蛋白质组学技术不断进步,提供机会开发更强大、更强大的蛋白质相互作用网络(PIN)。在某种程度上,这是由于可利用的高通量蛋白质组学方法数量不断增加.这篇综述讨论了如何整合数据独立采集(DIA)和共分馏质谱(CF-MS)以增强相互作用组作图能力。此外,整合这两种技术可以通过扩展蛋白质覆盖范围来提高数据质量和网络生成,少丢失数据,减少噪音。CF-DIA-MS在扩大我们对互动领域的知识方面显示出希望,特别是对于非模型生物(NMO)。CF-MS本身是一种有价值的技术,但是随着DIA的整合,开发强大PIN的潜力增加,为研究人员提供了一种独特的方法,以深入了解众多生物过程的动力学。
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.