Summary: Full understanding of the pathophysiology of COVID-19 is critical for adequate treatment and development of vaccine and therapeutics. Although Golden hamster has been emerged as animal model of COVID-19, it is unknown how SARS-CoV-2 enters and infects targeted epithelial cells at molecular and cellular levels. Here, by applying single cell RNA sequencing in the upper respiratory tract, lung, kidney and intestine of golden hamster, we show that the expression profiles of host factors for SARS-CoV-2 infection in specific cell types are similar to that of human. These data can be applied to a larger investigation (data not provided here) into the expression patterns of host cell entry factors of SARS-CoV-2 in golden hamster organs
Overall Design: To investigate the expression patterns of host cell entry factors of SARS-CoV-2 in golden hamster organs. Single cells from dedicated organs were isolated and single-cell transcriptome libraries were generated
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Growth Protocol: | - |
Treatment Protocol: | - |
Extract Protocol: | After tissue preparation and cell digestion, single-cell suspensions were processed on the 10X chromium system following the manufacturer's protocols. |
Library Construction Protocol: | cDNA libraries were constructed using Chromium Single cell 3' v3 Reagent Kit (10X genomics) |
Molecule Type: | rRNA- RNA |
Library Source: | |
Library Layout: | PAIRED |
Library Strand: | - |
Platform: | ILLUMINA |
Instrument Model: | Illumina HiSeq X Ten |
Strand-Specific: | - |
Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
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