Multiomics identify the gene expression signature of the spinal cord during aging process

Age-related long-term disability is attracting increasing attention due to the growing ageing population worldwide. However, the current understanding of the senescent spinal cord remains insufficient. Bulk RNA sequencing reveals that 526 genes are upregulated and 300 genes are downregulated in senescent spinal cords. Pathway enrichment analysis of differentially expressed genes shows that senescence in spinal cords is related to phagosome function, neuroinflammation, ferroptosis, and necroptosis. Prediction of upstream transcription factors and interactome analysis identify Spi1 as a transcription factor that potentially plays a core role in senescent spinal cords. Spatial transcriptomics illustrates the spatial distribution of the transcriptomic landscape in both young and senescent spinal cords and identifies distinct neuronal and glial subtypes. The ferroptosis-associated gene Fth1 is upregulated in aged spinal cords. Flow cytometry reveals increased accumulation of free Fe<sup>2+</sup> and ROS in senescent mixed glial cells; however, CCK-8 assays reveal that these cells are resistant to ferroptosis. SiRNA and lentivirus experiments indicate that the overexpression of Fth1 in normal mixed glial cells reduces their sensitivity to ferroptosis, whereas Fth1 knockdown increases their sensitivity to ferroptosis. In summary, spatial and bulk transcriptomics elucidate the transcriptional characteristics of young versus senescent spinal cords, thus highlighting the role of Fth1 in mediating ferroptosis resistance in senescent mixed glial cells.

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Publication Details

Journal
Communications Biology
Published
2025-02-07
DOI
https://doi.org/10.1038/s42003-025-07475-4
Citations
4
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
3.75

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article

Multiomics identify the gene expression signature of the spinal cord during aging process

Jinjie Zhong, Kai Zhong, Fengdong Zhao, Xingjia Mao et al.
4 citations
Communications Biology
Cancer-related molecular mechanisms research
3.75
article

Multiomics identify the gene expression signature of the spinal cord during aging process

Jinjie Zhong, Kai Zhong, Fengdong Zhao, Xingjia Mao, Z. Josh Huang, Yongjian Zhu, Xin Ye, Linlin Wang, Yingying Chen, Jingyu Wang, Weiwei Lin, Hui Li, Lijun Zhu, Chunyan Fu, Mingzhi Zheng, Gerong Shen, Ning He, Lintao Xu
article en
4 citations

Abstract

Age-related long-term disability is attracting increasing attention due to the growing ageing population worldwide. However, the current understanding of the senescent spinal cord remains insufficient. Bulk RNA sequencing reveals that 526 genes are upregulated and 300 genes are downregulated in senescent spinal cords. Pathway enrichment analysis of differentially expressed genes shows that senescence in spinal cords is related to phagosome function, neuroinflammation, ferroptosis, and necroptosis. Prediction of upstream transcription factors and interactome analysis identify Spi1 as a transcription factor that potentially plays a core role in senescent spinal cords. Spatial transcriptomics illustrates the spatial distribution of the transcriptomic landscape in both young and senescent spinal cords and identifies distinct neuronal and glial subtypes. The ferroptosis-associated gene Fth1 is upregulated in aged spinal cords. Flow cytometry reveals increased accumulation of free Fe<sup>2+</sup> and ROS in senescent mixed glial cells; however, CCK-8 assays reveal that these cells are resistant to ferroptosis. SiRNA and lentivirus experiments indicate that the overexpression of Fth1 in normal mixed glial cells reduces their sensitivity to ferroptosis, whereas Fth1 knockdown increases their sensitivity to ferroptosis. In summary, spatial and bulk transcriptomics elucidate the transcriptional characteristics of young versus senescent spinal cords, thus highlighting the role of Fth1 in mediating ferroptosis resistance in senescent mixed glial cells.

Communications BiologyVol. 8(1)
Sir Run Run Shaw Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Hangzhou Medical College (CN), First Affiliated Hospital Zhejiang University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Zhejiang University
Zero hunger
Openalex Percentile: Top 8%
Cancer-related molecular mechanisms research
3.75
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