NiV infection transcriptomics profile on HEK29T cells
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE166707
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To delineate cellular processes involved in NiV infection, we have employed whole genome microarray expression profiling as a discovery platform to identify the upregulated and downregulated genes. Total RNA was collected from infected cells and uninfected controls. Cy3 labeled cRNA is used for hybridization platform Agilent Human 4 x 44K gene expression array. Time-course based infections were performed at moi 1. 4h, 8h, 12h, 16h infections were compared to uninfected HEK293T cell transcriptomics. Five replicates were performed for each condition, and labeled as A through E.
为厘清尼帕病毒(Nipah Virus, NiV)感染相关的细胞过程,本研究采用全基因组微阵列表达谱作为发现平台,以筛选感染过程中上调与下调的基因。实验从感染细胞与未感染对照细胞中提取总RNA,将Cy3标记的互补RNA(complementary RNA, cRNA)用于安捷伦(Agilent)人类4×44K基因表达芯片的杂交实验。本研究以感染复数(multiplicity of infection, MOI)=1开展时间梯度感染实验,分别在感染后4h、8h、12h、16h收取样本,并与未感染HEK293T细胞的转录组进行比对。每个实验条件均设置5次生物学重复,编号为A至E。
创建时间:
2025-02-01



