Human Protein Atlas - Single cell type

This section contains Single Cell Type information based on single cell RNA sequencing (scRNAseq) data from 25 human tissues and peripheral blood mononuclear cells (PBMCs), together with in-house generated immunohistochemically stained tissue sections visualizing the corresponding spatial protein expression patterns. The scRNAseq analysis was based on publicly available genome-wide expression data and comprises all protein-coding genes in 444 individual cell type clusters corresponding to 15 different cell type groups. A specificity and distribution classification was performed to determine the number of genes elevated in these single cell types, and the number of genes detected in one, several or all cell types, respectively. The genes expressed in each of the cell types can be explored in interactive UMAP plots and bar charts, with links to corresponding immunohistochemical stainings in human tissues. More information about the specific content and the generation and analysis of the data in the section can be found on the Methods Summary.Learn about:mRNA and protein expression in single cell typesif a gene is enriched in a particular cell type (specificity)which genes have a similar expression profile across cell types (expression cluster)

本节包含基于单细胞RNA测序（scRNAseq）数据的单细胞类型信息，这些数据来自25个人体组织和外周血单个核细胞（PBMCs）。此外，还包括了通过免疫组化染色获得的组织切片，用于可视化相应的空间蛋白质表达模式。scRNAseq分析基于公开的全基因组表达数据，涵盖了444个单个细胞类型簇中所有蛋白质编码基因，这些簇对应于15个不同的细胞类型组。对特异性及分布进行了分类，以确定这些单细胞类型中基因升高的数量，以及在一类、几类或所有细胞类型中检测到的基因数量。每个细胞类型中表达的基因可以通过交互式的UMAP图和条形图进行探索，并链接到人类组织中相应的免疫组化染色。关于本节具体内容和数据生成及分析方法的更多信息，请参阅方法摘要。了解：mRNA和蛋白质在单细胞类型中的表达，若基因在特定细胞类型中富集（特异性）以及具有相似表达谱的基因在细胞类型间的分布（表达簇）。

搜集汇总

背景与挑战

背景概述

该数据集基于单细胞RNA测序（scRNAseq）数据，涵盖25个人体组织和外周血单核细胞（PBMCs），包含444个细胞类型簇和15个细胞类型组，对蛋白编码基因进行特异性和分布分类。它提供交互式UMAP图和条形图，用于探索基因表达，并链接到免疫组织化学染色图像，以可视化空间蛋白表达模式，帮助研究单细胞类型中的mRNA和蛋白表达、基因富集及表达谱相似性。