Evidence map›Paper›PMID 32919307›Full record

ReviewCurrent opinion in microbiology2020

Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control.

Nadia Maria Vieira Sampaio, Mary J Dunlop

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Review
  12. Review
  13. Microbiology spectrum · 2023
    Article
  14. Review
  15. Article
  16. Dynamic gene expression and growth underlie cell-to-cell heterogeneity inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Review
  19. Article
  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

2 authors.

Nadia Maria Vieira SampaioDepartment of Biomedical Engineering, Boston University, Boston, MA, USA; Biological Design Center, Boston University, Boston, MA, USA.
Mary J DunlopDepartment of Biomedical Engineering, Boston University, Boston, MA, USA; Biological Design Center, Boston University, Boston, MA, USA. Electronic address: mjdunlop@bu.edu.

Funding

Feedback and Noise in a Multiple Antibiotic Resistance CircuitR01AI102922 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Mary J. Dunlop · 2014 to 2026
$4.7M
Efflux pumps and the emergence of antibiotic resistance in single cellsR21AI137843 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DUNLOP, MARY · 2018 to 2019
$453k
NIAID NIH HHS R01 AI102922NIAID NIH HHS R21 AI137843
6 · The paper itself

Abstract

Clonal cell populations often display significant cell-to-cell phenotypic heterogeneity, even when maintained under constant external conditions. This variability can result from the inherently stochastic nature of transcription and translation processes, which leads to varying numbers of transcripts and proteins per cell. Here, we showcase studies that reveal links between stochastic cellular events and biological functions in isogenic microbial populations. Then, we highlight emerging tools from engineering, computation, and synthetic and molecular biology that enable precise measurement, control, and analysis of gene expression noise in microorganisms. The capabilities offered by this sophisticated toolbox will shape future directions in the field and generate insight into the behavior of living systems at the single-cell level.

Indexed as

BacteriaBacterial ProteinsMicrobial InteractionsPhenotypeTranscription, GeneticBacterial Proteins

Identifiers

PMID32919307
PMCPMC7722170

What OpenQuestion holds

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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 OpenQuestion graph.