调节器
免疫系统
转录组
免疫学
恶化
生物
哮喘
屋尘螨
基因沉默
小干扰RNA
核糖核酸
基因
过敏原
基因表达调控
遗传学
过敏
基因表达
作者
Xiaojie Liu,Keilah G. Netto,Leon A. Sokulsky,Lujia Zhou,Honglei Xu,Chi Liu,Ming Wang,Huaqi Wang,Hui Li,Guojun Zhang,Paul S. Foster,Fuguang Li,Ming Yang
标识
DOI:10.1038/s41385-022-00556-1
摘要
Immune responses that result in asthma exacerbation are associated with allergen or viral exposure. Identification of common immune factors will be beneficial for the development of uniformed targeted therapy. We employed a House Dust Mite (HDM) mouse model of asthma and challenged allergic HDM mice with allergens (HDM, cockroach extract (CRE)) or respiratory syncytial virus (RSV). Purified lung immune cells underwent high-dimensional single-cell RNA deep sequencing (scRNA-seq) to generate an RNA transcriptome. Gene silencing with siRNA was employed to confirm the efficacy of scRNA-seq analysis. scRNA-seq UMAP analysis portrayed an array of cell markers within individual immune clusters. SCENIC R analysis showed an increase in regulon number and activity in CD11b- DC cells. Analysis of conserved regulon factors further identified Creb5 as a shared regulon between the exacerbation groups. Creb5 siRNAs attenuated HDM, CRE or RSV-induced asthma exacerbation. scRNA-seq multidimensional analysis of immune clusters identified gene pathways that were conserved between the exacerbation groups. We propose that these analyses provide a strong framework that could be used to identify specific therapeutic targets in multifaceted pathologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI