Stacking the odds: multiple sites for HSV-1 latency
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE225839
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资源简介：
investigated the possible contribution of various cells (i.e., B cells, DCs, fibroblasts, glial cells, ILCs, macrophages, microglia, monocytes, NK cells, neurons, neutrophils, and T cells) isolated from TG of latently infected mice to HSV-1 latency immune cells were enriched and pooled back with original TG single cells, so that multiple type of cellls in TG can be analyzed by single cell sequencing
创建时间：
2023-02-25
