Suppr超能文献

集成在硅芯片上的用于抗癌药物敏感性测试的多通道三维细胞培养装置

Multi-channel 3-D cell culture device integrated on a silicon chip for anticancer drug sensitivity test.

作者信息

Torisawa Y-S Yu-Suke, Shiku Hitoshi, Yasukawa Tomoyuki, Nishizawa Matsuhiko, Matsue Tomokazu

机构信息

Graduate School of Environmental Studies, Tohoku University, Aramaki Aoba 07, Sendai 980-8579, Miyagi, Japan.

出版信息

Biomaterials. 2005 May;26(14):2165-72. doi: 10.1016/j.biomaterials.2004.05.028.

Abstract

A novel three-dimensional cell culture system was constructed with an array of cell panels (4 x 5) in a silicon chip, together with multi-channel drug containers. Human breast cancer (MCF-7) cells were embedded in a collagen-gel matrix and entrapped in a pyramidal-shaped silicon hole. Each cell panel can be isolated by a channel composed of a microfluid part and a reservoir. A cell panel was exposed to 200 mm KCN for 2 days to demonstrate that each cell panel could be independently evaluated under various stimulation conditions. Based on the cellular respiration activity, the proliferation behavior was continuously monitored on the silicon-based cell array for 5 days using scanning electrochemical microscopy (SECM). The cells entrapped in the device (3-D culture) proliferated normally, and the proliferation rate was lower than that of cells grown in a monolayer cell culture (2-D culture). The effects of three anticancer drugs measured simultaneously on the cell chip were in good agreement with those obtained by a conventional colorimetric assay. Our results suggest that the silicon-based device for 3D culture is appropriate for a chemosensitivity assay involving multi-chemical stimulation.

摘要

一种新型的三维细胞培养系统由硅芯片中的一系列细胞板(4×5)以及多通道药物容器构建而成。人乳腺癌(MCF-7)细胞被包埋在胶原蛋白凝胶基质中,并被困在金字塔形的硅孔中。每个细胞板可通过由微流体部分和储液器组成的通道进行隔离。将一个细胞板暴露于200 mM KCN中2天,以证明每个细胞板可在各种刺激条件下独立评估。基于细胞呼吸活性,使用扫描电化学显微镜(SECM)在硅基细胞阵列上连续5天监测增殖行为。被困在该装置中的细胞(三维培养)正常增殖,且增殖速率低于单层细胞培养(二维培养)中的细胞。同时在细胞芯片上测量的三种抗癌药物的效果与通过传统比色法获得的结果高度一致。我们的结果表明,用于三维培养的硅基装置适用于涉及多种化学刺激的化学敏感性测定。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验