bioRxivBioinformaticsPreprint
Identifying Key Hub Genes that Attribute Varying Host Responses: A Longitudinal RNA-seq Analysis of SARS-CoV-2 Delta and Omicron Infections.
Deewan BajracharyaiD, Rick J. JanseniD, Changhui YaniD, Sheela RamamoorthyiD
Abstract
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 host immune responses to the Delta and Omicron variants using RNA-seq data from infected primary human airway epithelial cells. Both variants triggered a robust antiviral innate immune response by 2 days post-infection (dpi). However, Omicron was found to elicit a more rapid immune response, showing pathway enrichment at 1 dpi. In contrast, Delta displayed no immune-related pathway activation within the first 24 hours, suggesting it may evade early immune detection, promoting increased viral replication. By 3 dpi, Delta induced a more aggressive immune response, particularly in pathways related to cell death and pro-inflammatory signaling, such as "programmed cell death" and "regulation of cell death." Weighted gene co-expression network analysis revealed distinct immune-related genes: Delta infections were characterized by hub genes like MYD88 and IL1R1 involved in pro-inflammatory responses, HLA-A & B, NLRC5 and PSMB9 involved in antigen presentation and TNSF10 and IFR1 involved in pro-apoptotic processes. Conversely, Omicron infections were marked by hub genes such as CXCL1 and CXCL8 involved in immune cells recruitment, MET and LYN involved in reducing hyperinflammatory responses and maintaining immune balance, and IFI44, EIF2AK2 and IFIT5 responsible for the sensing of viral RNA among others.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Impact of variants and vaccination on nasal immunity across three waves of SARS-CoV-2
Jaclyn M. L. Walsh, Vincent N. Miao, … José Ordovás-Montañés·Nature ImmunologyPeer-reviewed·Jan 20, 2025
- Differential Responses of Lung and Intestinal Microbiota to SARS-CoV-2 Infection: A Comparative Study of the Wuhan and Omicron Strains in K18-hACE2 tg Mice
Chae Won Kim, Keun Bon Ku, … Heung Kyu Lee·Laboratory Animal ResearchPeer-reviewed·Apr 23, 2025
- Variant- and Vaccination-Specific Alternative Splicing Profiles in SARS-CoV-2 Infections
Sung‐Gwon Lee, Priscilla A. Furth, … Hye‐Kyung Lee·iSciencePeer-reviewed·Feb 8, 2024
- Comparison of SARS-CoV-2 variants of concern in primary human nasal cultures demonstrates Delta as most cytopathic and Omicron as fastest replicating
N. S. Tanneti, A. K. Patel, … S. R. Weiss·bioRxiv·Aug 24, 2023
- Evolutionary rewiring of host metabolism and interferon signalling by SARS-CoV-2 variants
Riaz‐Ali Somji, Jonathan C. Brown, … Efstathios S. Giotis·bioRxiv·Nov 15, 2025
- Global landscape of the host response to SARS-CoV-2 variants reveals viral evolutionary trajectories
Mehdi Bouhaddou, Ann‐Kathrin Reuschl, … Nevan J. Krogan·bioRxiv·Oct 19, 2022