Evidence map›Paper›PMID 27098003›Full record

ArticleNature communications2016

Real-time quantification of protein expression at the single-cell level via dynamic protein synthesis translocation reporters.

Delphine Aymoz, Victoria Wosika, Eric Durandau, Serge Pelet

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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.

Delphine AymozDepartment of Fundamental Microbiology, University of Lausanne, Lausanne CH-1015, Switzerland.
Victoria WosikaDepartment of Fundamental Microbiology, University of Lausanne, Lausanne CH-1015, Switzerland.
Eric DurandauDepartment of Fundamental Microbiology, University of Lausanne, Lausanne CH-1015, Switzerland.
Serge PeletDepartment of Fundamental Microbiology, University of Lausanne, Lausanne CH-1015, Switzerland.ORCID http://orcid.org/0000-0002-0245-049X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein expression is a dynamic process, which can be rapidly induced by extracellular signals. It is widely appreciated that single cells can display large variations in the level of gene induction. However, the variability in the dynamics of this process in individual cells is difficult to quantify using standard fluorescent protein (FP) expression assays, due to the slow maturation of their fluorophore. Here we have developed expression reporters that accurately measure both the levels and dynamics of protein synthesis in live single cells with a temporal resolution under a minute. Our system relies on the quantification of the translocation of a constitutively expressed FP into the nucleus. As a proof of concept, we used these reporters to measure the transient protein synthesis arising from two promoters responding to the yeast hyper osmolarity glycerol mitogen-activated protein kinase pathway (pSTL1 and pGPD1). They display distinct expression dynamics giving rise to strikingly different instantaneous expression noise.

Indexed as

Gene Expression Regulation, FungalProtein BiosynthesisProtein Processing, Post-TranslationalGenes, ReporterGlycerolGlycerol-3-Phosphate Dehydrogenase (NAD+)Green Fluorescent ProteinsLuminescent ProteinsMembrane Transport ProteinsProtein TransportRed Fluorescent ProteinSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisTime FactorsGlycerolGlycerol-3-Phosphate Dehydrogenase (NAD+)GPD1 protein, S cerevisiaeGreen Fluorescent ProteinsLuminescent ProteinsMembrane Transport ProteinsRed Fluorescent ProteinSaccharomyces cerevisiae ProteinsSTL1 protein, S cerevisiae

Identifiers

PMID27098003
PMCPMC4844680

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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.