John Mark B. Gubatan

This study creates a single-cell immune repertoire atlas in IBD patients, revealing coordinated immune states and identifying potential therapeutic targets.

This study uses single-cell RNA sequencing and spatial profiling to show fibroblasts influence neutrophil inflammation in UC, with 5β1 targeting reducing inflammatory responses.

This paper introduces immuneML, a framework for unsupervised machine learning in adaptive immune receptor repertoires, demonstrating its use in generative modeling, clustering, and dataset analysis.

The paper identifies treatment resistance in ulcerative colitis linked to residual neutrophil subsets and inflammatory fibroblasts using single-cell analysis of biopsy data.