Evidence map›Paper›PMID 27604219›Full record

ArticleBMC genomics2016

RNAseq analysis of heart tissue from mice treated with atenolol and isoproterenol reveals a reciprocal transcriptional response.

Andrea Prunotto, Brian J Stevenson, Corinne Berthonneche, Fanny Schüpfer, Jacques S Beckmann, Fabienne Maurer, Sven Bergmann

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 17 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

7 authors at 2 institutions in 2 countries.

Andrea PrunottoDepartment of Medical Genetics, University of Lausanne, Rue du Bugnon 27, 1011, Lausanne, Switzerland.
Brian J StevensonSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Corinne BerthonnecheService of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 27, 1011, Lausanne, Switzerland.
Fanny SchüpferService of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 27, 1011, Lausanne, Switzerland.
Jacques S BeckmannDepartment of Medical Genetics, University of Lausanne, Rue du Bugnon 27, 1011, Lausanne, Switzerland.
Fabienne MaurerService of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 27, 1011, Lausanne, Switzerland. Fabienne.Maurer@chuv.ch.
Sven BergmannDepartment of Medical Genetics, University of Lausanne, Rue du Bugnon 27, 1011, Lausanne, Switzerland. Sven.Bergmann@unil.ch.ORCID 0000-0002-6785-9034
SIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transcriptional response to many widely used drugs and its modulation by genetic variability is poorly understood. Here we present an analysis of RNAseq profiles from heart tissue of 18 inbred mouse strains treated with the β-blocker atenolol (ATE) and the β-agonist isoproterenol (ISO).

resultsDifferential expression analyses revealed a large set of genes responding to ISO (n = 1770 at FDR = 0.0001) and a comparatively small one responding to ATE (n = 23 at FDR = 0.0001). At a less stringent definition of differential expression, the transcriptional responses to these two antagonistic drugs are reciprocal for many genes, with an overall anti-correlation of r = -0.3. This trend is also observed at the level of most individual strains even though the power to detect differential expression is significantly reduced. The inversely expressed gene sets are enriched with genes annotated for heart-related functions. Modular analysis revealed gene sets that exhibit coherent transcription profiles across some strains and/or treatments. Correlations between these modules and a broad spectrum of cardiovascular traits are stronger than expected by chance. This provides evidence for the overall importance of transcriptional regulation for these organismal responses and explicits links between co-expressed genes and the traits they are associated with. Gene set enrichment analysis of differentially expressed groups of genes pointed to pathways related to heart development and functionality.

conclusionsOur study provides new insights into the transcriptional response of the heart to perturbations of the β-adrenergic system, implicating several new genes that had not been associated to this system previously.

Indexed as

AnimalsAtenololComputational BiologyGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHeartIsoproterenolMiceMice, Inbred StrainsSequence Analysis, RNASoftwareAtenololIsoproterenolAtenololCardiac hypertrophyIsoproterenolMouse heartRNAseqβ-adrenergic system

Identifiers

PMID27604219
PMCPMC5015234
OpenAlexW2512261687

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.