Mara Anaís Llamas-Covarrubias

This paper introduces FACTS, a scalable machine learning framework for multi-disease classification using TCR repertoires, achieving high accuracy and preserving biological signals.

The paper shows that ZAP-70 mutations in mice lead to a shift in T cell repertoires, with pathogenic Th17 cells resembling Tregs and contributing to autoimmune arthritis.

InterClone stores, searches, and clusters adaptive immune receptor repertoires, demonstrating its utility in analyzing SARS-CoV-2 antibodies and TCRs from different donor groups.

This study identifies an allosteric mechanism where TCR-pMHC binding induces CD3 dynamics through conformational changes, with the TCRβ FG loop acting as a gatekeeper and the connecting peptide as a hinge.