ArticleJournal of molecular and cellular cardiology2012
Automated image analysis identifies signaling pathways regulating distinct signatures of cardiac myocyte hypertrophy.
Article in Journal of molecular and cellular cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 44 citations in OpenAlex.
- Cardiac α2δ1 C-terminal contributes to left atrial hypertrophy in chronic ischemic heart failure, in association with changes in membrane GluN1 and p-CAMKII/p-HDAC4 signaling.Cell and tissue research · 2026Article
- Endothelial Nuclear and Cytoskeletal Responses to Mechanical Stresses.Advances in experimental medicine and biology · 2026Article
- Single-cell dynamics reveal a stress-induced decision between hypertrophy and apoptosis in neonatal rat cardiomyocytes.Journal of molecular and cellular cardiology plus · 2025Article
- Systems analysis reveals neuregulin-1 control of cardiomyocyte size and shape mediated by distinct PI3K and p38 pathways.bioRxiv : the preprint server for biology · 2025Article
- Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dynamic map illuminates Hippo-cMyc module crosstalk driving cardiomyocyte proliferation.Development (Cambridge, England) · 2025Article
- Article
- Virtual drug screen reveals context-dependent inhibition of cardiomyocyte hypertrophy.British journal of pharmacology · 2023Article
- Signaling network model of cardiomyocyte morphological changes in familial cardiomyopathy.Journal of molecular and cellular cardiology · 2023Article
- Stimulation of Cardiomyocyte Proliferation Is Dependent on Species and Level of Maturation.Frontiers in cell and developmental biology · 2022Article
- Integrated Quantitative Phosphoproteomics and Cell-based Functional Screening Reveals Specific Pathological Cardiac Hypertrophy-related Phosphorylation Sites.Molecules and cells · 2021Article
- Gene expression profiling of hypertrophic cardiomyocytes identifies new players in pathological remodelling.Cardiovascular research · 2021Article
- Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy.PLoS computational biology · 2020Article
- Automatic Quantification of Cardiomyocyte Dimensions and Connexin 43 Lateralization in Fluorescence Images.Biomolecules · 2020Article
- Automated image analysis system for studying cardiotoxicity in human pluripotent stem cell-Derived cardiomyocytes.BMC bioinformatics · 2020Article
- A high-throughput ratiometric method for imaging hypertrophic growth in cultured primary cardiac myocytes.Journal of molecular and cellular cardiology · 2019Article
- High-content phenotypic assay for proliferation of human iPSC-derived cardiomyocytes identifies L-type calcium channels as targets.Journal of molecular and cellular cardiology · 2019Article
- The NCirculation · 2019Article
- High content analysis identifies unique morphological features of reprogrammed cardiomyocytes.Scientific reports · 2018Article
- Near to One's Heart: The Intimate Relationship Between the Placenta and Fetal Heart.Frontiers in physiology · 2018Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Cardiac hypertrophy is controlled by a complex signal transduction and gene regulatory network, containing multiple layers of crosstalk and feedback. While numerous individual components of this network have been identified, understanding how these elements are coordinated to regulate heart growth remains a challenge. Past approaches to measure cardiac myocyte hypertrophy have been manual and often qualitative, hindering the ability to systematically characterize the network's higher-order control structure and identify therapeutic targets. Here, we develop and validate an automated image analysis approach for objectively quantifying multiple hypertrophic phenotypes from immunofluorescence images. This approach incorporates cardiac myocyte-specific optimizations and provides quantitative measures of myocyte size, elongation, circularity, sarcomeric organization, and cell-cell contact. As a proof-of-concept, we examined the hypertrophic response to α-adrenergic, β-adrenergic, tumor necrosis factor (TNFα), insulin-like growth factor-1 (IGF-1), and fetal bovine serum pathways. While all five hypertrophic pathways increased myocyte size, other hypertrophic metrics were differentially regulated, forming a distinct phenotype signature for each pathway. Sarcomeric organization was uniquely enhanced by α-adrenergic signaling. TNFα and α-adrenergic pathways markedly decreased cell circularity due to increased myocyte protrusion. Surprisingly, adrenergic and IGF-1 pathways differentially regulated myocyte-myocyte contact, potentially forming a feed-forward loop that regulates hypertrophy. Automated image analysis unlocks a range of new quantitative phenotypic data, aiding dissection of the complex hypertrophic signaling network and enabling myocyte-based high-content drug screening.
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Registered trials
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.