Article

Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms

2021-06-21

Abstract excerpt

<h4>SUMMARY</h4> COVID-19 has caused millions of deaths globally, yet the cellular mechanisms underlying the various effects of the disease remain poorly understood. Recently, a new analytical platform for comprehensive analysis of plasma protein profiles using proximity extension assays combined with next generation sequencing has been developed. Here, we describe the analysis of the plasma profiles of COVID-19 p...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1dde1fbc-182c-5168-9000-e884a5845f60
DOI: 10.1101/2021.06.15.21258940

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptomsDOI 10.1101/2021.06.15.21258940Read

Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptomsSemantic proximity Read

Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patientsSemantic proximity Read

Analysis of inflammatory protein profiles in the circulation of COVID-19 patients identifies patients with severe disease phenotypesSemantic proximity Read

Precise blood proteome profiling in an undiagnosed population with COVID-19Semantic proximity Read

Plasma proteomics identify potential severity biomarkers from COVID‐19 associated networkSemantic proximity Read

COVID-19 severity is associated with immunopathology and multi-organ damageSemantic proximity Read

Analysis of inflammatory protein profiles in the circulation of COVID-19 patients identifies patients with severe disease phenotypes.Semantic proximity Read

Acute COVID-19 gene-expression profiles show multiple etiologies of long-term sequelaeSemantic proximity Read

Mapping the Serum Proteome of COVID-19 Patients; Guidance for Severity AssessmentSemantic proximity Read

In Silico transcriptional analysis of asymptomatic and severe COVID-19 patients reveals the susceptibility of severe patients to other comorbidities and non-viral pathological conditionsSemantic proximity Read

Longitudinal peripheral blood transcriptional analysis of COVID-19 patients captures disease progression and reveals potential biomarkersSemantic proximity Read

Proteome reveals antiviral host response and NETosis during acute COVID-19 in high-risk patientsSemantic proximity Read