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<p>Bone marrow exhibits functional decline, yet cellular heterogeneity and molecular mechanisms remain unclear due to limitations of traditional research methods. This study aims to characterize age-related changes and identify key drivers in bone marrow. Integrated multi-omics analysis was performed using scRNA-seq, proteomics, pseudo-bulk transcriptomics, weighted gene co-expression network analysis (WGCNA)-based transcription factor (TF) network modeling, and CellChat analysis. Samples included 6 young and aged bone marrow specimens. Statistical validation involved differential expression analysis, Cox regression modeling, and receiver operating characteristic (ROC) curve analysis. A novel hematopoietic subpopulation (3.19% of aged samples) was identified, activating the cellular senescence pathway (KEGG) and enhancing inflammatory crosstalk with CD8⁺ T cells via NMU signaling (|avg_log2FC|&gt; 0.58, <i>p </i>&lt; 0.001). Pseudo-bulk and proteomic analyses identified CAPN1, MAP2K1, and JUND as potential signal modules. Immunohistochemistry and Western blot confirmed their co-expression, while molecular docking revealed interaction interfaces. In two independent bulk-RNA cohorts (<i>n </i>= 58), a Cox model based on the CAPN1-MAP2K1-JUND module showed robust predictive value for aging, with AUCs of 0.7507 (<i>p</i> = 0.0154) and 0.90 (<i>p</i> = 0.0274). This study identifies a pivotal molecular module linking single-cell dynamics to tissue-level senescence in bone marrow, providing new insights into aging mechanisms and potential therapeutic targets.</p>

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Integrated single-cell multi-omics profiling reveals a senescence-associated hematopoietic landscape and regulatory network in aging bone marrow

  • 期刊论文

  • 发表日期：

    2025年11月24日

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  • Guoyang Zhang,
  • Weixuan Lin,
  • Linghuan Guo,
  • Ziyun Li,
  • Yu Xiang,
  • Luo Wang,
  • Xiaoyu Yan

摘要

Bone marrow exhibits functional decline, yet cellular heterogeneity and molecular mechanisms remain unclear due to limitations of traditional research methods. This study aims to characterize age-related changes and identify key drivers in bone marrow. Integrated multi-omics analysis was performed using scRNA-seq, proteomics, pseudo-bulk transcriptomics, weighted gene co-expression network analysis (WGCNA)-based transcription factor (TF) network modeling, and CellChat analysis. Samples included 6 young and aged bone marrow specimens. Statistical validation involved differential expression analysis, Cox regression modeling, and receiver operating characteristic (ROC) curve analysis. A novel hematopoietic subpopulation (3.19% of aged samples) was identified, activating the cellular senescence pathway (KEGG) and enhancing inflammatory crosstalk with CD8⁺ T cells via NMU signaling (|avg_log2FC|> 0.58, p < 0.001). Pseudo-bulk and proteomic analyses identified CAPN1, MAP2K1, and JUND as potential signal modules. Immunohistochemistry and Western blot confirmed their co-expression, while molecular docking revealed interaction interfaces. In two independent bulk-RNA cohorts (n = 58), a Cox model based on the CAPN1-MAP2K1-JUND module showed robust predictive value for aging, with AUCs of 0.7507 (p = 0.0154) and 0.90 (p = 0.0274). This study identifies a pivotal molecular module linking single-cell dynamics to tissue-level senescence in bone marrow, providing new insights into aging mechanisms and potential therapeutic targets.