Single-Cell RNA-Sequencing Analyses Revealed Heterogeneity and Dynamic Changes of Metabolic Pathways in Astrocytes at the Acute Phase of Ischemic Stroke.
Hongyu MaYu ZhouZifu LiLuojiang ZhuHe LiGuanghao ZhangJing WangHaiyi GongDa XuWeilong HuaPei LiuXiaoxi ZhangYongxin ZhangLei ZhangBo HongWang ZhouPengfei YangJianmin LiuPublished in: Oxidative medicine and cellular longevity (2022)
Astrocyte plays important roles in the pathogenesis of ischemic stroke and reperfusion injury. They intensively participate in the energy metabolism of the brain, while their heterogeneity and function after ischemic stroke remain controversial. By employing single-cell sequencing of mice cortex at 12 h after transient middle cerebral artery occlusion (tMCAO) and comparing with the similar published datasets of 24h after tMCAO, we uncover the cellular phenotypes and dynamic change of astrocytes at the acute phase of ischemic stroke. In this study, we separately identified 3 major subtypes of astrocytes at the 12 h-tMCAO-system and 24 h-tMCAO-system, indicated the significant differences in the expression of genes and metabolic pathways in the astrocytes between the two time nodes after ischemic stroke, and detected the major change in the energy metabolism. These results provided a comprehensive understanding of the characteristic changes of astrocytes after ischemic stroke and explored the potential astrocytic targets for neuroprotection.
Keyphrases
- single cell
- rna seq
- atrial fibrillation
- middle cerebral artery
- cerebral ischemia
- high throughput
- acute myocardial infarction
- poor prognosis
- randomized controlled trial
- type diabetes
- brain injury
- systematic review
- white matter
- skeletal muscle
- percutaneous coronary intervention
- genome wide
- coronary artery disease
- insulin resistance
- acute coronary syndrome
- subarachnoid hemorrhage
- functional connectivity
- binding protein
- multiple sclerosis
- lymph node
- long non coding rna
- risk assessment
- early stage
- acute ischemic stroke
- adipose tissue
- genome wide identification