Table 1_Multi-layer transcriptomic analyses identify a mucin-associated epithelial program

Jianmin Huang published a transcriptomics dataset on figshare in 2026. The data integrates bulk, single-cell, and spatial transcriptomic analyses from discovery cohort GSE107499 to identify mucin-associated epithelial determinants relevant to ulcerative colitis. It includes findings on 15 dysregulated mucin-type O-glycosylation and mucin-associated genes, with functional validation in HT29-19A cells.

Use Cases

• Prioritizing candidate genes like GALNT12 based on multi-omic integration for ulcerative colitis research.
• Analyzing associations between mucin glycosylation gene expression and inflammatory pathway enrichment (e.g., TNFA signaling, interferon gamma response).
• Investigating cell-cell communication patterns in MUC2-positive epithelial cells using inferred single-cell data.
• Correlating spatial transcriptomic niches with goblet cell signatures and inflammatory scores in tissue samples.

Strengths

• Integrates three transcriptomic analysis layers: bulk, single-cell, and spatial, as described.
• Includes functional validation data from HT29-19A cell line experiments.
• License is CC-BY-4.0, permitting broad reuse.

Limitations

• Dataset size is 46.3 KB, indicating a very limited scope, likely containing summary results rather than raw data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Integrated transcriptomic analyses from discovery cohort GSE107499 and functional validation.

Freshness

Last updated 2026-06-03 04:47:33; freshness should be verified.