T. Mora

This study shows that receptor crosstalk can enhance precision in sensing multiple ligand concentrations by utilizing non-cognate ligand binding events.

This paper introduces ALICE, a method to identify TCRs involved in immune responses from single RepSeq samples, showing its effectiveness across various disease conditions.

The paper develops a statistical framework to detect TCR clone changes in vaccinated twins and finds convergent yet personalized TCR responses.

The paper develops a model to predict TCR repertoire sharing by accounting for recombination biases and thymic selection, introducing a classifier that performs well across cohort sizes.

The paper develops a statistical framework to associate antigen receptor sequences with diseases using a small patient cohort, successfully identifying validated receptors for Cytomegalovirus and type 1 diabetes.

IGoR is a tool for analyzing immune receptor sequences that improves accuracy in characterizing B and T-cell repertoires and estimates required sample sizes.

This study shows asymmetric adhesion in rod-shaped bacteria drives microcolony shape and signal circulation during biofilm formation.

The paper analyzes T cell repertoires in mice to show age-related increases in VDJ recombination diversity and similar selection effects in thymus and blood.

This paper introduces TiteSeq, a method to measure binding affinities of thousands of antibody variants, revealing structural insights and the role of secondary CDR loops in stability.