Expansion of Single Cell Transcriptomics Data of SARS-CoV Infection in Human Bronchial Epithelial Cells to COVID-19.

Reza Zolfaghari EmamehHassan NosratiMahyar EftekhariReza FalakMajid Khoshmirsafa

Published in: Biological procedures online (2020)

Based on the high similarity percentage of the transcriptome of SARS-CoV with SARS-CoV-2, the data of immunological regulations, signaling pathways, and proinflammatory cytokines in SARS-CoV infection can be expanded to COVID-19 to have a valid platform for future pharmaceutical and vaccine studies.

Keyphrases

sars cov
respiratory syndrome coronavirus
single cell
rna seq
coronavirus disease
high throughput
electronic health record
endothelial cells
signaling pathway
big data
gene expression
pluripotent stem cells
induced pluripotent stem cells
pi k akt
machine learning
cell proliferation
oxidative stress