COVID-19 and iReceptor

In collaboration with the AIRR Community and in response to the AIRR Community's call for sharing COVID-19 related AIRR-seq data the iReceptor Project and iReceptor Plus projects have prepared an iReceptor Turnkey Repository and the project team is curating public COVID-19 data in an AIRR COVID-19 repository on behalf of the community. In addition, we are working with our partners at VDJServer to curate other COVID-19 data. This COVID-19 data is part of the AIRR Data Commons and is searchable using the iReceptor Gateway.

If you have or know of any public COVID-19 AIRR-seq data please contact us at If you are interested in tracking the research on COVID-19, and in particular those studies that are producing AIRR-seq data, please follow along on the Wiki on COVID-19 public data. This area is evolving fast, so please let us know if there are any papers or data sets available.

AIRR-seq data from the following papers are available in the AIRR Data Commons:

  1. Nielsen, S. et al. B cell clonal expansion and convergent antibody responses to SARS-CoV-2. Cell Host & Microbe DOI Research Square Preprint. DOI.
  2. Minervina, A. et al. Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection. bioRxiv (Preprint). DOI.
  3. Galson, J. et al. Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures. bioRxiv (Preprint). DOI.
  4. Liao, M. et al. Single-cell Landscape of Bronchoalveolar Immune Cells in Patients With COVID-19, Nature Medicine, 26, 842-844, 2020. DOI.
  5. Schultheiß et al. Next Generation Sequencing of T and B cell receptor repertoires from COVID-19 patients showed signatures associated with severity of disease, Immunity (2020) DOI.
  6. Shomuradova et al. SARS-CoV-2 epitopes are recognized by a public and diverse repertoire of human T-cell receptors, medRxiv (Preprint). DOI.
  7. Alsoussi, W. et al. A Potently Neutralizing Antibody Protects Mice against SARS-CoV-2 Infection. J. Immunol. 2020. DOI.
  8. Kim, S et al. Stereotypic Neutralizing VH Clonotypes Against SARS-CoV-2 RBD in COVID-19 Patients and the Healthy Population. bioRxiv (Preprint). DOI.
  9. Kuri-Cervantes, L. et al. Comprehensive mapping of immune perturbations associated with severe COVID-19. Science Immunology (2020). DOI.
  10. Nolan et al. A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2. ResearchSquare (Preprint). DOI.
    • Note: This data comes from the Adaptive ImmuneRace project, and is represented as 7 studies in the AIRR Data Commons, a different study for each of the data sets from the independent data sources in the ImmuneRace project. 

Details on the provenance of the iReceptor curated AIRR COVID-19 data can be found on the Repository Provenance page.