Data Sheet 1_Multi-layer transcriptomic analyses identify a mucin-associated epithelial pr

Transcriptomic data from bulk, single-cell, and spatial analyses investigating mucin-associated epithelial determinants in ulcerative colitis. The dataset includes results from a discovery cohort GSE107499 and functional validation experiments in HT29-19A cells. It was authored by Jianmin Huang and last updated on June 3, 2026.

Use Cases

• Identify dysregulated mucin-type O-glycosylation genes based on the 15 highlighted genes from cohort GSE107499.
• Analyze epithelial-immune communication networks based on inferred incoming and outgoing communication patterns described for MUC2-positive cells.
• Investigate associations between GALNT12 expression and inflammatory pathways based on the enrichment scores for TNFA signaling, interferon gamma response, and IL6-JAK-STAT3 signaling.
• Validate epithelial barrier resilience markers based on the functional assays measuring OCLN, TJP1 expression, and cytokine production under TNF-α stress.

Strengths

• Integrates multiple transcriptomic layers including bulk, single-cell, and spatial analyses.
• Includes functional validation experiments in a cell line model (HT29-19A).
• Focuses on a specific biological program with 15 identified dysregulated genes.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is an 8.3 MB PDF, which may require extraction of underlying data.

Provenance

Source

figshare

Collection Method

Integrated bulk, single-cell, and spatial transcriptomic analyses with functional validation.

Freshness

Last updated 2026-06-03 04:47:34; freshness should be verified.