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1539 SARS-CoV-2 genome-wide single-chain-trimer peptide-MHCs reveal CD8+ T cell landscape in COVID-19 patients and distinct TCR repertoire dynamics
  1. Jingyi Xie and
  2. James Heath
  1. Institute for Systems Biology, Seattle, WA, USA


Background Post-acute sequelae of COVID-19 (PASC), or long COVID, is the emergence of persistent symptoms following acute COVID-19. Detailed characterization of the immunological underpinnings of PASC remain elusive. This may be due to the difficulty in identifying and analyzing the antigen-specific cells that play key roles in the acute and long-term anti-viral immune responses. Prominent T cell epitopes have been reported to elicited CD8 T cell response during acute Sars-Cov-2 infection. However, the full spectrum of antigen-specific T cell response with in-depth multi-omits analysis is still unclear given the limited number of antigens being tested.

Methods To reveal the scale and full spectrum of SARS-Cov-2 specific CD8 T cell response in COVID-19, we experimentally scanned the complete SARS-CoV-2 genome sequence to generate mammalian expressed, single chain trimer peptide-MHC (pMHC) libraries presenting >500 predicted epitopes for HLA A*02:01.

Sars-Cov-2 Antigen specific CD8 T cells identified from individual patients from various disease severity comprised with contributions from multiple phenotypes lead us to integrate with the electronic healthy records (EHRs) to guide the interpretation of the molecular signatures of CD8 T cell response with clinical features including sex, age, disease severity, and lab measurements.

We longitudinally characterized CD8 T cells, including those specific for the full SARS-CoV-2-proteome, from 309 COVID-19 patients using single-cell proteomics, transcriptomics, epigenomics, and T cell receptor/antigen pairings.

Results High-throughput profiling of proteome-wide SARS-CoV-2-specific CD8+ T cells. We observed heterogeneity of SARS-CoV-2+ T cells across the virus genome in different patient.

Clonal tracking of Sars-CoV-2 CD8 T cells reveal phenotypic signatures of subset of long-lived T cell clones and their association with decreased PASC risk (figure 1).

Our multi-omics analyses suggest that SARS-CoV-2 specific CD8+ T cell clonotypes with regulated characteristics play an important role throughout the disease journey.

Conclusions We explore the large-scale application of soluble SCT peptide-MHC reagents expressed by mammalian cells, which enable the high-throughput analysis of antigen-specific CD8 T cells in a large cohort of clinical samples. In addition to the advanced biotechnology, we utilized single-cell multi-omics to study the dynamics of viral-antigen specific CD8+ cytotoxic T cell responses from the time point of initial COVID-19 diagnosis to convalescence 2–3 months later. We defined the spectrum of immunogenic epitopes from the entire genome of SARS-CoV-2 virus using SCT technology. We identified the regulated characteristics of SARS-CoV-2 specific CD8+ T cell clonotypes that protect patients against long COVID. This strategy can be adapted for vaccine design and evaluation, cancer neoantigen identification, and immunotherapy.

Acknowledgements We are grateful to all participants in this study and to the medical teams at Providence Swedish Medical Center and UW for their support. We thank the Northwest Genomic Center and Fred Hutchinson Cancer Research Center for help with sequencing services, and the ISB-Swedish COVID-19 Biobanking Unit.

We acknowledge funding support from the Parker Institute for Cancer Immunotherapy (J.R.H., P.D.G.), Merck, the M.J. Murdoch Charitable Trust, the Liesl and Jeff Wilke Foundation, the Biomedical Advanced Research and Development Authority (HHSO10201600031C to J.R.H.), the NIH (1 R01 CA264090-01 to J.R.H. and P.D.G, and CTSI UL1TR001881 to A.M.X). We are grateful to Mark Davis and Lewis Lanier for helpful discussions. We wish to thank John Heath and Dr. Alphonsus Ng, and all the colleagues from the Institute for Systems Biology for the technical support.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See

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