Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Mass Spectrom Rev. 2022 Mar;41(2):248-261. doi: 10.1002/mas.21675. Epub 2020 Dec 8.
The set of all intra- and intermolecular interactions, collectively known as the interactome, is currently an unmet challenge for any analytical method, but if measured, could provide unparalleled insight on molecular function in living systems. Developments and applications of chemical cross-linking and high-performance mass spectrometry technologies are beginning to reveal details on how proteins interact in cells and how protein conformations and interactions inside cells change with phenotype or during drug treatment or other perturbations. A major contributor to these advances is Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) technology and its implementation with accurate mass measurements on cross-linked peptide-pair precursor and fragment ions to enable improved identification methods. However, these applications place increased demands on mass spectrometer performance in terms of high-resolution spectral acquisition rates for on-line MS experiments. Moreover, FT-ICR-MS also offers unique opportunities to develop and implement parallel ICR cells for multiplexed signal acquisition and the potential to greatly advance accurate mass acquisition rates for interactome studies. This review highlights our efforts to exploit accurate mass FT-ICR-MS technologies with chemical cross-linking and developments being pursued to realize parallel MS array capabilities that will further advance visualization of the interactome.
所有的分子内和分子间相互作用的集合,统称为相互作用组,目前是任何分析方法都未满足的挑战,但如果能够测量,将为活系统中的分子功能提供无与伦比的洞察力。化学交联和高性能质谱技术的发展和应用开始揭示蛋白质在细胞中相互作用的细节,以及蛋白质构象和相互作用如何随表型或在药物治疗或其他干扰下发生变化。这些进展的一个主要贡献者是傅里叶变换离子回旋共振质谱(FT-ICR-MS)技术及其与交联肽对前体和片段离子的精确质量测量的结合,以实现改进的鉴定方法。然而,这些应用对质谱仪的性能提出了更高的要求,即在在线 MS 实验中需要更高的高分辨率光谱采集速率。此外,FT-ICR-MS 还为开发和实现用于多路信号采集的并行 ICR 细胞提供了独特的机会,并有可能大大提高用于相互作用组研究的精确质量采集速率。这篇综述强调了我们利用化学交联和正在进行的开发来利用精确质量 FT-ICR-MS 技术的努力,以实现并行 MS 阵列功能,从而进一步推进相互作用组的可视化。