• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
The Power of Single-Cell Analysis for the Study of Liver Pathobiology.单细胞分析在肝脏病理生物学研究中的作用。
Hepatology. 2021 Jan;73(1):437-448. doi: 10.1002/hep.31485.
2
Single-cell transcriptomics of small microbial eukaryotes: limitations and potential.小型微生物真核生物的单细胞转录组学:局限性与潜力
ISME J. 2017 May;11(5):1282-1285. doi: 10.1038/ismej.2016.190. Epub 2017 Jan 6.
3
Comparative transcriptomic analyses and single-cell RNA sequencing of the freshwater planarian Schmidtea mediterranea identify major cell types and pathway conservation.比较转录组分析和淡水涡虫 Schmidtea mediterranea 的单细胞 RNA 测序鉴定主要细胞类型和途径保守性。
Genome Biol. 2018 Aug 24;19(1):124. doi: 10.1186/s13059-018-1498-x.
4
Single-Cell RNA Sequencing of Oligodendrocyte Lineage Cells from the Mouse Central Nervous System.小鼠中枢神经系统少突胶质细胞谱系细胞的单细胞RNA测序
Methods Mol Biol. 2019;1936:1-21. doi: 10.1007/978-1-4939-9072-6_1.
5
Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx.使用 CIBERSORTx 分析批量组织中的细胞类型丰度和表达。
Methods Mol Biol. 2020;2117:135-157. doi: 10.1007/978-1-0716-0301-7_7.
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.
7
Computational deconvolution of transcriptomics data from mixed cell populations.计算从混合细胞群体中转录组数据的去卷积。
Bioinformatics. 2018 Jun 1;34(11):1969-1979. doi: 10.1093/bioinformatics/bty019.
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.
9
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference.基于多主体单细胞表达参考的组织细胞类型去卷积。
Nat Commun. 2019 Jan 22;10(1):380. doi: 10.1038/s41467-018-08023-x.
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

1
Cell type heterogeneity in gene co-expression networks: implications for toxicological research.基因共表达网络中的细胞类型异质性:对毒理学研究的启示。
Brief Bioinform. 2025 Jul 2;26(4). doi: 10.1093/bib/bbaf421.
2
Single cell multiomics reveals drivers of metabolic dysfunction-associated steatohepatitis.单细胞多组学揭示代谢功能障碍相关脂肪性肝炎的驱动因素。
medRxiv. 2025 May 11:2025.05.09.25327043. doi: 10.1101/2025.05.09.25327043.
3
Decoding Liver Fibrosis: How Omics Technologies and Innovative Modeling Can Guide Precision Medicine.解读肝纤维化:组学技术与创新模型如何引领精准医学
Int J Mol Sci. 2025 Mar 15;26(6):2658. doi: 10.3390/ijms26062658.
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.
5
Identifying MS4A6A macrophages as potential contributors to the pathogenesis of nonalcoholic fatty liver disease, periodontitis, and type 2 diabetes mellitus.确定MS4A6A巨噬细胞是非酒精性脂肪性肝病、牙周炎和2型糖尿病发病机制的潜在促成因素。
Heliyon. 2024 Apr 9;10(8):e29340. doi: 10.1016/j.heliyon.2024.e29340. eCollection 2024 Apr 30.
6
How single-cell transcriptomics provides insight on hepatic responses to TCDD.单细胞转录组学如何深入了解肝脏对2,3,7,8-四氯二苯并对二恶英的反应。
Curr Opin Toxicol. 2023 Dec;36. doi: 10.1016/j.cotox.2023.100441. Epub 2023 Sep 28.
7
An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease.代谢功能障碍相关脂肪性肝病的基因-表型多模态综合数据库。
Nat Med. 2023 Nov;29(11):2939-2953. doi: 10.1038/s41591-023-02602-2. Epub 2023 Oct 30.
8
Emerging and potential use of CRISPR in human liver disease.CRISPR在人类肝脏疾病中的新兴及潜在应用。
Hepatology. 2023 Aug 22. doi: 10.1097/HEP.0000000000000578.
9
Gene-regulation modules in nonalcoholic fatty liver disease revealed by single-nucleus ATAC-seq.非酒精性脂肪性肝病中单核细胞 ATAC-seq 揭示的基因调控模块。
Life Sci Alliance. 2023 Jul 25;6(10). doi: 10.26508/lsa.202301988. Print 2023 Oct.
10
Liver in infections: a single-cell and spatial transcriptomics perspective.肝脏在感染中的作用:单细胞和空间转录组学视角。
J Biomed Sci. 2023 Jul 10;30(1):53. doi: 10.1186/s12929-023-00945-z.

本文引用的文献

1
Single-Cell Transcriptomics Uncovers Zonation of Function in the Mesenchyme during Liver Fibrosis.单细胞转录组学揭示肝纤维化过程中间质功能的分区。
Cell Rep. 2019 Nov 12;29(7):1832-1847.e8. doi: 10.1016/j.celrep.2019.10.024.
2
Resolving the fibrotic niche of human liver cirrhosis at single-cell level.解析人肝硬化的纤维性龛位于单细胞水平。
Nature. 2019 Nov;575(7783):512-518. doi: 10.1038/s41586-019-1631-3. Epub 2019 Oct 9.
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.
4
Landscape of Intercellular Crosstalk in Healthy and NASH Liver Revealed by Single-Cell Secretome Gene Analysis.单细胞分泌组基因分析揭示健康和 NASH 肝脏中的细胞间串扰景观。
Mol Cell. 2019 Aug 8;75(3):644-660.e5. doi: 10.1016/j.molcel.2019.07.028.
5
Single-Cell RNA Sequencing of Visceral Adipose Tissue Leukocytes Reveals that Caloric Restriction Following Obesity Promotes the Accumulation of a Distinct Macrophage Population with Features of Phagocytic Cells.内脏脂肪组织白细胞的单细胞RNA测序表明,肥胖后进行热量限制会促进具有吞噬细胞特征的独特巨噬细胞群体的积累。
Immunometabolism. 2019;1. doi: 10.20900/immunometab20190008. Epub 2019 Jul 19.
6
A human liver cell atlas reveals heterogeneity and epithelial progenitors.人类肝脏细胞图谱揭示了其异质性和上皮祖细胞。
Nature. 2019 Aug;572(7768):199-204. doi: 10.1038/s41586-019-1373-2. Epub 2019 Jul 10.
7
Lipid-Associated Macrophages Control Metabolic Homeostasis in a Trem2-Dependent Manner.脂联巨噬细胞以 Trem2 依赖的方式控制代谢稳态。
Cell. 2019 Jul 25;178(3):686-698.e14. doi: 10.1016/j.cell.2019.05.054. Epub 2019 Jun 27.
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.
9
Single Cell RNA Sequencing Identifies Subsets of Hepatic Stellate Cells and Myofibroblasts in Liver Fibrosis.单细胞 RNA 测序鉴定肝纤维化中肝星状细胞和肌成纤维细胞亚群。
Cells. 2019 May 24;8(5):503. doi: 10.3390/cells8050503.
10
Myeloid cells in liver and bone marrow acquire a functionally distinct inflammatory phenotype during obesity-related steatohepatitis.肥胖相关性脂肪性肝炎中,肝脏和骨髓中的髓系细胞获得功能上不同的炎症表型。
Gut. 2020 Mar;69(3):551-563. doi: 10.1136/gutjnl-2019-318382. Epub 2019 May 10.

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.

DOI:10.1002/hep.31485
PMID:32740968
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7854989/
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。