Severe acute respiratory syndrome coronavirus 2 strain:Covid 19 | isolate:Nasopharyngeal (NP) swab
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA670222 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12851384.fastq.gz | Fastqsanger.gz | |||
| SRR12851390.fastq.gz | Fastqsanger.gz |
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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
Project description:<p><strong>INTRODUCTION:</strong> COVID-19 has become a global impediment by bringing everything to a halt starting from January 2020. India underwent the lockdown starting from 22nd March 2020 with the sudden spike in the number of COVID-19 patients in major cities and states. This study focused on how metabolites play a crucial role in SARSCoV-2 prognosis.</p><p><strong>MATERIALS AND METHODS:</strong> Metabolome profiling of 106 plasma samples and 24 swab samples from symptomatic patients in the Indian population of the Mumbai region was done. COVID-19 positive samples were further segregated under the non-severe COVID-19 and severe COVID-19 patient cohort for both plasma and swab.</p><p><strong>RESULTS:</strong> After analyzing the raw files, total 7,949 and 12,871 metabolites in plasma and swab were found. 11 and 35 significantly altered metabolites were found in COVID-19 positive compared to COVID-19 negative plasma and swab samples, respectively. Also, 9 and 23 significantly altered metabolites were found in severe COVID-19 positive to non-severe COVID-19 positive plasma and swab samples, respectively. The majorly affected pathways in COVID-19 patients were found to be the amino acid metabolism pathway, sphingosine metabolism pathway, and bile salt metabolism pathway.</p><p><strong>CONCLUSION:</strong> This study facilitates identification of potential metabolite-based biomarker candidates for rapid diagnosis and prognosis for clinical applications.</p><p><br></p><p><strong>Nasopharyngeal swab assay</strong> is reported in the current study <strong>MTBLS2349</strong>.</p><p><strong>Blood plasma assay</strong> is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS2291' rel='noopener noreferrer' target='_blank'><strong>MTBLS2291</strong></a>.</p>
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Project description:The ongoing SARS-CoV-2 pandemic and subsequent demand for viral testing worldwide has led to major issues in scaling the efforts of diagnostic labs and even in securing basic supplies for collection and processing of samples. This has in turn led to worldwide efforts by the scientific community to establish improved protocols that are cheaper, more scalable, and not as resource intensive. One such effort resulted in an assay called “Swab-Seq”, which was so named because it was originally developed to work with dry nasal swab samples, but is actually flexible in terms of the sample type it can accommodate for testing. The assay adapts the existing gold standard (RNA extracted from a nasopharyngeal (NP) swab that is subjected to quantitative reverse transcription polymerase chain reaction, “qRT-PCR”) to a next-generation sequencing readout. By pairing this modification with extraction-free sampling techniques it is possible to achieve high scalability at low cost per sample, and a reasonable turnaround time for reporting results. We evaluated the effectiveness of this assay both on samples collected from asymptomatic individuals using the traditional NP swab and using alternative extraction-free sampling techniques, including saliva and a saline mouth gargle protocol, and found the assay to be highly sensitive (comparable to the standard qRT-PCR assay), flexible (adaptable to saliva and gargle samples stored at room temperature up to a week), and scalable (easily accommodating hundreds of samples at a time). Continued development in the future will lead to more effective testing regimes that reduce the burden of transmissible respiratory infections on the global community.
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Project description:We sought to characterize the host response through proteome profiling of nasopharyngeal swab specimens. A mass spectrometer combining trapped ion mobility spectrometry and high-resolution QTOF mass spectrometer with a parallel accumulation-serial fragmentation (PASEF) was deployed for unbiased proteome profiling. First, deep proteome profiling of nasopharyngeal swabs was performed in PASEF-DDA mode, which identified 7,723 proteins and 102,392 peptides that were then used for constructing a spectral library. Subsequently, quantitative proteome profiling was carried out for 90 nasopharyngeal swab samples in diaPASEF mode which resulted in 5,023 protein identifications. Functional analysis revealed two significant features of biological processes of innate immune response and viral life cycle. Overall, we provide the in-depth proteome record from nasopharyngeal swab samples and suggest relevant host response along with proteins playing a pivotal role against viral infection, which would assist for mining promising drug targets in the future.
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Project description:To elucidate key pathways in the host transcriptome of patients infected with SARS-CoV-2, we used RNA sequencing (RNA Seq) to analyze nasopharyngeal (NP) swab and whole blood (WB) samples from 333 COVID-19 patients and controls, including patients with other viral and bacterial infections. Analyses of differentially expressed genes (DEGs) and pathways was performed relative to other infections (e.g. influenza, other seasonal coronaviruses, bacterial sepsis) in both NP swabs and WB. Comparative COVID-19 host responses between NP swabs and WB were examined. Both hospitalized patients and outpatients exhibited upregulation of interferon-associated pathways, although heightened and more robust inflammatory and immune responses were observed in hospitalized patients with more clinically severe disease. A two-layer machine learning-based classifier, run on an independent test set of NP swab samples, was able to discriminate between COVID-19 and non-COVID-19 infectious or non-infectious acute respiratory illness using complete (>1,000 genes), medium (<100) and small (<20) gene biomarker panels with 85.1%-86.5% accuracy, respectively. These findings demonstrate that SARS-CoV-2 infection has a distinct biosignature that differs between NP swabs and WB and can be leveraged for differential diagnosis of COVID-19 disease.
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