4.4 Article

Single-cell RNA sequencing identifies senescent cerebromicrovascular endothelial cells in the aged mouse brain

期刊

GEROSCIENCE
卷 42, 期 2, 页码 429-444

出版社

SPRINGER
DOI: 10.1007/s11357-020-00177-1

关键词

Aging; Senescence; Geroscience; Blood-brain barrier; Vascular cognitive impairment

资金

  1. American Heart Association
  2. Oklahoma Center for the Advancement of Science and Technology
  3. National Institute on Aging [R01-AG047879, R01-AG038747, R01-AG055395]
  4. National Institute of Neurological Disorders and Stroke (NINDS) [R01-NS056218, R01-NS100782]
  5. National Institute of GeneralMedical Sciences Oklahoma Shared Clinical and Translational Resources (OSCTR) [GM104938]
  6. Molecular Mechanisms and Genetics of Autoimmunity COBRE [P30-GM110766]
  7. Presbyterian Health Foundation
  8. NIA-supported Geroscience Training Program in Oklahoma [T32AG052363]
  9. Oklahoma Nathan Shock Center [P30AG050911]
  10. Cellular and Molecular GeroScience CoBRE [1P20GM125528, 5337]

向作者/读者索取更多资源

Age-related phenotypic changes of cerebromicrovascular endothelial cells lead to dysregulation of cerebral blood flow and blood-brain barrier disruption, promoting the pathogenesis of vascular cognitive impairment (VCI). In recent years, endothelial cell senescence has emerged as a potential mechanism contributing to microvascular pathologies opening the avenue to the therapeutic exploitation of senolytic drugs in preclinical studies. However, difficulties with the detection of senescent endothelial cells in wild type mouse models of aging hinder the assessment of the efficiency of senolytic treatments. To detect senescent endothelial cells in the aging mouse brain, we analyzed 4233 cells in fractions enriched for cerebromicrovascular endothelial cells and other cells associated with the neurovascular unit obtained from young (3-month-old) and aged (28-month-old) C57BL/6 mice. We define 13 transcriptomic cell types by deep, single-cell RNA sequencing. We match transcriptomic signatures of cellular senescence to endothelial cells identified on the basis of their gene expression profile. Our study demonstrates that with advanced aging, there is an increased ratio of senescent endothelial cells (similar to 10%) in the mouse cerebral microcirculation. We propose that our single-cell RNA sequencing-based method can be adapted to study the effect of aging on senescence in various brain cell types as well as to evaluate the efficiency of various senolytic regimens in multiple tissues.

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