Author: Allen Wang; Joshua A Chiou; Olivier B Poirion; Justin Buchanan; Michael J Valdez; Jamie M Verheyden; Xiaomeng Hou; Minzhe Guo; Jacklyn M Newsome; Parul Kudtarkar; Dina A Faddah; Kai Zhang; Randee E Young; Justinn Barr; Ravi Misra; Heidie Huyck; Lisa Rogers; Cory Poole; Jeffery A Whitsett; Gloria Pryhuber; Yan Xu; Kyle J Gaulton; Sebastian Preissl; Xin Sun
Title: Single Nucleus Multiomic Profiling Reveals Age-Dynamic Regulation of Host Genes Associated with SARS-CoV-2 Infection Document date: 2020_4_14
ID: 5kvq6jtx_15
Snippet: To investigate cis-regulatory elements driving cell-type specific and age-related 296 patterns of SARS-CoV-2 viral entry gene expression, we examined snATAC-seq data 297 generated from the same nuclei preparations. After batch correction and filtering of low-298 quality nuclei and likely doublets, we clustered and analyzed a total of 90,980 single 299 nucleus accessible chromatin profiles. We identified 19 clusters representing epithelial 300 (AT.....
Document: To investigate cis-regulatory elements driving cell-type specific and age-related 296 patterns of SARS-CoV-2 viral entry gene expression, we examined snATAC-seq data 297 generated from the same nuclei preparations. After batch correction and filtering of low-298 quality nuclei and likely doublets, we clustered and analyzed a total of 90,980 single 299 nucleus accessible chromatin profiles. We identified 19 clusters representing epithelial 300 (AT2, AT2, club, ciliated, basal and neuroendocrine), mesenchymal (myofibroblast, 301 pericyte, matrix fibroblast 1 and matrix fibroblast 2), endothelial (arterial, lymphatic, and 302 2 clusters of capillaries), and hematopoietic cell types (macrophage, B-cell, T-cell, NK cell 303 and enucleated erythrocyte) ( Figure 2A ). Supporting these cluster annotations, we 304 observed cell type-specific patterns of chromatin accessibility at known marker genes for 305 each cell type ( Figure S5A ). 306
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