Michael Smith Laboratories and Department of Biochemistry & Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Proteomics. 2023 Nov;23(21-22):e2200278. doi: 10.1002/pmic.202200278. Epub 2023 May 5.
Proteomics technologies are continually advancing, providing opportunities to develop stronger and more robust protein interaction networks (PINs). In part, this is due to the ever-growing number of high-throughput proteomics methods that are available. This review discusses how data-independent acquisition (DIA) and co-fractionation mass spectrometry (CF-MS) can be integrated to enhance interactome mapping abilities. Furthermore, integrating these two techniques can improve data quality and network generation through extended protein coverage, less missing data, and reduced noise. CF-DIA-MS shows promise in expanding our knowledge of interactomes, notably for non-model organisms (NMOs). CF-MS is a valuable technique on its own, but upon the integration of DIA, the potential to develop robust PINs increases, offering a unique approach for researchers to gain an in-depth understanding into the dynamics of numerous biological processes.
蛋白质组学技术不断发展，为开发更强大、更稳健的蛋白质相互作用网络（PINs）提供了机会。部分原因是可用的高通量蛋白质组学方法的数量不断增加。本文讨论了如何整合数据非依赖性采集（DIA）和共馏分质谱（CF-MS）以增强互作组图谱绘制能力。此外，通过扩展蛋白质覆盖范围、减少缺失数据和降低噪声，整合这两种技术可以提高数据质量和网络生成能力。CF-DIA-MS 有望扩展我们对互作组的认识，尤其是对非模式生物（NMOs）。CF-MS 本身就是一种有价值的技术，但在整合 DIA 后，开发稳健的 PIN 的潜力增加了，为研究人员提供了一种独特的方法，可以深入了解许多生物学过程的动态。
