Severe acute respiratory syndrome coronavirus 2
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA720544 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Severe acute respiratory syndrome virus (SARS-CoV) that lacks the envelope (E) gene (rSARS-CoV-ΔE) is attenuated in vivo [1,2]. To identify factors that contribute to rSARS-CoV-ΔE attenuation, gene expression in cells infected by SARS-CoV with or without E gene was compared. Twenty-five stress response genes were preferentially upregulated during infection in the absence of the E gene. In addition, genes involved in signal transduction, transcription, cell metabolism, immunoregulation, inflammation, apoptosis and cell cycle and differentiation were differentially regulated in cells infected with rSARS-CoV with or without the E gene. Administration of E protein in trans reduced the stress response in cells infected with rSARS-CoV-ΔE, with respiratory syncytial virus, or treated with drugs, such as tunicamycin and thapsigarcin that elicit cell stress by different mechanisms. In addition, SARS-CoV E protein down-regulated the signaling pathway inositol-requiring enzyme 1 (IRE-1) of the unfolded protein response, but not the PKR-like ER kinase (PERK) or activating transcription factor 6 (ATF-6) pathways, and reduced cell apoptosis. Overall, the activation of the IRE-1 pathway was not able to restore cell homeostasis, and apoptosis was induced probably as a meassure to protect the host by limiting virus production and dissemination. The expression of proinflammatory cytokines was reduced in rSARS-CoV-ΔE-infected cells compared to rSARS-CoV-infected cells, suggesting that the increase in stress responses and the reduction of inflammation in the absence of the E gene contributed to the attenuation of rSARS-CoV-ΔE. We used Affymetrix microarrays (Human Genome U133 plus 2.0) to compare global gene expression between SARS-CoV-infected, mock-infected and SARS-CoV-ΔE-infected cells. For ech type of sample three hybridizations were carried-out (independent biological replicates).
2012-06-20 | E-GEOD-30589 | biostudies-arrayexpress
Project description:SARS-CoV-2 infections and COVID-19 vaccine effectiveness in the households
| PRJNA818285 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in Manitoba, Canada during the COVID-19 outbreak
| PRJNA669043 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in Quebec, Canada during the COVID-19 outbreak.
| PRJNA686074 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in Ontario, Canada during the COVID-19 outbreak.
| PRJNA682395 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in Alberta, Canada during the COVID-19 outbreak.
| PRJNA682397 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in British Columbia, Canada during the COVID-19 outbreak.
| PRJNA699623 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in Nova Scotia, Canada during the COVID-19 outbreak.
| PRJNA669513 | ENA
Project description:SARS-CoV-2 genomic data and descriptive metadata from primary specimens collected in New Brunswick, Canada during the COVID-19 outbreak.
| PRJNA675109 | ENA
Project description:The ongoing pandemic of coronavirus disease 2019 (COVID-19), which results from the rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a significant global public health threat, with molecular mechanisms underlying its pathogenesis largely unknown. Small non-coding RNAs (sncRNAs) are known to play important roles in almost all biological processes. In the context of viral infections, sncRNAs have been shown to regulate the host responses, viral replication, and host-virus interaction. Compared with other subfamilies of sncRNAs, including microRNAs (miRNAs) and Piwi-interacting RNAs (piRNAs), tRNA-derived RNA fragments (tRFs) are relatively new and emerge as a significant regulator of host-virus interactions. Using T4 PNK‐RNA‐seq, a modified next‐generation sequencing (NGS), we recently found that nasopharyngeal swabs (NPS) samples from SARS-CoV-2 positive and negative subjects show a significant difference in sncRNA profiles. There are about 166 SARS-CoV- 2-impacted sncRNAs. Among them, tRFs are the most significantly affected and almost all impacted tRFs are derived from the 5’-end of tRNAs (tRF5). Using a modified qRT-PCR, which was recently developed to specifically quantify tRF5s by isolating the tRF signals from its corresponding parent tRNA signals, we validated that tRF5s derived from tRNA GluCTC (tRF5-GluCTC), LysCTT (tRF5-LysCTT), ValCAC (tRF5-ValCAC), CysGCA (tRF5-CysGCA) and GlnCTG (tRF5-GlnCTG) are enhanced in NPS samples of SARS-CoV2 patients and SARS-CoV2-infected airway epithelial cells. In addition to host-derived ncRNAs, we also identified several sncRNAs derived from the virus (svRNAs), among which a svRNA derived from CoV2 genomic site 346 to 382 (sv-CoV2-346) has the highest expression. The induction of both tRFs and sv-CoV2-346 has not been reported previously, as the lack of the 3’-OH ends of these sncRNAs prevents them to be detected by routine NGS. In summary, our studies demonstrated the involvement of tRFs in COVID-19 and revealed new CoV2 svRNAs.
2022-03-01 | GSE193555 | GEO