Single-cell Technologies Provide Novel Insights into Liver Physiology and Pathology.
Single-cell Technologies Provide Novel Insights into Liver Physiology and Pathology.
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DOI：
10.14218/jcth.2023.00224
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发表时间：
2024-01-28
影响因子：
3.6
通讯作者：
中科院分区：
文献类型：
--
作者：
肝脏是人体最大的腺体器官，具有独特的细胞和生物分子分布。然而，终末期肝病的治疗效果非常差。单细胞测序是一种通过分析单个细胞间基因表达特征来识别稀有细胞群体和生物分子的先进而有力的新技术。这些细胞和生物分子可能成为肝病免疫治疗的潜在靶点，为精确个体化治疗的发展做出贡献。与全组织RNA测序相比，单细胞RNA测序(scRNA-seq)或其他单细胞组织学技术解决了细胞群体的异质性问题，并以更高的准确性和分辨率表征了与肝脏疾病相关的分子变化。本文综述了转录组、空间转录组、免疫组学、蛋白质组学、表观基因组学和多组学等单细胞技术，并对其在肝脏生理学和病理学中的应用进行了综述。我们还讨论了单细胞领域的先进技术和最新研究；我们的综述可能为了解肝脏的病理生理机制提供新的见解，以实现肝脏疾病的精确和个体化治疗。
The liver is the largest glandular organ in the body and has a unique distribution of cells and biomolecules. However, the treatment outcome of end-stage liver disease is extremely poor. Single-cell sequencing is a new advanced and powerful technique for identifying rare cell populations and biomolecules by analyzing the characteristics of gene expression between individual cells. These cells and biomolecules might be used as potential targets for immunotherapy of liver diseases and contribute to the development of precise individualized treatment. Compared to whole-tissue RNA sequencing, single-cell RNA sequencing (scRNA-seq) or other single-cell histological techniques have solved the problem of cell population heterogeneity and characterize molecular changes associated with liver diseases with higher accuracy and resolution. In this review, we comprehensively summarized single-cell approaches including transcriptomic, spatial transcriptomic, immunomic, proteomic, epigenomic, and multiomic technologies, and described their application in liver physiology and pathology. We also discussed advanced techniques and recent studies in the field of single-cell; our review might provide new insights into the pathophysiological mechanisms of the liver to achieve precise and individualized treatment of liver diseases.
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影响因子：
5.2
作者：
通讯作者：
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肝癌突变景观和免疫细胞成分的鉴定突出了潜在的治疗靶点和预后标志物
影响因子：
3.7
作者：
Wang H;Jiang W;Wang H;Wei Z;Li H;Yan H;Han P
通讯作者：
Han P
影响因子：
5.2
作者：
Yang, Luo;Zhen, Limin;Li, Zhihui;Zhu, Shu;Xu, Wenxiong;Luo, Qiumin;Peng, Liang;Xie, Chan
通讯作者：
Xie, Chan
影响因子：
3.9
作者：
通讯作者：
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影响因子：
3.9
作者：
Wernberg CW;Ravnskjaer K;Lauridsen MM;Thiele M
通讯作者：
Thiele M