram-Positive and Gram-Negative Bacteria.Journal of the American Chemical Society · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. PathogenicJournal of bacteriology · 2024
    Review
  15. Article
  16. Cpx-signalling innpj antimicrobials and resistance · 2024
    Article
  17. Article
  18. Review
  19. Recent Advances in Bacterial Persistence Mechanisms.International journal of molecular sciences · 2023
    Review
  20. 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

5 authors.

Patricia J HareDepartment of Molecular Biology & Biophysics, UConn Health, Farmington, CT 06032, USA.ORCID 0000-0001-5014-6161
Travis J LaGreeDepartment of Molecular Biology & Biophysics, UConn Health, Farmington, CT 06032, USA.ORCID 0000-0002-1654-5836
Brandon A ByrdDepartment of Molecular Biology & Biophysics, UConn Health, Farmington, CT 06032, USA.ORCID 0000-0001-8341-5444
Angela M DeMarcoDepartment of Molecular Biology & Biophysics, UConn Health, Farmington, CT 06032, USA.ORCID 0000-0001-9600-9314
Wendy W K MokDepartment of Molecular Biology & Biophysics, UConn Health, Farmington, CT 06032, USA.ORCID 0000-0002-6638-2959

Funding

Skeletal, Craniofacial and Oral Biology Training GrantT90DE021989 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MINA, MINA · 2011 to 2022
$4.5M
Skeletal, Craniofacial and Oral Biology Training GrantT90DE033006 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI FRANK C NICHOLS · 2023 to 2026
$2.0M
Mapping polymicrobial interactions that modulate antibiotic persistenceDP2GM146456 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MOK, WENDY W.K. · 2021 to 2021
$1.5M
NIDCR NIH HHS T90 DE021989NIDCR NIH HHS T90 DE033006NIGMS NIH HHS DP2 GM146456NIH HHS DP2GM146456-01NIH HHS T90DE021989-11
6 · The paper itself

Abstract

Antibiotic persistence is a phenomenon in which rare cells of a clonal bacterial population can survive antibiotic doses that kill their kin, even though the entire population is genetically susceptible. With antibiotic treatment failure on the rise, there is growing interest in understanding the molecular mechanisms underlying bacterial phenotypic heterogeneity and antibiotic persistence. However, elucidating these rare cell states can be technically challenging. The advent of single-cell techniques has enabled us to observe and quantitatively investigate individual cells in complex, phenotypically heterogeneous populations. In this review, we will discuss current technologies for studying persister phenotypes, including fluorescent tags and biosensors used to elucidate cellular processes; advances in flow cytometry, mass spectrometry, Raman spectroscopy, and microfluidics that contribute high-throughput and high-content information; and next-generation sequencing for powerful insights into genetic and transcriptomic programs. We will further discuss existing knowledge gaps, cutting-edge technologies that can address them, and how advances in single-cell microbiology can potentially improve infectious disease treatment outcomes.

Indexed as

antibiotic persistencephenotypic heterogeneitysingle-cell analysis

Identifiers

PMID34835403
PMCPMC8620850

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.