Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators and co-option of cellular pathways.

Antonio J Pérez-Pulido Gualberto Asencio-Cortés Ana M Brokate-Llanos Gloria Brea Calvo Rosario Rodríguez-Griñolo Andrés Garzón Manuel Jesús Muñoz

Published in: bioRxiv : the preprint server for biology (2020)

ASACO identifies regulatory associations of genes using public transcriptomics data.ASACO highlights new cell functions likely involved in the infection of coronavirus.Comparison with high-throughput screenings validates candidates proposed by ASACO.Genes co-expressed with host's genes used by SARS-CoV-2 are related to stress granules.

Keyphrases

sars cov
high throughput
single cell
genome wide
genome wide identification
respiratory syndrome coronavirus
transcription factor
bioinformatics analysis
healthcare
dna methylation
stem cells
gene expression
genome wide analysis
emergency department
coronavirus disease
deep learning
bone marrow