SA-CaRU Model Data for Human Cardiac Calcium Dynamics Under Phosphorylation

A computational model dataset for intracellular calcium dynamics in human ventricular myocytes, focusing on stochastic gating and release variability. The dataset, authored by Gustavo Montes Novaes and published on figshare in April 2026, presents a Scalable Aggregate Calcium Release Unit (SA-CaRU) model integrating a Markov Chain-based description of L-type Calcium Channels. It enables systematic exploration of calcium release variability as a function of microdomain size and coupling under healthy and phosphorylated conditions.

Use Cases

• Simulating stochastic to deterministic transition in calcium release based on effective microdomain size and channel count.
• Assessing whole-cell model reliability under conditions of high phosphorylation or LCC upregulation.
• Exploring variability in sarcoplasmic reticulum calcium release as a function of microdomain coupling.
• Validating Markov Chain-based channel models against classical Hodgkin-Huxley gate frameworks.

Strengths

• Model integrates a recently developed Markov Chain-based description of L-type Calcium Channels.
• Dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.
• The single-SA-CaRU system captures key features of microscale and macroscale calcium cycling within a unified framework.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is contained in a 1.5 MB PDF file, which may require extraction or parsing to access structured data.

Provenance

Source

figshare

Collection Method

Computational modeling and simulation, based on previously published Markov Chain-based frameworks for the human heart.

Time Range

Simulation data, no specific temporal coverage indicated.

Freshness

Last updated 2026-04-13 04:35:22.

Geography

Model is for human ventricular myocytes; no specific geographic coverage.