单细胞RNA测序揭示了缺血性和出血性中风脑组织的细胞异质性和基因表达差异

Cluster analysis using nonlinear dimensionality reduction ([tSNE]) revealed the differences in global gene expression profiles of healthy and injured striatum, and identified clusters of cells with unique genetic signatures in both ischemic brain and hemorrhagic brain. Genes with p-value < 0.05 and fold change ≥1.5 were regarded as differentially expressed genes (DEGs). For astrocytes, 135 DEGs were downregulated in hemorrhagic stroke compared to ischemic stroke. The secondary profiling of astrocytic subtypes yielded 10 different subtypes with distinct functional cell identities. For microglia, tSNE map indicated the distribution and proportion of microglia/macrophage were very similar in in the ischemic and hemorrhagic stroke models. We obtained 75 DEGs in total (hemorrhagic stroke vs. ischemic stroke, 54 were upregulated, 21 were downregulated) .

采用t分布随机邻域嵌入（tSNE）进行非线性降维的聚类分析，揭示了健康与损伤纹状体的全局基因表达谱差异，并在缺血性脑与出血性脑中鉴定出具有独特遗传特征的细胞簇。p值小于0.05且倍数变化≥1.5的基因被认定为差异表达基因（differentially expressed genes, DEGs）。针对星形胶质细胞，相较于缺血性脑卒中，出血性脑卒中样本中存在135个下调的差异表达基因。对星形胶质细胞亚型进行二次分型分析后，获得10种具有独特功能特征的细胞亚型。针对小胶质细胞，tSNE映射结果显示，缺血性与出血性脑卒中模型中小胶质细胞/巨噬细胞的分布与占比极为相似。本研究共得到75个差异表达基因（出血性脑卒中与缺血性脑卒中对比：其中54个基因表达上调，21个基因表达下调）。

搜集汇总

背景与挑战

背景概述

该数据集基于小鼠脑组织的单细胞RNA测序数据，研究了缺血性和出血性中风模型中的细胞异质性和基因表达差异。分析揭示了星形胶质细胞和小胶质细胞在两种中风类型中的差异表达基因，并识别了10个星形胶质细胞亚型。数据集包含3个样本（出血性中风、缺血性中风和对照组），使用Illumina NovaSeq 6000平台进行转录组测序，旨在提供中风病理机制的细胞水平见解。