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!

Collagen-alginate 3D microscaffolds for studying cellular migration

细胞迁移 MMP9公司 细胞外基质 脚手架 基质金属蛋白酶 转移 下调和上调 细胞生物学 上皮-间质转换 化学 体内 生物 纳米技术 体外 材料科学 生物医学工程 癌症 生物化学 医学 生物技术 遗传学 基因
作者
Shreemoyee De,Neetu Singh
出处
期刊:International Journal of Biological Macromolecules [Elsevier]
卷期号:245: 125308-125308
标识
DOI:10.1016/j.ijbiomac.2023.125308
摘要

Metastasis is one of the major causes for cancer mortality. Its early steps comprise of invasion of basement membrane and migration. Thus, it is hypothesized that a platform, that allows quantification and grading of migration capability of cells can potentially be used for predicting metastatic potential. Two-dimensional (2D) models have been rendered inadequate for modelling in-vivo microenvironment due to various reasons. To attenuate homogeneity observed in 2D, three-dimensional (3D) platforms supplemented with bioinspired components have been designed. Unfortunately, till date there are no simple models to capture the migration of cells in 3D along with quantification of the process. In this study, we report an alginate-collagen based 3D model system, which can predict the migratory property of the cells within 72 h. The micron size of the scaffold enabled faster readout and the optimum pore-size provided conducive cellular growth environment. The platform's ability to allow observation of cellular migration was validated by encapsulating cells with transiently upregulated matrix metalloprotease 9 (MMP9), which has been reported to play a significant role in migration of cells during metastasis. The readout for migration was clustering of cells in the microscaffolds detected in a short span of 48 h. The observed clustering in MMP9 upregulated cells was validated by observing changes in the epithelial-mesenchymal transition (EMT) markers. Thus, this simple 3D platform can be used to study migration and predict the metastatic potential of cells.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
16秒前
hongxing liu发布了新的文献求助10
20秒前
小李新人完成签到 ,获得积分10
23秒前
研友_R2D2发布了新的文献求助10
24秒前
MchemG应助科研通管家采纳,获得10
27秒前
MchemG应助科研通管家采纳,获得10
27秒前
MchemG应助科研通管家采纳,获得10
27秒前
hongxing liu完成签到,获得积分10
28秒前
35秒前
42秒前
54秒前
jianglan发布了新的文献求助30
58秒前
1分钟前
1分钟前
1分钟前
1分钟前
2分钟前
2分钟前
MchemG应助科研通管家采纳,获得10
2分钟前
MchemG应助科研通管家采纳,获得10
2分钟前
MchemG应助科研通管家采纳,获得10
2分钟前
MchemG应助科研通管家采纳,获得10
2分钟前
MchemG应助科研通管家采纳,获得10
2分钟前
2分钟前
breeze发布了新的文献求助30
2分钟前
2分钟前
2分钟前
Funnymudpee发布了新的文献求助10
2分钟前
Funnymudpee完成签到,获得积分10
3分钟前
3分钟前
3分钟前
3分钟前
Rocky_Qi发布了新的文献求助10
3分钟前
3分钟前
3分钟前
4分钟前
breeze发布了新的文献求助30
4分钟前
MchemG应助科研通管家采纳,获得10
4分钟前
MchemG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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5482463
求助须知:如何正确求助?哪些是违规求助? 4583253
关于积分的说明 14389109
捐赠科研通 4512329
什么是DOI,文献DOI怎么找? 2472871
邀请新用户注册赠送积分活动 1459096
关于科研通互助平台的介绍 1432553