Article

Identifying Key Hub Genes that Attribute Varying Host Responses: A Longitudinal RNA-seq Analysis of SARS-CoV-2 Delta and Omicron Infections

2025-06-24

Abstract excerpt

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has severely impacted global health, with different Variants of Concern (VOCs) resulting in varied clinical outcomes. Among these, the Delta and Omicron variants have drawn significant attention due to their distinct characteristics—Delta is associated with higher virulence and Omicron has greater transmissibility but reduced severity. This study compares...

Topics

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

Identifiers and source

Literature Corpus work: 74fdc50a-3dae-56c1-84d6-a1fccbf1b72f
DOI: 10.1101/2025.06.23.654375

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identifying Key Hub Genes that Attribute Varying Host Responses: A Longitudinal RNA-seq Analysis of SARS-CoV-2 Delta and Omicron InfectionsDOI 10.1101/2025.06.23.654375Read

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

Molecular signatures in the progression of COVID-19 severitySemantic proximity Read

Meta-Data Analysis to Explore the Hub of the Hub-Genes That Influence SARS-CoV-2 Infections Highlighting Their Pathogenetic Processes and Drugs RepurposingSemantic proximity Read

Targeting hub genes and pathways of innate immune response in COVID-19: A network biology perspectiveSemantic proximity Read

Co-evolution of SARS-CoV-2 variants and host immune response trajectories underlie COVID-19 pandemic to epidemic transitionSemantic proximity Read

Meta-analysis of virus-induced host gene expression reveals unique signatures of immune dysregulation induced by SARS-CoV-2Semantic proximity Read

Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 PandemicSemantic proximity Read

Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomesSemantic proximity Read

Bioinformatics analysis of single-cell mRNA-seq of SARS-CoV-1 and SARS-CoV-2 infection compared to MERS-CoV from Sequence Read Archive (SRA) database reveals novel targets for therapiesSemantic proximity Read

Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomesSemantic proximity Read

Weighted Gene Co-Expression Network Analysis Combined with Machine Learning Validation to Identify Key Modules and Hub Genes Associated with SARS-CoV-2 InfectionSemantic proximity Read

Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity across virusesSemantic proximity Read