five

Identification of candidate rhinovirus C (RV-C) receptors by gene expression analysis

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61396
下载链接
链接失效反馈
官方服务:
资源简介:
Members of rhinovirus C (RV-C) species are more likely to cause wheezing illnesses and asthma exacerbations compared to other rhinoviruses. The cellular receptor for these viruses was heretofore unknown. We measured gene expression (Human Gene 1.0 ST Array, Affymetrix) in two series of experiments involving cells that were either susceptible or not susceptible to RV-C infection. In one experimental series, susceptible cells included whole sinus mucosal tissue specimens (n = 5), epithelial cell suspension from sinus tissue, and nasal epithelium obtained via brushing, while non-susceptible cells included monolayers of primary undifferentiated epithelial cells and transformed cell lines (n = 5). In a second experimental series, we compared three pairs of undifferentiated and fully differentiated (ALI) sinus epithelial cell cultures. We identified a total of 12 genes upregulated in RV-C susceptible cells (represented by 14 probe sets) encoding proteins localized to plasma membrane, and/or with predicted or functionally demonstrated receptor activity, including members of the Human MHC class II, stomatin, guanine nucleotide-binding, type I cytokine and atypical chemokine receptor and cadherin protein families. Sinus and bronchial epithelial tissue samples were obtained from residual surgical specimens. Primary airway epithelial cells were cultured submerged (undifferentiated monolayers) or at air-liquid interface (fully-differentiated). Established cell lines (HeLa, NCI-H358 and WisL) were cultured submerged. Epithelial tissue samples were placed in RNAlater solution (Life Technologies) to stabilize and protect cellular RNA; cultured cells were lysed directly and total RNAs were isolated using TRIzol reagent (Life Technologies). Gene expression was analyzed using the Human Genome 1.0 ST GeneChip arrays (Affymetrix, Santa Clara, CA).
创建时间:
2018-07-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作