• 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 RNA 测序:为乳腺癌研究开辟新视野。

Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research.

机构信息

Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China.

出版信息

Int J Mol Sci. 2024 Aug 31;25(17):9482. doi: 10.3390/ijms25179482.

DOI:10.3390/ijms25179482
PMID:39273429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11395021/
Abstract

Breast cancer is the most prevalent malignant tumor among women with high heterogeneity. Traditional techniques frequently struggle to comprehensively capture the intricacy and variety of cellular states and interactions within breast cancer. As global precision medicine rapidly advances, single-cell RNA sequencing (scRNA-seq) has become a highly effective technique, revolutionizing breast cancer research by offering unprecedented insights into the cellular heterogeneity and complexity of breast cancer. This cutting-edge technology facilitates the analysis of gene expression profiles at the single-cell level, uncovering diverse cell types and states within the tumor microenvironment. By dissecting the cellular composition and transcriptional signatures of breast cancer cells, scRNA-seq provides new perspectives for understanding the mechanisms behind tumor therapy, drug resistance and metastasis in breast cancer. In this review, we summarized the working principle and workflow of scRNA-seq and emphasized the major applications and discoveries of scRNA-seq in breast cancer research, highlighting its impact on our comprehension of breast cancer biology and its potential for guiding personalized treatment strategies.

摘要

乳腺癌是女性中最常见的恶性肿瘤,具有高度异质性。传统技术常常难以全面捕捉乳腺癌中细胞状态和相互作用的复杂性和多样性。随着全球精准医学的快速发展,单细胞 RNA 测序(scRNA-seq)已成为一种非常有效的技术,通过提供对乳腺癌细胞异质性和复杂性的前所未有的见解,彻底改变了乳腺癌的研究。这项前沿技术促进了在单细胞水平上分析基因表达谱,揭示了肿瘤微环境中多样化的细胞类型和状态。通过剖析乳腺癌细胞的细胞组成和转录特征,scRNA-seq 为理解肿瘤治疗、乳腺癌耐药和转移背后的机制提供了新的视角。在这篇综述中,我们总结了 scRNA-seq 的工作原理和工作流程,并强调了 scRNA-seq 在乳腺癌研究中的主要应用和发现,突出了其对我们理解乳腺癌生物学的影响及其指导个性化治疗策略的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/360558cb0a3d/ijms-25-09482-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/71a490ec2b42/ijms-25-09482-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/9661761d72ee/ijms-25-09482-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/360558cb0a3d/ijms-25-09482-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/71a490ec2b42/ijms-25-09482-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/9661761d72ee/ijms-25-09482-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11395021/360558cb0a3d/ijms-25-09482-g003.jpg

相似文献

1
Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research.单细胞 RNA 测序:为乳腺癌研究开辟新视野。
Int J Mol Sci. 2024 Aug 31;25(17):9482. doi: 10.3390/ijms25179482.
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
Single-Cell RNA Sequencing: Technological Progress and Biomedical Application in Cancer Research.单细胞 RNA 测序:技术进展及在癌症研究中的生物医学应用。
Mol Biotechnol. 2024 Jul;66(7):1497-1519. doi: 10.1007/s12033-023-00777-0. Epub 2023 Jun 15.
5
Single-cell RNA sequencing to map tumor heterogeneity in gastric carcinogenesis paving roads to individualized therapy.单细胞 RNA 测序绘制胃癌发生过程中的肿瘤异质性图谱,为个体化治疗铺平道路。
Cancer Immunol Immunother. 2024 Sep 13;73(11):233. doi: 10.1007/s00262-024-03820-4.
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
Comprehensive description of the current breast cancer microenvironment advancements via single-cell analysis.通过单细胞分析全面描述当前乳腺癌微环境的进展。
J Exp Clin Cancer Res. 2021 Apr 27;40(1):142. doi: 10.1186/s13046-021-01949-z.
8
Dissecting the heterogeneity and tumorigenesis of BRCA1 deficient mammary tumors via single cell RNA sequencing.通过单细胞 RNA 测序解析 BRCA1 缺陷型乳腺肿瘤的异质性和肿瘤发生机制。
Theranostics. 2021 Oct 25;11(20):9967-9987. doi: 10.7150/thno.63995. eCollection 2021.
9
Single-cell RNA sequencing in cancer research.癌症研究中的单细胞RNA测序
J Exp Clin Cancer Res. 2021 Mar 1;40(1):81. doi: 10.1186/s13046-021-01874-1.
10
Unveiling major histocompatibility complex-mediated pan-cancer immune features by integrated single-cell and bulk RNA sequencing.通过整合单细胞和批量 RNA 测序揭示主要组织相容性复合体介导的泛癌免疫特征。
Cancer Lett. 2024 Aug 10;597:217062. doi: 10.1016/j.canlet.2024.217062. Epub 2024 Jun 13.

引用本文的文献

1
Systematic screening of metabolic pathways to identify two breast cancer subtypes with divergent immune characteristics.对代谢途径进行系统筛查,以识别具有不同免疫特征的两种乳腺癌亚型。
Sci Rep. 2025 Jul 1;15(1):20996. doi: 10.1038/s41598-025-05179-7.
2
Multidrug Resistance: Are We Still Afraid of the Big Bad Wolf.多重耐药性:我们还怕那只大坏狼吗?
Pharmaceuticals (Basel). 2025 Jun 14;18(6):895. doi: 10.3390/ph18060895.
3
Integrating Machine Learning and Bulk and Single-Cell RNA Sequencing to Decipher Diverse Cell Death Patterns for Predicting the Prognosis of Neoadjuvant Chemotherapy in Breast Cancer.

本文引用的文献

1
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics.利用单细胞和空间转录组学分析细胞身份和组织结构。
Nat Rev Mol Cell Biol. 2025 Jan;26(1):11-31. doi: 10.1038/s41580-024-00768-2. Epub 2024 Aug 21.
2
Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.单细胞转录组学和机器学习整合预测乳腺癌预后:基于自然杀伤细胞相关基因的研究。
J Cell Mol Med. 2024 Aug;28(15):e18549. doi: 10.1111/jcmm.18549.
3
Unveiling heterogeneity and prognostic markers in ductal breast cancer through single-cell RNA-seq.
整合机器学习与批量及单细胞RNA测序以解析多种细胞死亡模式用于预测乳腺癌新辅助化疗的预后
Int J Mol Sci. 2025 Apr 13;26(8):3682. doi: 10.3390/ijms26083682.
4
Identification of potential novel targets for treating inflammatory bowel disease using Mendelian randomization analysis.利用孟德尔随机化分析鉴定治疗炎症性肠病的潜在新靶点。
Int J Colorectal Dis. 2024 Oct 16;39(1):165. doi: 10.1007/s00384-024-04744-2.
通过单细胞RNA测序揭示乳腺导管癌的异质性和预后标志物
Cancer Cell Int. 2024 Jul 27;24(1):266. doi: 10.1186/s12935-024-03325-1.
4
The heterogeneity of breast cancer metastasis: a bioinformatics analysis utilizing single-cell RNA sequencing data.乳腺癌转移的异质性:利用单细胞 RNA 测序数据的生物信息学分析。
Breast Cancer Res Treat. 2024 Nov;208(2):379-390. doi: 10.1007/s10549-024-07428-1. Epub 2024 Jul 11.
5
High-dimensional single-cell analysis of human natural killer cell heterogeneity.人类自然杀伤细胞异质性的高维单细胞分析
Nat Immunol. 2024 Aug;25(8):1474-1488. doi: 10.1038/s41590-024-01883-0. Epub 2024 Jul 2.
6
scRNA-seq characterizing the heterogeneity of fibroblasts in breast cancer reveals a novel subtype SFRP4 CAF that inhibits migration and predicts prognosis.单细胞RNA测序表征乳腺癌中成纤维细胞的异质性,揭示了一种新型的SFRP4癌相关成纤维细胞亚型,其可抑制迁移并预测预后。
Front Oncol. 2024 Apr 15;14:1348299. doi: 10.3389/fonc.2024.1348299. eCollection 2024.
7
Deciphering the spatial landscape and plasticity of immunosuppressive fibroblasts in breast cancer.解析乳腺癌中免疫抑制成纤维细胞的空间景观和可塑性。
Nat Commun. 2024 Apr 1;15(1):2806. doi: 10.1038/s41467-024-47068-z.
8
Integrated single-cell and bulk RNA sequencing analysis identifies a neoadjuvant chemotherapy-related gene signature for predicting survival and therapy in breast cancer.整合单细胞和 bulk RNA 测序分析鉴定出一个新辅助化疗相关基因特征,可用于预测乳腺癌的生存和治疗反应。
BMC Med Genomics. 2023 Nov 23;16(1):300. doi: 10.1186/s12920-023-01727-0.
9
Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescence.提出一种新的分子亚型方案,用于预测乳腺癌新辅助化疗后远处无复发生存率,与代谢和衰老密切相关。
Front Endocrinol (Lausanne). 2023 Oct 12;14:1265520. doi: 10.3389/fendo.2023.1265520. eCollection 2023.
10
Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment.泛癌空间分辨单细胞分析揭示了肿瘤相关成纤维细胞与肿瘤微环境之间的相互作用。
Mol Cancer. 2023 Oct 13;22(1):170. doi: 10.1186/s12943-023-01876-x.