Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature.

IntraVital Pub Date : 2014-02-04 eCollection Date: 2014-01-01 DOI:10.4161/intv.27935
Azusa Maeda, Ralph S DaCosta
{"title":"Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature.","authors":"Azusa Maeda,&nbsp;Ralph S DaCosta","doi":"10.4161/intv.27935","DOIUrl":null,"url":null,"abstract":"<p><p>The dorsal skinfold window chamber (DSWC) model is a unique tool that enables analysis of various aspects of tumor biology and therapeutic response. Although the protocol for the murine DSWC model is standardized, certain tumors fail to grow or require a particular environment to promote growth. Given such limitations, we optimized the DSWC model for a slow-growing tumor that regresses spontaneously in the standard protocol. We further characterized the vascular network in the tumor model compared with that of non-tumor-bearing mice and observed significant differences in multiple parameters related to vascular structure and function.</p>","PeriodicalId":14512,"journal":{"name":"IntraVital","volume":"3 1","pages":"e27935"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4161/intv.27935","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IntraVital","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4161/intv.27935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

Abstract

The dorsal skinfold window chamber (DSWC) model is a unique tool that enables analysis of various aspects of tumor biology and therapeutic response. Although the protocol for the murine DSWC model is standardized, certain tumors fail to grow or require a particular environment to promote growth. Given such limitations, we optimized the DSWC model for a slow-growing tumor that regresses spontaneously in the standard protocol. We further characterized the vascular network in the tumor model compared with that of non-tumor-bearing mice and observed significant differences in multiple parameters related to vascular structure and function.

Abstract Image

Abstract Image

Abstract Image

背侧皮肤褶窗室模型的优化及肿瘤相关血管的多参数表征。
背侧皮肤褶窗室(DSWC)模型是一种独特的工具,可以分析肿瘤生物学和治疗反应的各个方面。尽管小鼠DSWC模型的方案是标准化的,但某些肿瘤不能生长或需要特定的环境来促进生长。考虑到这些局限性,我们针对标准方案中自发消退的缓慢生长肿瘤优化了DSWC模型。与非荷瘤小鼠相比,我们进一步表征了肿瘤模型中的血管网络,并观察到血管结构和功能相关的多个参数存在显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信