Supplementary File 2: Multi-Omics Data for PGAP3 and Immune Exclusion in Prostate Cancer

An 11.0 MB Excel file from a study by Weihao Liu, last updated March 18, 2026. The data supports research identifying PGAP3 as a tumor-intrinsic gene associated with metabolic reprogramming and CD8+ T-cell exclusion in prostate cancer. It integrates results from transcriptome-wide Mendelian randomization, multi-cohort bulk and single-cell RNA sequencing, spatial transcriptomics, and immune profiling.

Use Cases

• Prioritizing candidate risk genes based on integrated transcriptome-wide Mendelian randomization and eQTL data.
• Analyzing correlations between gene expression (PGAP3) and metabolic activity (biotin, aspartate/asparagine, sulfur metabolism).
• Investigating associations between tumor-intrinsic gene expression and immune cell infiltration (CD8+ T-cell) levels.
• Validating in vitro functional effects (proliferation, clonogenicity, migration) of gene silencing from cell line experiments.

Strengths

• Data integrates multiple high-throughput analysis methods: Mendelian randomization, bulk and single-cell RNA-seq, and spatial transcriptomics.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.
• File is 11.0 MB, indicating a manageable size for download and local analysis.

Limitations

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

Provenance

Source

figshare, author Weihao Liu.

Collection Method

Integrated from transcriptome-wide Mendelian randomization of PCa GWAS and eQTL data with multi-cohort bulk and single-cell RNA sequencing, spatial transcriptomics, and immune profiling.

Time Range

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Freshness

Last updated 2026-03-18 05:21:15; freshness should be verified.

Geography

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