Supporting data for the manuscript 'Rapid, Growth Factor-Reduced Differentiation of Functional Neurons from hiPSCs.' The dataset contains raw and processed files from differentiation, characterization, and functional assessment experiments. It was contributed by Natalie Parker of the Iyer Lab and last updated on April 27, -2026.
Use Cases
- Validate neuronal differentiation protocols based on the described imaging and electrophysiological data.
- Analyze functional neuron maturation based on the multi-electrode array (MEA) recordings.
- Benchmark growth factor-reduced differentiation methods using the provided tabular and imaging datasets.
- Reproduce the experimental workflow described in the manuscript using the supplementary media and documentation.
Strengths
- Contains raw data files, including electrophysiological recordings and imaging, which supports reproducibility.
- Includes processed files alongside raw data, facilitating analysis at different stages.
- Covers multiple data modalities (imaging, electrophysiology, tabular) relevant to a complete experimental workflow.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and dataset scale are unknown, which may limit suitability assessment for large-scale analysis.
Provenance
- Source
- Iyer Lab
- Collection Method
- Experimental data generated throughout neuronal differentiation, characterization, and functional assessment.
- Time Range
- null
- Freshness
- Last updated 2026-04 27 17:12:03; freshness should be verified.
- Geography
- null