Single-cell RNA-Seq of airway samples of COVID-19 patients and healthy controls
This dataset comprises single-cell RNA-Seq data of nasopharyngeal, protected specimen brush, and bronchial lavage samples of 19 COVID-19 patients (eight moderate and eleven critical according to the WHO classification) and five healthy controls, for a total of 36 samples.
An in-depth description is presented in the manuscript "Cross-talk between the airway epithelium and activated immune cells defines severity in COVID-19" (https://www.medrxiv.org/content/10.1101/2020.04.29.20084327v1).
The data is uploaded as two .rds files of Seurat objects that can be imported into R. The _main file contains all samples from the nasopharynx, while the _loc file contains data from nasopharyngeal, protected specimen brush, and bronchial lavage samples of two patients.
A quantification of viral RNA reads (as CPM, in total over cells and background) is provided as .xlsx file. Please note that these values may differ from viral load estimates obtained from diagnostic procedures and may be less accurate.Raw count values (cellranger output) are provided in the file count_matrices_NBT.tar.

This dataset comprises single-cell RNA-Seq data of nasopharyngeal samples of 32 COVID-19 patients and 16 healthy controls, for a total of 48 samples. 25 COVID-19 patients and 10 controls were diagnosed with hypertension and treated with either ACE inhibitors (ACEi) or angiotensin receptor blockers(ARB) (SARS-CoV-2-positive: 10 ACEi and 15 ARB; SARS-CoV-2-negative: 6 ACEi and 4 ARB).
An in-depth description is presented in the manuscript "Delayed viral clearance and exacerbated airway hyperinflammation in hypertensive COVID-19 patients" (https://www.medrxiv.org/content/10.1101/2020.09.22.20199471v1).