Matthew R. Schaner

The paper identifies differential expression and splicing in IBD patients, showing distinct molecular mechanisms in CD and UC.

The paper identifies differentially expressed lncRNAs in Crohn's disease using genome-guided RNA-seq and links them to nearby protein-coding genes involved in immune response and tissue regeneration.

The paper identifies novel target genes associated with IBD by analyzing eQTL in diseased colon tissue and comparing them to non-IBD eQTL.

The paper identifies miR-29 as a predictive marker for severe phenotypes in pediatric Crohn's disease through miRNA analysis and validation in mice and human patients.

The paper uses machine learning to predict clinical outcomes in pediatric Crohn's disease by analyzing gene expression from ileal and colonic tissues.

The paper uses single-cell analysis to compare colonic epithelial cells in Crohn's disease and control patients, revealing shifts in cell composition and gene expression patterns.

The paper finds that increased colonic ACE2 expression in Crohn's disease patients is associated with a higher risk of surgery within 5 years.