• 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

单细胞和空间基因组学的进展与应用

Advances and applications in single-cell and spatial genomics.

作者信息

Wang Jingjing, Ye Fang, Chai Haoxi, Jiang Yujia, Wang Teng, Ran Xia, Xia Qimin, Xu Ziye, Fu Yuting, Zhang Guodong, Wu Hanyu, Guo Guoji, Guo Hongshan, Ruan Yijun, Wang Yongcheng, Xing Dong, Xu Xun, Zhang Zemin

机构信息

Bone Marrow Transplantation Center of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 310058, China.

Life Sciences Institute and The Second Affiliated Hospital, Zhejiang University, Hangzhou, 310058, China.

出版信息

Sci China Life Sci. 2024 Dec 20. doi: 10.1007/s11427-024-2770-x.

DOI:10.1007/s11427-024-2770-x
PMID:39792333
Abstract

The applications of single-cell and spatial technologies in recent times have revolutionized the present understanding of cellular states and the cellular heterogeneity inherent in complex biological systems. These advancements offer unprecedented resolution in the examination of the functional genomics of individual cells and their spatial context within tissues. In this review, we have comprehensively discussed the historical development and recent progress in the field of single-cell and spatial genomics. We have reviewed the breakthroughs in single-cell multi-omics technologies, spatial genomics methods, and the computational strategies employed toward the analyses of single-cell atlas data. Furthermore, we have highlighted the advances made in constructing cellular atlases and their clinical applications, particularly in the context of disease. Finally, we have discussed the emerging trends, challenges, and opportunities in this rapidly evolving field.

摘要

近年来,单细胞和空间技术的应用彻底改变了我们目前对细胞状态以及复杂生物系统中固有细胞异质性的理解。这些进展为检查单个细胞的功能基因组学及其在组织中的空间背景提供了前所未有的分辨率。在这篇综述中,我们全面讨论了单细胞和空间基因组学领域的历史发展和最新进展。我们回顾了单细胞多组学技术、空间基因组学方法以及用于分析单细胞图谱数据的计算策略方面的突破。此外,我们强调了在构建细胞图谱及其临床应用方面取得的进展,特别是在疾病背景下。最后,我们讨论了这个快速发展领域中的新兴趋势、挑战和机遇。

相似文献

1
Advances and applications in single-cell and spatial genomics.单细胞和空间基因组学的进展与应用
Sci China Life Sci. 2024 Dec 20. doi: 10.1007/s11427-024-2770-x.
2
Exploring the untapped potential of single-cell and spatial omics in plant biology.探索单细胞和空间组学在植物生物学中尚未开发的潜力。
New Phytol. 2025 May 21. doi: 10.1111/nph.70220.
3
Beyond the Heartbeat: Single-Cell Omics Redefining Cardiovascular Research.超越心跳:单细胞组学重新定义心血管研究。
Curr Cardiol Rep. 2024 Nov;26(11):1183-1196. doi: 10.1007/s11886-024-02117-3. Epub 2024 Aug 19.
4
Unveiling Long Non-coding RNA Networks from Single-Cell Omics Data Through Artificial Intelligence.通过人工智能从单细胞组学数据中揭示长链非编码RNA网络
Methods Mol Biol. 2025;2883:257-279. doi: 10.1007/978-1-0716-4290-0_11.
5
Single-Cell Multi-Omics: Insights into Therapeutic Innovations to Advance Treatment in Cancer.单细胞多组学:对推动癌症治疗进展的治疗创新的见解
Int J Mol Sci. 2025 Mar 9;26(6):2447. doi: 10.3390/ijms26062447.
6
Droplet-based single-cell sequencing: Strategies and applications.基于液滴的单细胞测序:策略与应用。
Biotechnol Adv. 2024 Dec;77:108454. doi: 10.1016/j.biotechadv.2024.108454. Epub 2024 Sep 11.
7
Spatial Omics in Clinical Research: A Comprehensive Review of Technologies and Guidelines for Applications.临床研究中的空间组学:技术与应用指南综述
Int J Mol Sci. 2025 Apr 22;26(9):3949. doi: 10.3390/ijms26093949.
8
Network modeling of single-cell omics data: challenges, opportunities, and progresses.单细胞组学数据的网络建模:挑战、机遇与进展。
Emerg Top Life Sci. 2019 Aug;3(4):379-398. doi: 10.1042/etls20180176. Epub 2019 Jul 8.
9
Computational modelling in single-cell cancer genomics: methods and future directions.单细胞癌症基因组学中的计算建模:方法与未来方向。
Phys Biol. 2020 Sep 19;17(6):061001. doi: 10.1088/1478-3975/abacfe.
10
The frontier of precision medicine: application of single-cell multi-omics in preimplantation genetic diagnosis.精准医学前沿:单细胞多组学在植入前基因诊断中的应用
Brief Funct Genomics. 2024 Dec 6;23(6):726-732. doi: 10.1093/bfgp/elae041.

引用本文的文献

1
Decoding adenomyosis pathogenesis using an assembloid model.使用组装体模型解码子宫腺肌病的发病机制。
Sci China Life Sci. 2025 Aug 28. doi: 10.1007/s11427-025-2981-1.
2
Advanced omics approaches in liver transplant settings: current applications and future prospectives.肝移植环境中的先进组学方法:当前应用与未来展望。
Front Immunol. 2025 Jul 11;16:1564248. doi: 10.3389/fimmu.2025.1564248. eCollection 2025.
3
Progress in Transcriptomics and Metabolomics in Plant Responses to Abiotic Stresses.植物对非生物胁迫响应的转录组学和代谢组学进展

本文引用的文献

1
Elucidating the developmental dynamics of mouse stromal cells at single-cell level.在单细胞水平上阐明小鼠基质细胞的发育动态。
Life Med. 2022 Sep 5;1(1):45-48. doi: 10.1093/lifemedi/lnac037. eCollection 2022 Aug.
2
Systematic comparison of sequencing-based spatial transcriptomic methods.基于测序的空间转录组学方法的系统比较。
Nat Methods. 2024 Sep;21(9):1743-1754. doi: 10.1038/s41592-024-02325-3. Epub 2024 Jul 4.
3
Open-ST: High-resolution spatial transcriptomics in 3D.Open-ST:三维高分辨率空间转录组学
Curr Issues Mol Biol. 2025 Jun 5;47(6):421. doi: 10.3390/cimb47060421.
4
Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.单细胞技术与空间转录组学:解码子宫内膜癌中的免疫低反应状态
Front Immunol. 2025 Jul 2;16:1636483. doi: 10.3389/fimmu.2025.1636483. eCollection 2025.
5
Multi-omics decodes host-specific and environmental microbiome interactions in sepsis.多组学解析脓毒症中宿主特异性和环境微生物组的相互作用。
Front Microbiol. 2025 Jun 26;16:1618177. doi: 10.3389/fmicb.2025.1618177. eCollection 2025.
6
Application of single-cell and spatial omics in deciphering cellular hallmarks of cancer drug response and resistance.单细胞和空间组学在解读癌症药物反应和耐药性细胞特征中的应用。
J Hematol Oncol. 2025 Jul 2;18(1):70. doi: 10.1186/s13045-025-01722-1.
7
Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system.多组学分析构建了一种新型的神经内分泌前列腺癌分类器和分类系统。
Sci Rep. 2025 Apr 22;15(1):13901. doi: 10.1038/s41598-025-96683-3.
8
HKDC1 promotes ovarian cancer progression through boosting lipid metabolism and immune escape by stabilizing G6PC/G6PC2.HKDC1通过稳定G6PC/G6PC2促进脂质代谢和免疫逃逸,从而推动卵巢癌进展。
Commun Biol. 2025 Apr 16;8(1):615. doi: 10.1038/s42003-025-08031-w.
9
High-throughput untargeted metabolomic profiling of urinary biomarkers in acute myocarditis patients: a cross-sectional study.急性心肌炎患者尿液生物标志物的高通量非靶向代谢组学分析:一项横断面研究。
Sci Rep. 2025 Mar 18;15(1):9254. doi: 10.1038/s41598-025-93655-5.
10
Disruption and adaptation: infant gut microbiota's dynamic response to SARS-CoV-2 infection.破坏与适应:婴儿肠道微生物群对新冠病毒感染的动态反应
Microbiome. 2025 Mar 11;13(1):72. doi: 10.1186/s40168-025-02029-6.
Cell. 2024 Jul 25;187(15):3953-3972.e26. doi: 10.1016/j.cell.2024.05.055. Epub 2024 Jun 24.
4
Large-scale foundation model on single-cell transcriptomics.单细胞转录组学的大规模基础模型。
Nat Methods. 2024 Aug;21(8):1481-1491. doi: 10.1038/s41592-024-02305-7. Epub 2024 Jun 6.
5
Single-cell nascent RNA sequencing unveils coordinated global transcription.单细胞新生 RNA 测序揭示了协调的全局转录。
Nature. 2024 Jul;631(8019):216-223. doi: 10.1038/s41586-024-07517-7. Epub 2024 Jun 5.
6
Cross-species single-cell analysis uncovers the immunopathological mechanisms associated with IgA nephropathy progression.跨物种单细胞分析揭示了与 IgA 肾病进展相关的免疫病理机制。
JCI Insight. 2024 May 8;9(9):e173651. doi: 10.1172/jci.insight.173651.
7
Simultaneous single-cell three-dimensional genome and gene expression profiling uncovers dynamic enhancer connectivity underlying olfactory receptor choice.同步单细胞三维基因组和基因表达谱分析揭示了嗅觉受体选择背后的动态增强子连接性。
Nat Methods. 2024 Jun;21(6):974-982. doi: 10.1038/s41592-024-02239-0. Epub 2024 Apr 15.
8
Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones.空间转录组学揭示了卵巢癌亚克隆内离散的肿瘤微环境和自分泌环。
Nat Commun. 2024 Apr 3;15(1):2860. doi: 10.1038/s41467-024-47271-y.
9
Fast and flexible profiling of chromatin accessibility and total RNA expression in single nuclei using Microwell-seq3.使用Microwell-seq3对单细胞核中的染色质可及性和总RNA表达进行快速灵活的分析。
Cell Discov. 2024 Mar 26;10(1):33. doi: 10.1038/s41421-023-00642-z.
10
Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis.在单细胞RNA测序分析中评估GPT-4用于细胞类型注释
Nat Methods. 2024 Aug;21(8):1462-1465. doi: 10.1038/s41592-024-02235-4. Epub 2024 Mar 25.