IMPROVED QUANTIFICATION, COVERAGE/DYNAMIC RANGE, SENSITIVITY, AND THROUGHPUT

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 核心2旨在通过多种技术进步来改善蛋白质组分析。 这些进步是通过以下方式实现的：将能力扩展到包括非常规的纳克大小和更小的样品，通过增强MS测量的动态范围，通过应用分析完整蛋白质的新方法，通过开发人工神经网络来预测强阳离子交换色谱期间的肽保留时间，通过改进用氧-18的稳定同位素标记，通过实施用于定量的通用参考标准，通过在应用MRM测量时增加靶向定量蛋白质组学的灵敏度，通过开发用于磷酸肽的多重定量策略，通过应用在中心帮助下开发的“下一代”蛋白质组学LC-IMS-MS仪器平台，以提高蛋白质组学系统的总体峰容量，通过提高生物流体蛋白质组的覆盖率，并通过在MS灵敏度方面取得额外的进展。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Core 2 seeks to improve proteome analyses through a multitude of technological advancements. These advancements have been achieved by extending the capabilities to include non-conventional nanogram-sized and smaller samples, by enhancing the dynamic range of the MS measurements, by applying new methods of analyzing intact proteins, by developing an artificial neural network to predict peptide retention times during strong cation exchange chromatography, by improving stable isotope labeling with oxygen-18, by implementing a universal reference standard for quantification, by increasing the sensitivity of targeted quantitative proteomics when applying MRM measurements, by developing a multiplexed quantification strategy for phosphopeptides, by applying a "next generation" proteomics LC-IMS-MS instrument platform developed with the help of the Center for increasing the overall peak capacity of a proteomics system, by improving biofluid proteome coverage, and by making additional advances in MS sensitivity.