Author: Tayaza Fadason; Sreemol Gokuladhas; Evgeniia Golovina; Daniel Ho; Sophie Farrow; Denis Nyaga; Hong Pan; Neerja Karnani; Conroy Wong; Antony Cooper; William Schierding; Justin M. O’Sullivan
Title: A transcription regulatory network within the ACE2 locus may promote a pro-viral environment for SARS-CoV-2 by modulating expression of host factors Document date: 2020_4_15
ID: 5r0u2mmo_16
Snippet: We used the CoDeS3D algorithm [23] to identify putative spatial regulatory interactions for all 110 SNPs at the ACE2 locus (S1 Fig). CoDeS3D integrates data on physical chromatin interactions 111 within the genome organization (captured by Hi-C) with tissue-specific gene expression data 112 to identify spatial expression quantitative trait loci (eQTLs). To get lung-specific spatial 113 connections, we identified SNP-gene pairs across lung-specifi.....
Document: We used the CoDeS3D algorithm [23] to identify putative spatial regulatory interactions for all 110 SNPs at the ACE2 locus (S1 Fig). CoDeS3D integrates data on physical chromatin interactions 111 within the genome organization (captured by Hi-C) with tissue-specific gene expression data 112 to identify spatial expression quantitative trait loci (eQTLs). To get lung-specific spatial 113 connections, we identified SNP-gene pairs across lung-specific Hi-C libraries using published 114 data for IMR90, A549, and NCI-H460 cell lines and lung tissue (GEO accession numbers 115 GSE35156, GSE43070, GSE63525, GSE105600, GSE105725, GSE92819, GSE87112, S1 116 The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.14.042002 doi: bioRxiv preprint
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