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

A transcriptomic dataset from figshare, last updated in 2026, identifies three small GTPase-associated biomarkers (ARHGEF3, S100A8, RHOU) for ulcerative colitis. The data was generated by Meilin Chen by integrating multiple transcriptomic datasets and validating findings with scRNA-seq and in vivo experiments. The dataset is small at 10.6 KB and is provided under a CC-BY-4.0 license.

Use Cases

• Training diagnostic classifiers for ulcerative colitis based on the identified biomarkers ARHGEF3, S100A8, and RHOU.
• Investigating immune cell infiltration and macrophage heterogeneity in UC using the associated immune cell data.
• Performing differential diagnosis analysis between ulcerative colitis and Crohn's disease based on biomarker expression.
• Validating findings related to pathways like 'Tight junction' and 'Leukocyte transendothelial migration' mentioned in the study.

Strengths

• Biomarkers were validated across multiple independent cohorts with a reported diagnostic AUC up to 0.991.
• The dataset is associated with a detailed methodological study employing four machine learning algorithms and single-cell RNA sequencing.
• Expression levels of biomarkers were correlated with clinical severity and pathological mucosal states.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small (10.6 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Integrated from multiple transcriptomic datasets, with validation via machine learning, scRNA-seq, and in vivo experiments.

Freshness

Last updated 2026-04-22 05:49:16; freshness should be verified.