Quantification of morphological, functional, and biochemical features of H9c2 rat cardiomyoblast retinoic acid differentiation
Bibliographic record
Abstract
Abstract Cell culture models enable advancement in our understanding of heart development and heart disease. The H9c2 rat ventricular cardiomyoblast cell line can be differentiated, recapitulating certain components of cardiomyocyte development; however, morphological, functional, and biochemical changes are rarely investigated in parallel, thereby limiting fulsome understanding. We therefore characterized 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 several morphological changes with increasing time in differentiation, including increased mean length, area, eccentricity, and multinucleation, as well as an increase in actin clusters. Spontaneous Ca 2+ transients in differentiated H9c2 cells had decreased frequency and synchronicity compared to those observed in primary cardiomyocytes. Additionally, key cardiomyocyte cytoskeletal proteins and ion channel transcript and protein expression levels changed significantly with differentiation, in alignment with changes normally observed in cardiomyocyte development. Our findings suggest H9c2 cells may be used as a high throughput screening model to investigate cardiomyocyte biology in certain developmental contexts with relevance to heart health and disease. Highlights 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 cardiomyocyte differentiation. We summarize these parallel time-point dependent changes in morphology, Ca 2+ handing, and gene expression to enable other researchers to optimize their study design.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".