five

Single-cell spatial transcriptomic profiling of cultured cells and engineered tissues without embedding or sectioning

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE296623
下载链接
链接失效反馈
官方服务:
资源简介:
The deposited data corresponds to the development of a protocol for spatial transcriptomic profiling of 2D engineered tissues and cell cultures that are not compatible with standard embedding and sectioning. By fixing and permeabilizing cells grown directly on a microscope glass slide, we demonstrate how Visium HD spatial gene expression kit can be used to investigate the function of these cells. Manuscript link: pending Github repository: https://github.com/HaylieHelms/vhd-scbioprint1 A combination of primary human cells (mammary eptithelial cells, mammary myoepithelial cells, mammary fibroblasts, umbilical vein endothelial cells, and macrophages) and human cell lines (MDA-MB-231 and MCF10A) were patterned onto a collagen coated glass microscope slide using a single-cell bioprinter (Biopixlar, Fluicell). The cells were cultured in M87 media for 24 hours before being fixed with 4% PFA and permeabilized with 100% methanol. The Visium HD spatial transcriptomics protocol was then followed to generate the data deposited here.
创建时间:
2025-07-10
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