{"title":"New insights into liver injury and regeneration from single-cell transcriptomics.","authors":"Yankai Wen, Cynthia Ju","doi":"10.1136/egastro-2025-100202","DOIUrl":null,"url":null,"abstract":"<p><p>Recent advancements in single-cell transcriptomics have significantly enhanced our understanding of acute liver injury (ALI) and regeneration. These technologies enable high-resolution profiling of individual cells, uncovering the diverse and dynamic responses of liver cells to injury. By integrating single-cell RNA sequencing (scRNA-seq) with spatial transcriptomics, researchers have elucidated the complex cellular and molecular mechanisms driving ALI and regeneration processes. This review summarises the platforms and analytical methods of single-cell transcriptomics in liver research and discusses liver sample processing considerations for scRNA-seq, including the comparison between <i>in vivo</i> enzymatic perfusion and <i>ex vivo</i> digestion. It highlights the transformative impact of single-cell transcriptomics on ALI and regeneration studies, revealing novel insights into previously unrecognised cell subpopulations. Key discoveries include the identification of fetal-like and <i>Anxa2<sup>+</sup></i> migratory hepatocytes at injury-repair interfaces, the characterisation of distinct activated hepatic stellate cell states during injury and repair phases, and the elucidation of zone-specific endothelial cell responses in <i>Wnt</i> signalling. Notable findings in macrophage heterogeneity include the discovery of <i>Trem2<sup>+</sup></i> populations in both Kupffer cells and monocyte-derived macrophages, with distinct roles in injury and repair processes. The application of single-cell transcriptomics continues to hold promise for identifying novel therapeutic targets, ultimately advancing the development of novel treatment strategies for acute liver diseases.</p>","PeriodicalId":72879,"journal":{"name":"eGastroenterology","volume":"3 3","pages":"e100202"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12306295/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"eGastroenterology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/egastro-2025-100202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recent advancements in single-cell transcriptomics have significantly enhanced our understanding of acute liver injury (ALI) and regeneration. These technologies enable high-resolution profiling of individual cells, uncovering the diverse and dynamic responses of liver cells to injury. By integrating single-cell RNA sequencing (scRNA-seq) with spatial transcriptomics, researchers have elucidated the complex cellular and molecular mechanisms driving ALI and regeneration processes. This review summarises the platforms and analytical methods of single-cell transcriptomics in liver research and discusses liver sample processing considerations for scRNA-seq, including the comparison between in vivo enzymatic perfusion and ex vivo digestion. It highlights the transformative impact of single-cell transcriptomics on ALI and regeneration studies, revealing novel insights into previously unrecognised cell subpopulations. Key discoveries include the identification of fetal-like and Anxa2+ migratory hepatocytes at injury-repair interfaces, the characterisation of distinct activated hepatic stellate cell states during injury and repair phases, and the elucidation of zone-specific endothelial cell responses in Wnt signalling. Notable findings in macrophage heterogeneity include the discovery of Trem2+ populations in both Kupffer cells and monocyte-derived macrophages, with distinct roles in injury and repair processes. The application of single-cell transcriptomics continues to hold promise for identifying novel therapeutic targets, ultimately advancing the development of novel treatment strategies for acute liver diseases.