Data Sheet 1_Integrated transcriptome and single-cell RNA sequencing identifies small GTPa

Three novel diagnostic biomarkers (ARHGEF3, S100A8, and RHOU) for ulcerative colitis were identified and validated across multiple independent cohorts. The supporting data, authored by Meilin Chen and last updated in April 2026, includes results from integrated transcriptomic datasets and single-cell RNA sequencing analyses. A diagnostic nomogram built using these biomarkers achieved an AUC of 0.991 in the training set.

Use Cases

• Training diagnostic classifiers for ulcerative colitis based on the identified small GTPase-associated biomarkers.
• Investigating immune cell infiltration and macrophage heterogeneity in UC using the described single-cell RNA sequencing results.
• Differentiating ulcerative colitis from Crohn's disease based on the discriminative potential of the ARHGEF3 biomarker.
• Studying pathways like 'Tight junction' and 'Leukocyte transendothelial migration' implicated by the biomarker enrichment analysis.

Strengths

• Biomarkers were validated across multiple independent external cohorts, with a diagnostic nomogram achieving an AUC of 0.991 in training.
• Analysis integrated multiple transcriptomic datasets and employed four machine learning algorithms for biomarker screening.
• Findings were further investigated using single-cell RNA sequencing and validated with in vivo experiments.

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 primary data file is a 2.0 MB DOCX document, which may not be a standard, machine-readable data format.

Provenance

Source

figshare

Collection Method

Integrated analysis of multiple transcriptomic datasets, machine learning screening, and single-cell RNA sequencing.

Freshness

Last updated 2026-04-22 05:49:14; freshness should be verified.