Wang Huijuan, Zhou Yifeng, Yu Lu, Liu Zhengtao, Zheng Shusen
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.
Front Immunol. 2025 Jul 11;16:1564248. doi: 10.3389/fimmu.2025.1564248. eCollection 2025.
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.
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。