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

Authors: Anastasia A. Minervina; Ekaterina A. Komech; Aleksei Titov; Meriem Bensouda Koraichi; Elisa Rosati; Ilgar Z. Mamedov; Andre Franke; +6 Authors

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

Abstract

Processed TCRbeta and TCRalpha repertoires after mild COVID-19 infection, see preprint: https://www.biorxiv.org/content/10.1101/2020.05.18.100545v1 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 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).

Keywords

RepSeq, TCR, COVID

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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