Department of Molecular Biology, Princeton University, Icahn Laboratory, #246, Washington Road, Princeton, NJ, 08544, USA.
The Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, 08544, USA.
Chembiochem. 2019 May 15;20(10):1210-1224. doi: 10.1002/cbic.201800650. Epub 2019 Apr 18.
Over the last few decades, mass spectrometry-based proteomics has become an increasingly powerful tool that is now able to routinely detect and quantify thousands of proteins. A major advance for global protein quantification was the introduction of isobaric tags, which, in a single experiment, enabled the global quantification of proteins across multiple samples. Herein, these methods are referred to as multiplexed proteomics. The principles, advantages, and drawbacks of various multiplexed proteomics techniques are discussed and compared with alternative approaches. We also discuss how the emerging combination of multiplexing with targeted proteomics might enable the reliable and high-quality quantification of very low abundance proteins across multiple conditions. Lastly, we suggest that fusing multiplexed proteomics with data-independent acquisition approaches might enable the comparison of hundreds of different samples without missing values, while maintaining the superb measurement precision and accuracy obtainable with isobaric tag quantification.
在过去的几十年中，基于质谱的蛋白质组学已成为一种日益强大的工具，现在能够常规地检测和定量数千种蛋白质。全球蛋白质定量的一个重大进展是引入了等重标记物，这些标记物在单个实验中可以实现多个样本中的蛋白质的全局定量。在此，这些方法被称为多重蛋白质组学。本文讨论了各种多重蛋白质组学技术的原理、优点和缺点，并与替代方法进行了比较。我们还讨论了新兴的多重化与靶向蛋白质组学的结合如何能够在多种条件下可靠且高质量地定量非常低丰度的蛋白质。最后，我们认为将多重蛋白质组学与数据非依赖采集方法融合，可能会在保持等重标记物定量可获得的出色测量精度和准确性的同时，实现对数百个不同样本的比较，而不会出现缺失值。
