Genetic Regulators of Neuronal Survival Across 12 Metabolic Conditions

Neal Bennett's dataset presents an interactive heatmap of high-confidence hits from parallel CRISPRi survival screens. The screens were performed in human iPSC-derived neurons across 12 distinct metabolic conditions, with data reflecting two replicates per condition. The dataset was last updated on 2026-05-15.

Use Cases

• Identify key genetic regulators of neuronal survival based on CRISPRi screen results.
• Compare gene essentiality across different metabolic states described in the dataset.
• Validate candidate neuroprotective genes using the high-confidence hit list from the parallel screens.

Strengths

• Data includes two replicates per metabolic condition, suggesting reproducibility checks.
• Focuses on high-confidence hits from CRISPRi screens, indicating a curated subset of results.
• Covers 12 distinct metabolic conditions, allowing for comparative analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The interactive heatmap format may require specific tools or software for full data extraction and analysis.

Provenance

Source

Neal Bennett via figshare

Collection Method

Parallel CRISPRi survival screens in human iPSC-derived neurons.

Freshness

Last updated 2026-05-15 23:02:14; freshness should be verified.