• 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

质谱单细胞代谢组学:准备好迎接黄金时代了吗?

Single-cell metabolomics by mass spectrometry: ready for primetime?

机构信息

Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands.

Division of Drug Discovery and Safety, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands.

出版信息

Curr Opin Biotechnol. 2023 Aug;82:102963. doi: 10.1016/j.copbio.2023.102963. Epub 2023 Jun 23.

DOI:10.1016/j.copbio.2023.102963
PMID:37356380
Abstract

Single-cell metabolomics (SCMs) is a powerful tool for studying cellular heterogeneity by providing insight into the differences between individual cells. With the development of a set of promising SCMs pipelines, this maturing technology is expected to be widely used in biomedical research. However, before SCMs is ready for primetime, there are some challenges to overcome. In this review, we summarize the trends and challenges in the development of SCMs. We also highlight the latest methodologies, applications, and sketch the perspective for integration with other omics and imaging approaches.

摘要

单细胞代谢组学(SCMs)是一种强大的工具,通过深入了解单个细胞之间的差异,为研究细胞异质性提供了线索。随着一组有前途的 SCMs 管道的发展,这项成熟的技术有望在生物医学研究中得到广泛应用。然而,在 SCMs 准备好大放异彩之前,还有一些挑战需要克服。在这篇综述中,我们总结了 SCMs 发展的趋势和挑战。我们还强调了最新的方法学、应用,并勾勒出与其他组学和成像方法相结合的前景。

相似文献

1
Single-cell metabolomics by mass spectrometry: ready for primetime?质谱单细胞代谢组学:准备好迎接黄金时代了吗?
Curr Opin Biotechnol. 2023 Aug;82:102963. doi: 10.1016/j.copbio.2023.102963. Epub 2023 Jun 23.
2
Chemical tagging mass spectrometry: an approach for single-cell omics.化学标记质谱法:一种单细胞组学研究方法。
Anal Bioanal Chem. 2023 Nov;415(28):6901-6913. doi: 10.1007/s00216-023-04850-0. Epub 2023 Jul 19.
3
Ten Major Future Challenges in Single-Cell Metabolomics.单细胞代谢组学未来面临的十大挑战
Methods Mol Biol. 2020;2064:219-223. doi: 10.1007/978-1-4939-9831-9_16.
4
Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning.基于单细胞代谢组学的化疗诱导耐药性早期监测:单细胞探针质谱与机器学习相结合。
Anal Chim Acta. 2019 Dec 27;1092:42-48. doi: 10.1016/j.aca.2019.09.065. Epub 2019 Sep 25.
5
Single-Cell Metabolomics by Mass Spectrometry.基于质谱的单细胞代谢组学
Methods Mol Biol. 2020;2064:1-8. doi: 10.1007/978-1-4939-9831-9_1.
6
New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells.新技术助力单细胞组学分析全面且高通量
Analyst. 2019 Jan 28;144(3):794-807. doi: 10.1039/c8an01574k.
7
Advances in mass spectrometry based single-cell metabolomics.基于质谱的单细胞代谢组学进展。
Analyst. 2019 Jan 28;144(3):782-793. doi: 10.1039/c8an01581c.
8
Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.单细胞的空间分辨质谱分析:蛋白质组学和代谢组学的最新进展。
J Am Soc Mass Spectrom. 2021 Apr 7;32(4):872-894. doi: 10.1021/jasms.0c00439. Epub 2021 Mar 3.
9
MassLite: An integrated python platform for single cell mass spectrometry metabolomics data pretreatment with graphical user interface and advanced peak alignment method.MassLite:一个集成的 Python 平台,用于单细胞质谱代谢组学数据的预处理,具有图形用户界面和先进的峰对齐方法。
Anal Chim Acta. 2024 Oct 9;1325:343124. doi: 10.1016/j.aca.2024.343124. Epub 2024 Aug 20.
10
Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling.基于液质联用成像的质谱流式细胞术用于空间分辨单细胞代谢组分析。
Nat Methods. 2024 Oct;21(10):1796-1800. doi: 10.1038/s41592-024-02392-6. Epub 2024 Aug 29.

引用本文的文献

1
Single-cell Raman and mass spectrometry analysis to probe cellular heterogeneity in tamoxifen uptake and metabolism.单细胞拉曼光谱和质谱分析以探究他莫昔芬摄取和代谢中的细胞异质性。
Anal Bioanal Chem. 2025 Aug 14. doi: 10.1007/s00216-025-06058-w.
2
Current cutting-edge omics techniques on musculoskeletal tissues and diseases.当前用于肌肉骨骼组织和疾病的前沿组学技术。
Bone Res. 2025 Jun 9;13(1):59. doi: 10.1038/s41413-025-00442-z.
3
Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM.
基于质谱的代谢组学是揭示中药成分和作用机制的有力工具。
Chin Med. 2025 May 12;20(1):62. doi: 10.1186/s13020-025-01112-2.
4
MMEASE: enhanced analytical workflow for single-cell metabolomics.MMEASE:用于单细胞代谢组学的增强型分析工作流程。
Nucleic Acids Res. 2025 Jul 7;53(W1):W390-W397. doi: 10.1093/nar/gkaf363.
5
Unlocking the Heterogeneity in Acute Leukaemia: Dissection of Clonal Architecture and Metabolic Properties for Clinical Interventions.揭示急性白血病的异质性:剖析克隆结构和代谢特性以用于临床干预
Int J Mol Sci. 2024 Dec 24;26(1):45. doi: 10.3390/ijms26010045.
6
Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.基于质谱的单细胞代谢组学研究进展——综述
J Proteome Res. 2025 Apr 4;24(4):1493-1518. doi: 10.1021/acs.jproteome.4c00646. Epub 2024 Oct 22.
7
SCMeTA: a pipeline for single-cell metabolic analysis data processing.SCMeTA:单细胞代谢分析数据处理流水线。
Bioinformatics. 2024 Sep 2;40(9). doi: 10.1093/bioinformatics/btae545.