SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution.
SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution.
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DOI：
10.1016/j.cmet.2020.11.007
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发表时间：
2020-12-01
期刊：
影响因子：
29
通讯作者：
Pierre P
中科院分区：
文献类型：
--
作者：
Argüello RJ;Combes AJ;Char R;Gigan JP;Baaziz AI;Bousiquot E;Camosseto V;Samad B;Tsui J;Yan P;Boissonneau S;Figarella-Branger D;Gatti E;Tabouret E;Krummel MF;Pierre P
能量代谢重编程对癌症和免疫反应至关重要。目前用于功能性地分析细胞的整体代谢能力和依赖性的方法是批量进行的。我们设计了一种简单的方法，用于复杂的代谢谱分析，称为SCENITH，用于单细胞ENergetIc代谢，通过在hibition中分析翻译。SCENITH允许通过流式细胞术平行研究多种细胞类型的代谢反应。SCENITH旨在进行离体代谢研究，特别是全血样本中的稀有细胞，避免培养基引入的代谢偏倚。我们分析了来自患者的实体瘤中的髓样细胞，并以与其谱系或其活化表型无关的方式鉴定了可变的代谢谱。SCENITH能够揭示整体代谢功能，并确定罕见细胞亚群中复杂和相关的免疫表型，这将有助于提供评估治疗反应或患者分层所需的信息。Argüello R.J.等人开发了一种功能测定法，用于定量多种细胞类型的总体代谢依赖性和能力，同时进行单细胞分辨率。将SCENITH直接应用于全血和人类肿瘤样本，他们可以识别肿瘤和近肿瘤相关免疫细胞之间的代谢差异。
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 nor their activation phenotype. SCENITH 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. Argüello R.J. et al. develop a functional assay to quantify global metabolic dependencies and capacities of multiple cell types in parallel with single cell resolution. Applying SCENITH directly to whole blood and human tumor samples they identify metabolic differences between tumor and juxta-tumor associated immune cells.
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影响因子：
4.6
作者：
Attar M;Sharma E;Li S;Bryer C;Cubitt L;Broxholme J;Lockstone H;Kinchen J;Simmons A;Piazza P;Buck D;Livak KJ;Bowden R
通讯作者：
Bowden R
影响因子：
11.4
作者：
Llufrio EM;Wang L;Naser FJ;Patti GJ
通讯作者：
Patti GJ
影响因子：
20.3
作者：
Everts, Bart;Amiel, Eyal;Pearce, Edward J.
通讯作者：
Pearce, Edward J.
影响因子：
48
作者：
Palmer, Andrew;Phapale, Prasad;Alexandrov, Theodore
通讯作者：
Alexandrov, Theodore
影响因子：
3.7
作者：
ROOS, D;LOOS, JA
通讯作者：
LOOS, JA