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癌细胞线粒体的分离与代谢评估

Isolation and Metabolic Assessment of Cancer Cell Mitochondria.

作者信息

Long Nguyen Phuoc, Min Jung Eun, Anh Nguyen Hoang, Kim Sun Jo, Park Seongoh, Kim Hyung Min, Yoon Sang Jun, Lim Johan, Lee Seul Ji, Kwon Sung Won

机构信息

College of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.

Department of Statistics, Sungshin Women's University, Seoul 02844, Republic of Korea.

出版信息

ACS Omega. 2020 Oct 12;5(42):27304-27313. doi: 10.1021/acsomega.0c03612. eCollection 2020 Oct 27.

Abstract

Mitochondrial metabolism plays an essential role in various biological processes of cancer cells. Herein, we established an experimental procedure for the metabolic assessment of mitochondria in cancer cells. We examined procedures for mitochondrial isolation coupled with various mitochondrial extraction buffers in three major cancer cell lines (PANC1, A549, and MDA-MB-231) and identified a potentially optimal and generalized approach. The purity of the mitochondrial fraction isolated by the selected protocol was verified using specific protein markers of cellular components, and the ultrastructure of the isolated mitochondria was also analyzed by transmission electron microscopy. The isolation procedure, involving a bead beater for cell lysis, a modified sucrose buffer, and differential centrifugation, appeared to be a suitable method for the extraction of mitochondria from cancer cells. Electron micrographs indicated an intact two-layer membrane and inner structures of mitochondria isolated by this procedure. Metabolomic and lipidomic analyses were conducted to examine the metabolic phenotypes of the mitochondria-enriched fractions and associated bulk cancer cells. A total of 44 metabolites, including malate and succinate, occurred at significantly higher levels in the mitochondrial fractions, whereas 51 metabolites, including citrate, oxaloacetate, and fumarate of the Krebs cycle and the oncometabolites glutamine and glutamate, were reduced in mitochondria compared to that in the corresponding bulk cells of PANC1. Similar patterns were observed in mitochondria and bulk cells of MDA-MB-231 and A549 cell lines. A clear difference between the lipid profiles of bulk PANC1, MDA-MB-231, and A549 and corresponding mitochondrial fractions of these cell lines was detected by principal component analysis. In conclusion, we developed an experimental procedure for a large-scale metabolic assessment for suborganelle metabolic profiling and multiple omics data integration in cancer cells with broad applications.

摘要

线粒体代谢在癌细胞的各种生物学过程中起着至关重要的作用。在此,我们建立了一种用于评估癌细胞中线粒体代谢的实验方法。我们研究了在三种主要癌细胞系(PANC1、A549和MDA-MB-231)中,结合各种线粒体提取缓冲液进行线粒体分离的方法,并确定了一种潜在的最佳通用方法。使用细胞成分的特异性蛋白质标志物验证了通过所选方案分离的线粒体部分的纯度,并通过透射电子显微镜分析了分离的线粒体的超微结构。该分离程序包括使用珠磨仪进行细胞裂解、改良的蔗糖缓冲液和差速离心,似乎是从癌细胞中提取线粒体的合适方法。电子显微镜照片显示通过该程序分离的线粒体具有完整的双层膜和内部结构。进行了代谢组学和脂质组学分析,以检查富含线粒体的部分以及相关的大量癌细胞的代谢表型。包括苹果酸和琥珀酸在内的总共44种代谢物在线粒体部分中的含量显著更高,而与PANC1相应的大量细胞相比,线粒体中包括三羧酸循环中的柠檬酸、草酰乙酸和富马酸以及致癌代谢物谷氨酰胺和谷氨酸在内的51种代谢物减少。在MDA-MB-231和A549细胞系的线粒体和大量细胞中也观察到了类似的模式。通过主成分分析检测到大量PANC1、MDA-MB-231和A549以及这些细胞系相应线粒体部分的脂质谱之间存在明显差异。总之,我们开发了一种实验程序,用于大规模代谢评估,以进行亚细胞器代谢谱分析和癌细胞中的多组学数据整合,具有广泛的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc6/7594158/291ad0c39f52/ao0c03612_0002.jpg

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