Scott, Z. B. | bioRxiv Science

bioRxiv2025

A funnel approach to enable analyses of epitope-specific human CD4 T cells specific for influenza and SARS-CoV-2.

Protection from pathogenic organisms relies heavily on the adaptive immune response, for which key regulators are CD4 T cells. CD4 T cells, notable in the complexity of their repertoire and functional potential, can most easily be dissected with the ability to identify, quantify, characterize and isolate epitope-specific cells. In the study reported here, we present a systematic and unbiassed strategy that has enabled identification of highly immunogenic peptide epitopes derived from influenza virus and SARS-CoV-2, presented by human HLA-DR proteins. Coupling the use of HLA-DR transgenic mice with infection and vaccination with highly sensitive epitope specific cytokine ELISpot assays, we have narrowed the potential epitopes from 450-600 peptides to 5-15 peptides, by an iterative process of elimination and selection which we have termed a funnel approach. These epitopes have been validated in HLA-DR typed human CD4 T cells directly ex vivo and enabled derivation and implementation of HLA-DR peptide tetramers. Tetramer staining of human PBMCs enriched CD4 T memory populations from healthy adult subjects highlighting this approach as a sensitive and specific method of identifying novel epitopes and subsequent CD4 T cell responses to human viral infections. ImportanceTracking single epitope-specific CD4 T cells enables sophisticated analyses of the human response to infectious pathogens, vaccines and probing the human CD4 T cell immune memory compartment. The studies presented here provide a unbiased strategy for accomplishing this goal and provide a verified compilation of candidate HLA-DR restricted CD4 T cell peptide epitopes for future studies by researchers in the field of human immunology.

immunology↗

bioRxiv2024

TIRTL-seq: Deep, quantitative, and affordable paired TCR repertoire sequencing

[a]/{beta} T cells are key players in adaptive immunity. The specificity of T cells is determined by the sequences of the hypervariable T cell receptor (TCR) [a] and {beta} chains. Although bulk TCR sequencing offers a cost-effective approach for in-depth TCR repertoire profiling, it does not provide chain pairings, which are essential for determining T cell specificity. In contrast, single-cell TCR sequencing technologies produce paired chain data, but are limited in throughput to thousands of cells and are cost-prohibitive for cohort-scale studies. Here, we present TIRTL-seq (Throughput-Intensive Rapid TCR Library sequencing), a novel approach that generates ready-to-sequence TCR libraries from live cells in less than 7 hours. The protocol is optimized for use with non-contact liquid handlers in an automation-friendly 384-well plate format. Reaction volume miniaturization reduces library preparation costs to <$0.50 per well. The core principle of TIRTL-seq is the parallel generation of hundreds of libraries providing multiple biological replicates from a single sample that allows precise inference of both frequencies of individual clones and TCR chain pairings from well-occurrence patterns. We demonstrate scalability of our approach up to 1 million unique paired [a]{beta}TCR clonotypes corresponding to over 30 million T cells per sample at a cost of less than $2000. For a sample of 10 million cells the cost is [~]$200. We benchmarked TIRTL-seq against state-of-the-art 5RACE bulk TCR-seq and 10x Genomics Chromium technologies on longitudinal samples. We show that TIRTL-seq is able to quantitatively identify expanding and contracting clonotypes between timepoints while providing accurate TCR chain pairings, including distinct temporal dynamics of SARS-CoV-2-specific and EBV-specific CD8+ T cell responses after infection. While clonal expansion was followed by sharp contraction for SARS-CoV-2 specific TCRs, EBV-specific TCRs remained stable once established. The sequences of both [a] and {beta} TCR chains are essential for determining T cell specificity. As the field moves towards greater applications in diagnostics and immunotherapy that rely on TCR specificity, we anticipate that our scalable paired TCR sequencing methodology will be instrumental for collecting large paired-chain datasets and ultimately extracting therapeutically relevant information from the TCR repertoire.

immunology↗