Evidence map›Paper›PMID 31507548›Full record

ReviewFrontiers in microbiology2019

Discovery and Therapeutic Targeting of Differentiated Biofilm Subpopulations.

Karishma Bisht, Catherine Ann Wakeman

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

16 citing papers in PubMed, 44 citations in OpenAlex.

  1. Temperature-dependent reprogramming of virulence traits duringbioRxiv : the preprint server for biology · 2026
    Article
  2. Biofilm Formation and the Pore ProteinsAntibiotics (Basel, Switzerland) · 2026
    Article
  3. Long-term control ofFrontiers in oral health · 2026
    Article
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  11. Biology · 2021
    Article
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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 at 1 institution in 1 country.

Karishma BishtDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Catherine Ann WakemanDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Texas Tech University · US

Funding

Physiological profiling of Pseudomonas aeruginosa biofilm subpopulationsR15GM128072 · NIGMS · TEXAS TECH UNIVERSITY · PI WAKEMAN, CATHERINE ANN · 2018 to 2018
$432k
NIGMS NIH HHS R15 GM128072
6 · The paper itself

Abstract

The association of microorganisms into biofilms produces functionally organized microbial structures that promote community survival in a wide range of environments. Much like when individual cells within a multicellular organism express different genes from the same DNA blueprint, individual microbial cells located within different regions of a biofilm structure can exhibit distinct genetic programs. These spatially defined regions of physiologically differentiated cells are reminiscent of the role of tissues in multicellular organisms, with specific subpopulations in the microbial community serving defined roles to promote the overall health of the biofilm. The functions of these subpopulations are quite diverse and can range from dormant cells that can withstand antibiotic onslaughts to cells actively producing extracellular polymeric substances providing integrity to the entire community. The purpose of this review is to discuss the diverse roles of subpopulations in the stability and function of clonal biofilms, the methods for studying these subpopulations, and the ways these subpopulations can potentially be exploited for therapeutic intervention.

Indexed as

antibiotic resistancebiofilmheterogeneityinfectious diseasesubpopulationstechnologytherapeutic targeting

Identifiers

PMID31507548
PMCPMC6718512
OpenAlexW2966856090

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.