• 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

单细胞转录组学揭示淋巴瘤异质性

Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics.

作者信息

Ysebaert Loic, Quillet-Mary Anne, Tosolini Marie, Pont Frederic, Laurent Camille, Fournié Jean-Jacques

机构信息

Centre de Recherches en Cancérologie de Toulouse, INSERM UMR1037, Toulouse, France.

Toulouse University, Toulouse, France.

出版信息

Front Immunol. 2021 Feb 26;12:597651. doi: 10.3389/fimmu.2021.597651. eCollection 2021.

DOI:10.3389/fimmu.2021.597651
PMID:33732232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7959738/
Abstract

High-definition transcriptomic studies through single-cell RNA sequencing (scRNA-Seq) have revealed the heterogeneity and functionality of the various microenvironments across numerous solid tumors. Those pioneer studies have highlighted different cellular signatures correlated with clinical response to immune checkpoint inhibitors. scRNA-Seq offers also a unique opportunity to unravel the intimate heterogeneity of the ecosystems across different lymphoma entities. In this review, we will first cover the basics and future developments of the technology, and we will discuss its input in the field of translational lymphoma research, from determination of cell-of-origin and functional diversity, to monitoring of anti-cancer targeted drugs response and toxicities, and how new improvements in both data collection and interpretation will further foster precision medicine in the upcoming years.

摘要

通过单细胞RNA测序(scRNA-Seq)进行的高清转录组学研究揭示了多种实体瘤中不同微环境的异质性和功能。这些开创性研究突出了与免疫检查点抑制剂临床反应相关的不同细胞特征。scRNA-Seq还提供了一个独特的机会,来揭示不同淋巴瘤实体中生态系统的内在异质性。在这篇综述中,我们将首先介绍该技术的基础知识和未来发展,并讨论其在转化性淋巴瘤研究领域的作用,从确定细胞起源和功能多样性,到监测抗癌靶向药物的反应和毒性,以及数据收集和解释方面的新改进将如何在未来几年进一步推动精准医学的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2ae/7959738/a85ce1fa9f01/fimmu-12-597651-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2ae/7959738/a85ce1fa9f01/fimmu-12-597651-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2ae/7959738/a85ce1fa9f01/fimmu-12-597651-g001.jpg

相似文献

1
Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics.单细胞转录组学揭示淋巴瘤异质性
Front Immunol. 2021 Feb 26;12:597651. doi: 10.3389/fimmu.2021.597651. eCollection 2021.
2
Single-Cell Transcriptomic Analysis of Tumor Heterogeneity.肿瘤异质性的单细胞转录组分析
Trends Cancer. 2018 Apr;4(4):264-268. doi: 10.1016/j.trecan.2018.02.003. Epub 2018 Mar 9.
3
Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing.单细胞 RNA 测序解析的细胞异质性的生物学和医学重要性。
Cells. 2020 Jul 22;9(8):1751. doi: 10.3390/cells9081751.
4
Advances in long-read single-cell transcriptomics.长读长时程单细胞转录组学的进展。
Hum Genet. 2024 Oct;143(9-10):1005-1020. doi: 10.1007/s00439-024-02678-x. Epub 2024 May 24.
5
Data Analysis in Single-Cell Transcriptome Sequencing.单细胞转录组测序中的数据分析
Methods Mol Biol. 2018;1754:311-326. doi: 10.1007/978-1-4939-7717-8_18.
6
Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.单细胞转录组学分析免疫细胞:单细胞 RNA 测序的免疫细胞分离和 cDNA 文库构建。
Methods Mol Biol. 2020;2184:1-18. doi: 10.1007/978-1-0716-0802-9_1.
7
Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis.创建一个单细胞 RNAseq 元图谱以定义人类肝脏免疫稳态。
Front Immunol. 2021 Jul 16;12:679521. doi: 10.3389/fimmu.2021.679521. eCollection 2021.
8
Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq.单细胞 RNA 测序解析人类肿瘤组织中细胞类型特异性药物反应
Genome Med. 2021 May 11;13(1):82. doi: 10.1186/s13073-021-00894-y.
9
Single-cell transcriptomics in cancer: computational challenges and opportunities.单细胞转录组学在癌症中的应用:计算挑战与机遇。
Exp Mol Med. 2020 Sep;52(9):1452-1465. doi: 10.1038/s12276-020-0422-0. Epub 2020 Sep 15.
10
Single-cell and spatial transcriptomics approaches of cardiovascular development and disease.单细胞和空间转录组学方法在心血管发育和疾病中的应用。
BMB Rep. 2020 Aug;53(8):393-399. doi: 10.5483/BMBRep.2020.53.8.130.

引用本文的文献

1
Multi-Cohort High-Dimensional Proteomics Reveals Early Risk Markers for Lymphoid Cancer Subtypes.多队列高维蛋白质组学揭示淋巴癌亚型的早期风险标志物。
Res Sq. 2025 Aug 19:rs.3.rs-7400676. doi: 10.21203/rs.3.rs-7400676/v1.
2
Prediction significance of autophagy-related genes in survival probability and drug resistance in diffuse large B-cell lymphoma.自噬相关基因对弥漫性大B细胞淋巴瘤生存概率和耐药性的预测意义
Aging (Albany NY). 2024 Jan 17;16(2):1049-1076. doi: 10.18632/aging.205282.
3
Sphingolipids and Lymphomas: A Double-Edged Sword.

本文引用的文献

1
Single-Cell Virtual Cytometer allows user-friendly and versatile analysis and visualization of multimodal single cell RNAseq datasets.单细胞虚拟细胞仪允许对多模态单细胞RNA测序数据集进行用户友好且多功能的分析和可视化。
NAR Genom Bioinform. 2020 Apr 20;2(2):lqaa025. doi: 10.1093/nargab/lqaa025. eCollection 2020 Jun.
2
Characteristics of anti-CD19 CAR T cell infusion products associated with efficacy and toxicity in patients with large B cell lymphomas.与大 B 细胞淋巴瘤患者疗效和毒性相关的抗 CD19 CAR T 细胞输注产品的特征。
Nat Med. 2020 Dec;26(12):1878-1887. doi: 10.1038/s41591-020-1061-7. Epub 2020 Oct 5.
3
鞘脂与淋巴瘤:一把双刃剑
Cancers (Basel). 2022 Apr 19;14(9):2051. doi: 10.3390/cancers14092051.
4
Editorial: New Insights Into the Complexity of Tumor Immunology in B-Cell Malignancies: Disease Biology and Signaling.社论:B细胞恶性肿瘤中肿瘤免疫学复杂性的新见解:疾病生物学与信号传导
Front Oncol. 2021 Dec 15;11:820984. doi: 10.3389/fonc.2021.820984. eCollection 2021.
5
Single-Cell Sequencing: Biological Insight and Potential Clinical Implications in Pediatric Leukemia.单细胞测序:儿童白血病中的生物学见解及潜在临床意义
Cancers (Basel). 2021 Nov 12;13(22):5658. doi: 10.3390/cancers13225658.
6
Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing - Review.分析现代生物分子:核酸测序的革命——综述。
Biomolecules. 2021 Jul 28;11(8):1111. doi: 10.3390/biom11081111.
Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies.
单细胞分析鉴定出表达 CD19 的脑壁细胞,可能成为 CAR-T 免疫疗法的肿瘤外靶点。
Cell. 2020 Oct 1;183(1):126-142.e17. doi: 10.1016/j.cell.2020.08.022. Epub 2020 Sep 21.
4
VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis.VisTCR:一款用于T细胞受体库测序数据分析的交互式软件。
Front Genet. 2020 Jul 21;11:771. doi: 10.3389/fgene.2020.00771. eCollection 2020.
5
The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications.癌症免疫疗法的历史与进展:了解肿瘤浸润免疫细胞的特征及其治疗意义。
Cell Mol Immunol. 2020 Aug;17(8):807-821. doi: 10.1038/s41423-020-0488-6. Epub 2020 Jul 1.
6
Single-cell analysis of germinal-center B cells informs on lymphoma cell of origin and outcome.基于生发中心 B 细胞的单细胞分析可为淋巴瘤细胞起源和预后提供信息。
J Exp Med. 2020 Oct 5;217(10). doi: 10.1084/jem.20200483.
7
A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling.单细胞分析揭示的异质性肿瘤微环境泛癌蓝图。
Cell Res. 2020 Sep;30(9):745-762. doi: 10.1038/s41422-020-0355-0. Epub 2020 Jun 19.
8
Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels.解析肿瘤内淋巴结 B 细胞淋巴瘤在转录、遗传和药物反应水平上的异质性。
Nat Cell Biol. 2020 Jul;22(7):896-906. doi: 10.1038/s41556-020-0532-x. Epub 2020 Jun 15.
9
Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth.单细胞 RNA 测序揭示了支持肿瘤生长的动态基质龛。
Cell Rep. 2020 May 19;31(7):107628. doi: 10.1016/j.celrep.2020.107628.
10
Mutant EZH2 Induces a Pre-malignant Lymphoma Niche by Reprogramming the Immune Response.突变 EZH2 通过重塑免疫反应诱导恶性前淋巴瘤生态位。
Cancer Cell. 2020 May 11;37(5):655-673.e11. doi: 10.1016/j.ccell.2020.04.004.