H. Benjamin Larman

The paper identifies an intrathecal antibody response to EBV BRRF2 and human antigens in MS, showing cross-reactivity and association with increased IgG synthesis.

The paper isolates E1-dependent broadly neutralizing antibodies against HCV and uses mAbClust with AlphaFold 3 to map a quaternary epitope spanning E1 and E2.

This paper introduces a method for high-plex spatial transcriptomics using dual probe ligation and rolling-circle amplification to analyze FFPE tissues.

HIV-1 viremia not suppressed by effective ART can be caused by proviruses in CD4+ T cells reactive to autologous antigens.

This study identifies that anti-Mi2 autoantibodies also target AIRE at a shared PHD1 domain, disrupting NuRD complex function by interfering with nucleosome anchoring.

The paper develops a computational method to design diverse venom libraries and discovers peptides targeting the human itch receptor MRGPRX4.

The paper evaluates edgeR for PhIP-Seq data analysis and introduces BEER, a Bayesian framework for improved normalization and analysis.

The paper identifies heritable antibody epitopes and genetic loci associated with EBV immune responses and viral load control using twin and SNP-genotyped data.

The paper introduces SEPARATE, a method to profile protease activity using phage display of the human proteome, identifying both known and novel substrates.

DeepTCR uses deep learning to analyze T-cell receptor sequences, improving classification and prediction in immunology and clinical settings.

The paper introduces AVARDA, a software package for analyzing VirScan data to deconvolute antiviral antibody responses, improving viral encephalitis diagnosis by 62.5% in a cohort.

The paper introduces a z-score algorithm to improve PhIP-Seq data analysis, demonstrating better bias removal and sensitivity in identifying autoantibody targets.