five

Characterizing spatial and global host innate immune responses against SARS-CoV-1 and -2 infection in pathologically relevant human lung epithelial cells

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE255647
下载链接
链接失效反馈
官方服务:
资源简介:
Severe acute respiratory syndrome coronavirus-1 (SARS-CoV-1) and -2 (SARS-CoV-2) are beta-coronaviruses (β-CoVs) that have caused significant morbidity and mortality worldwide. Therefore, a better understanding of host responses to β-CoVs would provide insights into the pathogenesis of these viruses to identify potential targets for medical countermeasures. Our objective is to use a systems biology approach to explore the magnitude and scope of innate immune responses triggered by SARS-CoV-1 and -2 infection over time in pathologically relevant human lung epithelial cells (Calu-3/2B4 cells). Total RNA extracted at 12, 24, and 48 hours after β-CoVs infection of Calu-3/2B4 cells were subjected to RNA sequencing, bioinformatics, and functional enrichment analysis to select genes whose expressions were significantly modulated upon infection over time. The results of our study demonstrate that SARS-CoV-1 and -2 stimulate similar yet distinct innate antiviral signaling pathways in pathologically relevant human lung epithelial cells. Upregulated genes found at multiple time points regulated the viral life cycle, interferons, and interferon-stimulated genes (ISGs). Based on their profound modulation upon infection, we selected four ISGs, i.e., bone marrow stromal cell antigen 2 (BST2), Z-DNA Binding Protein 1 (ZBP1), C-X-C Motif Chemokine Ligand 11 (CXCL11), and Interferon Induced Transmembrane Protein 1 (IFITM1) for characterization as potential drug targets against β-CoVs. Calu-3/2B4 cells were subjected to SARS-CoV-1 or SARS-CoV-2 infection at a multiplicity of infection (MOI) of 1.0. Our controls were uninfected (mock infected) Calu-3/2B4 cells. At three different time points (12-, 24-, and 48-hours post-infection), we collected total RNA. Afterwards, gene expression profiling analysis of RNA-seq data was performed comparing SARS-CoV-1- and SARS-CoV-2-infected to mock-infected cells and SARS-CoV-1- to SARS-CoV-2-infected cells.
创建时间:
2025-02-05
二维码
社区交流群
二维码
科研交流群
商业服务