Harlan S. Robins

The paper identifies immune exposure signatures by clustering T-cell receptors co-occurring across donors, linking them to specific pathogens and HLA alleles.

The paper identifies CeD-specific TCRs in peripheral blood that classify celiac disease independently of gluten intake, showing higher predictive power than traditional TCRs.

The paper profiles T cell receptor alpha repertoires in IBD patients across multiple cohorts, identifies disease-associated clonotypes, and validates findings in an independent dataset.

The paper analyzes TCRβ repertoires from 30,000 individuals to show that TCR diversity is primarily determined by repertoire size and the frequency of the 1,000 most abundant clones, explaining 96% of variance in diversity.

The paper maps T-cell receptor β sequences to specific HLA allotypes using population-level TCR repertoire data, enabling accurate HLA imputation and revealing insights into TCR-HLA interactions.

The paper identifies public TCRB sequences expanded in CD or UC, associated with HLA alleles and antigen-specific immune responses, showing differential expansion in CD compared to UC and healthy controls.

The paper analyzes TCRβ repertoires from 30,000 individuals to show that immune decline with age correlates with cancer incidence, revealing an immune-mutation balance in carcinogenesis.

The paper provides a catalog of public T-cell receptors specific to cytomegalovirus (CMV) and explores their antigen specificity and subgroup variations.

Seq2MAIT identifies MAIT cells from bulk TCR-sequencing data using a transformer-based model, achieving AUROC >0.80 across datasets.

This study explores factors influencing response and resistance to atezolizumab in urothelial cancer using multi-omic data, finding associations between TCR clonality and clinical outcomes.

The paper identifies public TCR signatures that accurately distinguish CMV infection status using immunosequencing and machine learning, with a large dataset of TCR sequences.