Supplementary Material 15: Reactome Pathway Analysis for Breast Cancer Cell Lines

Supplementary Material 15 contains Reactome pathway enrichment analysis results from proteomic data of MCF7 breast cancer cells and their derivatives. The dataset includes GSEA statistics and Benjamini-Hochberg adjusted p-values for pathway comparisons between parental, LTED, and GLYATL1 knockout cell lines. Janina Müller authored this dataset, which was last updated on April 30, 2026.

Use Cases

• Perform pathway enrichment analysis based on Reactome molecular pathways mentioned in the description
• Compare proteomic changes between parental and LTED breast cancer cell lines based on log2 fold-changes
• Evaluate the impact of GLYATL1 knockout on pathway activation in endocrine-resistant cells based on the KO1 and KO2 comparisons

Strengths

• Dataset includes Benjamini-Hochberg adjusted p-values for statistical rigor
• Analysis is based on Reactome molecular pathways, a widely recognized resource
• Proteomic comparisons are derived from three replicates (n=3) for each condition

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect bias inherent to the specific cell line model (MCF7) used

Provenance

Source

figshare

Collection Method

Gene set enrichment analysis performed using the ReactomePA package on proteomic data from cell culture experiments.

Freshness

Last updated 2026-04-30 04:13:33