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肝移植环境中的先进组学方法:当前应用与未来展望。

Advanced omics approaches in liver transplant settings: current applications and future prospectives.

作者信息

Wang Huijuan, Zhou Yifeng, Yu Lu, Liu Zhengtao, Zheng Shusen

机构信息

School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.

Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.

出版信息

Front Immunol. 2025 Jul 11;16:1564248. doi: 10.3389/fimmu.2025.1564248. eCollection 2025.

DOI:10.3389/fimmu.2025.1564248
PMID:40718477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12289488/
Abstract

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST), as advanced omics technologies, have addressed critical challenges in liver transplantation (LT), the most effective treatment for end-stage liver disease. This review aims to summarize the applications and future directions of scRNA-seq and ST in the context of LT. We highlight their role in uncovering immune cell heterogeneity and related injury mechanisms post-transplantation. From a clinician's perspective, we also outline potential future developments in the application of advanced omics in LT. Specifically, we focus on key immune cells involved in LT, with an emphasis on post-transplant immune responses and ischemia-reperfusion injury (IRI), as revealed by scRNA-seq and ST. Furthermore, we underscore the importance of multi-omics approaches and dynamic omics analyses in clinical LT research. With ongoing technological advancements, the integration of cutting-edge omics technologies and artificial intelligence (AI) holds great promise for advancing precision medicine in LT. Emphasis should be placed on the value of single-cell and spatial omics technologies in improving precision therapy and clinical management for LT patients.

摘要

单细胞RNA测序(scRNA-seq)和空间转录组学(ST)作为先进的组学技术,已经解决了肝移植(LT)这一终末期肝病最有效治疗方法中的关键挑战。本综述旨在总结scRNA-seq和ST在肝移植背景下的应用及未来方向。我们强调它们在揭示移植后免疫细胞异质性和相关损伤机制方面的作用。从临床医生的角度,我们还概述了先进组学在肝移植应用中的潜在未来发展。具体而言,我们聚焦于肝移植中涉及的关键免疫细胞,重点关注scRNA-seq和ST所揭示的移植后免疫反应和缺血再灌注损伤(IRI)。此外,我们强调多组学方法和动态组学分析在临床肝移植研究中的重要性。随着技术的不断进步,前沿组学技术与人工智能(AI)的整合在推进肝移植精准医学方面具有巨大潜力。应重视单细胞和空间组学技术在改善肝移植患者精准治疗和临床管理方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/2b8e99d87b55/fimmu-16-1564248-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/c46b8fb426ea/fimmu-16-1564248-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/80d60ead0712/fimmu-16-1564248-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/2b8e99d87b55/fimmu-16-1564248-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/c46b8fb426ea/fimmu-16-1564248-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/80d60ead0712/fimmu-16-1564248-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b23c/12289488/2b8e99d87b55/fimmu-16-1564248-g003.jpg

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J Transl Int Med. 2025 Jan 10;12(6):602-617. doi: 10.1515/jtim-2024-0033. eCollection 2024 Dec.
2
A Notch signaling pathway-related gene signature: Characterizing the immune microenvironment and predicting prognosis in hepatocellular carcinoma.一种Notch信号通路相关基因特征:表征肝细胞癌的免疫微环境并预测预后
J Transl Int Med. 2025 Jan 10;12(6):553-568. doi: 10.1515/jtim-2024-0020. eCollection 2024 Dec.
3
Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings.
贝林:利用转移图嵌入进行空间转录组学的联合细胞分割与注释
Nat Commun. 2025 Jul 18;16(1):6618. doi: 10.1038/s41467-025-60898-9.
4
Integrating microbial GWAS and single-cell transcriptomics reveals associations between host cell populations and the gut microbiome.整合微生物全基因组关联研究和单细胞转录组学揭示宿主细胞群体与肠道微生物组之间的关联。
Nat Microbiol. 2025 May;10(5):1210-1226. doi: 10.1038/s41564-025-01978-w. Epub 2025 Apr 7.
5
Gene-modified pig-to-human liver xenotransplantation.基因编辑猪到人的肝脏异种移植。
Nature. 2025 May;641(8064):1029-1036. doi: 10.1038/s41586-025-08799-1. Epub 2025 Mar 26.
6
Spatially resolved mapping of cells associated with human complex traits.与人类复杂性状相关的细胞的空间分辨图谱。
Nature. 2025 May;641(8064):932-941. doi: 10.1038/s41586-025-08757-x. Epub 2025 Mar 19.
7
A single-nucleus and spatial transcriptomic atlas of the COVID-19 liver reveals topological, functional, and regenerative organ disruption in patients.新冠病毒感染肝脏的单核和空间转录组图谱揭示了患者肝脏的拓扑结构、功能及再生方面的器官破坏。
Genome Biol. 2025 Mar 14;26(1):56. doi: 10.1186/s13059-025-03499-5.
8
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Int J Biol Sci. 2025 Feb 24;21(5):2135-2154. doi: 10.7150/ijbs.109449. eCollection 2025.
9
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eGastroenterology. 2023 Jun 20;1(1):e000003. doi: 10.1136/egastro-2023-000003. eCollection 2023 Jun.
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Sci China Life Sci. 2024 Dec 20. doi: 10.1007/s11427-024-2770-x.