Data Sheet 1: Multi-omics Analysis of WSTF and GLYCTK in Colorectal Cancer

A 3.6 MB research document by Liming Zhou, last updated on 2026-04-23, describing a multi-omics study on colorectal cancer. The study integrates transcriptomic, metabolomic, ChIP-seq, and Mendelian randomization analyses to investigate the regulatory role of the WSTF transcription factor and its downstream target GLYCTK in cancer progression and metabolic adaptation.

Use Cases

• Study the relationship between WSTF transcription factor and metabolic pathways in colorectal cancer based on the integrated multi-omics analysis described.
• Investigate GLYCTK as a potential biomarker for CRC susceptibility and immune-cold tumor microenvironments based on the SMR and immune infiltration analyses.
• Identify candidate drug compounds like phenylbiguanide and hydroxyfasudil based on the drug screening results targeting GLYCTK-associated networks.
• Analyze chromatin remodeling and promoter binding patterns of WSTF based on the ChIP-seq data and GC-rich motif findings.

Strengths

• Integrates multiple data types including transcriptomics, metabolomics, and ChIP-seq for a systems-level view.
• Includes results from functional assays, drug screening, and single-cell RNA-seq analysis.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• The primary file is a 3.6 MB DOCX document; the underlying raw multi-omics datasets are not directly provided.
• Row and column counts for any associated data tables are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare, author Liming Zhou.

Collection Method

Integrated analysis from transcriptomic, metabolomic, ChIP-seq, and GWAS datasets on CRC cells and patient cohorts.

Freshness

Last updated 2026-04-23 09:48:03; freshness should be verified.