Evidence map›Paper›PMID 37065195›Full record

ReviewFrontiers in cellular and infection microbiology2023

Analysis of

Rocío Fernández-Fernández, Rocío López-Igual, Josep Casadesús, María Antonia Sánchez-Romero

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Rocío Fernández-FernándezDepartamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Rocío López-IgualInstituto de Bioquímica Vegetal y Fotosíntesis, Universidad de Sevilla and C.S.I.C., Seville, Spain.
Josep CasadesúsDepartamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
María Antonia Sánchez-RomeroDepartamento de Microbiología y Parasitología, Facultad de Farmacia, Universidad de Sevilla, Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial cell individuality is receiving increasing interest in the scientific community. Individual cells within clonal populations exhibit noticeable phenotypic heterogeneity. The advent of fluorescent protein technology and advances in single-cell analysis has revealed phenotypic cell variant in bacterial populations. This heterogeneity is evident in a wide range of phenotypes, for example, individual cells display variable degrees of gene expression and survival under selective conditions and stresses, and can exhibit differing propensities to host interactions. Last few years, numerous cell sorting approaches have been employed for resolving the properties of bacterial subpopulations. This review provides an overview of applications of cell sorting to analyze

Indexed as

BacteriaSalmonellaGene Expression ProfilingPhenotypebacterial lineagescell sortingflow cytometryphenotypic heterogeneitySalmonella

Identifiers

PMID37065195
PMCPMC10090396

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.