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Label-free Proteomics for Discovering Biomarker Candidates for Controlling Krypton Misuse in Castrated Horses (Geldings)

机译:无标签的蛋白质组学,用于发现阉割马(Geldings)控制Krypton滥用的生物标志物候选者

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Recent advances in label-free quantitative proteomics may support its application in identifying and monitoring biomarkers for the purpose of doping control in equine sports. In this study, we developed a workflow of label-free quantitative proteomics to propose plasma protein biomarkers in horses after administration with krypton (Kr), a potential erythropoiesis-stimulating agent. Plasma proteomes were profiled by using nanoliquid chromatography-high-resolution mass spectrometry. An in-house mass spectral library consisting of 1121 proteins was compiled using samples collected from geldings (castrated horses) in the administration trial and geldings in training. A data-independent acquisition method was used to quantify an array of plasma proteins across plasma samples from the administration trial. Statistical analyses proposed a profile of 83 biomarker candidates that successfully differentiated Kr-administered samples from control samples, with the ability to detect Kr exposure for up to 13 days (the last sample collected in the administration trial). The model also correctly classified 32 in-training geldings as untreated controls. This is significantly longer than the 1 h detection time of plasma Kr using headspace gas chromatography-tandem mass spectrometry. Bioinformatic analyses enriched biomarker candidates relevant to complement activation and iron metabolism. The upregulation of transferrin receptor protein 1, one of the candidates related to iron metabolism, in plasma after Kr administration was validated by selected reaction monitoring of corresponding peptides. These results have demonstrated label-free quantitative proteomics as a promising approach to propose plasma protein biomarkers to enhance doping control. Data are available via ProteomeXchange with identifier PXD017262.
机译:无标签定量蛋白质组学的最新进展可能支持其在识别和监测生物标志物方面的应用,以便在马上运动中掺杂。在这项研究中,我们开发了无标记的定量蛋白质组学的工作流程,以提出使用氪(KR),潜在的促红细胞刺激剂在施用后的马匹中的血浆蛋白生物标志物。通过使用纳米喹氢喹硫息 - 高分辨率质谱法来分析血浆蛋白质蛋白质。使用在训练中的管理试验和培训中的阉割(阉割马)收集的样品来编制由1121蛋白组成的内部质谱库。使用数据无关的采集方法来量化来自给药试验的血浆样品中的血浆蛋白阵列。统计分析提出了83个生物标志物候选的概况,其成功地将KR施用的样品从对照样品中分化,具有最多13天的KR暴露的能力(在给药试验中收集的最后一个样品)。该模型还将32个培训阉割进行了正确分类为未处理的控制。这显着长于使用顶空气相色谱 - 串联质谱法的等离子体Kr的1小时检测时间。生物信息分析富集的生物标志物候选者与补体激活和铁代谢相关。通过对应肽的选定反应监测验证了在KR给药后血浆中的转化素受体蛋白1,与铁代谢有关的候选者之一。这些结果证明了无标记的定量蛋白质组学作为提出血浆蛋白生物标志物来增强掺杂对照的有希望的方法。数据可通过Proteomexchange提供标识符PXD017262。

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