SPTBN2 Multi-Omics Characterization in Colorectal Cancer

Chunlin Chen published an integrated multi-omics analysis of the SPTBN2 gene in colorectal cancer on figshare in May 2026. The dataset likely contains transcriptomic, DNA methylation, single-cell RNA sequencing, and spatial transcriptomics profiles sourced from TCGA and GEO databases. It focuses on SPTBN2's expression patterns, prognostic relevance, epigenetic associations, and links to the tumor immune microenvironment.

Use Cases

• Identify prognostic biomarkers based on SPTBN2 expression patterns and survival associations.
• Analyze epigenetic regulation of gene expression based on promoter-region methylation data.
• Characterize tumor immune microenvironment states based on regulatory T-cell signatures and checkpoint expression.
• Prioritize candidate genes for functional assays based on Mendelian randomization and single-cell RNA-seq integration.

Strengths

• Integrates multiple data types including transcriptomics, DNA methylation, and single-cell RNA-seq.
• Links genetic analysis (Mendelian randomization) with functional assays for candidate validation.
• Data is sourced from authoritative public repositories like TCGA and GEO.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a 16.5 KB DOCX file, suggesting limited scope or a summary document rather than raw data tables.

Provenance

Source

TCGA and GEO databases.

Collection Method

Integrated analysis of multi-omics profiles, single-cell RNA sequencing, spatial transcriptomics, and Mendelian randomization.

Freshness

Last updated 2026-05-19 06:41:56; freshness should be verified.