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

A transcriptomic dataset from figshare, last updated in April 2026, identifies three small GTPase-associated biomarkers (ARHGEF3, S100A8, RHOU) for ulcerative colitis. The data was generated by author Meilin Chen through the integration of multiple transcriptomic datasets and validation with single-cell RNA sequencing. It is a 131.1 KB CSV file released under a CC-BY-4.0 license.

Use Cases

• Training diagnostic machine learning models based on the identified biomarkers ARHGEF3, S100A8, and RHOU.
• Investigating immune cell infiltration and macrophage heterogeneity in ulcerative colitis based on the described single-cell RNA sequencing analysis.
• Studying the association between gene expression and clinical disease severity as referenced in the description.
• Performing differential diagnosis analysis between ulcerative colitis and Crohn's disease using the biomarker expression profiles.

Strengths

• Identifies three specific biomarkers (ARHGEF3, S100A8, RHOU) validated across multiple independent cohorts.
• The associated diagnostic nomogram achieved high AUC scores, including 0.991 in the training set.
• Analysis includes cross-dataset single-cell RNA sequencing for mechanistic investigation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is small in scale at 131.1 KB, indicating limited data volume.

Provenance

Source

figshare

Collection Method

Integrated from multiple transcriptomic datasets and validated with single-cell RNA sequencing and in vivo experiments.

Freshness

Last updated 2026-04-22 05:49:11; freshness should be verified.