妊娠、分娩和早产时人子宫平滑肌的蛋白质组学网络分析。

Craig Ulrich, David R Quilici, Karen A Schlauch, Iain L O Buxton
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引用次数: 5

摘要

在妊娠期人类子宫静止和足月或早产引产的分子机制尚不完全清楚。早产与主要的发病率和死亡率有关,目前预防足月前分娩的努力基本上是无效的。妊娠期间子宫平滑肌蛋白质组学变化的鉴定和半定量将有助于有针对性地研究静止是如何维持的,以及哪些变化与引产有关。在这种情况下检查早产将为早产的管理提供潜在的治疗目标。我们最近对产中孕妇、非产中孕妇和早产孕妇分离的子宫肌层蛋白进行了二维液相色谱联用串联质谱分析。使用保守的错误发现率为1%,我们使用这种方法鉴定了2132个蛋白质组,半定量光谱计数显示201个蛋白质在早产样本中具有不同的表达水平。据我们所知,这是对人类子宫平滑肌进行的第一次大规模蛋白质组学研究,这项初步工作为未来的实验提供了一个目标清单,可以解决蛋白质水平的变化如何参与足月和早产引产。
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Proteomic network analysis of human uterine smooth muscle in pregnancy, labor, and preterm labor.

The molecular mechanisms involved in human uterine quiescence during gestation and the induction of labor at term or preterm are not completely known. Preterm delivery is associated with major morbidity and mortality and current efforts to prevent delivery until term are largely ineffective. Identification and semi-quantification of proteomic changes in uterine smooth muscle during pregnancy will allow for targeted research into how quiescence is maintained and what changes are associated with induction of labor. Examining preterm labor in this context will provide potential therapeutic targets for the management of preterm labor. We have recently performed two dimensional liquid chromatography coupled with tandem mass spectrometry on myometrial proteins isolated from pregnant patients in labor, pregnant patients not in labor, and pregnant patients in labor preterm. Using a conservative false discovery rate of 1% we have identified 2132 protein groups using this method and semi-quantitative spectral counting shows 201 proteins that have disparate levels of expression in preterm laboring samples. To our knowledge this is the first large scale proteomic study examining human uterine smooth muscle and this initial work has provided a target list for future experiments that can address how changing protein levels are involved in the induction of labor at term and preterm.

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