• 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

单细胞转录组测序解析癌症生物学。

Cancer biology deciphered by single-cell transcriptomic sequencing.

机构信息

Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, 100871, China.

RIKEN Center for Biosystems Dynamics Research (BDR), 6-2-3, Furuedai, Suita, Osaka, Japan.

出版信息

Protein Cell. 2022 Mar;13(3):167-179. doi: 10.1007/s13238-021-00868-1. Epub 2021 Aug 17.

DOI:10.1007/s13238-021-00868-1
PMID:34405376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8901819/
Abstract

Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer biology had been studied using bulk genomic and gene expression profiling, which however mask the cellular diversity and average the variability among individual molecular programs. Recent advances in single-cell transcriptomic sequencing have enabled a detailed dissection of tumor ecosystems and promoted our understanding of tumorigenesis at single-cell resolution. In the present review, we discuss the main topics of recent cancer studies that have implemented single-cell RNA sequencing (scRNA-seq). To study cancer cells, scRNA-seq has provided novel insights into the cancer stem-cell model, treatment resistance, and cancer metastasis. To study the tumor microenvironment, scRNA-seq has portrayed the diverse cell types and complex cellular states of both immune and non-immune cells interacting with cancer cells, with the promise to discover novel targets for future immunotherapy.

摘要

肿瘤是一个复杂的生态系统,其中异质性的癌细胞与其由不同的免疫细胞、内皮细胞和基质细胞组成的微环境相互作用。癌症生物学一直是通过大规模基因组和基因表达谱分析来研究的,但这种方法掩盖了细胞的多样性,并平均了个体分子程序之间的可变性。单细胞转录组测序的最新进展使得对肿瘤生态系统进行详细剖析,并促进了我们对单细胞分辨率下肿瘤发生的理解。在本综述中,我们讨论了最近实施单细胞 RNA 测序 (scRNA-seq) 的癌症研究的主要课题。为了研究癌细胞,scRNA-seq 为癌症干细胞模型、治疗耐药性和癌症转移提供了新的见解。为了研究肿瘤微环境,scRNA-seq 描绘了与癌细胞相互作用的免疫细胞和非免疫细胞的多种细胞类型和复杂细胞状态,并有望发现未来免疫治疗的新靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0902/8901819/ea8914a43b15/13238_2021_868_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0902/8901819/2cb4d5e11f5d/13238_2021_868_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0902/8901819/ea8914a43b15/13238_2021_868_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0902/8901819/2cb4d5e11f5d/13238_2021_868_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0902/8901819/ea8914a43b15/13238_2021_868_Fig2_HTML.jpg

相似文献

1
Cancer biology deciphered by single-cell transcriptomic sequencing.单细胞转录组测序解析癌症生物学。
Protein Cell. 2022 Mar;13(3):167-179. doi: 10.1007/s13238-021-00868-1. Epub 2021 Aug 17.
2
Single-cell RNA sequencing in breast cancer: Understanding tumor heterogeneity and paving roads to individualized therapy.单细胞 RNA 测序在乳腺癌中的应用:解析肿瘤异质性并为个体化治疗铺平道路。
Cancer Commun (Lond). 2020 Aug;40(8):329-344. doi: 10.1002/cac2.12078. Epub 2020 Jul 12.
3
Deciphering cell-cell interactions and communication in the tumor microenvironment and unraveling intratumoral genetic heterogeneity via single-cell genomic sequencing.解析肿瘤微环境中的细胞-细胞相互作用和通讯,并通过单细胞基因组测序揭示肿瘤内遗传异质性。
Bioengineered. 2022 Jul-Dec;13(7-12):14974-14986. doi: 10.1080/21655979.2023.2185434.
4
Cancer cell states: Lessons from ten years of single-cell RNA-sequencing of human tumors.肿瘤细胞状态:单细胞 RNA 测序研究人类肿瘤十年的启示。
Cancer Cell. 2024 Sep 9;42(9):1497-1506. doi: 10.1016/j.ccell.2024.08.005. Epub 2024 Aug 29.
5
Finding needles in a haystack: dissecting tumor heterogeneity with single-cell transcriptomic and chromatin accessibility profiling.在干草堆中找针:利用单细胞转录组学和染色质可及性分析解析肿瘤异质性。
Curr Opin Genet Dev. 2021 Feb;66:36-40. doi: 10.1016/j.gde.2020.11.008. Epub 2021 Jan 5.
6
Single-Cell RNA Sequencing for Studying Human Cancers.单细胞 RNA 测序在人类癌症研究中的应用。
Annu Rev Biomed Data Sci. 2023 Aug 10;6:1-22. doi: 10.1146/annurev-biodatasci-020722-091857. Epub 2023 Apr 11.
7
Progress of single-cell RNA sequencing combined with spatial transcriptomics in tumour microenvironment and treatment of pancreatic cancer.单细胞RNA测序联合空间转录组学在胰腺癌肿瘤微环境及治疗中的研究进展
J Transl Med. 2024 Jun 12;22(1):563. doi: 10.1186/s12967-024-05307-3.
8
Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues.癌症组织的单细胞 RNA 测序与空间转录组学
Int J Mol Sci. 2022 Mar 11;23(6):3042. doi: 10.3390/ijms23063042.
9
Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors.泛癌系和单细胞转录组谱的整合能够推断异质性肿瘤的治疗弱点。
Cancer Res. 2024 Jun 14;84(12):2021-2033. doi: 10.1158/0008-5472.CAN-23-3005.
10
Single-cell RNA sequencing reveals the tumor microenvironment and facilitates strategic choices to circumvent treatment failure in a chemorefractory bladder cancer patient.单细胞 RNA 测序揭示肿瘤微环境,并为规避化疗耐药性膀胱癌患者治疗失败提供策略选择。
Genome Med. 2020 May 27;12(1):47. doi: 10.1186/s13073-020-00741-6.

引用本文的文献

1
Spatial Transcriptomics Decodes Breast Cancer Microenvironment Heterogeneity: From Multidimensional Dynamic Profiling to Precision Therapy Blueprint Construction.空间转录组学解码乳腺癌微环境异质性:从多维动态分析到精准治疗蓝图构建
Biomolecules. 2025 Jul 24;15(8):1067. doi: 10.3390/biom15081067.
2
High-resolution transcriptome atlas of bladder cancer highlights the functional myeloid subsets in modulating immune microenvironment.膀胱癌的高分辨率转录组图谱揭示了调节免疫微环境的功能性髓系亚群。
EBioMedicine. 2025 Jul;117:105801. doi: 10.1016/j.ebiom.2025.105801. Epub 2025 Jun 24.
3
Expression of PSMD14 in lung adenocarcinoma and its impact on immune cell infiltration and prognosis: a comprehensive analysis based on RNA and single-cell RNA sequencing.

本文引用的文献

1
Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma.肿瘤与免疫重编程在晚期肾细胞癌免疫治疗中的作用
Cancer Cell. 2021 May 10;39(5):649-661.e5. doi: 10.1016/j.ccell.2021.02.015. Epub 2021 Mar 11.
2
Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics.通过单细胞转录组学的克隆追踪鉴定白血病和前白血病干细胞。
Nat Commun. 2021 Mar 1;12(1):1366. doi: 10.1038/s41467-021-21650-1.
3
Decoding the multicellular ecosystem of lung adenocarcinoma manifested as pulmonary subsolid nodules by single-cell RNA sequencing.
PSMD14在肺腺癌中的表达及其对免疫细胞浸润和预后的影响:基于RNA和单细胞RNA测序的综合分析
Front Immunol. 2025 May 22;16:1560693. doi: 10.3389/fimmu.2025.1560693. eCollection 2025.
4
Integrating single-cell with transcriptome-proteome Mendelian randomization reveals colorectal cancer targets.整合单细胞与转录组-蛋白质组孟德尔随机化揭示结直肠癌靶点。
Discov Oncol. 2025 May 17;16(1):794. doi: 10.1007/s12672-025-02636-7.
5
Inflammatory Cell Interactions in the Rotator Cuff Microenvironment: Insights From Single-Cell Sequencing.肩袖微环境中的炎症细胞相互作用:单细胞测序的见解
Int J Genomics. 2025 Apr 15;2025:6175946. doi: 10.1155/ijog/6175946. eCollection 2025.
6
Integrating single-cell sequencing and clinical insights to explore malignant transformation in odontogenic keratocyst.整合单细胞测序与临床见解以探索牙源性角化囊肿的恶性转化。
Comput Struct Biotechnol J. 2025 Mar 18;27:1158-1172. doi: 10.1016/j.csbj.2025.03.027. eCollection 2025.
7
Advancements in pathology: Digital transformation, precision medicine, and beyond.病理学的进展:数字转型、精准医学及其他。
J Pathol Inform. 2024 Nov 19;16:100408. doi: 10.1016/j.jpi.2024.100408. eCollection 2025 Jan.
8
Differential expression of the MYC-Notch axis drives divergent responses to the front-line therapy in central and peripheral extensive-stage small-cell lung cancer.MYC-Notch轴的差异表达驱动了中央型和外周广泛期小细胞肺癌对一线治疗的不同反应。
MedComm (2020). 2025 Feb 18;6(3):e70112. doi: 10.1002/mco2.70112. eCollection 2025 Mar.
9
Spatial transcriptomics reveals unique metabolic profile and key oncogenic regulators of cervical squamous cell carcinoma.空间转录组学揭示了宫颈鳞状细胞癌独特的代谢特征和关键致癌调节因子。
J Transl Med. 2024 Dec 31;22(1):1163. doi: 10.1186/s12967-024-06011-y.
10
Comprehensive analysis of single-cell and bulk RNA sequencing reveals postoperative progression markers for non-muscle invasive bladder cancer and predicts responses to immunotherapy.单细胞和批量RNA测序的综合分析揭示了非肌肉浸润性膀胱癌的术后进展标志物,并预测了免疫治疗反应。
Discov Oncol. 2024 Nov 13;15(1):649. doi: 10.1007/s12672-024-01548-2.
通过单细胞RNA测序解析表现为肺亚实性结节的肺腺癌多细胞生态系统。
Sci Adv. 2021 Jan 27;7(5). doi: 10.1126/sciadv.abd9738. Print 2021 Jan.
4
Single-cell transcriptomic analysis defines the interplay between tumor cells, viral infection, and the microenvironment in nasopharyngeal carcinoma.单细胞转录组分析定义了鼻咽癌肿瘤细胞、病毒感染和微环境之间的相互作用。
Cell Res. 2020 Nov;30(11):950-965. doi: 10.1038/s41422-020-00402-8. Epub 2020 Sep 8.
5
Single-cell transcriptomics identifies a distinct luminal progenitor cell type in distal prostate invagination tips.单细胞转录组学鉴定出远端前列腺内陷尖端的一种独特腔细胞祖细胞类型。
Nat Genet. 2020 Sep;52(9):908-918. doi: 10.1038/s41588-020-0642-1. Epub 2020 Aug 17.
6
Complement Signals Determine Opposite Effects of B Cells in Chemotherapy-Induced Immunity.补体信号决定 B 细胞在化疗诱导免疫中的相反作用。
Cell. 2020 Mar 19;180(6):1081-1097.e24. doi: 10.1016/j.cell.2020.02.015. Epub 2020 Mar 5.
7
Immune Landscape of Viral- and Carcinogen-Driven Head and Neck Cancer.病毒和致癌物驱动的头颈部癌症的免疫景观。
Immunity. 2020 Jan 14;52(1):183-199.e9. doi: 10.1016/j.immuni.2019.11.014. Epub 2020 Jan 7.
8
B Cells and T Follicular Helper Cells Mediate Response to Checkpoint Inhibitors in High Mutation Burden Mouse Models of Breast Cancer.B 细胞和 T 滤泡辅助细胞介导乳腺癌高突变负荷小鼠模型对检查点抑制剂的反应。
Cell. 2019 Nov 14;179(5):1191-1206.e21. doi: 10.1016/j.cell.2019.10.028.
9
Single-cell RNA-sequencing of migratory breast cancer cells: discovering genes associated with cancer metastasis.单细胞 RNA 测序在迁移性乳腺癌细胞中的应用:发现与癌症转移相关的基因。
Analyst. 2019 Dec 2;144(24):7296-7309. doi: 10.1039/c9an01358j.
10
Clonally Expanded T Cells Reveal Immunogenicity of Rhabdoid Tumors.克隆扩增的 T 细胞揭示横纹肌瘤的免疫原性。
Cancer Cell. 2019 Dec 9;36(6):597-612.e8. doi: 10.1016/j.ccell.2019.10.008. Epub 2019 Nov 7.