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Quantifying murine placental extracellular vesicles across gestation and in preterm birth data with tidyNano: A computational framework for analyzing and visualizing nanoparticle data in R

机译:使用tidyNano量化妊娠和早产数据中的鼠胎盘细胞外囊泡:分析和可视化R中纳米颗粒数据的计算框架

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摘要

Extracellular vesicles (EVs) are increasingly recognized as important mediators of intercellular communication that carry protein, lipids, and nucleic acids via the circulation to target cells whereupon they mediate physiological changes. In pregnancy, EVs are released in high quantities from the placenta and have been postulated to target multiple cell types, including those of the vascular and immune systems. However, most studies of pregnancy-associated EVs have used clinical samples and in vitro models; to date, few studies have taken advantage of murine models in which pregnancy can be precisely timed and manipulated. In this study, we used a murine model to determine whether the quantity of EVs is altered during healthy pregnancy and during inflammation-associated preterm birth. To facilitate data analysis, we developed a novel software package, tidyNano, an R package that provides functions to import, clean, and quickly summarize raw data generated by the nanoparticle tracking device, NanoSight (Malvern Panalytical). We also developed shinySIGHT, a Shiny web application that allows for interactive exploration and visualization of EV data. In mice, EV concentration in blood increased linearly across pregnancy, with significant rises at GD14.5 and 17.5 relative to EV concentrations in nonpregnant females. Additionally, lipopolysaccharide treatment resulted in a significant reduction in circulating EV concentrations relative to vehicle-treated controls at GD16.5 within 4 hours. Use of tidyNano facilitated rapid analysis of EV data; importantly, this package provides a straightforward framework by which diverse types of large datasets can be simply and efficiently analyzed, is freely available under the MIT license, and is hosted on GitHub (). Our data highlight the utility of the mouse as a model of EV biology in pregnancy, and suggest that placental dysfunction is associated with reduced circulating EVs.
机译:细胞外囊泡(EVs)被越来越多地视为重要的细胞间通讯介质,它们通过循环携带蛋白质,脂质和核酸到达靶细胞,从而介导生理变化。在怀孕期间,电动汽车会从胎盘中大量释放,并已被假定针对多种细胞类型,包括血管和免疫系统。但是,大多数与妊娠相关的电动汽车的研究都使用了临床样本和体外模型。迄今为止,很少有研究利用鼠模型来精确计时和操纵妊娠。在这项研究中,我们使用了鼠模型来确定在健康怀孕期间以及在与炎症相关的早产过程中,电动汽车的数量是否发生了变化。为了促进数据分析,我们开发了一个新颖的软件包tidyNano,这是一个R软件包,它具有导入,清理和快速汇总由纳米粒子跟踪设备NanoSight(Malvern Panalytical)生成的原始数据的功能。我们还开发了ShinySIGHT,这是一个Shiny Web应用程序,可用于交互式探索和可视化EV数据。在小鼠中,怀孕期间血液中的EV浓度呈线性增加,相对于未怀孕雌性的EV浓度,GD14.5和17.5显着升高。此外,脂多糖处理相对于GD16.5的媒介物处理对照组,在4小时内循环EV浓度显着降低。使用tidyNano有助于快速分析电动汽车数据;重要的是,该软件包提供了一个简单易用的框架,通过该框架,可以简单有效地分析各种类型的大型数据集,可以在MIT许可下免费获得,并托管在GitHub()上。我们的数据突出了小鼠在妊娠中作为EV生物学模型的效用,并暗示胎盘功能障碍与循环EV降低有关。

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