Ex Vivo Angiogenesis Modeling: A Simple and Cost-Effective Model for Studying Tumor Angiogenesis

血管生成 简单(哲学) 离体 体内 医学 癌症研究 生物 生物技术 哲学 认识论
作者
Parisa Mohammadi,Azam Rahimpour,Farnaz Ahmadi‐Dehlaghi,Kamran Mansouri
出处
期刊:Crescent Journal of Medical and Biological Sciences [Aras Part Medical International Press]
卷期号:11 (4): 207-214
标识
DOI:10.34172/cjmb.2023.43
摘要

Objectives: Endothelial cells (ECs), as the main cell types in the micro- and macro-vascular structure, are crucial to many vital physiological processes occurring in human body among which are both physiologic and pathologic angiogenesis. Due to their great heterogeneity, it is recommended that the ECs of each tissue should be studied separately. Recently, targeting angiogenesis in cancer has become one of the main strategies for cancer management. Accordingly, this study aimed to introduce a simple, costeffective, and practical model for studying tumor angiogenesis, which can contribute to studies focused on antiangiogenic-based treatments for cancer. Materials and Methods: In this original study, the explants of both normal and tumor tissues of mouse lung and 4T1 mouse cancer model were cultured separately in a collagen type 1 bed. Sprouting ECs formed a network of vessel-liked structures that were photographed as a model for investigating cancerous and normal angiogenesis. These ECs were then isolated from the collagen matrix using collagenase to confirm their endothelial nature. Results: The results showed that the cells invading the collagen matrix and forming a vessel-liked network were of endothelial nature. They were also found to have EC-specific characteristics and express EC-specific markers. These embedded cells may have been treated with the desired drug or further isolated from the collagen matrix and investigated in a genome or protein level. Conclusions: In sum, this modeling had the potential to become a suitable model for studying the pathological angiogenesis such as tumors in human and animal tissues.

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
古哥完成签到,获得积分10
刚刚
zhaoxiaodao完成签到,获得积分10
1秒前
1秒前
爱喝面汤的tt完成签到,获得积分10
1秒前
崔双艳完成签到,获得积分10
2秒前
想摆烂发布了新的文献求助10
2秒前
烟花应助保罗乔治采纳,获得30
2秒前
刘明慧关注了科研通微信公众号
2秒前
吕敬瑶完成签到,获得积分10
2秒前
lily完成签到,获得积分10
2秒前
天天快乐应助Meron采纳,获得10
2秒前
3秒前
4秒前
4秒前
4秒前
zxl发布了新的文献求助30
4秒前
量子星尘发布了新的文献求助10
4秒前
勿明发布了新的文献求助10
5秒前
大师兄完成签到 ,获得积分10
5秒前
6秒前
Kabutack完成签到,获得积分10
6秒前
GYF应助复杂的小鸭子采纳,获得10
6秒前
濮阳渊思发布了新的文献求助10
6秒前
7秒前
7秒前
8秒前
丘比特应助hhh采纳,获得10
9秒前
9秒前
彧辰完成签到 ,获得积分10
9秒前
10秒前
10秒前
Meron完成签到,获得积分10
10秒前
11秒前
bkagyin应助摸鱼科夫斯基采纳,获得30
11秒前
11秒前
阔达凝天发布了新的文献求助10
11秒前
悲凉的雪珍完成签到 ,获得积分10
11秒前
ocag完成签到,获得积分20
11秒前
李爱国应助kalcspin采纳,获得10
12秒前
12秒前
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
解放军总医院眼科医学部病例精解 1000
温州医科大学附属眼视光医院斜弱视与双眼视病例精解 1000
Zur lokalen Geoidbestimmung aus terrestrischen Messungen vertikaler Schweregradienten 1000
translating meaning 500
Storie e culture della televisione 500
Selected research on camelid physiology and nutrition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4895378
求助须知:如何正确求助?哪些是违规求助? 4177310
关于积分的说明 12967502
捐赠科研通 3940399
什么是DOI,文献DOI怎么找? 2161812
邀请新用户注册赠送积分活动 1180179
关于科研通互助平台的介绍 1085767