Evidence map›Paper›PMID 28740089›Full record

ArticleScientific reports2017

Effects of growth rate and promoter activity on single-cell protein expression.

Niclas Nordholt, Johan van Heerden, Remco Kort, Frank J Bruggeman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 44 citations in OpenAlex.

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  15. Searching for principles of microbial physiology.FEMS microbiology reviews · 2020
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  17. Reverse Engineering Targets for Recombinant Protein Production inFrontiers in bioengineering and biotechnology · 2020
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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

4 authors at 1 institution in 1 country.

Niclas NordholtSystems Bioinformatics, Amsterdam Institute for Molecules, Medicines and Systems (AIMMS), VU Amsterdam, De Boelelaan 1087, NL1081, HV, Amsterdam, The Netherlands.
Johan van HeerdenSystems Bioinformatics, Amsterdam Institute for Molecules, Medicines and Systems (AIMMS), VU Amsterdam, De Boelelaan 1087, NL1081, HV, Amsterdam, The Netherlands.
Remco KortMolecular Cell Physiology, AIMMS, VU Amsterdam, De Boelelaan 1087, NL1081, HV, Amsterdam, The Netherlands.
Frank J BruggemanSystems Bioinformatics, Amsterdam Institute for Molecules, Medicines and Systems (AIMMS), VU Amsterdam, De Boelelaan 1087, NL1081, HV, Amsterdam, The Netherlands. f.j.bruggeman@vu.nl.
Vrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein expression in a single cell depends on its global physiological state. Moreover, genetically-identical cells exhibit variability (noise) in protein expression, arising from the stochastic nature of biochemical processes, cell growth and division. While it is well understood how cellular growth rate influences mean protein expression, little is known about the relationship between growth rate and noise in protein expression. Here we quantify this relationship in Bacillus subtilis by a novel combination of experiments and theory. We measure the effects of promoter activity and growth rate on the expression of a fluorescent protein in single cells. We disentangle the observed protein expression noise into protein-specific and systemic contributions, using theory and variance decomposition. We find that noise in protein expression depends solely on mean expression levels, regardless of whether expression is set by promoter activity or growth rate, and that noise increases linearly with growth rate. Our results can aid studies of (synthetic) gene circuits of single cells and their condition dependence.

Indexed as

Gene Expression Regulation, BacterialPromoter Regions, GeneticBacillus subtilisBacterial ProteinsCell ProliferationDietary ProteinsSingle-Cell AnalysisBacterial ProteinsDietary Proteinssingle cell proteins

Identifiers

PMID28740089
PMCPMC5524720
OpenAlexW2736791128

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.