Evidence map›Paper›PMID 30700510›Full record

ArticlemSphere2019

Gene Expression Changes with Minor Effects on the Population Average Have Major Effects on the Occurrence of Cells with Extreme Protein Concentrations.

Mikkel Skjoldan Svenningsen, Szabolcs Semsey, Namiko Mitarai

Abstract read
In one paragraph

Article in mSphere, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Existence of log-phaseLife science alliance · 2022
    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

3 authors.

Mikkel Skjoldan SvenningsenThe Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.
Szabolcs SemseyDepartment of Biology, University of Copenhagen, Copenhagen, Denmark.
Namiko MitaraiThe Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark mitarai@nbi.dk.ORCID 0000-0003-0116-7606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell-to-cell heterogeneity in a bacterial population provides a rich response to environmental changes and robust survival of an isogenic population. Especially, the rare, extreme phenotypes can be important for survival under transient lethal conditions. We analyze the probability of having an extremely high or low protein level in a stochastic model of gene expression. The fraction of rare state cells defined as the cells in the tails of distributions is found to be highly sensitive to small changes of the mean protein level. The result highlights the importance of relatively weak changes to the mean for the occurrence of rare phenotypes.

Indexed as

Biological Variation, PopulationEnvironmental ExposureGene ExpressionMicrobial ViabilityBacteriaBacterial ProteinsGenetics, PopulationModels, StatisticalBacterial Proteinsdistributionnoiserare events

Identifiers

PMID30700510
PMCPMC6354807

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.