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Single-cell RNA-sequencing data analysis reveals a highly correlated triphasic transcriptional response to SARS-CoV-2 infection

2022-06-03

Abstract excerpt

<h4>ABSTRACT</h4> Single-cells RNA sequencing (scRNA-seq) is currently one of the most powerful techniques available to study the transcriptional response of cells to external perturbations. However, the use of conventional bulked RNA-seq analysis methods can miss important patterns underlying in the scRNA-seq data. Here, we present a reanalysis of scRNA-seq data from human bronchial epithelial cells and colon an...

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Literature Corpus work
7e9abee1-9dbe-5ae7-8c31-d3c58d9628bd
DOI
10.1101/2022.06.03.494642
Open publication

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Single-cell RNA-sequencing data analysis reveals a highly correlated triphasic transcriptional response to SARS-CoV-2 infectionDOI 10.1101/2022.06.03.494642
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