RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus
APEX-seq
570
Medical Sciences
Histology
Epidemiology
Pneumonia, Viral
Medical Immunology
610
proximity labelling
Genome, Viral
viral RNA localization
Pathology and Forensic Medicine
Machine Learning
Databases
Betacoronavirus
Genetic
Models
Databases, Genetic
Medical Specialties
Medicine and Health Sciences
Humans
Clinical Epidemiology
Viral
Pandemics
double-membrane vesicle
COX4
Genome
Models, Genetic
SARS-CoV-2
Brief Report
COVID-19
hypothesis generation
Community Health and Preventive Medicine
Pneumonia
Cell Biology
Mitochondria
3. Good health
COVID-19 ; COX4 ; viral RNA localization ; APEX-seq ; proximity labelling ; machine learning model ; double-membrane vesicle ; SARS-CoV-2 ; hypothesis generation
RNA
RNA, Viral
Public Health
machine learning model
Coronavirus Infections
Cell Nucleolus
DOI:
10.1016/j.cels.2020.06.008
Publication Date:
2020-06-20T18:12:43Z
AUTHORS (5)
ABSTRACT
SARS-CoV-2 genomic and subgenomic RNA (sgRNA) transcripts hijack the host cell's machinery. Subcellular localization of its viral RNA could, thus, play important roles in viral replication and host antiviral immune response. We perform computational modeling of SARS-CoV-2 viral RNA subcellular residency across eight subcellular neighborhoods. We compare hundreds of SARS-CoV-2 genomes with the human transcriptome and other coronaviruses. We predict the SARS-CoV-2 RNA genome and sgRNAs to be enriched toward the host mitochondrial matrix and nucleolus, and that the 5' and 3' viral untranslated regions contain the strongest, most distinct localization signals. We interpret the mitochondrial residency signal as an indicator of intracellular RNA trafficking with respect to double-membrane vesicles, a critical stage in the coronavirus life cycle. Our computational analysis serves as a hypothesis generation tool to suggest models for SARS-CoV-2 biology and inform experimental efforts to combat the virus. A record of this paper's Transparent Peer Review process is included in the Supplemental Information.
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CITATIONS (108)
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