<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><dataset_type>N/A</dataset_type><full_dataset_link>https://ega-archive.org/datasets/EGAD00001011318</full_dataset_link><sample_count>13</sample_count><description>EGA dataset EGAD00001011318</description><repository>EGA</repository><title>Whole Transcriptome Analysis + AbSeq + Sample Tag Multiplexing</title></additional><is_claimable>false</is_claimable><name>2f9b5982-5bd4-4871-aaa7-fcf74705cb9c - samples</name><description>Multiomics data for a cohort of 20 COVID-19 patients (10 patients mild, 3 patients moderate, 4 patients severe, 3 patients critical) obtained from peripheral blood mononuclear cells (PBMCs) from longitudinally sampled at hospital admission, discharge, and 1 month thereafter. The data has been obtained a multiwell-based single-cell technology (BD Rhapsody) that includes the analysis of PBMCs' whole transcriptome and a set of 52 surface proteins. The samples of the different patients at different collection times were labelled using a cell hashing strategy with the BD Single-Cell Multiplexing Kit (6 samples for each run).</description><dates><updated>2023-09-22 11:49:55</updated></dates><accession>EGAD00001011318</accession><cross_references><TAXONOMY>9606</TAXONOMY><EGA>EGAC00001003405</EGA><EGA>EGAS00001007529</EGA></cross_references></HashMap>