Supplementary Tables S1-S14: Protein Interaction Analysis for Prader-Willi Syndrome

Supplementary Tables S1-S14 by Kunal Bham, published on figshare in April 2026, contain data from a study mapping Prader-Willi Syndrome (PWS) gene expression onto a human protein-protein interaction network. The 6.6 MB dataset, available in XLSX format, includes results from graph learning techniques used to identify impacted proteins and suggest novel disease mechanisms. The work integrates PWS and control expression data with a PPI network to calculate node embeddings and perform functional enrichment analysis.

Use Cases

• Identifying proteins with large expression differences between PWS and control conditions based on the network embedding analysis described.
• Performing functional enrichment analysis on candidate proteins to discover altered biological processes in PWS, as outlined in the study.
• Investigating the role of glycosylation pathways and homeobox proteins in PWS phenotypes, based on the enrichment results mentioned in the description.
• Applying the adapted GeneEMBED network-based method to other complex diseases, as suggested by the authors.

Strengths

• Dataset is 6.6 MB in size, making it a manageable download for analysis.
• Results were described as highly reproducible across PWS model systems in the source study.
• Data is openly shared under a CC-BY-4.0 license, permitting reuse with attribution.

Limitations

• Row count is unknown, which may limit suitability assessment for certain analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited to the study's abstract; actual data structure requires manual inspection.

Provenance

Source

figshare

Collection Method

Generated from integrating Prader-Willi Syndrome or control gene expression data with a human protein-protein interaction network and applying graph learning techniques.

Time Range

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Freshness

Last updated 2026-04-28 17:23:55; freshness should be verified.

Geography

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