id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-203191-7ftg6bfx	Guo, Kai	Identification of Repurposal Drugs and Adverse Drug Reactions for Various Courses of Coronavirus Disease 2019 (COVID-19) Based on Single-cell RNA Sequencing Data	2020-05-16		.txt	text/plain	3729	184	43	title: Identification of Repurposal Drugs and Adverse Drug Reactions for Various Courses of Coronavirus Disease 2019 (COVID-19) Based on Single-cell RNA Sequencing Data To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS) project with publically available single-cell RNA sequencing dataset from mild and severe COVID-19 patients. We also collected a list of differentially expressed genes (DEGs) in SARS-CoV-2-infected lung BALF using a bulk RNA-Seq analysis to compare against the single-cell-based data. Repurposing analysis in severe COVID-19 patients 60 potent drugs were also selected in severe cases compared to controls (severe vs healthy group) according to their average CS between the replicates, and 25 of them involved in more than one cell subtype ( Figure 2B , Supplementary Tables S8 & S9) .	./cache/cord-203191-7ftg6bfx.txt	./txt/cord-203191-7ftg6bfx.txt