细胞外微泡分离的qNANO结果与理论模型的比较

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2022-12-01 DOI:10.2478/bioal-2022-0088

M. Durak-Kozica, Andrzej Wróbel, M. Platt, E. Stępień

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引用次数: 1

摘要

目的：细胞外小泡（EVs）是直径30-5000nm的异质性膜小泡，用于转运蛋白质、非编码RNA（miRNA）、脂质和代谢产物。主要群体包括外泌体、外泌体和凋亡体。本研究的目的是比较在不同的差速离心（包括超速离心）条件下获得的EVs的分布，以及基于理论模型得出的结果。方法：用表达h－TERT（人端粒酶）的永生内皮细胞系释放EVs：微血管时间。在不同的离心参数下从培养基中分离EV。在qNano仪器上使用TRPS技术测量电动汽车的尺寸分布。

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Comparison of qNANO results from the isolation of extracellular microvesicles with the theoretical model

Objectives: Extracellular vesicles (EVs) are heterogeneous membrane vesicles in diameter of 30-5000 nm, that transport proteins, non-coding RNAs (miRNAs), lipids and metabolites. Major populations include exosomes, ectosomes and apoptotic bodies. The purpose of this study was to compare the distribution of EVs obtained under different conditions of differential centrifugation, including ultracentrifugation, with the results developed based on a theoretical model. Methods: Immortalized endothelial cell line that expresses h-TERT (human telomerase) was used to release of EVs: microvascular TIME. EVs were isolated from the culture medium at different centrifugation parameters. The size distribution of the EVs was measured using TRPS technology on a qNano instrument.

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来源期刊

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.