Evidence map›Paper›PMID 30792499›Full record

ArticleScientific reports2019

Transcriptomic studies and assessment of Yersinia pestis reference genes in various conditions.

Lionel Koch, Thomas Poyot, Marine Schnetterle, Sophie Guillier, Estelle Soulé, Flora Nolent, Olivier Gorgé, Fabienne Neulat-Ripoll, Eric Valade, Florent Sebbane and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Lionel KochInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Thomas PoyotInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Marine SchnetterleInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Sophie GuillierInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Estelle SouléInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Flora NolentInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Olivier GorgéInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Fabienne Neulat-RipollInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Eric ValadeInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Florent SebbaneInserm, University of Lille, CNRS, CHU Lille, Institut Pasteur de Lille, U1019-UMR8204-CIIL-Center for Infection and Immunity of Lille, Lille, France.
Fabrice BiotInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France. fbiot.irba@gmail.com.ORCID 0000-0002-3632-2146
Inserm · FRCentre National de la Recherche Scientifique · FRInstitut des Sciences du Vivant Frédéric Joliot · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is a very sensitive widespread technique considered as the gold standard to explore transcriptional variations. While a particular methodology has to be followed to provide accurate results many published studies are likely to misinterpret results due to lack of minimal quality requirements. Yersinia pestis is a highly pathogenic bacterium responsible for plague. It has been used to propose a ready-to-use and complete approach to mitigate the risk of technical biases in transcriptomic studies. The selection of suitable reference genes (RGs) among 29 candidates was performed using four different methods (GeNorm, NormFinder, BestKeeper and the Delta-Ct method). An overall comprehensive ranking revealed that 12 following candidate RGs are suitable for accurate normalization: gmk, proC, fabD, rpoD, nadB, rho, thrA, ribD, mutL, rpoB, adk and tmk. Some frequently used genes like 16S RNA had even been found as unsuitable to study Y. pestis. This methodology allowed us to demonstrate, under different temperatures and states of growth, significant transcriptional changes of six efflux pumps genes involved in physiological aspects as antimicrobial resistance or virulence. Previous transcriptomic studies done under comparable conditions had not been able to highlight these transcriptional modifications. These results highlight the importance of validating RGs prior to the normalization of transcriptional expression levels of targeted genes. This accurate methodology can be extended to any gene of interest in Y. pestis. More generally, the same workflow can be applied to identify and validate appropriate RGs in other bacteria to study transcriptional variations.

Indexed as

Bacterial ProteinsComputational BiologyGene Expression ProfilingGene Expression Regulation, BacterialReference StandardsTemperatureWorkflowYersinia pestisBacterial Proteins

Identifiers

PMID30792499
PMCPMC6385181
OpenAlexW2916159227

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.