Project description:We introduced single-chain trimer (SCT) technologies into a high throughput platform for pMHC library generation that can be used for screening antigen specific CD8+ T cells. We compared the diversity of T cell receptor repertoire captured by SCT and folded peptide-MHC multimer presenting HLA-A02:01 restricted CMV peptide. We then constructed SCT libraries designed to capture SARS-CoV-2 spike specific CD8+ T cells from COVID-19 participants and healthy donors. TCR sequencing with antigen specificity was analyzed. The immunogenicity of these epitopes was validated by functional assays of T cells with cloned TCRs captured using SCT libraries.
Project description:HLA-E molecules can present self and pathogen-derived peptides to both NK-cells and T-cells. T-cells that recognize HLA-E peptides via their T-cell receptor (TCR) are termed donor-unrestricted T-cells due to restricted allelic variation of HLA-E. The composition and repertoire of HLA-E TCRs is not known so far. We performed TCR sequencing on CD8+ T-cells from 21 individuals recognizing HLA-E tetramers (TM) folded with 2 Mtb HLA-E restricted peptides. We sorted HLA-E Mtb TM+ and TMCD8+ T-cells directly ex vivo and performed bulk RNA-sequencing and single cell TCR sequencing. The identified TCR repertoire was diverse and showed no conservation between and within individuals. TCRs selected from our single cell TCR sequencing data could be activated upon HLA-E/peptide stimulation, although not robust, reflecting potentially weak interactions between HLA-E peptide complexes and TCRs. Thus, HLA-E Mtb specific T-cells have a highly diverse TCR repertoire.
Project description:We used microarrays to determine how the quality and quantity of peptide-MHC impact TCR-induced gene expression in vivo. Adoptively transferred 5CC7 T cells were stimulated in vivo with different doses if two peptides: MCC peptide is a strong agonist and 102S peptide is a weak agonist for the 5CC7 TCR. After 48hours later, T cells were purified and gene expression was assessed using microarray.
Project description:We tested orphan TCR autoreactivity using the peptide MHC-TCR chimeric receptor (MCR) co-culture system. In this system, cognate antigen recognition leads to TCR specific NFAT activation in MCR reporter cells expressing a mouse I-Ab MHC class II extracellular domain covalently linked to candidate peptides and an intracellular TCR signaling domain. We used mixed autoimmune bone marrow chimera spleens and kidneys as sources of cDNA to generate a transcriptome-wide library of natural autoantigen peptides . We cloned this cDNA-derived peptide (CDP) autoantigen library into the MCR retroviral backbone and transduced NFAT reporter cells to make a murine autoantigen MCR reporter library (MCR-Lib). We then used this library to screen orphan TCRs identified by scTCR-seq for autoreactivity.
Project description:Atherosclerotic cardiovascular diseases are the major cause of death worldwide. CD4 T cells responding to Apolipoprotein B (ApoB), the core protein of most lipoproteins, have been identified as critical disease modulators. In healthy individuals, ApoB-reactive (ApoB+) CD4 T cells are mostly regulatory T cells (Tregs), which exert anti-inflammatory effects. Yet, they may obtain pro-inflammatory features and thus become proatherogenic. Evidence from animal studies suggests that vaccination against certain major histocompatibility complex (MHC) II-binding ApoB peptides induces an expansion of ApoB+ Tregs and thus confers atheroprotection. To date, in-depth phenotyping of vaccine-expanded ApoB+ T cells has not yet been performed. To this end, we vaccinated C57BL/6J mice with the ApoB-peptide P6 (ApoB978-993 TGAYSNASSTESASY) and performed single-cell RNA sequencing of tetramer-sorted P6+ T cells. P6+ cells were clonally expanded (one major, two minor clones) and formed a transcriptional cluster distinct from clusters mainly containing non-expanded P6+ and P6- cells. Transcriptomic profiling revealed that most expanded P6+ cells had a strong Treg signature and highly expressed genes mediating suppressive function. Yet, some expanded P6+ cells only had a residual Treg signature and expressed genes related to T helper 1 (TH1) cells, which are proatherogenic. Modeling the T cell receptor (TCR) and P6:MHC‐II interaction showed that only 3 amino acid residues in each the α and β chain contact the P6 peptide in the MHC-II groove and thus determine the specificity of this TCR to P6. Our data begin to reveal the vaccination-induced response to an ApoB epitope.
Project description:It is unknown how peptide-activated CD8 T cells that harbour different and distinct T cell receptors to the same MHC-epitope combination differ in terms of their transcriptional expression profile.
Project description:By using >36,000 immunogenicity assay results, we developed a method to identify peptide-MHC complexes whose structural alignment facilitates T cell reaction. Our method accurately predicted neoepitopes for MHC II as well as MHC I that were responsive to checkpoint blockade when applied to >1,200 samples of various tumor types and on-therapy melanoma samples. To investigate selection by spontaneous immunity at the single epitope level, we analyzed the frequency spectrum of >25 million mutations in >9,000 treatment-naïve tumors in association with >100 immune phenotypes. MHC II immunogenicity specifically lowered variant frequencies in tumors under high immune pressure particularly with high TCR clonality and MHC II expression.
Project description:Identification of CD8+ T-cell epitopes is critical for the development of immunotherapeutics. Existing methods for MHC-I ligand discovery are time-intensive, specialized and unable to interrogate specific proteins on a large scale. Here we present EpiScan, which uses surface MHC-I levels as a readout for whether a genetically encoded peptide is an MHC-I ligand. Oligonucleotide synthesis permits facile screening for MHC-I ligands amongst predetermined starting pools comprising >100,000 peptides. We exploit this programmability of EpiScan to uncover an unappreciated role for cysteine that increases the number of predicted ligands by 12-21%, reveal affinity hierarchies by analysis of biased-anchor peptide libraries, and screen viral proteomes for MHC-I ligands. Using these data, we generate and iteratively refine peptide binding prediction predictions to create EpiScan Predictor, or ESP. ESP performed comparably to other state-of-the-art MHC-I peptide binding prediction algorithms while not suffering from underrepresentation of cysteine-containing peptides. Thus, targeted immunopeptidomics using EpiScan will accelerate CD8+ T-cell epitope discovery towards the goal of patient-specific immunotherapeutics.