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

A transcriptomic dataset from a study identifying small GTPase-associated biomarkers for ulcerative colitis. The data includes results from integrated transcriptomic datasets and single-cell RNA sequencing analyses, leading to the identification of three biomarkers (ARHGEF3, S100A8, RHOU). The dataset was authored by Meilin Chen and last updated on 2026-04-22.

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 based on the described single-cell RNA sequencing analysis.
• Build diagnostic nomograms or machine learning models for UC based on the described biomarker screening methodology.
• Study the role of small GTPase-related genes in inflammatory pathways like 'Tight junction' and 'Leukocyte transendothelial migration'.

Strengths

• Biomarkers were validated across multiple independent cohorts with reported diagnostic AUC values up to 0.991.
• The study employed four machine learning algorithms for biomarker screening and included external validation.
• Analysis integrates bulk transcriptomics with cross-dataset single-cell RNA sequencing data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (14.7 KB), indicating it likely contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Integrated analysis of multiple transcriptomic datasets and single-cell RNA sequencing data, as described in the study methods.

Freshness

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