Peptide-Functionalized Nanostructured Microarchitectures Enable Rapid Mechanotransductive Differentiation

细胞生物学 间充质干细胞 干细胞 细胞分化 纳米技术 材料科学 神经干细胞 间质细胞 细胞 细胞粘附 生物 生物化学 癌症研究 基因
作者
Zongjie Wang,Libing Zhang,Mahmoud Labib,Haijie Chen,Mingyang Wei,Mahla Poudineh,Brenda Green,Bill Duong,Jagotamoy Das,Sharif Uddin Ahmed,Edward H. Sargent,Shana O. Kelley
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:11 (44): 41030-41037 被引量:10
标识
DOI:10.1021/acsami.9b13694
摘要

Microenvironmental factors play critical roles in regulating stem cell fate, providing a rationale to engineer biomimetic microenvironments that facilitate rapid and effective stem cell differentiation. Three-dimensional (3D) hierarchical microarchitectures have been developed to enable rapid neural differentiation of multipotent human mesenchymal stromal cells (HMSCs) via mechanotransduction. However, low cell viability during long-term culture and poor cell recovery efficiency from the architectures were also observed. Such problems hinder further applications of the architectures in stem cell differentiation. Here, we present improved 3D nanostructured microarchitectures functionalized with cell-adhesion-promoting arginylglycylaspartic acid (RGD) peptides. These RGD-functionalized architectures significantly upregulated long-term cell viability and facilitated effective recovery of differentiated cells from the architectures while maintaining high differentiation efficiency. Efficient recovery of highly viable differentiated cells enabled the downstream analysis of morphology and protein expression to be performed. Remarkably, even after the removal of the mechanical stimulus provided by the 3D microarchitectures, the recovered HMSCs showed a neuron-like elongated morphology for 10 days and consistently expressed microtubule-associated protein 2, a mature neural marker. RGD-functionalized nanostructured microarchitectures hold great potential to guide effective differentiation of highly viable stem cells.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虚幻的璟完成签到,获得积分10
刚刚
刚刚
DVD发布了新的文献求助10
刚刚
蔷薇发布了新的文献求助100
1秒前
脉动回不来完成签到,获得积分10
1秒前
1秒前
1秒前
JamesPei应助Vi采纳,获得10
1秒前
2秒前
2秒前
CipherSage应助啊啊啊采纳,获得10
2秒前
3秒前
所所应助LRY采纳,获得10
3秒前
七月夏栀发布了新的文献求助10
3秒前
zyy完成签到 ,获得积分10
4秒前
三有青年完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
lzy关闭了lzy文献求助
5秒前
乐乐应助上官小怡采纳,获得10
5秒前
闪闪的从安完成签到,获得积分10
6秒前
nesa关注了科研通微信公众号
7秒前
蛰曜发布了新的文献求助10
7秒前
XBK发布了新的文献求助10
7秒前
8秒前
8秒前
诚心的傲旋完成签到,获得积分10
8秒前
manying发布了新的文献求助30
9秒前
9秒前
jusser发布了新的文献求助10
9秒前
Owen应助冬鹿采纳,获得10
9秒前
9秒前
木子予安发布了新的文献求助10
9秒前
9秒前
10秒前
领导范儿应助orca采纳,获得10
10秒前
平淡白云发布了新的文献求助30
11秒前
上上签发布了新的文献求助30
11秒前
11秒前
高分求助中
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7648410
求助须知:如何正确求助?哪些是违规求助? 9221164
关于积分的说明 19793045
捐赠科研通 7214073
什么是DOI,文献DOI怎么找? 3277887
关于科研通互助平台的介绍 2438931
邀请新用户注册赠送积分活动 2276170