Back to search

Article

Integrated Transcriptomic Analysis Reveals Distinct Immune Response Signatures and Prognostic Biomarkers in SARS-CoV-2 Infection

2026-01-28

Abstract excerpt

<title>Abstract</title> <p>The COVID-19 pandemic continues to challenge global health systems, with persistent knowledge gaps regarding host immune responses to SARS-CoV-2 infection. Comprehensive transcriptomic profiling of peripheral blood mononuclear cells provides critical insights into molecular mechanisms underlying COVID-19 pathogenesis and may identify diagnostic biomarkers. This study performed integrati...

Topics

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

Identifiers and source

Literature Corpus work
d4ef5b33-d87e-5e99-b71e-1c6396f6fadf
DOI
10.21203/rs.3.rs-8462034/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrated Transcriptomic Analysis Reveals Distinct Immune Response Signatures and Prognostic Biomarkers in SARS-CoV-2 InfectionDOI 10.21203/rs.3.rs-8462034/v1
Identification of key molecules in COVID-19 patients significantly correlated with clinical outcomes by analyzing transcriptomic dataSemantic proximity
Transcriptomic dysregulations associated with SARS-CoV-2 infection in human nasopharyngeal and peripheral blood mononuclear cellsSemantic proximity
Dysregulated transcriptional responses to SARS-CoV-2 in the peripherySemantic proximity
Dysregulated transcriptional responses to SARS-CoV-2 in the periphery support novel diagnostic approachesSemantic proximity
Identification of PBMC-based molecular signature associational with COVID-19 disease severitySemantic proximity
Characterisation of the blood RNA host response underpinning severity in COVID-19 patientsSemantic proximity
Transcriptomics secondary analysis of severe human infection with SARS-CoV-2 identifies gene expression changes and predicts three transcriptional biomarkers in leukocytesSemantic proximity
Upregulated type I interferon responses in asymptomatic COVID-19 infection are associated with improved clinical outcomeSemantic proximity
Cell specific peripheral immune responses predict survival in critical COVID-19 patientsSemantic proximity
Characterisation of the blood RNA host response underpinning severity in COVID-19 patientsSemantic proximity
Identification of potentional immunological biomarkers of COVID-19 by blood transcriptome analysisSemantic proximity
Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysisSemantic proximity
Select a neighboring publication to make it the new centre.