GLYATL1 Study: Steady-State Metabolite Levels in Luminal Breast Cancer Cell Lines

Supplementary Material 16 provides mass spectrometry measurements of soluble metabolites in MCF7 parental and long-term estrogen deprived (LTED) breast cancer cells, including LTED GLYATL1 knockout clones. Janina Müller authored this dataset, which was last updated on 2026-04-30. The 1.8 MB XLSX file contains peak intensities, fold changes, and p-values for metabolite comparisons across five replicates.

Use Cases

• Identify metabolic biomarkers of endocrine resistance based on fold changes between parental and LTED cells.
• Assess the metabolic impact of GLYATL1 gene knockout based on comparisons between LTED and knockout clones.
• Validate metabolite identification using fragmentation patterns and HMDB identifiers mentioned in the description.
• Perform statistical analysis of metabolic differences using provided p-values and adjusted p-values.

Strengths

• Metabolite quantification is supported by fragmentation patterns and an in-house library, as described.
• Data includes statistical metrics (p-values, adjusted p-values) for indicated comparisons.
• Peak intensities were normalized by internal standard levels, a noted quality control step.
• The dataset is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The 1.8 MB file size suggests a relatively small-scale experimental dataset.

Provenance

Source

figshare

Collection Method

Metabolites were quantified using mass spectrometry, with peak integration via El-MAVEN software.

Freshness

Last updated 2026-04-30 04:13:34; freshness should be verified.