Suppr超能文献

SCENITH:一种基于流式细胞术的单细胞分辨率功能能量代谢分析方法。

SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution.

机构信息

Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France.

Department of Pathology, University of California, San Francisco, San Francisco, CA, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA, USA.

出版信息

Cell Metab. 2020 Dec 1;32(6):1063-1075.e7. doi: 10.1016/j.cmet.2020.11.007.

Abstract

Energetic metabolism reprogramming is critical for cancer and immune responses. Current methods to functionally profile the global metabolic capacities and dependencies of cells are performed in bulk. We designed a simple method for complex metabolic profiling called SCENITH, for single-cell energetic metabolism by profiling translation inhibition. SCENITH allows for the study of metabolic responses in multiple cell types in parallel by flow cytometry. SCENITH is designed to perform metabolic studies ex vivo, particularly for rare cells in whole blood samples, avoiding metabolic biases introduced by culture media. We analyzed myeloid cells in solid tumors from patients and identified variable metabolic profiles, in ways that are not linked to their lineage or their activation phenotype. SCENITH's ability to reveal global metabolic functions and determine complex and linked immune-phenotypes in rare cell subpopulations will contribute to the information needed for evaluating therapeutic responses or patient stratification.

摘要

能量代谢重编程对癌症和免疫反应至关重要。目前用于功能分析细胞全局代谢能力和依赖性的方法都是在批量水平上进行的。我们设计了一种名为 SCENITH 的简单方法,用于通过抑制翻译来进行单细胞能量代谢的复杂代谢特征分析。SCENITH 通过流式细胞术允许对多种细胞类型的代谢反应进行平行研究。SCENITH 旨在进行离体代谢研究,特别是针对全血样本中的稀有细胞,避免了由培养基引入的代谢偏差。我们分析了来自患者实体瘤中的髓样细胞,并确定了不同的代谢特征,这些特征与它们的谱系或激活表型无关。SCENITH 能够揭示全局代谢功能,并确定稀有细胞亚群中复杂且相关的免疫表型,这将有助于评估治疗反应或患者分层所需的信息。

相似文献

引用本文的文献

7
Cell type-specific purifying selection of synonymous mitochondrial DNA variation.线粒体DNA同义变异的细胞类型特异性纯化选择
Proc Natl Acad Sci U S A. 2025 Jul 29;122(30):e2505704122. doi: 10.1073/pnas.2505704122. Epub 2025 Jul 24.
8
Soft matter mechanics of immune cell aggregates.免疫细胞聚集体的软物质力学
J R Soc Interface. 2025 Jul;22(228):20250231. doi: 10.1098/rsif.2025.0231. Epub 2025 Jul 23.
9
Decoding sex differences in human immunity through systems immunology.通过系统免疫学解析人类免疫中的性别差异。
Oxf Open Immunol. 2025 Jul 4;6(1):iqaf006. doi: 10.1093/oxfimm/iqaf006. eCollection 2025.

本文引用的文献

1
Immunometabolism in the Single-Cell Era.单细胞时代的免疫代谢。
Cell Metab. 2020 Nov 3;32(5):710-725. doi: 10.1016/j.cmet.2020.09.013. Epub 2020 Oct 6.
2
Single-cell metabolic profiling of human cytotoxic T cells.人类细胞毒性 T 细胞的单细胞代谢特征分析。
Nat Biotechnol. 2021 Feb;39(2):186-197. doi: 10.1038/s41587-020-0651-8. Epub 2020 Aug 31.
5
Macrophages and Metabolism in the Tumor Microenvironment.肿瘤微环境中的巨噬细胞和代谢
Cell Metab. 2019 Jul 2;30(1):36-50. doi: 10.1016/j.cmet.2019.06.001.
6
Metabolic Control of Dendritic Cell Functions: Digesting Information.代谢控制树突状细胞功能:信息消化。
Front Immunol. 2019 Apr 25;10:775. doi: 10.3389/fimmu.2019.00775. eCollection 2019.
7
Metabolic interventions in the immune response to cancer.代谢干预在癌症免疫反应中的作用。
Nat Rev Immunol. 2019 May;19(5):324-335. doi: 10.1038/s41577-019-0140-9.

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