Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

SARS-CoV-2 Oropharyngeal and Nasopharyngeal samples

ABSTRACT: SARS-CoV-2 Oropharyngeal and Nasopharyngeal samples

PROVIDER: PRJNA699908 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

SARS-CoV-2 Oropharyngeal and Nasopharyngeal samples

Project description:Microbiome analysis of oropharyngeal and nasopharyngeal samples of SARS-CoV-2 infected patients

2021-02-06 | GSE166281 | GEO

Proteome Map of Human nasopharyngeal/oropharyngeal swab samples in VTM media following SARS-CoV-2 infection

Project description:A detailed proteomic analysis of the nasopharyngeal/oropharyngeal swab samples collected from normal individuals and individuals infected with SARS-CoV-2 involving high throughput quantitative (iTRAQ) proteomics analysis.

2022-12-22 | PXD032150 | Pride

Diagnostic Microbiology & Infectious Disease Rapid and sensitive detection of Sars-CoV-2 variants in nasopharyngeal swabs and wastewaters

Project description:The SARS-CoV-2 virus is continuously evolving, with appearance of new variants characterized by multiple genomic mutations, some of which can affect functional properties, including infectivity, interactions with host immunity, and disease severity. The rapid spread of new SARS-CoV-2 variants has highlighted the urgency to trace the virus evolution, to help limit its diffusion, and to assess effectiveness of containment strategies. We propose here a PCR-based rapid, sensitive and low-cost allelic discrimination assay panel for the identification of SARS-CoV-2 genotypes, useful for detection in different sample types, such as nasopharyngeal swabs and wastewater. The tests carried out demonstrate that this in-house assay, whose results were confirmed by SARS-CoV-2 whole-genome sequencing, can detect variations in up to 10 viral genome positions at once and is specific and highly sensitive for identification of all tested SARS-CoV-2 clades, even in the case of samples very diluted and of poor quality, particularly difficult to analyze.

2022-06-03 | E-MTAB-11261 | biostudies-arrayexpress

Host nasopharyngeal transcriptome analysis in a SARS-CoV-2 positive Italian cohort

Project description:The ongoing COVID-19 pandemic caused by SARS-CoV-2 has affected millions of people worldwide and has significant implications for public health. Host transcriptomics profiling provides comprehensive understanding of how the virus interacts with host cells and how the host responds to the virus. COVID-19 disease alters the host transcriptome, affecting cellular pathways and key molecular functions. To contribute to the global effort to understand the virus’s effect on host cell transcriptome, we have generated a dataset from nasopharyngeal swabs of 35 individuals infected with SARS-CoV-2 from the Campania region in Italy during the three outbreaks, with different clinical conditions. This dataset will help to elucidate the complex interactions among genes and can be useful in the development of effective therapeutic pathways

2023-05-25 | E-MTAB-13028 | biostudies-arrayexpress

Blood RNA-seq data from individuals during the UK Covid-19 lockdown, spanning sequential weeks from first PCR-confirmed SARS-CoV-2 infection, used to evaluate blood transcriptomic signatures of viral infection and identify host-response biomarkers of early SARS-CoV-2 infection

Project description:Healthcare workers were recruited at St Bartholomew’s Hospital, London, UK in the week of lockdown in the United Kingdom (between 23rd and 31st March 2020). Participants underwent weekly evaluation using a questionnaire and biological sample collection (including serological assays) for up to 16 weeks when attending for work and self-declared as fit to attend work at each visit, with further follow up samples collected at 24 weeks. Blood RNA sequencing data was to be used to identify host-response biomarkers of early SARS-CoV-2 infection, to evaluate existing blood transcriptomic signatures of viral infection, and to describe the underlying biology during SARS-CoV-2 infection. This submission includes a total of 172 blood RNA samples from 99 participants. Of these, 114 samples (including 16 convalescent samples collected 6 months after infection) were obtained from 41 SARS-CoV-2 cases, with the remaining 58 from uninfected controls. Participants with available blood RNA samples who had PCR-confirmed SARS-CoV-2 infection during follow-up were included as ‘cases’. Those without evidence of SARS-CoV-2 infection on nasopharyngeal swabs and who remained seronegative by both Euroimmun anti S1 spike protein and Roche anti nucleocapsid protein throughout follow-up were included as uninfected controls. ‘Cases’ include all available RNA samples, including convalescent samples at week 24 of follow-up for a subset of participants. For uninfected controls, we included baseline samples only. Sample class denotes weekly interval to positive SARS-CoV-2 PCR; non-infected controls (NIC); convalescent samples (Conv)_.

2021-07-07 | E-MTAB-10022 | biostudies-arrayexpress

SHAE004: SARS-CoV, SARS-dORF6 and SARS-BatSRBD infection of HAE cultures.

Project description:HAE cultures were infected with SARS-CoV, SARS-dORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV, SARS-dORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate for RNA Triplicates are defined as 3 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2 for SARS viruses and an MOI of 1 for H1N1.

2013-07-31 | E-GEOD-47962 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (metagenomics NS).

Project description:In this study, we tested the efficacy of five commercial probes panels at detecting SARS-CoV-2 genome including panels from Illumina, Twist Bioscience and Arbor Bioscience. To do so, we used 19 patient nasal swab samples broken down into 5 series of 4 samples of equivalent SARS-CoV-2 viral load (cycle threshold (CT): low CT means a high viral load – CT26, CT29, CT32, CT35 and CT36+).

2022-06-01 | E-MTAB-11236 | biostudies-arrayexpress

SHAE002: SARS-CoV, SARS-dORF6 and SARS-BatSRBD infection of HAE cultures.

Project description:HAE cultures were infected with SARS-CoV, SARS-dORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV, SARS-dORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate or quadruplicate for RNA Triplicates/quadruplicates are defined as 3/4 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2.

2013-07-31 | E-GEOD-47960 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (twist panviral NS).

2022-06-01 | E-MTAB-11237 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (arbo double ms) .

2022-06-01 | E-MTAB-11232 | biostudies-arrayexpress