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RESEARCH PAPER / 2025-02-08

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

Lintao Xu, Jingyu Wang, Jinjie Zhong, Weiwei Lin, Gerong Shen, Ning He, Xingjia Mao, Chunyan Fu, Zhaobo Huang, Fengdong Zhao, Xin Ye, Yongjian Zhu, Mingzhi Zheng, Hui Li, Lin-Lin Wang, Kai Zhong, Lijun Zhu, Ying-Ying Chen

Department of Obstetrics of the Second Affiliated Hospital and Department of Basic Medicine Sciences, Zhejiang University School of Medicine, Hangzhou, China.Department of Obstetrics of the Second Affiliated Hospital and Department of Basic Medicine Sciences, Zhejiang University School of Medicine, Hangzhou, China. · pubmed

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

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Research summary

The paper identifies a gene expression signature in the spinal cord associated with aging and highlights potential mechanisms involved in senescence. This research is relevant as it explores the biological underpinnings of aging in the spinal cord, which could contribute to understanding and potentially mitigating age-related disabilities.

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