Author: Ellinger, Bernhard; Bojkova, Denisa; Zaliani, Andrea; Cinatl, Jindrich; Claussen, Carsten; Westhaus, Sandra; Keminer, Oliver; Reinshagen, Jeanette; Kuzikov, Maria; Wolf, Markus; Geisslinger, Gerd; Gribbon, Philip; Ciesek, Sandra
                    Title: A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection  Cord-id: 27x19u87  Document date: 2021_2_26
                    ID: 27x19u87
                    
                    Snippet: SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The primary screen identified 258 hits that inhibited cytopathicity by more than 75%, most of which were not previously known to be active against SARS-CoV-2 in vitro. These compounds were tested in an eight-point dose response screen using the same image-based cytopathicity readout. For the 67 most active molecules, cytotoxicity data were generated to confirm activity against SARS-CoV-2. We verified the ability of known inhibitors camostat, nafamostat, lopinavir, mefloquine, papaverine and cetylpyridinium to reduce the cytopathic effects of SARS-CoV-2, providing confidence in the validity of the assay. The high-content screening data are suitable for reanalysis across numerous drug classes and indications and may yield additional insights into SARS-CoV-2 mechanisms and potential therapeutic strategies.
 
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