Meaghan M. Kennedy Ng

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 links chronic pain genetic variants to dorsal horn neuron subtypes using multi-species single-cell and spatial transcriptomic analyses.

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 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.