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Abstract 4370209: PROLONGED PROLIFERATION OF EARLY-STAGE HUMAN PLURIPOTENT STEM CELL-DERIVED VENTRICULAR CARDIOMYOCYTES REDUCES PACEMAKING FUNCTION WHILE PROMOTING MATURATION

2025· article· en· W4415791671 on OpenAlexaff
Jessica Legree, Eloi Mercier, Mark Hills, Ryan Conder, Allen Eaves, Sharon A. Louis, Vincenzo Macri

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsStemcell Technologies
Fundersnot available
KeywordsInduced pluripotent stem cellGene expressionCell growthGeneCellStem cellElectrophysiologyBeat (acoustics)Myocyte

Abstract

fetched live from OpenAlex

Introduction: Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) hold great promise for cell therapy and drug discovery. However, their inherent immaturity, characterized by spontaneous beating, limits their utility. Interestingly, previous data showed that proliferating hPSC-CMs exhibited a slower beat rate, but their genetic and maturation status was not reported. Here, we show that prolonged proliferation of hPSC-derived ventricular cardiomyocytes (hPSC-VCMs) reduces beat rate and pacemaker gene expression along with the increased expression of genes associated with cardiomyocyte maturation. Hypothesis: Prolonged proliferation of early-stage hPSC-VCMs leads to a reduction in beat rate and pacemaker gene expression and improves maturation. Methods: Four hPSC lines were differentiated to early-stage hPSC-VCMs. On day 11 of differentiation, early-stage hPSC-VCMs were harvested, replated, and proliferated weekly for 5 weeks alongside time-matched, non-proliferated control hPSC-VCMs. Protein expression, gene expression, and electrophysiological activity were evaluated using flow cytometry, RNA sequencing, and microelectrode array analysis, respectively. Data are shown as mean ± SEM. Results: After 5 weeks, the cardiomyocyte marker cTnT increased from 88 ± 4% (day 11, n = 15) to 94 ± 3% (n = 15) in proliferated hPCS-VCMs, which was higher than the non-proliferated control (60 ± 7%, n = 15), and resulted in an ~80-fold cell expansion. Proliferated hPSC-VCMs exhibited a stepwise decrease in beat rate over five passages (P1 = 28 ± 1 BPM, P2 = 16 ± 1 BPM, P3 = 11 ± 1 BPM, P4 = 8 ± 3 BPM, P5 = 10 ± 1 BPM; n = 4), a trend not observed in control hPSC-VCMs (P1 = 23 ± 2 BPM, P2 = 29 ± 3 BPM, P3 = 33 ± 6 BPM, P4 = 20 ± 4 BPM, P5 = 37 ± 1 BPM; n = 4). Passages 2, 3, and 5 had significantly lower beat rates compared to their time-matched controls (p < 0.05). RNA sequencing revealed a corresponding stepwise downregulation of pacemaker genes ( HCN1 , HCN4 , CACNA1H ) and upregulation of maturation-related genes ( MYL2 , KCNH2 , CACNA1C , SCN5A , KCNJ2 , JPH2 ) in proliferated cells. Notably, expression of cardiac ion channel genes KCNH2 , KCNQ1 , and CACNA1C in proliferated hPSC-VCMs were comparable to those found in the adult human ventricle. Conclusion: Prolonged proliferation of hPSC-VCMs effectively reduces intrinsic pacemaking activity and promotes a mature phenotype which will improve their utility in basic and translational cardiovascular research.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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