Kinetic analyses of vasculogenesis inform mechanistic studies.

Kaela M Varberg, Seth Winfree, Chenghao Chu, Wanzhu Tu, Emily K Blue, Cassandra R Gohn, Kenneth W Dunn, Laura S Haneline
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Abstract

Vasculogenesis is a complex process by which endothelial stem and progenitor cells undergo de novo vessel formation. Quantitative assessment of vasculogenesis is a central readout of endothelial progenitor cell functionality. However, current assays lack kinetic measurements. To address this issue, new approaches were developed to quantitatively assess in vitro endothelial colony-forming cell (ECFC) network formation in real time. Eight parameters of network structure were quantified using novel Kinetic Analysis of Vasculogenesis (KAV) software. KAV assessment of structure complexity identified two phases of network formation. This observation guided the development of additional vasculogenic readouts. A tissue cytometry approach was established to quantify the frequency and localization of dividing ECFCs. Additionally, Fiji TrackMate was used to quantify ECFC displacement and speed at the single-cell level during network formation. These novel approaches were then implemented to identify how intrauterine exposure to maternal diabetes mellitus (DM) impairs fetal ECFC vasculogenesis. Fetal ECFCs exposed to maternal DM form fewer initial network structures, which are not stable over time. Correlation analyses demonstrated that ECFC samples with greater division in branches form fewer closed network structures. Additionally, reductions in average ECFC movement over time decrease structural connectivity. Identification of these novel phenotypes utilizing the newly established methodologies provides evidence for the cellular mechanisms contributing to aberrant ECFC vasculogenesis.

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血管生成的动力学分析为机理研究提供了信息。
血管生成是内皮干细胞和祖细胞重新形成血管的复杂过程。血管生成的定量评估是内皮祖细胞功能的核心读数。然而,目前的检测方法缺乏动力学测量。为了解决这个问题,我们开发了新的方法来实时定量评估体外内皮集落形成细胞(ECFC)网络的形成。利用新型血管生成动力学分析(KAV)软件对网络结构的八个参数进行了量化。KAV 对结构复杂性的评估确定了网络形成的两个阶段。这一观察结果为开发其他血管生成读数提供了指导。组织细胞测量法用于量化分裂的 ECFCs 的频率和定位。此外,Fiji TrackMate 还用于量化网络形成过程中单细胞水平的 ECFC 位移和速度。这些新方法随后被用于鉴定宫内暴露于母体糖尿病(DM)如何损害胎儿ECFC血管生成。暴露于母体DM的胎儿ECFC形成的初始网络结构较少,而且随着时间的推移并不稳定。相关分析表明,分支分化程度较高的ECFC样本形成的闭合网络结构较少。此外,随着时间的推移,ECFC平均运动的减少也会降低结构的连通性。利用新建立的方法鉴定这些新表型为导致ECFC血管生成异常的细胞机制提供了证据。
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