Textured Surface of Self-Assembled Particles as a Scaffold for Selective Cell Adhesion and Growth

Author:

Kaneko Arata, ,Takeda Iwori

Abstract

SiO2particles (φ 1 μm) self-assemble into hexagonal arrangements on a glass substrate. Dip-coating is also used to produce linear patterns of particles several tens of micrometers in width on substrates patterned with octadecyltrichlorosilane (OTS). Some particles are coated with specific proteins via electrochemical adsorption and structured on a glass substrate. The upper surfaces of self-assembled particles have specifically-ordered asperities that can be called textures. These textured surfaces are applied to a cell scaffold. PC12 and HeLa cells adhere to the textured surfaces of particles more often than they adhere to flat (smooth) surfaces. The cells are located on approximately 50-μm-width of self-assembled particles. Thus, it is found that the textured surface of particles functions as a template for autonomous cell patterning. An in-situ observation shows that the selective adhesion of cells is achieved by their extensions and migrations from the flat region to the particles. Coating particles with proteins enhances cell adhesiveness in such a way that isolated cells adhere to the linear patterns of particles in straight lines. The textured surfaces of particles also affect cell growth. As cell growth is restricted on the textured surfaces of particles, a confluent state of aggregated cells is achieved on only a linear pattern of particles.

Publisher

Fuji Technology Press Ltd.

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3