4065547
doi
10.5281/zenodo.4065547
oai:zenodo.org:4065547
user-covid-19
Ekaterina A. Komech
Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
Aleksei Titov
National Research Center for Hematology, Moscow, Russia
Meriem Bensouda Koraichi
Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France
Elisa Rosati
Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
Ilgar Z. Mamedov
Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
Andre Franke
Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
Grigory A. Efimov
National Research Center for Hematology, Moscow, Russia
Dmitriy M. Chudakov
Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
Thierry Mora
Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France
Aleksandra M. Walczak
Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France
Yury B. Lebedev
Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
Mikhail V. Pogorelyy
Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection
Anastasia A. Minervina
Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
url:https://www.biorxiv.org/content/10.1101/2020.05.18.100545v3
url:https://github.com/pogorely/Minervina_COVID
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
TCR
RepSeq
COVID
<p>Processed TCRbeta and TCRalpha repertoires after mild COVID-19 (Version 2.0: day 85 timepoints added) infection, see preprint: <a href="https://www.biorxiv.org/content/10.1101/2020.05.18.100545v3">https://www.biorxiv.org/content/10.1101/2020.05.18.100545v3</a></p>
<p>and GitHub repository: <a href="https://github.com/pogorely/Minervina_COVID">https://github.com/pogorely/Minervina_COVID</a></p>
<p>Two donors (M and W), two biological replicates of PBMC (F1 and F2), CD4+, CD8+, and Memory subpopulations for each post-infection time points (day 15, 30, 37, 45, 85 post-infection), and pre-infection PBMC repertoires sampled in 2019 and 2018. </p>
Demultiplexing and UMI-consenuses were done with migec (v. 1.2.7), alignments and assembly of UMI-consensuses into clonotypes performed with mixcr (v. 2.1.11).
Zenodo
2020-10-01
info:eu-repo/semantics/other
3835955
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public
https://www.biorxiv.org/content/10.1101/2020.05.18.100545v3
Is supplement to
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https://github.com/pogorely/Minervina_COVID
Is supplement to
url
10.5281/zenodo.3835955
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doi