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Record W4414823164 · doi:10.1016/j.jmccpl.2025.100486

Quantification of morphological, functional, and biochemical features of H9c2 rat cardiomyoblast retinoic acid differentiation

2025· article· en· W4414823164 on OpenAlexafffund
Nicole York, Mohammadreza Rahmani Manesh, K’sana Wood Lynes‐Ford, Leigh E. Wicki‐Stordeur, Laura Arbour, Leigh Anne Swayne

Bibliographic record

VenueJournal of Molecular and Cellular Cardiology Plus · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
FundersCanadian Institutes of Health ResearchUniversity of Victoria
KeywordsRetinoic acidContext (archaeology)Cellular differentiationCytoskeletonCell cultureCellActin cytoskeletonLimiting

Abstract

fetched live from OpenAlex

Cell culture models enable advancement in our understanding of heart development and heart disease. The H9c2 rat ventricular cardiomyoblast cell line can be differentiated with retinoic acid and low serum, leading to morphological, molecular, and functional changes that partially resemble aspects of cardiomyoblast-to-cardiomyocyte differentiation. However, morphological, functional, and biochemical changes are rarely investigated in parallel, thereby limiting fulsome understanding of how these processes are interlinked, and to what extent these model cardiomyoblasts can be differentiated. To provide a parallel analysis as a resource for future studies, we therefore characterized H9c2 cell morphology, Ca 2+ handling, and gene expression after five days (5 days- in-vitro, DIV5), and fourteen days (DIV14) of exposure to differentiation stimuli, consisting of retinoic acid and low serum. We observed statistically significant morphological changes during differentiation. We saw changes consistent with those already described in the context of cardiomyoblast differentiation. However, some of these were previously limited to qualitative observations, for example increased cell length. Notably, several of our morphological observations are completely novel, such as increases in eccentricity, perimeter length (aka cell boundary length), and in the density of actin clusters, were investigated de novo. Differentiation also resulted in the onset of spontaneous Ca 2+ transients – this is the first instance, to our knowledge, that this has been characterized in the absence of pharmacological stimulation. The mean frequency and synchronicity of Ca 2+ transients in differentiated H9c2 cells were much lower than those observed in primary cardiomyocytes, underscoring their relatively immature differentiation state from a functional perspective. Additionally, key cardiomyocyte cytoskeletal proteins and ion channel transcript and protein expression levels changed significantly with differentiation, including at early timepoints (DIV5 h and DIV3) which had not yet been investigated by others, in alignment with changes normally observed in cardiomyocyte development. Overall, our findings position differentiated H9c2 cells as a relatively high-throughput, model for studying cardiomyoblast differentiation, while also clarifying their limitations in recapitulating fully mature cardiomyocyte phenotypes and highlight reliable markers (e.g., Cacna1c, Myom2, cTnT, VCL, and Gja5) for experimental readouts. • We quantified morphology, Ca 2+ handling, and gene expression changes in rat ventricular cardiomyoblast H9c2 cells across retinoic acid differentiation. • We compared multiple differentiation time points (mainly DIV0, DIV5, and DIV14) and observed time-dependent changes in all 3 aspects. We observed several morphological changes with increasing time in differentiation, including increased mean length, area, eccentricity, and multinucleation, as well as an increase in actin clusters. We observed the onset of spontaneous Ca 2+ transients with differentiation, with further changes in subpopulations with increasing time in differentiation. Finally, we observed multiple changes in gene expression consistent with cardiomyoblast differentiation. • We summarize these parallel time-point dependent changes in morphology, Ca 2+ handing, and gene expression, thereby providing an invaluable resource for other researchers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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