Evidence map›Paper›PMID 41048928›Full record

ArticleJournal of molecular and cellular cardiology plus2025

Single-cell dynamics reveal a stress-induced decision between hypertrophy and apoptosis in neonatal rat cardiomyocytes.

Bryan Chun, Lavie Ngo, Jeffrey J Saucerman

Abstract read
In one paragraph

Article in Journal of molecular and cellular cardiology plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Bryan ChunDepartment of Biomedical Engineering, Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, 22908, USA.
Lavie NgoDepartment of Biomedical Engineering, Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, 22908, USA.
Jeffrey J SaucermanDepartment of Biomedical Engineering, Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, 22908, USA.

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008715 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LAURIE, GORDON WILLIAM · 2000 to 2019
$6.6M
Systems Pharmacology Model for Spatial Control of Cardiac FibrosisR01HL137755 · NHLBI · UNIVERSITY OF VIRGINIA · PI HOLMES, JEFFREY W, SAUCERMAN, JEFFREY J. · 2017 to 2020
$1.9M
Interdisciplinary Training in Systems & Biomolecular Data ScienceT32GM145443 · NIGMS · UNIVERSITY OF VIRGINIA · PI Kevin A Janes, Jason Papin · 2022 to 2026
$1.5M
Modeling intra- and inter-cellular networks for TRPC6-dependent cardiac fibrosisR01HL176700 · NHLBI · UNIVERSITY OF VIRGINIA · PI Jennifer Michelle Davis, Jeffrey J. Saucerman · 2025 to 2026
$1.4M
Operetta CLS High-content Imaging SystemS10OD021723 · OD · UNIVERSITY OF VIRGINIA · PI LAZO, JOHN S. · 2017 to 2017
$516k
Differential regulation of hypertrophy and apoptosis by beta adrenergic signaling in cardiac myocytesF30HL134266 · NHLBI · UNIVERSITY OF VIRGINIA · PI CHUN, BRYAN · 2016 to 2019
$165k
NHLBI NIH HHS F30 HL134266NHLBI NIH HHS R01 HL137755NHLBI NIH HHS R01 HL176700NIGMS NIH HHS T32 GM008715NIGMS NIH HHS T32 GM145443NIH HHS S10 OD021723
6 · The paper itself

Abstract

Cardiomyocyte hypertrophy and apoptosis underlie cardiomyopathies and heart failure. While previous studies have reported both hypertrophy and apoptosis at the population level, how individual cells commit to these distinct analog and digital fates is unclear. To elucidate how individual cells decide to grow and/or die, we developed a high-content microscopy approach to track single-cell dynamics of neonatal rat cardiomyocytes. Even untreated cells exhibited substantial single-cell variability in growth and death. Uniform treatments of staurosporine or phenylephrine induced distinctive morphological programs resulting in apoptosis and hypertrophy, respectively, but only in cell subpopulations. Increasing concentrations of the β-adrenergic receptor agonist isoproterenol caused a population-level biphasic induction of hypertrophy and then apoptosis, consistent with either apoptosis in the most hypertrophic cells (a grow-and-die model) or an early decision between hypertrophy and delayed apoptosis (a grow-or-die model). By tracking single-cell fates, we found that when stressed with either isoproterenol or phenylephrine, individual cells that hypertrophy are protected from later apoptosis. Further, caspase 3 inhibition shifted the single-cell probability from apoptosis to hypertrophy fates. Machine learning models found that a cell's initial size and DNA content or condensation could predict a cell's bias for hypertrophy or apoptosis. Together, these data support a grow-or-die conceptual model for cardiomyocyte decisions. This single-cell profiling method for tracking joint analog-digital cell decisions reveals that despite hypertrophy and apoptosis co-occurring at the population level, individual cardiomyocytes decide early whether to grow or die.

Indexed as

ApoptosisCardiomyocyteHypertrophyMachine learningMicroscopy

Identifiers

PMID41048928
PMCPMC12489833

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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.