CRISPRi Survival Screen Phenotypes and Statistics for Neurons Across 12 Metabolic States

An Excel file contains survival screen phenotypes and statistics from parallel CRISPRi survival screens. The data was generated from human iPSC-derived neurons across 12 metabolic states, performed in duplicate. The dataset was authored by Neal Bennett and last updated on May 15, 2026.

Use Cases

• Identify gene hits affecting neuronal survival based on CRISPRi screen statistics.
• Compare gene survival phenotypes across 12 different metabolic states.
• Rapidly query the survival impact of a specific gene of interest using the interactive tab.

Strengths

• Data is derived from experiments performed in duplicate, which may increase reliability.
• Includes an interactive feature for querying a specific gene of interest across all states.
• Covers 12 distinct metabolic states 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 analysis.

Provenance

Source

figshare

Collection Method

Parallel CRISPRi survival screens in human iPSC-derived neurons.

Freshness

Last updated 2026-05-15 22:57:34; freshness should be verified.