Osteogenic Differentiation Endpoint Assay Measurements for Cellular Automaton Model

Experimental data from the manuscript 'A cellular automaton model of osteogenic differentiation reveals identifiability limits of endpoint assays.' The dataset contains primary endpoint assay measurements from MC3T3-E1 cell experiments under dexamethasone and menaquinone-4 perturbations. Ali Aslan Demir authored the dataset, which was last updated on 2026-05-03.

Use Cases

• Calibrating a cellular automaton model based on endpoint assay readouts of alkaline phosphatase activity.
• Analyzing the effects of dexamethasone perturbations on collagen type I immunofluorescence signals.
• Investigating latent differentiation trajectories using endpoint measurements of mineralization.
• Validating model identifiability limits using experimental data from menaquinone-4 treatments.

Strengths

• Data is directly associated with a peer-reviewed manuscript, providing research context.
• Includes primary endpoint assay measurements for alkaline phosphatase activity, collagen type I immunofluorescence, and mineralization.
• Full reproducibility is supported by publicly available source code and an analysis pipeline at a provided GitHub repository.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Ali Aslan Demir, DataverseNO Harvested Dataverse

Collection Method

Experimental measurements from MC3T3-E1 osteogenic differentiation experiments combined with a cellular automaton model.

Freshness

Last updated 2026-05-03 10:10:12; freshness should be verified.