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使用海马XF96细胞外通量分析仪比较人类多能干细胞和分化细胞中的能量代谢

Energy Metabolism in Human Pluripotent Stem and Differentiated Cells Compared Using a Seahorse XF96 Extracellular Flux Analyzer.

作者信息

Kim Hyun Kyu, Song Yena, Kye Minji, Yu Byeongho, Park Sang Beom, Kim Ji Hyeon, Moon Sung-Hwan, Choi Hyungkyu, Moon Jong-Seok, Oh Jae Sang, Lee Man Ryul

机构信息

Soonchunhyang Institute of Medi-bio Science (SIMS), Soon Chun Hyang University, Cheonan, Korea.

Dementia Research Group, Korea Brain Research Institute (KBRI), Daegu, Korea.

出版信息

Int J Stem Cells. 2024 May 30;17(2):194-203. doi: 10.15283/ijsc23167. Epub 2024 Apr 26.

Abstract

Evaluating cell metabolism is crucial during pluripotent stem cell (PSC) differentiation and somatic cell reprogramming as it affects cell fate. As cultured stem cells are heterogeneous, a comparative analysis of relative metabolism using existing metabolic analysis methods is difficult, resulting in inaccuracies. In this study, we measured human PSC basal metabolic levels using a Seahorse analyzer. We used fibroblasts, human induced PSCs, and human embryonic stem cells to monitor changes in basal metabolic levels according to cell number and determine the number of cells suitable for analysis. We evaluated normalization methods using glucose and selected the most suitable for the metabolic analysis of heterogeneous PSCs during the reprogramming stage. The response of fibroblasts to glucose increased with starvation time, with oxygen consumption rate and extracellular acidification rate responding most effectively to glucose 4 hours after starvation and declining after 5 hours of starvation. Fibroblasts and PSCs achieved appropriate responses to glucose without damaging their metabolism 2∼4 and 2∼3 hours after starvation, respectively. We developed a novel method for comparing basal metabolic rates of fibroblasts and PSCs, focusing on quantitative analysis of glycolysis and oxidative phosphorylation using glucose without enzyme inhibitors. This protocol enables efficient comparison of energy metabolism among cell types, including undifferentiated PSCs, differentiated cells, and cells undergoing cellular reprogramming, and addresses critical issues, such as differences in basal metabolic levels and sensitivity to normalization, providing valuable insights into cellular energetics.

摘要

评估细胞代谢在多能干细胞(PSC)分化和体细胞重编程过程中至关重要,因为它会影响细胞命运。由于培养的干细胞具有异质性,使用现有的代谢分析方法对相对代谢进行比较分析很困难,从而导致结果不准确。在本研究中,我们使用海马分析仪测量了人类PSC的基础代谢水平。我们使用成纤维细胞、人类诱导多能干细胞和人类胚胎干细胞来监测基础代谢水平随细胞数量的变化,并确定适合分析的细胞数量。我们评估了使用葡萄糖的归一化方法,并选择了最适合重编程阶段异质性PSC代谢分析的方法。成纤维细胞对葡萄糖的反应随饥饿时间增加,耗氧率和细胞外酸化率在饥饿4小时后对葡萄糖反应最有效,饥饿5小时后下降。成纤维细胞和PSC分别在饥饿2至4小时和2至3小时后对葡萄糖实现了适当反应,且未损害其代谢。我们开发了一种比较成纤维细胞和PSC基础代谢率的新方法,重点是在不使用酶抑制剂的情况下使用葡萄糖对糖酵解和氧化磷酸化进行定量分析。该方案能够有效地比较包括未分化的PSC、分化细胞和正在进行细胞重编程的细胞在内的不同细胞类型之间的能量代谢,并解决基础代谢水平差异和归一化敏感性等关键问题,为细胞能量学提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7be/11170120/5c43c28ed68c/ijsc-17-2-194-f1.jpg

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