Spatial Transcriptomics of Patients With Kaposi Sarcoma Identifies Mechanisms of Immune Evasion

卡波西肉瘤患者的空间转录组学研究揭示了其免疫逃逸机制

阅读:2

Abstract

To identify the cell types that are infected with KSHV and the immune interactions in Kaposi sarcoma (KS) lesions, we performed spatial transcriptomics with seven KS skin tumors. We used a single-cell RNA-sequencing reference data set from healthy skin donors with a method to conduct spatially informed cell-type deconvolution for spatial transcriptomics. This allowed us to predict the relative amounts of each cell type within the patient sample sections. We included custom probes for five KSHV genes that allowed us to measure human and KSHV expression patterns at the same time. We then compared the spatial gene expression data of KS skin samples with six normal skin samples and found higher expression of marker genes corresponding to macrophages/dendritic cells, lymphatic endothelial cells, and vascular endothelial cells in the KS skin lesions when compared to normal skin samples. Our spatial transcriptomic results from thousands of spots across multiple KS tumors indicated a correlation between high levels of STC1 and decreased expression of macrophage markers. Together, these analyses offer potential mechanisms by which KSHV infection may remodel skin tissue, inhibit immune responses against KSHV infection, and confer resistance to anticancer therapies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。