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一个描述糖酵解抑制剂克服寡霉素处理细胞中最大线粒体氧消耗率低估现象的数据集。

A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells.

作者信息

Ruas Juliana S, Siqueira-Santos Edilene S, Navarro Claudia D C, Castilho Roger F

机构信息

Department of Pathology, Faculty of Medical Sciences, University of Campinas (UNICAMP), Campinas, SP 13083-887, Brazil.

出版信息

Data Brief. 2021 Dec 22;40:107739. doi: 10.1016/j.dib.2021.107739. eCollection 2022 Feb.

Abstract

Determination of oxygen consumption is one of the most valuable methodologies to evaluate mitochondrial (dys)function. Previous studies demonstrated that a widely used protocol, consisting of adding the ATP synthase inhibitor oligomycin before mitochondrial respiratory uncoupling by sequential addition of a protonophore (e.g., carbonyl cyanide 3-chlorophenyl hydrazone [CCCP]), may lead to underestimation of maximal oxygen consumption rate (OCR) and spare respiratory capacity (SRC) parameters in highly glycolytic tumor cell lines. In this dataset, we report the effects of the glycolytic inhibitors 2-deoxy-D-glucose, iodoacetic acid, and lonidamine on overcoming the underestimation of OCR and SRC in oligomycin-treated cells. We propose a protocol in which 2-deoxy-D-glucose is added after oligomycin and just before the sequential addition of CCCP to avoid underestimation of OCR and SRC parameters in A549, C2C12, and T98G cells. The oxygen consumption rates were determined in intact suspended cell lines using a high-resolution oxygraph device. The data can be used in several fields of research that require characterization of mitochondrial respiratory parameters in intact cells.

摘要

测定氧消耗量是评估线粒体(功能障碍)功能最有价值的方法之一。先前的研究表明,一种广泛使用的方案,即在通过依次添加质子载体(如羰基氰3-氯苯腙[CCCP])使线粒体呼吸解偶联之前添加ATP合酶抑制剂寡霉素,可能会导致高度糖酵解的肿瘤细胞系中最大氧消耗率(OCR)和备用呼吸能力(SRC)参数被低估。在这个数据集中,我们报告了糖酵解抑制剂2-脱氧-D-葡萄糖、碘乙酸和氯尼达明对克服寡霉素处理细胞中OCR和SRC低估的影响。我们提出了一种方案,即在寡霉素之后且在依次添加CCCP之前添加2-脱氧-D-葡萄糖,以避免A549、C2C12和T98G细胞中OCR和SRC参数被低估。使用高分辨率氧电极装置在完整的悬浮细胞系中测定氧消耗率。这些数据可用于需要对完整细胞中线粒体呼吸参数进行表征的多个研究领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d12/8718714/504cf84237ec/gr1.jpg

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