Integrated Transcriptome and scRNA-seq Data for Ulcerative Colitis Biomarker Discovery

Meilin Chen published this dataset on 2026-04-22 via figshare. It contains integrated transcriptomic and single-cell RNA sequencing data used to identify small GTPase-associated biomarkers for ulcerative colitis. The study validated three biomarkers (ARHGEF3, S100A8, RHOU) across multiple independent cohorts and constructed a diagnostic nomogram.

Use Cases

• Validate diagnostic biomarkers for ulcerative colitis based on the identified genes ARHGEF3, S100A8, and RHOU.
• Investigate immune cell infiltration and macrophage heterogeneity in UC using the integrated single-cell RNA sequencing data.
• Build machine learning models for differential diagnosis between ulcerative colitis and Crohn's disease based on the described biomarker expression.
• Perform functional enrichment analysis on pathways like 'Tight junction' and 'Leukocyte transendothelial migration' implicated by the study.

Strengths

• Biomarkers were validated across multiple independent external cohorts, as described in the study.
• The diagnostic nomogram built from the biomarkers reportedly achieved an AUC of 0.991 in the training set.
• Data is shared under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• The dataset is extremely small at 399.0 B, suggesting it may contain only summary results or a minimal table, not raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.

Provenance

Source

figshare, author Meilin Chen.

Collection Method

Integrated from multiple transcriptomic datasets and single-cell RNA sequencing analyses, as described in the study methods.

Freshness

Last updated 2026-04-22 05:49:12; freshness should be verified.