Encarnita Mariotti‐Ferrandiz

The paper identifies a shared Treg dysfunction signature across rheumatic diseases, suggesting a therapeutic window of opportunity for Treg-targeted treatments.

The paper identifies sex-specific differences in TCR selection during thymic development, showing female effector T cells have more autoimmunity-associated TCRs while female Tregs have fewer.

The paper develops a gene signature to distinguish type 1 diabetic patients from healthy donors using whole blood transcriptomic data, finding that combining multiple analytical methods improves classification accuracy.

This study identifies Treg dysfunction as associated with OA-related pain through multi-omic analysis of peripheral blood from knee OA patients.

The paper benchmarks nine unsupervised methods for inferring TCR specificity using a curated database of 190,670 human TCRs, identifying method-specific strengths in retention, purity, and sensitivity.

AnalyzAIRR provides a user-friendly R package for analyzing bulk AIRR sequencing data, enabling comprehensive immune system analysis through advanced statistical and visualization tools.

This study analyzes Tfr and Tfh cell TCR repertoires to show their antigen specificity and reveals bystander activation of follicular T cells during immune responses.