Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis

肝病学 医学 肝星状细胞 疾病 肝病 转录组 发病机制 脂肪肝 生物 纤维化 计算生物学 癌症研究 生物信息学 免疫学 病理 内科学 基因 遗传学 基因表达
作者
Prakash Ramachandran,Kylie P. Matchett,Ross Dobie,John R. Wilson‐Kanamori,Neil C. Henderson
出处
期刊:Nature Reviews Gastroenterology & Hepatology [Nature Portfolio]
卷期号:17 (8): 457-472 被引量:200
标识
DOI:10.1038/s41575-020-0304-x
摘要

Liver disease is a major global health-care problem, affecting an estimated 844 million people worldwide. Despite this substantial burden, therapeutic options for liver disease remain limited, in part owing to a paucity of detailed analyses defining the cellular and molecular mechanisms that drive these conditions in humans. Single-cell transcriptomic technologies are transforming our understanding of cellular diversity and function in health and disease. In this Review, we discuss how these technologies have been applied in hepatology, advancing our understanding of cellular heterogeneity and providing novel insights into fundamental liver biology such as the metabolic zonation of hepatocytes, endothelial cells and hepatic stellate cells, and the cellular mechanisms underpinning liver regeneration. Application of these methodologies is also uncovering critical pathophysiological changes driving disease states such as hepatic fibrosis, where distinct populations of macrophages, endothelial cells and mesenchymal cells reside within a spatially distinct fibrotic niche and interact to promote scar formation. In addition, single-cell approaches are starting to dissect key cellular and molecular functions in liver cancer. In the near future, new techniques such as spatial transcriptomics and multiomic approaches will further deepen our understanding of disease pathogenesis, enabling the identification of novel therapeutic targets for patients across the spectrum of liver diseases. Single-cell transcriptomic technologies are transforming our understanding of cellular diversity and function in health and disease. This Review discusses how these technologies have been applied in hepatology, advancing our understanding of cellular heterogeneity and providing novel insights into liver biology such as metabolic zonation and the mechanisms underpinning liver regeneration.
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