ArticleBiomarker research2025
Integrating single-cell RNA sequencing and spatial multi-omics reveals the molecular signature of regeneration after spinal cord injury.
Article in Biomarker research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Cuproptosis in spinal cord injury: emerging mechanisms and immunological relevance.Annals of medicine · 2026Review
- Cross-Species Transcriptomic Analysis Identifies an Endocannabinoid-Associated Immune Remodeling Signature and Candidate Pharmacologic Targets in Spinal Cord Injury.Biomedicines · 2026Article
- An inflammation-targeted lipid nanoparticle inhibiting ferroptosis for spinal cord injury repair.Materials today. Bio · 2026Article
- Multi-omics mapping identifies a C/EBPβ-S100a4⁺ macrophage axis as a therapeutic target in acute spinal cord injury.Journal of translational medicine · 2026Article
- Technological advances in axonal regeneration and structural plasticity: optogenetics, single-cell omics, and tissue clearing.Frontiers in cellular neuroscience · 2026Review
- A four-dimensional spatial atlas of spinal cord injury reveals predominant Spp1-integrin signaling driving microglia-fibroblast crosstalk in fibrotic niches.Frontiers in immunology · 2026Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundA certain degree of self-repair is initiated following spinal cord injury (SCI). Although intraneuronal regeneration and a supportive growth environment are limited, they serve as the foundation for functional recovery after SCI.
methodsIn this study, we conducted single-cell RNA sequencing combined with spatial transcriptomics and spatial metabolomics to reveal the spatial molecular characteristics of self-repair processes after SCI at single-cell resolution.
resultsWe identified three cell subsets-Mic2 (a microglia subset), Mac4 (a macrophage subset), and Fib4 (a fibroblast subset)-that express markers associated with spinal cord repair. Mic2 and Mac4 exhibit clustered spatial distribution patterns, whereas Fib4 is predominantly located around the injured spinal cord. Additionally, Mic2 is predominantly distributed in the white matter, particularly in the dorsal region of the injured spinal cord, and exhibits high expression of taurine. Mac4 and Fib4 exhibit high expression of copalic acid and uridine, respectively.
conclusionsIn this study, we have identified three distinct cell subsets that express markers associated with wound healing and may promote regenerative processes, and we have determined their spatial transcriptional and metabolic features enriched within these regions. Our dataset represents a valuable resource that offers novel mechanistic insights into the pathobiology of spinal cord injury.
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