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基于微流控芯片的 3D 细胞共培养技术的进展。

Advances of 3D Cell Co-Culture Technology Based on Microfluidic Chips.

机构信息

Engineering Research Center of TCM Intelligence Health Service, School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China.

Department of Clinical Medical Engineering, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.

出版信息

Biosensors (Basel). 2024 Jul 10;14(7):336. doi: 10.3390/bios14070336.

DOI:10.3390/bios14070336
PMID:39056612
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11274478/
Abstract

Cell co-culture technology aims to study the communication mechanism between cells and to better reveal the interactions and regulatory mechanisms involved in processes such as cell growth, differentiation, apoptosis, and other cellular activities. This is achieved by simulating the complex organismic environment. Such studies are of great significance for understanding the physiological and pathological processes of multicellular organisms. As an emerging cell cultivation technology, 3D cell co-culture technology, based on microfluidic chips, can efficiently, rapidly, and accurately achieve cell co-culture. This is accomplished by leveraging the unique microchannel structures and flow characteristics of microfluidic chips. The technology can simulate the native microenvironment of cell growth, providing a new technical platform for studying intercellular communication. It has been widely used in the research of oncology, immunology, neuroscience, and other fields. In this review, we summarize and provide insights into the design of cell co-culture systems on microfluidic chips, the detection methods employed in co-culture systems, and the applications of these models.

摘要

细胞共培养技术旨在研究细胞之间的通讯机制,以更好地揭示细胞生长、分化、凋亡等细胞活动涉及的相互作用和调节机制。这是通过模拟复杂的有机环境来实现的。此类研究对于理解多细胞生物的生理和病理过程具有重要意义。作为一种新兴的细胞培养技术,基于微流控芯片的 3D 细胞共培养技术可以高效、快速、准确地实现细胞共培养。这是通过利用微流控芯片独特的微通道结构和流动特性来实现的。该技术可以模拟细胞生长的天然微环境,为研究细胞间通讯提供了新的技术平台。它已被广泛应用于肿瘤学、免疫学、神经科学等领域的研究。在这篇综述中,我们总结并深入探讨了微流控芯片上细胞共培养系统的设计、共培养系统中使用的检测方法以及这些模型的应用。

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