GNAO1 Disorder: Mouse Model Data for Circuit-Specific Pathology

Raw data from a study using a conditional knock-in mouse model of the GNAO1 G203R variant to investigate a severe pediatric neurodevelopmental disorder. The dataset includes results from behavioral tests, electrophysiological recordings, and proteomic analyses, enabling the dissection of circuit-specific contributions to motor and epileptic symptoms. Findings informed a therapeutic intervention test using caffeine, which rescued motor abnormalities in the model.

Use Cases

• Analyzing region-specific molecular profiles from proteomic data to identify disease-associated pathways.
• Correlating behavioral test results with electrophysiological recordings to understand motor and seizure phenotypes.
• Validating circuit-specific contributions to pathology using data from striatal and forebrain neuron manipulations.
• Testing rational intervention strategies, such as caffeine treatment, based on identified molecular and functional alterations.

Strengths

• Dataset size is explicitly stated as 4.13 GB, indicating substantial raw data.
• Employs a conditional knock-in mouse model enabling precise, circuit-specific induction of the GNAO1 mutation.
• Integrates multiple data modalities: behavioral tests, electrophysiology, and proteomics for a multi-faceted analysis.

Limitations

• Column names and a precise row count are not provided, limiting understanding of data structure.
• The dataset's temporal coverage and specific geographic or institutional provenance are not detailed.
• Relies on a single, specific mouse model (G203R variant), which may limit generalizability to other GNAO1 mutations.

Provenance

Source

Kirill Martemyanov

Collection Method

Data generated from a conditional knock-in mouse model, behavioral tests, electrophysiological recordings, and proteomic analysis.

Time Range

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Freshness

Last updated on 2026-03-19.

Geography

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