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利用计算多组学推进对细胞衰老的生物学理解。

Advancing biological understanding of cellular senescence with computational multiomics.

作者信息

Li Sheng, Agudelo Garcia Paula A, Aliferis Constantin, Becich Michael J, Calyeca Jazmin, Cosgrove Benjamin D, Elisseeff Jennifer, Farzad Negin, Fertig Elana J, Glass Carolyn, Gu Liangcai, Hu Qianjiang, Ji Zhicheng, Königshoff Melanie, LeBrasseur Nathan K, Li Dongmei, Ma Anjun, Ma Qin, Menon Vilas, Mitchell Jacob T, Mora Ana L, Nagaraj Sushma, Nelson Andrew C, Niedernhofer Laura J, Rojas Mauricio, Taha Hash Brown, Wang Jinhua, Wang Siyuan, Wu Pei-Hsun, Xie Jichun, Xu Ming, Yu Miao, Zhang Xu, Zhao Yue, Adams Peter D, Aguayo-Mazzucato Cristina, Baker Darren J, Benz Christopher, Bernlohr David A, Bueno Marta, Chen Jin, Childs Bennett G, Chuang Jeffrey H, Chung Dongjun, Dileepan Mythili, Ding Li, Dong Mingze, Duncan Francesca, Enninful Archibald, Flynn William F, Franco Ana Catarina, Furman David, Garovic Vesna, Halene Stephanie, Herman Allison B, Hertzel Ann V, Iwasaki Kanako, Jeon Hyeongseon, Kang Jeon Woong, Karmakar Shilpita, Kirkland James L, Korstanje Ron, Kummerfeld Erich, Lee Jun Hee, Liu Yang, Lu Yao, Lugo-Martinez Jose, Martini Helene, Melov Simon, Musi Nicolas, Passos João F, Peters Samuel T, Rahman Irfan, Ramasamy Ramalakshmi, Rindone Alexandra N, Robbins Paul D, Robson Paul, Rodriguez-Lopez Jhonny, Rosas Lorena, Rosenthal Nadia, Schafer Marissa J, Schilling Birgit, Schmidt Elizabeth L, Schneider Kevin, Sengupta Kaustav, Shu Jian, So Peter T C, Sun Li, Tchkonia Tamar, Teneche Marcos G, Vanegas Natalia, Wang Julia, Xie Juan, Yin Shanshan, Zhang Ke, Zhu Quan, Fan Rong

机构信息

Department of Cancer Biology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.

出版信息

Nat Genet. 2025 Sep 15. doi: 10.1038/s41588-025-02314-y.

DOI:10.1038/s41588-025-02314-y
PMID:40954249
Abstract

Cellular senescence is a complex biological process that plays a pathophysiological role in aging and age-related diseases. The biological understanding of senescence at the cellular and tissue levels remains incomplete due to the lack of specific biomarkers as well as the relative rarity of senescent cells, their phenotypic heterogeneity and dynamic features. This Review provides a comprehensive overview of multiomic approaches for the characterization and biological understanding of cellular senescence. The technical capability and challenges of each approach are discussed, and practical guidelines are provided for selecting tools for identifying, characterizing and spatially mapping senescent cells. The importance of computational analyses in multiomics research, including senescent cell identification, signature detection and interactions of senescent cells with microenvironments, is highlighted. Moreover, tissue-specific case studies and experimental design considerations for individual organs are presented. Finally, future directions and the potential impact of multiomic approaches on the biological understanding of cellular senescence are discussed.

摘要

细胞衰老 是一个复杂的生物学过程,在衰老和与年龄相关的疾病中发挥病理生理作用。由于缺乏特异性生物标志物,以及衰老细胞相对稀少、其表型异质性和动态特征,在细胞和组织水平上对衰老的生物学理解仍不完整。本综述全面概述了用于表征细胞衰老和对其进行生物学理解的多组学方法。讨论了每种方法的技术能力和挑战,并提供了选择用于识别、表征衰老细胞并对其进行空间定位的工具的实用指南。强调了计算分析在多组学研究中的重要性,包括衰老细胞识别、特征检测以及衰老细胞与微环境的相互作用。此外,还介绍了针对各个器官的组织特异性案例研究和实验设计考虑因素。最后,讨论了多组学方法在细胞衰老生物学理解方面的未来方向和潜在影响。

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本文引用的文献

1
Multiomics and cellular senescence profiling of aging human skeletal muscle uncovers Maraviroc as a senotherapeutic approach for sarcopenia.衰老人类骨骼肌的多组学和细胞衰老分析揭示马拉维若可作为一种治疗肌肉减少症的衰老疗法。
Nat Commun. 2025 Jul 5;16(1):6207. doi: 10.1038/s41467-025-61403-y.
2
Towards multimodal foundation models in molecular cell biology.迈向分子细胞生物学中的多模态基础模型。
Nature. 2025 Apr;640(8059):623-633. doi: 10.1038/s41586-025-08710-y. Epub 2025 Apr 16.
3
SIMVI disentangles intrinsic and spatial-induced cellular states in spatial omics data.
SIMVI可解析空间组学数据中的内在细胞状态和空间诱导细胞状态。
Nat Commun. 2025 Mar 27;16(1):2990. doi: 10.1038/s41467-025-58089-7.
4
Unveiling the cell-type-specific landscape of cellular senescence through single-cell transcriptomics using SenePy.利用SenePy通过单细胞转录组学揭示细胞衰老的细胞类型特异性图景。
Nat Commun. 2025 Feb 22;16(1):1884. doi: 10.1038/s41467-025-57047-7.
5
SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden.SenPred:一种基于单细胞RNA测序的机器学习流程,用于对深度衰老的真皮成纤维细胞进行分类,以检测体内衰老细胞负荷。
Genome Med. 2025 Jan 14;17(1):2. doi: 10.1186/s13073-024-01418-0.
6
Transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states.对小鼠整个生命周期骨骼肌再生的转录组分析确定了干细胞状态的改变。
Nat Aging. 2024 Dec;4(12):1862-1881. doi: 10.1038/s43587-024-00756-3. Epub 2024 Nov 22.
7
Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.衰老领域的新见解:从临床前模型到治疗创新的途径
NPJ Aging. 2024 Nov 22;10(1):53. doi: 10.1038/s41514-024-00181-1.
8
Sequence modeling and design from molecular to genome scale with Evo.基于 Evo 在从分子到基因组尺度上进行序列建模和设计。
Science. 2024 Nov 15;386(6723):eado9336. doi: 10.1126/science.ado9336.
9
Clearance of p21 highly expressing senescent cells accelerates cutaneous wound healing.清除高表达p21的衰老细胞可加速皮肤伤口愈合。
Nat Aging. 2025 Jan;5(1):21-27. doi: 10.1038/s43587-024-00755-4. Epub 2024 Nov 13.
10
Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling.基于液质联用成像的质谱流式细胞术用于空间分辨单细胞代谢组分析。
Nat Methods. 2024 Oct;21(10):1796-1800. doi: 10.1038/s41592-024-02392-6. Epub 2024 Aug 29.