Suppr超能文献

单细胞分析在肝脏病理生物学研究中的作用。

The Power of Single-Cell Analysis for the Study of Liver Pathobiology.

机构信息

Department of Pediatrics, University of California San Diego, California and Rady Children's Hospital, San Diego, CA.

Departments of Medicine and Pathology & Immunology, Washington University School of Medicine, St. Louis, MO.

出版信息

Hepatology. 2021 Jan;73(1):437-448. doi: 10.1002/hep.31485.

Abstract

Single cell transcriptomics has emerged as a powerful lens through which to study the molecular diversity of complex tissues such as the liver, during health and disease, both in animal models and in humans. The earliest gene expression methods measured bulk tissue RNA, but the results were often confusing because they derived from the combined transcriptomes of many different cell types in unknown proportions. To better delineate cell-type-specific expression, investigators developed cell isolation, purification, and sorting protocols, yet still, the RNA derived from ensembles of cells obscured recognition of cellular heterogeneity. Profiling transcriptomes at the single-cell level has opened the door to analyses that were not possible in the past. In this review, we discuss the evolution of single cell transcriptomics and how it has been applied for the study of liver physiology and pathobiology to date.

摘要

单细胞转录组学已经成为一种强大的研究手段,可以在健康和疾病状态下,从动物模型和人类中,研究肝脏等复杂组织的分子多样性。最早的基因表达方法测量的是组织总 RNA,但结果往往令人困惑,因为它们源自许多不同细胞类型的混合转录组,其比例未知。为了更好地区分细胞类型特异性表达,研究人员开发了细胞分离、纯化和分选方案,但仍然无法避免来自细胞群体的 RNA 掩盖了细胞异质性的识别。在单细胞水平上进行转录组分析为过去无法进行的分析打开了大门。在这篇综述中,我们讨论了单细胞转录组学的发展,以及它迄今为止在肝脏生理学和病理生物学研究中的应用。

相似文献

6
Revolutionizing immunology with single-cell RNA sequencing.单细胞 RNA 测序引领免疫学革命。
Cell Mol Immunol. 2019 Mar;16(3):242-249. doi: 10.1038/s41423-019-0214-4. Epub 2019 Feb 22.
8
The potential of single-cell profiling in plants.植物单细胞分析的潜力。
Genome Biol. 2016 Apr 5;17:65. doi: 10.1186/s13059-016-0931-2.
10
Constructing cell lineages from single-cell transcriptomes.从单细胞转录组构建细胞谱系。
Mol Aspects Med. 2018 Feb;59:95-113. doi: 10.1016/j.mam.2017.10.004. Epub 2017 Nov 26.

引用本文的文献

4
From Cirrhosis to the Dysbiosis (A Loop of Cure or Complications?).从肝硬化到菌群失调(治愈还是并发症的循环?)
Indian J Microbiol. 2024 Sep;64(3):810-820. doi: 10.1007/s12088-024-01267-w. Epub 2024 Apr 3.

本文引用的文献

3
High-definition spatial transcriptomics for in situ tissue profiling.高分辨率空间转录组学用于组织原位分析。
Nat Methods. 2019 Oct;16(10):987-990. doi: 10.1038/s41592-019-0548-y. Epub 2019 Sep 9.
8
Comprehensive Integration of Single-Cell Data.单细胞数据的综合整合。
Cell. 2019 Jun 13;177(7):1888-1902.e21. doi: 10.1016/j.cell.2019.05.031. Epub 2019 Jun 6.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验