Implementation of Slide-seq for high-resolution, whole-transcriptome human tissue maps.

摘要： 细胞是组织和器官的基本单位，因此，要了解组织的组织结构， 在器官中，重要的是要了解不同类型的细胞在组织中的位置。在这里，我们实现一个 新发明的技术称为Slide-seq，用于表征大组织中的基因表达关系 分辨率为10微米。首先，我们将制定组织质量指标，并对载玻片进行修改- seq协议，在HuBMAP关注的一系列组织中优化Slide-seq数据质量 财团接下来，我们将从人类结肠和肾脏中生成大规模Slide-seq数据集，并比较 并对比现有HuBMAP TMC部署的空间技术产生的数据。最后， 我们将扩大Slide-seq阵列的生产规模，并举办培训研讨会，使这项技术能够 在整个HuBMAP联盟中成功采用。我们的目标是让Slide-seq成为一种常规， 用于构建人体组织的全面分子图谱的有价值的测量工具。

Abstract: Cells are the unit building blocks of tissues and organs, thus, to understand the organization of tissues and organs, it is important to understand where different types of cells reside in the tissue. Here, we implement a newly invented technology called Slide-seq to characterize gene expression relationships in large tissue volumes at 10-micron resolution. First, we will develop tissue quality metrics, and modifications to the Slide- seq protocol, that optimize Slide-seq data quality across a range of tissues that are the focus of the HuBMAP consortium. Next, we will generate large-scale Slide-seq datasets from human colon and kidney, and compare and contrast the resulting data from spatial technologies being deployed by existing HuBMAP TMCs. Finally, we will scale the production of the Slide-seq arrays, and host training workshops, to enable the technology to be successfully adopted across the HuBMAP consortium. Together, we aim to make Slide-seq a routine and valuable measurement tool for the construction of comprehensive molecular maps of human tissues.