Zebrafish Metabolomics and Proteomics Data for Autism Model Intervention Study

Untargeted metabolomics and proteomics data from a pilot study investigating cocoa extract's effects on a valproic acid-induced zebrafish model of autism. The dataset includes normalized measurements from four treatment groups, each with three biological replicates processed via UHPLC-MS/MS. Jeffrey Li from Borealis Harvested Dataverse deposited this data in April 2026.

Use Cases

• Identify potential metabolic biomarkers for autism spectrum disorder based on the VPA-induced model.
• Analyze proteomic changes associated with polyphenol-rich cocoa extract intervention.
• Compare multi-omics profiles across control, treatment, and co-treatment groups described in the study.
• Validate findings from zebrafish models for translational neuropharmacology research.

Strengths

• Data is normalized using the total sum of areas for each sample, aiding comparability.
• Study design includes four distinct treatment groups with three biological replicates each.
• Analytical platform used is a high-resolution tandem mass spectrometer (Sciex TripleTOF 5600+).

Limitations

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

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Generated via untargeted proteomics and metabolomics analyses using a Shimadzu Nexera UHPLC system coupled with a Sciex TripleTOF 5600+ mass spectrometer.

Time Range

Embryos were exposed from 6 hours post-fertilization to 6 days post-fertilization.

Freshness

Last updated 2026-04-25 04:12:05; freshness should be verified.

Geography

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