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Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection

Anastasia A. Minervina; Ekaterina A. Komech; Aleksei Titov; Meriem Bensouda Koraichi; Elisa Rosati; Ilgar Z. Mamedov; Andre Franke; Grigory A. Efimov; Dmitriy M. Chudakov; Thierry Mora; Aleksandra M. Walczak; Yury B. Lebedev; Mikhail V. Pogorelyy


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{
  "description": "<p>Processed TCRbeta and TCRalpha repertoires after mild COVID-19 infection,&nbsp;see&nbsp;preprint:&nbsp;<a href=\"https://www.biorxiv.org/content/10.1101/2020.05.18.100545v1\">https://www.biorxiv.org/content/10.1101/2020.05.18.100545v1</a></p>\n\n<p>and GitHub repository:&nbsp;<a href=\"https://github.com/pogorely/Minervina_COVID\">https://github.com/pogorely/Minervina_COVID</a></p>\n\n<p>Two donors (M and W), two biological replicates of PBMC&nbsp;(F1 and F2), CD4+, CD8+, and Memory subpopulations&nbsp;for each post-infection time points (day 15, 30, 37, 45 post-infection), and pre-infection PBMC repertoires sampled in 2019 and 2018.&nbsp;</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia", 
      "@type": "Person", 
      "name": "Anastasia A. Minervina"
    }, 
    {
      "affiliation": "Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia", 
      "@type": "Person", 
      "name": "Ekaterina A. Komech"
    }, 
    {
      "affiliation": "National Research Center for Hematology, Moscow, Russia", 
      "@type": "Person", 
      "name": "Aleksei Titov"
    }, 
    {
      "affiliation": "Laboratoire de physique de l'\u00c9cole normale sup\u00e9rieure, PSL, Sorbonne Universit\u00e9\u0301, Universit\u00e9 de Paris, and CNRS, Paris, France", 
      "@type": "Person", 
      "name": "Meriem Bensouda Koraichi"
    }, 
    {
      "affiliation": "Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany", 
      "@type": "Person", 
      "name": "Elisa Rosati"
    }, 
    {
      "affiliation": "Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia", 
      "@type": "Person", 
      "name": "Ilgar Z. Mamedov"
    }, 
    {
      "affiliation": "Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany", 
      "@type": "Person", 
      "name": "Andre Franke"
    }, 
    {
      "affiliation": "National Research Center for Hematology, Moscow, Russia", 
      "@type": "Person", 
      "name": "Grigory A. Efimov"
    }, 
    {
      "affiliation": "Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia", 
      "@type": "Person", 
      "name": "Dmitriy M. Chudakov"
    }, 
    {
      "affiliation": "Laboratoire de physique de l'\u00c9cole normale sup\u00e9rieure, PSL, Sorbonne Universit\u00e9\u0301, Universit\u00e9 de Paris, and CNRS, Paris, France", 
      "@type": "Person", 
      "name": "Thierry Mora"
    }, 
    {
      "affiliation": "Laboratoire de physique de l'\u00c9cole normale sup\u00e9rieure, PSL, Sorbonne Universit\u00e9\u0301, Universit\u00e9 de Paris, and CNRS, Paris, France", 
      "@type": "Person", 
      "name": "Aleksandra M. Walczak"
    }, 
    {
      "affiliation": "Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia", 
      "@type": "Person", 
      "name": "Yury B. Lebedev"
    }, 
    {
      "affiliation": "Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia", 
      "@type": "Person", 
      "name": "Mikhail V. Pogorelyy"
    }
  ], 
  "url": "https://zenodo.org/record/3835956", 
  "datePublished": "2020-05-20", 
  "version": "1.0", 
  "keywords": [
    "TCR", 
    "RepSeq", 
    "COVID"
  ], 
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  "identifier": "https://doi.org/10.5281/zenodo.3835956", 
  "@id": "https://doi.org/10.5281/zenodo.3835956", 
  "@type": "Dataset", 
  "name": "Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection"
}
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