Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
게놈 전반에 걸친 생물정보학 분석으로 SARS-CoV-2 발병의 주요 숙주 및 바이러스 요인 예측
Article
[키워드] acute respiratory syndrome
acute respiratory syndrome coronavirus
age
Analysis
analyzed
Betacoronavirus
caused
Computational biology and bioinformatics
conserved
contribute
coronavirus
COVID-19
CSF2
differentially expressed
eIF4b
eukaryotic
Factor
Genes
help
heterogeneous
hnRNPA1
Host
host gene expression
host response
host–pathogen interactions
human gene
human genes
human respiratory cell
human respiratory cells
identify
IL-6
IL32
Infection
initiation factor
interact
Interaction
isoform
isoforms
life cycle
mechanism
novel Betacoronavirus
nuclear
predict
predicted
Protein
reduce
respiratory
respiratory cells
ribonucleoprotein
RNA
SARS-CoV-2
SARS-CoV-2 genome
SARS-COV-2 infection
SARS-CoV-2 pathogenesis
sequence
sequencing data
SERPINA3
severe acute respiratory syndrome Coronavirus
severity of COVID-19
statistically significant
the SARS-CoV-2 genome
Therapeutics
transcriptomics
transposable element
upregulated
variant
Viral
viral genome sequence
viral infection
viral life cycle
Viral RNA
worldwide pandemic
Wuhan
Wuhan, China
[DOI] 10.1038/s42003-021-02095-0 PMC 바로가기 [Article Type] Article
[DOI] 10.1038/s42003-021-02095-0 PMC 바로가기 [Article Type] Article