The PPP-labels software for quantitative proteomics

蛋白质（细胞中的功能分子）的大规模研究被称为蛋白质组学，鉴定和定量的主要技术是质谱（MS）。目前流行的蛋白质组学方法有两种，称为“基于标记的”和“无标记的”。用于无标记数据分析的领先商业软件包之一是来自Nonlinear Dynamics（纽卡斯尔，英国）的Progenesis LC-MS。我们之前开发了一个应用程序，用于调整Progenesis LC-MS来分析基于标记的研究数据，称为Progenesis后处理器（PPP）。在这个项目中，我们正在将这个软件商业化的过程中，在一个产品称为PPP标签。我们已经要求支持在导致第一个版本在公开市场上发布。我们还将生成数据集，其中我们知道蛋白质的丰度，以证明和基准PPP标签。

The large-scale study of proteins (the functional molecules in cells) is called proteomics and the main technology for identification and quantification is mass spectrometry (MS). There are two popular proteomics methods, called "label-based" and "label-free". One of the leading commercial software packages for label-free data analysis is Progenesis LC-MS from Nonlinear Dynamics (Newcastle, UK). We previously developed an application for adapting Progenesis LC-MS to analyse data from label-based studies, called the Progenesis Post-Processor (PPP). In this project, we are in the process of commercialising this software in a product called PPP-labels. We have requested support in the lead up to the release of the first version on the open market. We are also going to generate data sets in which we know the abundance of proteins to demonstrate and benchmark PPP-labels.