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三维还是非三维:三维细胞系统中评估细胞活力的指南

3D or not 3D: a guide to assess cell viability in 3D cell systems.

作者信息

Bikmulina Polina, Kosheleva Nastasia, Efremov Yuri, Antoshin Artem, Heydari Zahra, Kapustina Valentina, Royuk Valery, Mikhaylov Vasily, Fomin Victor, Vosough Massoud, Timashev Peter, Rochev Yury, Shpichka Anastasia

机构信息

World-Class Research Center "Digital biodesign and personalized healthcare", Sechenov University, Moscow, Russia.

Institute for Regenerative Medicine, Sechenov University, Moscow, Russia.

出版信息

Soft Matter. 2022 Mar 16;18(11):2222-2233. doi: 10.1039/d2sm00018k.

Abstract

Cell viability is the primary integrative parameter used for various purposes, particularly when fabricating tissue equivalents (, using bioprinting or scaffolding techniques), optimizing conditions to cultivate cells, testing chemicals, drugs, and biomaterials, Most of the conventional methods were originally designed for a monolayer (2D) culture; however, 2D approaches fail to adequately assess a tissue-engineered construct's viability and drug effects and recapitulate the host-pathogen interactions and infectivity. This study aims at revealing the influence of particular 3D cell systems' parameters such as the components' concentration, gel thickness, cell density, on the cell viability and applicability of standard assays. Here, we present an approach to achieving adequate and reproducible results on the cell viability in 3D collagen- and fibrin-based systems using the Live/Dead, AlamarBlue, and PicoGreen assays. Our results have demonstrated that a routine precise analysis of 3D systems should be performed using a combination of at least three methods based on different cell properties, the metabolic activity, proliferative capacity, morphology,

摘要

细胞活力是用于各种目的的主要综合参数,特别是在制造组织等效物(使用生物打印或支架技术)、优化细胞培养条件、测试化学物质、药物和生物材料时。大多数传统方法最初是为单层(2D)培养设计的;然而,二维方法无法充分评估组织工程构建体的活力和药物效果,也无法重现宿主与病原体的相互作用和感染性。本研究旨在揭示特定三维细胞系统参数(如成分浓度、凝胶厚度、细胞密度)对细胞活力和标准检测方法适用性的影响。在此,我们提出一种方法,使用活/死、AlamarBlue和PicoGreen检测法,在基于三维胶原蛋白和纤维蛋白的系统中获得关于细胞活力的充分且可重复的结果。我们的结果表明,应基于不同的细胞特性(代谢活性、增殖能力、形态),结合至少三种方法对三维系统进行常规精确分析。

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