Published October 1, 2020
| Version 2.0
Dataset
Open
Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection
Creators
- 1. Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia
- 2. National Research Center for Hematology, Moscow, Russia
- 3. Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France
- 4. Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
Description
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.
Notes
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
alpha.zip
Additional details
Related works
- Is supplement to
- Preprint: https://www.biorxiv.org/content/10.1101/2020.05.18.100545v3 (URL)
- Software: https://github.com/pogorely/Minervina_COVID (URL)