Unknown

Dataset Information

0

Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis.


ABSTRACT: The novel betacoronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a worldwide pandemic (COVID-19) after emerging in Wuhan, China. Here we analyzed public host and viral RNA sequencing data to better understand how SARS-CoV-2 interacts with human respiratory cells. We identified genes, isoforms and transposable element families that are specifically altered in SARS-CoV-2-infected respiratory cells. Well-known immunoregulatory genes including CSF2, IL32, IL-6 and SERPINA3 were differentially expressed, while immunoregulatory transposable element families were upregulated. We predicted conserved interactions between the SARS-CoV-2 genome and human RNA-binding proteins such as the heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) and eukaryotic initiation factor 4 (eIF4b). We also identified a viral sequence variant with a statistically significant skew associated with age of infection, that may contribute to intracellular host-pathogen interactions. These findings can help identify host mechanisms that can be targeted by prophylactics and/or therapeutics to reduce the severity of COVID-19.

SUBMITTER: Ferrarini MG 

PROVIDER: S-EPMC8128904 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

2023-08-08 | GSE209750 | GEO
| S-SCDT-EMBOJ-2021-107776 | biostudies-other
| S-EPMC8123524 | biostudies-literature
2023-08-11 | GSE215433 | GEO
2014-10-31 | E-GEOD-52920 | biostudies-arrayexpress
| S-EPMC7457603 | biostudies-literature
| S-EPMC8293742 | biostudies-literature
| S-EPMC7286221 | biostudies-literature
2022-10-08 | GSE189920 | GEO
| S-EPMC7205519 | biostudies-literature