Medizinisches Proteom-Center, Medical Faculty, Ruhr University Bochum, Gesundheitscampus 4, Bochum, D-44 801, Germany.
Institute for Virology, University Hospital Essen, University of Duisburg-Essen, Essen, D-45 147, Germany.
Proteomics. 2020 Jun;20(11):e1900143. doi: 10.1002/pmic.201900143. Epub 2020 Mar 6.
Targeted proteomics techniques allow accurate quantitative measurements of analytes in complex matrices with dynamic linear ranges that span up to 4-5 orders of magnitude. Hence, targeted methods are promising for the development of robust protein assays in several sensitive areas, for example, in health care. However, exploiting the full method potential requires reliable determination of the dynamic range along with related quantification limits for each analyte. Here, a software named CalibraCurve that enables an automated batch-mode determination of dynamic linear ranges and quantification limits for both targeted proteomics and similar assays is presented. The software uses a variety of measures to assess the accuracy of the calibration, namely precision and trueness. Two different kinds of customizable graphs are created (calibration curves and response factor plots). The accuracy measures and the graphs offer an intuitive, detailed, and reliable opportunity to assess the quality of the model fit. Thus, CalibraCurve is deemed a highly useful and flexible tool to facilitate the development and control of reliable SRM/MRM-MS-based proteomics assays.
靶向蛋白质组学技术允许在具有动态线性范围的复杂基质中对分析物进行准确的定量测量，该线性范围可跨越 4-5 个数量级。因此，靶向方法有望在多个敏感领域（例如医疗保健）开发出稳健的蛋白质分析方法。然而，要充分发挥方法的潜力，需要可靠地确定每个分析物的动态范围及其相关的定量限。在此，我们介绍了一种名为 CalibraCurve 的软件，它可以自动批量确定靶向蛋白质组学和类似分析的动态线性范围和定量限。该软件使用多种措施来评估校准的准确性，即精密度和准确性。创建了两种不同类型的可定制图形（校准曲线和响应因子图）。这些准确性测量和图形提供了直观、详细和可靠的机会来评估模型拟合的质量。因此，CalibraCurve 被认为是一种非常有用和灵活的工具，可促进可靠的基于 SRM/MRM-MS 的蛋白质组学分析方法的开发和控制。
