SPASCER

We established SPASCER database, which stand for spatial transcriptomics annotation at single-cell resolution, aims to provide spatial transcriptome analysis results in single-cell resolution by integration of single-cell RNA sequencing (scRNA-seq) data. SPASCER database includes 1 082 datasets from 43 studies that across 16 organs. scRNA-seq was integrated to deconvolve/map spatial transcriptomics, and processed with spatial cell-cell interaction, gene pattern and pathway enrichment analysis.我们构建了SPASCER数据库，其全称为单细胞分辨率空间转录组学注释（spatial transcriptomics annotation at single-cell resolution），旨在通过整合单细胞RNA测序（single-cell RNA sequencing, scRNA-seq）数据，提供单细胞分辨率水平的空间转录组分析结果。SPASCER数据库收录了来自43项研究、覆盖16种器官的1082套数据集。该库通过整合单细胞RNA测序数据对空间转录组进行解卷积/空间映射，并开展空间细胞互作、基因表达模式及通路富集分析。

搜集汇总

背景与挑战

背景概述

SPASCER是一个空间转录组学数据库，专注于单细胞分辨率下的注释和分析，整合了1,082个数据集，覆盖43项研究和16个器官，支持人类、小鼠、斑马鱼和鸡等多个物种。它通过整合单细胞RNA测序数据去卷积空间转录组学，并提供空间细胞-细胞相互作用、基因模式和通路富集分析，帮助理解健康与疾病组织中的生物学过程。