Analysis of brain and blood single-cell transcriptomics in acute and subacute phases after experimental stroke.
Lidia Garcia-BonillaZiasmin ShahanoorRose SciortinoOmina NazarzodaGianfranco RacchumiCostantino IadecolaJosef AnratherPublished in: Nature immunology (2024)
Cerebral ischemia triggers a powerful inflammatory reaction involving peripheral leukocytes and brain resident cells that contribute to both tissue injury and repair. However, their dynamics and diversity remain poorly understood. To address these limitations, we performed a single-cell transcriptomic study of brain and blood cells 2 or 14 days after ischemic stroke in mice. We observed a strong divergence of post-ischemic microglia, monocyte-derived macrophages and neutrophils over time, while endothelial cells and brain-associated macrophages showed altered transcriptomic signatures at 2 days poststroke. Trajectory inference predicted the in situ trans-differentiation of macrophages from blood monocytes into day 2 and day 14 phenotypes, while neutrophils were projected to be continuously de novo recruited from the blood. Brain single-cell transcriptomes from both female and male aged mice were similar to that of young male mice, but aged and young brains differed in their immune cell composition. Although blood leukocyte analysis also revealed altered transcriptomes after stroke, brain-infiltrating leukocytes displayed higher transcriptomic divergence than their circulating counterparts, indicating that phenotypic diversification occurs within the brain in the early and recovery phases of ischemic stroke. A portal ( https://anratherlab.shinyapps.io/strokevis/ ) is provided to allow user-friendly access to our data.
Keyphrases
- single cell
- cerebral ischemia
- rna seq
- resting state
- white matter
- subarachnoid hemorrhage
- high throughput
- brain injury
- functional connectivity
- endothelial cells
- peripheral blood
- dendritic cells
- gene expression
- oxidative stress
- cell proliferation
- intensive care unit
- cell cycle arrest
- spinal cord injury
- metabolic syndrome
- skeletal muscle
- cell death
- genome wide
- hepatitis b virus
- deep learning
- dna methylation
- patient safety
- vascular endothelial growth factor
- big data