用定量方法研究肿瘤血管生成因子对内皮细胞网络形成的影响。

F Amyot, K Camphausen, A Siavosh, D Sackett, A Gandjbakhche
{"title":"用定量方法研究肿瘤血管生成因子对内皮细胞网络形成的影响。","authors":"F Amyot,&nbsp;K Camphausen,&nbsp;A Siavosh,&nbsp;D Sackett,&nbsp;A Gandjbakhche","doi":"10.1049/ip-syb:20045036","DOIUrl":null,"url":null,"abstract":"<p><p>To study the network formation of endothelial cells (ECs) in an extracellular matrix (ECM) environment, we have devised an EC aggregation-type model based on a diffusion limited cluster aggregation model (DLCA), where clusters of particles diffuse and stick together upon contact. We use this model to quantify EC differentiation into cord-like structures by comparing experimental and simulation data. Approximations made with the DLCA model, when combined with experimental kinetics and cell concentration results, not only allow us to quantify cell differentiation by a pseudo diffusion coefficient, but also measure the effects of tumor angiogenic factors (TAFs) on the formation of cord-like structures by ECs. We have tested our model by using an in vitro assay, where we record EC aggregation by analysing time-lapse images that provide us with the evolution of the fractal dimension measure through time. We performed these experiments for various cell concentrations and TAFs (e.g. EVG, FGF-b, and VEGF). During the first six hours of an experiment, ECs aggregate quickly. The value of the measured fractal dimension decreases with time until reaching an asymptotic value that depends solely on the EC concentration. In contrast, the kinetics depend on the nature of TAFs. The experimental and simulation results correlate with each other in regards to the fractal dimension and kinetics, allowing us to quantify the influence of each TAF by a pseudo diffusion coefficient. We have shown that the shape, kinetic aggregation, and fractal dimension of the EC aggregates fit into an in vitro model capable of reproducing the first stage of angiogenesis. We conclude that the DLCA model, combined with experimental results, is a highly effective assay for the quantification of the kinetics and network characteristics of ECs embedded in ECM proteins. Finally, we present a new method that can be used for studying the effect of angiogenic drugs in in vitro assays.</p>","PeriodicalId":87457,"journal":{"name":"Systems biology","volume":"152 2","pages":"61-6"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1049/ip-syb:20045036","citationCount":"9","resultStr":"{\"title\":\"Quantitative method to study the network formation of endothelial cells in response to tumor angiogenic factors.\",\"authors\":\"F Amyot,&nbsp;K Camphausen,&nbsp;A Siavosh,&nbsp;D Sackett,&nbsp;A Gandjbakhche\",\"doi\":\"10.1049/ip-syb:20045036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To study the network formation of endothelial cells (ECs) in an extracellular matrix (ECM) environment, we have devised an EC aggregation-type model based on a diffusion limited cluster aggregation model (DLCA), where clusters of particles diffuse and stick together upon contact. We use this model to quantify EC differentiation into cord-like structures by comparing experimental and simulation data. Approximations made with the DLCA model, when combined with experimental kinetics and cell concentration results, not only allow us to quantify cell differentiation by a pseudo diffusion coefficient, but also measure the effects of tumor angiogenic factors (TAFs) on the formation of cord-like structures by ECs. We have tested our model by using an in vitro assay, where we record EC aggregation by analysing time-lapse images that provide us with the evolution of the fractal dimension measure through time. We performed these experiments for various cell concentrations and TAFs (e.g. EVG, FGF-b, and VEGF). During the first six hours of an experiment, ECs aggregate quickly. The value of the measured fractal dimension decreases with time until reaching an asymptotic value that depends solely on the EC concentration. In contrast, the kinetics depend on the nature of TAFs. The experimental and simulation results correlate with each other in regards to the fractal dimension and kinetics, allowing us to quantify the influence of each TAF by a pseudo diffusion coefficient. We have shown that the shape, kinetic aggregation, and fractal dimension of the EC aggregates fit into an in vitro model capable of reproducing the first stage of angiogenesis. We conclude that the DLCA model, combined with experimental results, is a highly effective assay for the quantification of the kinetics and network characteristics of ECs embedded in ECM proteins. Finally, we present a new method that can be used for studying the effect of angiogenic drugs in in vitro assays.</p>\",\"PeriodicalId\":87457,\"journal\":{\"name\":\"Systems biology\",\"volume\":\"152 2\",\"pages\":\"61-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1049/ip-syb:20045036\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systems biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/ip-syb:20045036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/ip-syb:20045036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

为了研究内皮细胞(ECs)在细胞外基质(ECM)环境中的网络形成,我们设计了一个基于扩散限制簇聚集模型(DLCA)的EC聚集型模型,其中粒子簇在接触时扩散并粘在一起。我们使用该模型通过比较实验和仿真数据来量化EC分化成绳状结构。结合实验动力学和细胞浓度结果,我们不仅可以通过伪扩散系数来量化细胞分化,还可以测量肿瘤血管生成因子(tumor angiogenic factors, TAFs)对肿瘤血管生成因子(tumor angiogenic factors, TAFs)对肿瘤血管生成因子形成索状结构的影响。我们通过使用体外实验测试了我们的模型,我们通过分析时间推移图像来记录EC聚集,这些图像为我们提供了分形维数随时间的演变。我们对不同的细胞浓度和TAFs(如EVG、FGF-b和VEGF)进行了这些实验。在实验的前6个小时,ECs迅速聚集。测量的分形维数随时间减小,直到达到一个仅取决于EC浓度的渐近值。相反,动力学取决于TAFs的性质。实验和模拟结果在分形维数和动力学方面相互关联,使我们能够通过伪扩散系数量化每种TAF的影响。我们已经证明,EC聚集体的形状、动力学聚集和分形维数符合能够重现血管生成第一阶段的体外模型。我们得出结论,DLCA模型与实验结果相结合,是一种非常有效的定量分析ECM蛋白中嵌入ECs的动力学和网络特性的方法。最后,我们提出了一种新的方法,可用于研究血管生成药物的体外实验效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative method to study the network formation of endothelial cells in response to tumor angiogenic factors.

To study the network formation of endothelial cells (ECs) in an extracellular matrix (ECM) environment, we have devised an EC aggregation-type model based on a diffusion limited cluster aggregation model (DLCA), where clusters of particles diffuse and stick together upon contact. We use this model to quantify EC differentiation into cord-like structures by comparing experimental and simulation data. Approximations made with the DLCA model, when combined with experimental kinetics and cell concentration results, not only allow us to quantify cell differentiation by a pseudo diffusion coefficient, but also measure the effects of tumor angiogenic factors (TAFs) on the formation of cord-like structures by ECs. We have tested our model by using an in vitro assay, where we record EC aggregation by analysing time-lapse images that provide us with the evolution of the fractal dimension measure through time. We performed these experiments for various cell concentrations and TAFs (e.g. EVG, FGF-b, and VEGF). During the first six hours of an experiment, ECs aggregate quickly. The value of the measured fractal dimension decreases with time until reaching an asymptotic value that depends solely on the EC concentration. In contrast, the kinetics depend on the nature of TAFs. The experimental and simulation results correlate with each other in regards to the fractal dimension and kinetics, allowing us to quantify the influence of each TAF by a pseudo diffusion coefficient. We have shown that the shape, kinetic aggregation, and fractal dimension of the EC aggregates fit into an in vitro model capable of reproducing the first stage of angiogenesis. We conclude that the DLCA model, combined with experimental results, is a highly effective assay for the quantification of the kinetics and network characteristics of ECs embedded in ECM proteins. Finally, we present a new method that can be used for studying the effect of angiogenic drugs in in vitro assays.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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