Dataset Open Access

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

Processed TCRbeta and TCRalpha repertoires after mild COVID-19 (Version 2.0: day 85 timepoints added) infection, see preprint: https://www.biorxiv.org/content/10.1101/2020.05.18.100545v3

and GitHub repository: https://github.com/pogorely/Minervina_COVID

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. 

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).
Files (1.1 GB)
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alpha.zip
md5:08d400e1621eb8ce2803c9b30c2366b6 		436.7 MB Download
beta.zip
md5:4b199d0e4bb3e3e925b91c8ee060e715 		674.9 MB Download
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Publication date:
October 1, 2020
DOI:
10.5281/zenodo.4065547

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10.5281/zenodo.4065547

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TCR RepSeq COVID
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Version 2.0 10.5281/zenodo.4065547 Oct 1, 2020
Version 1.0 10.5281/zenodo.3835956 May 20, 2020
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