Table 8_Integrated transcriptome and single-cell RNA sequencing identifies small GTPase-as

Three biomarkers (ARHGEF3, S100A8, and RHOU) were identified and validated across multiple independent cohorts for ulcerative colitis diagnosis. The dataset results from the integration of multiple transcriptomic datasets and cross-dataset single-cell RNA sequencing analysis. Author Meilin Chen published the data on figshare under a CC-BY-4.0 license, with a last update in April 2026.

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 single-cell RNA sequencing results.
• Differential diagnosis modeling between ulcerative colitis and Crohn's disease based on biomarker expression patterns.
• Functional enrichment analysis of pathways like 'Tight junction' and 'Leukocyte transendothelial migration' in UC pathology.

Strengths

• Identified biomarkers were validated across multiple independent external cohorts, as stated in the description.
• The associated diagnostic nomogram achieved high AUC scores (0.991 in training, 0.938 and 0.968 in validation).
• Biomarker expression levels were correlated with clinical severity and pathological mucosal states.

Limitations

• The dataset is very small (2.7 KB), indicating limited scope, likely containing only summary results or a key table.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for machine learning.

Provenance

Source

figshare, author Meilin Chen.

Collection Method

Integration of multiple transcriptomic datasets and cross-dataset single-cell RNA sequencing analysis, as described.

Freshness

Last updated 2026-04-22 05:49:13; freshness should be verified.