Gene Expression Data for Ulcerative Colitis and Dietary Restriction

Supplementary data from a bioinformatics study identifies CPT1A, ANGPTL4, and CLDN1 as key genes linking dietary restriction to ulcerative colitis pathology. The analysis utilized two GEO datasets (GSE75214, GSE73661) and validated findings via a deep neural network model achieving AUCs of 0.914 and 0.933. Research includes results from gene enrichment, immune infiltration, and single-cell RNA sequencing analyses.

Use Cases

• Validate the expression levels of key genes CPT1A, ANGPTL4, and CLDN1 in independent ulcerative colitis cohorts.
• Replicate the immune infiltration analysis to identify the 27 differentially infiltrating immune cell types in new patient data.
• Apply the described deep neural network (DNN) model architecture to diagnostic prediction using gene expression features.
• Investigate the association between the identified key genes and enriched pathways like cytokine-receptor interaction or fatty acid metabolism.

Strengths

• Analysis is validated by a deep neural network model achieving high diagnostic performance with AUCs of 0.914 and 0.933.
• Findings are supported by multiple analytical methods including GSEA, GSVA, immune infiltration analysis of 27 cell types, and single-cell RNA sequencing.
• Data is associated with a specific, peer-reviewed research hypothesis linking dietary restriction genes to ulcerative colitis.

Limitations

• The dataset is a supplementary file from a single study; its scope and row/column structure are not explicitly documented.
• As a 2.7 MB ZIP file, the data scale is limited and likely contains processed results rather than raw, high-volume sequencing data.
• Temporal and geographic coverage of the source GEO datasets is unknown, potentially limiting generalizability.

Provenance

Source

Gene Expression Omnibus (GEO) datasets GSE75214 and GSE73661.

Collection Method

Bioinformatics analysis including differential expression, machine learning algorithms, and experimental validation.

Freshness

Last updated March 25, 2026.