Time-resolved Analysis of the Matrix Metalloproteinase 10 Substrate Degradome

Proteolysis is an irreversible post-translational modification that affects intra- and intercellular communication by modulating the activity of bioactive mediators. Key to understanding protease function is the system-wide identification of cleavage events and their dynamics in physiological contexts. Despite recent advances in mass spectrometry-based proteomics for high-throughput substrate screening, current approaches suffer from high false positive rates and only capture single states of protease activity. Here, we present a workflow based on multiplexed terminal amine isotopic labeling of substrates for time-resolved substrate degradomics in complex proteomes. This approach significantly enhances confidence in substrate identification and categorizes cleavage events by specificity and structural accessibility of the cleavage site. We demonstrate concomitant quantification of cleavage site spanning peptides and neo-N and/or neo-C termini to estimate relative ratios of noncleaved and cleaved forms of substrate proteins. By applying this strategy to dissect the matrix metalloproteinase 10 (MMP10) substrate degradome in fibroblast secretomes, we identified the extracellular matrix protein ADAMTS-like protein 1 (ADAMTSL1) as a direct MMP10 substrate and revealed MMP10-dependent ectodomain shedding of platelet-derived growth factor receptor alpha (PDGFRα) as well as sequential processing of type I collagen. The data have been deposited to the ProteomeXchange Consortium with identifier PXD000503.Historically regarded as a mechanism for unspecific degradation of proteins, proteolysis is now recognized as a specific irreversible post-translational modification that affects major intra- and intercellular signaling processes (1, 2). Proteases specifically process bioactive proteins, their receptors, and associated proteins in an interconnected interaction network termed the protease web (3). Dysregulation of the protease web might cause or result from pathologies, such as impaired tissue repair, cancer and neurodegenerative diseases. Therefore, a better understanding of the functions of individual proteases and their interconnections within proteolytic networks is a prerequisite for exploiting proteases as targets for therapeutic intervention (4).To address this issue, several powerful technologies have been developed for the system-wide discovery of protease substrates, i.e. substrate degradomes, in complex and active proteomes (5, 6). A common principle of these mass spectrometry-based methods is the enrichment and monitoring of N-terminal peptides (protein neo-N termini) that are newly generated by a test protease (7). Protein N termini are enriched from complex proteomes either by chemical tagging and affinity resins (positive selection) or by depletion of internal peptides (negative selection) (7). Both principles have been successfully applied in various studies to characterize N-terminomes and to identify protease substrates using in vitro or cell-based systems and more recently also in vivo (8, 9). Negative enrichment approaches were further extended to the analysis of protein C termini (10, 11) and have the general advantage of recording data on naturally blocked (e.g. acetylated) N termini and internal peptides in the same experiment (8).Even if successful in identifying novel proteolytic cleavage events, which could also be validated by orthogonal methods, high-throughput substrate discovery approaches potentially suffer from high numbers of false positive identifications, particularly when employing in vitro systems (12). These have been reduced by monitoring abundances of N-terminal peptides at multiple time points after incubation of a proteome with a test protease (12). In this SILAC-based approach the authors efficiently distinguished critical from bystander cleavages, but it was limited to three time points. Therefore, it did not allow recording kinetic profiles of the relative abundance of N-terminal peptides that are required for determination of apparent kinetic parameters for processing events. Agard et al. elegantly overcame this limitation by use of selected reaction monitoring (SRM)¹ in combination with a positive N-terminal enrichment platform and determined apparent catalytic efficiencies for hundreds of caspase cleavage events in parallel (13). In a similar approach the same group characterized cellular responses to pro-apoptotic cancer drugs by recording time-courses for caspase-generated neo-N termini (14). Although very powerful and highly accurate in quantification, this method strongly exploited the canonical cleavage specificity of caspases after aspartate residues and required a two-stage process involving two types of mass spectrometers. Hence, it would be desirable to monitor the time-resolved generation of neo-N termini in complex proteomes in a single experiment by a simple and robust workflow in an unbiased manner.The development of such an analysis platform would require a reliable method for the system-wide characterization of protein N termini that is easy to perform, fast and highly multiplexible. All these criteria are met by iTRAQ-terminal amine isotopic labeling of substrates (TAILS), a multiplex N-terminome analysis technique that has been applied in 2plex and 4plex experiments to map the matrix metalloproteinase (MMP) 2 and MMP9 substrate degradomes in vitro (15) and most recently to quantitatively analyze the proteome and N-terminome of inflamed mouse skin in the presence or absence of the immune-modulatory protease MMP2 in vivo (8).Here, we exploited the multiplex capabilities of iTRAQ-TAILS by use of 8plex-iTRAQ reagents to monitor the generation of neo-N-terminal peptides by a test protease in complex samples over time. First, using GluC as a test protease with canonical cleavage specificity, we established a workflow for time-resolved substrate degradomics. Recording kinetic profiles significantly increased the confidence in identified cleavage events compared with binary systems and categorized primary cleavage specificities as well as secondary structure elements based on clusters of processing events with different efficiencies. By including data from before N-terminal enrichment, we extended our analysis to neo-C-terminal peptides and concomitantly monitored the generation of neo-N termini and neo-C termini as well as the decrease in abundance of the tryptic peptides spanning the cleavage sites in the same experiment. Next, we applied this approach to the time-resolved analysis of the hardly elucidated substrate degradome of matrix metalloproteinase 10 (MMP10). This important wound- and tumor-related protease is secreted by proliferating and migrating keratinocytes at the wound edge in close proximity to dermal fibroblasts and is also highly expressed in aggressive tumor cells (16–18). Our analysis revealed MMP10-dependent shedding of the platelet-derived growth factor receptor alpha (PDGFRα), processing of ADAMTS-like protein 1 (ADAMTSL1) and multiple cleavages of type I collagen, which could be validated and classified by time-resolved abundance profiles of their corresponding neo-N termini.