4.7 Article

Heterogeneity analysis of astrocytes following spinal cord injury at single-cell resolution

期刊

FASEB JOURNAL
卷 36, 期 8, 页码 -

出版社

WILEY
DOI: 10.1096/fj.202200463R

关键词

astrocytes; heterogeneity; single-cell RNA sequencing; spinal cord injury

资金

  1. Key Program of NSFC [81730067]
  2. Major Project of NSFC [81991514]
  3. Jiangsu Provincial Key Medical Center Foundation
  4. Jiangsu Provincial Medical Outstanding Talent Foundation
  5. Jiangsu Provincial Medical Youth Talent Foundation
  6. Jiangsu Provincial Key Medical Talent Foundation
  7. Fundamental Research Funds for the Central Universities [14380493, 14380494]

向作者/读者索取更多资源

Astrocytes play important roles in spinal cord injury and show heterogeneity. This study identified six distinct astrocyte subtypes following injury and characterized their distribution and dynamic evolution, providing new targets for spinal cord injury repair.
Astrocytes play many important functions in response to spinal cord injury (SCI) in an activated manner, including clearance of necrotic tissue, formation of protective barrier, maintenance of microenvironment balance, interaction with immune cells, and formation of the glial scar. More and more studies have shown that the astrocytes are heterogeneous, such as inflammatory astrocyte 1 (A1) and neuroprotective astrocyte 2 (A2) types. However, the subtypes of astrocyte resulting from SCI have not been clearly defined. In this study, using single-cell RNA sequencing, we constructed the transcriptomic profile of astrocytes from uninjured spinal cord tissue and injured tissue nearby the lesion epicenter at 0.5, 1, 3, 7, 14, 60, and 90 days after mouse hemisection spinal cord surgery. Our analysis uncovered six transcriptionally distinct astrocyte states, including Atp1b2(+), S100a4(+), Gpr84(+), C3(+)/G0s2(+), GFAP(+)/Tm4sf1(+), and Gss(+)/Cryab(+) astrocytes. We used these new signatures combined with canonical astrocyte markers to determine the distribution of morphologically and physiologically distinct astrocyte population at injured sites by immunofluorescence staining. Then we identified the dynamic evolution process of each astrocyte subtype following SCI. Finally, we also revealed the evolution of highly expressed genes in these astrocyte subtypes at different phases of SCI. Together, we provided six astrocyte subtypes at single-cell resolution following SCI. These data not only contribute to understand the heterogeneity of astrocytes during SCI but also help to find new astrocyte subtypes as a target for SCI repair.

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