Developing a Soft Micropatterned Substrate to Enhance Maturation of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes (hiPSC-CMs)
Bibliographic record
Abstract
ABSTRACT Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer numerous advantages as a biological model, yet their inherent immaturity compared to adult cardiomyocytes poses significant limitations. This study addresses hiPSC-CM immaturity by introducing a novel physiologically relevant micropatterned substrate for long-term culture and maturation. A novel microfabrication technique combining laser etching and casting creates a micropatterned polydimethylsiloxane (PDMS) substrate with varying stiffness, from 2 to 50 kPa, mimicking healthy and fibrotic cardiac tissue, respectively. Platinum electrodes integrated into the cell culture chamber enabled pacing of cells at various frequencies. Subsequently, cells were transferred to the incubator for time-course analysis, ensuring contamination-free conditions. Cell contractility, cytosolic Ca 2+ transient, sarcomere orientation, distribution, and nucleus aspect ratio are analyzed in a 2D hiPSC-CM monolayer up to 90 days post-replating in relation to substrate micropattern dimensions. Culturing hiPSC-CMs for three weeks on a micropatterned PDMS substrate (2.5-5 µm deep, 20 µm center-to-center spacing of grooves, 2-5 kPa stiffness) emerges as optimal for cardiomyocyte alignment, nucleus aspect ratio, contractility, and cytosolic Ca 2+ transient. The study provides significant insights into substrate stiffness effects on hiPSC-CM contractility and Ca 2+ transient at immature and mature states. Maximum contractility and fastest Ca 2+ transient kinetics occur in mature hiPSC-CMs cultured for two to four weeks, with the optimum at three weeks, on a soft micropatterned PDMS substrate. This new substrate offers a promising platform for disease modeling and therapeutic interventions.
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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 | 0.000 | 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) | 0.000 | 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".