Ghada NOUAIRIA collected miRNA, proteomics, and metabolomics data from patients with primary sclerosing cholangitis. The dataset, last updated on 2026-05-06, integrates these multiomics layers to study differences between disease phenotypes. It is shared under a CC-BY-4.0 license on figshare as a 811.6 KB CSV file.
Use Cases
- Integrating multiomics layers to identify molecular signatures based on the combined miRNA, proteomics, and metabolomics data.
- Studying phenotypic differences in primary sclerosing cholangitis based on the presence or absence of inflammatory bowel disease.
- Investigating associations with cholangiocarcinoma development using the multiomics profiles.
Strengths
- Integrates three distinct omics layers (miRNA, proteomics, metabolomics) for a holistic view.
- Shared under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.
- Last updated on 2026-05-06, indicating recent maintenance.
Limitations
- Row count is unknown, which may limit suitability assessment for large-scale analyses.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is 811.6 KB, indicating a limited scope and likely a small sample size.
Provenance
- Source
- figshare
- Collection Method
- Collected from patients with primary sclerosing cholangitis.
- Time Range
- null
- Freshness
- Last updated 2026-05-06 08:55:16; freshness should be verified.
- Geography
- null