Lee Fred, Shao Xinhao, Considine James M, Gao Yu Tom, Naba Alexandra
Department of Physiology and Biophysics, University of Illinois Chicago, Chicago, IL 60612, U.S.A.
College of Pharmacy, University of Illinois Chicago, Chicago, IL 60612, U.S.A.
bioRxiv. 2025 Mar 28:2025.03.26.645502. doi: 10.1101/2025.03.26.645502.
The extracellular matrix (ECM) is a complex and dynamic meshwork of proteins providing structural support to cells. It also provides biochemical signals governing cellular processes, including proliferation, adhesion, and migration. Alterations of ECM structure and/or composition have been linked to many pathological processes, including cancer and fibrosis. Over the past decade, mass-spectrometry-based proteomics has become the state-of-the-art method to profile the protein composition of ECMs. However, existing methods do not fully capture the broad dynamic range of protein abundances in the ECM. They also do not permit to achieve the high coverage needed to gain finer biochemical on ECM proteoforms (, isoforms, post-translational modifications) and topographical information critical to better understand ECM protein functions. Here, we present the development of a time-lapsed proteomic pipeline using limited tryptic proteolysis and sequential release of peptides over time. This experimental pipeline was combined with data-independent acquisition mass spectrometry and the assembly of a custom matrisome spectral library to enhance peptide-to-spectrum matching. This pipeline shows superior protein identification, peptide-to-spectrum matching, and significantly increased sequence coverage against standard ECM proteomic pipelines. Exploiting the spatio-temporal resolution of this method, we further demonstrate how time-resolved 3-dimensional peptide mapping can identify protein regions differentially susceptible to trypsin, which may aid in identifying protein-protein interaction sites.
细胞外基质(ECM)是一个复杂且动态的蛋白质网络,为细胞提供结构支持。它还提供调控细胞过程的生化信号,包括增殖、黏附和迁移。ECM结构和/或组成的改变与许多病理过程相关,包括癌症和纤维化。在过去十年中,基于质谱的蛋白质组学已成为分析ECM蛋白质组成的最先进方法。然而,现有方法并未完全捕捉到ECM中蛋白质丰度的广泛动态范围。它们也无法实现获得更精细的ECM蛋白质变体(如异构体、翻译后修饰)生化信息以及对更好理解ECM蛋白质功能至关重要的拓扑信息所需的高覆盖率。在此,我们展示了一种使用有限胰蛋白酶解并随时间顺序释放肽段的延时蛋白质组学流程的开发。该实验流程与数据非依赖采集质谱联用,并构建了一个定制的基质组学光谱库以增强肽段与光谱的匹配。与标准的ECM蛋白质组学流程相比,该流程在蛋白质鉴定、肽段与光谱匹配方面表现出色,序列覆盖率显著提高。利用该方法的时空分辨率,我们进一步证明了时间分辨的三维肽段图谱如何能够识别对胰蛋白酶敏感性不同的蛋白质区域,这可能有助于识别蛋白质-蛋白质相互作用位点。