Evidence map›Paper›PMID 24613264›Full record

ArticleJournal of molecular and cellular cardiology2014

Phenotypic screen quantifying differential regulation of cardiac myocyte hypertrophy identifies CITED4 regulation of myocyte elongation.

Karen A Ryall, Vassilios J Bezzerides, Anthony Rosenzweig, Jeffrey J Saucerman

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 48 citations in OpenAlex.

  1. Exercise-induced cardiac hypertrophy: cellular and molecular mechanisms of cardiac adaptation following physical activity.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2026
    Review
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  10. Molecular mechanisms of exercise contributing to tissue regeneration.Signal transduction and targeted therapy · 2022
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  20. Quantitative systems models illuminate arrhythmia mechanisms in heart failure: Role of the NaWiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
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 3 institutions in 1 country.

Karen A RyallDepartment of Biomedical Engineering, University of Virginia, VA, USA.
Vassilios J BezzeridesDepartment of Cardiology, Children's Hospital Boston, Harvard Medical School, Boston, MA, USA.
Anthony RosenzweigCardiovascular Division of the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jeffrey J SaucermanDepartment of Biomedical Engineering, University of Virginia, VA, USA. Electronic address: jsaucerman@virginia.edu.
University of Virginia · USBeth Israel Deaconess Medical Center · USBoston Children's Hospital · US

Funding

RESEARCH METHODS IN PEDIATRICS HEART DISEASET32HL007572 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI Sarah D DE FERRANTI, Jane W. Newburger · 1985 to 2026
$13.0M
Multi-scale Systems Model of Murine Heart FailureR01HL105242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BERS, DONALD M, MCCULLOCH, ANDREW D. · 2012 to 2016
$3.5M
Quantitative analysis of cAMP compartmentation in heartR01HL094476 · NHLBI · UNIVERSITY OF VIRGINIA · PI SAUCERMAN, JEFFREY J. · 2009 to 2013
$1.8M
NHLBI NIH HHS HL05242NHLBI NIH HHS HL094476NHLBI NIH HHS R01 HL094476NHLBI NIH HHS R01 HL105242NHLBI NIH HHS T32 HL007572
6 · The paper itself

Abstract

Cardiac hypertrophy is controlled by a highly connected signaling network with many effectors of cardiac myocyte size. Quantification of the contribution of individual pathways to specific changes in shape and transcript abundance is needed to better understand hypertrophy signaling and to improve heart failure therapies. We stimulated cardiac myocytes with 15 hypertrophic agonists and quantitatively characterized differential regulation of 5 shape features using high-throughput microscopy and transcript levels of 12 genes using qPCR. Transcripts measured were associated with phenotypes including fibrosis, cell death, contractility, proliferation, angiogenesis, inflammation, and the fetal cardiac gene program. While hypertrophy pathways are highly connected, the agonist screen revealed distinct hypertrophy phenotypic signatures for the 15 receptor agonists. We then used k-means clustering of inputs and outputs to identify a network map linking input modules to output modules. Five modules were identified within inputs and outputs with many maladaptive outputs grouping together in one module: Bax, C/EBPβ, Serca2a, TNFα, and CTGF. Subsequently, we identified mechanisms underlying two correlations revealed in the agonist screen: correlation between regulators of fibrosis and cell death signaling (CTGF and Bax mRNA) caused by AngII; and myocyte proliferation (CITED4 mRNA) and elongation caused by Nrg1. Follow-up experiments revealed positive regulation of Bax mRNA level by CTGF and an incoherent feedforward loop linking Nrg1, CITED4 and elongation. With this agonist screen, we identified the most influential inputs in the cardiac hypertrophy signaling network for a variety of features related to pathological and protective hypertrophy signaling and shared regulation among cardiac myocyte phenotypes.

Indexed as

Gene Expression RegulationAngiotensin IIAnimalsAnimals, Newbornbcl-2-Associated X ProteinCardiomegalyCCAAT-Enhancer-Binding Protein-betaCell ShapeConnective Tissue Growth FactorGene Expression ProfilingMyocytes, CardiacNeuregulin-1RatsRats, Sprague-DawleyRNA, MessengerSarcoplasmic Reticulum Calcium-Transporting ATPasesAngiotensin IIBax protein, ratbcl-2-Associated X ProteinCCAAT-Enhancer-Binding Protein-betaCCN2 protein, ratCebpb protein, ratConnective Tissue Growth FactorNeuregulin-1Nrg1 protein, ratRNA, MessengerSarcoplasmic Reticulum Calcium-Transporting ATPasesTumor Necrosis Factor-alphaCardiac hypertrophyCardiac myocytesCITED4CTGFPhenotypic screenSignal transduction

Identifiers

PMID24613264
PMCPMC4078663
OpenAlexW1972321222

What OpenQuestion holds

Textmetadata
LicenceTDM
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.