亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation

巨噬细胞 表型 免疫系统 合理设计 单核细胞 细胞生物学 细胞 纳米技术 材料科学 生物 体外 免疫学 基因 遗传学
作者
Matthew Vassey,Grazziela P. Figueredo,David J. Scurr,Aliaksei Vasilevich,Steven Vermeulen,Aurélie Carlier,Jeni Luckett,Nick R. M. Beijer,Paul Williams,David A. Winkler,Jan de Boer,Amir M. Ghaemmaghami,Morgan R. Alexander
出处
期刊:Advanced Science [Wiley]
卷期号:7 (11) 被引量:117
标识
DOI:10.1002/advs.201903392
摘要

Macrophages play a central role in orchestrating immune responses to foreign materials, which are often responsible for the failure of implanted medical devices. Material topography is known to influence macrophage attachment and phenotype, providing opportunities for the rational design of "immune-instructive" topographies to modulate macrophage function and thus foreign body responses to biomaterials. However, no generalizable understanding of the inter-relationship between topography and cell response exists. A high throughput screening approach is therefore utilized to investigate the relationship between topography and human monocyte-derived macrophage attachment and phenotype, using a diverse library of 2176 micropatterns generated by an algorithm. This reveals that micropillars 5-10 µm in diameter play a dominant role in driving macrophage attachment compared to the many other topographies screened, an observation that aligns with studies of the interaction of macrophages with particles. Combining the pillar size with the micropillar density is found to be key in modulation of cell phenotype from pro to anti-inflammatory states. Machine learning is used to successfully build a model that correlates cell attachment and phenotype with a selection of descriptors, illustrating that materials can potentially be designed to modulate inflammatory responses for future applications in the fight against foreign body rejection of medical devices.

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
年轻花卷完成签到,获得积分10
1秒前
感动初蓝完成签到 ,获得积分10
8秒前
chen发布了新的文献求助10
8秒前
墨染发布了新的文献求助10
15秒前
何一一完成签到 ,获得积分10
18秒前
充电宝应助ASRI12349采纳,获得10
31秒前
科研通AI6.2应助chen采纳,获得10
34秒前
38秒前
43秒前
43秒前
orixero应助墨染采纳,获得10
44秒前
chen发布了新的文献求助10
48秒前
kkrian完成签到,获得积分10
54秒前
衣裳薄完成签到,获得积分10
1分钟前
彭于晏应助chen采纳,获得10
1分钟前
Riversource完成签到,获得积分10
1分钟前
1分钟前
1分钟前
Akim应助你嵙这个期刊没买采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
无花果应助jin采纳,获得10
1分钟前
1分钟前
1分钟前
chen发布了新的文献求助10
1分钟前
墨染发布了新的文献求助10
1分钟前
隐形曼青应助chen采纳,获得10
1分钟前
丘比特应助等待的安露采纳,获得10
2分钟前
xxr1111发布了新的文献求助10
2分钟前
2分钟前
隐形曼青应助xxr1111采纳,获得10
2分钟前
3分钟前
JenniferShen发布了新的文献求助10
3分钟前
3分钟前
4分钟前
yh完成签到,获得积分10
4分钟前
斯文败类应助科研通管家采纳,获得10
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348224
求助须知:如何正确求助?哪些是违规求助? 8163256
关于积分的说明 17172906
捐赠科研通 5404645
什么是DOI,文献DOI怎么找? 2861755
邀请新用户注册赠送积分活动 1839559
关于科研通互助平台的介绍 1688888