Literature DB >> 30705125

Quantitative Multiplex Substrate Profiling of Peptidases by Mass Spectrometry.

John D Lapek1,2, Zhenze Jiang2,3, Jacob M Wozniak1,2, Elena Arutyunova4, Steven C Wang2,5, M Joanne Lemieux4, David J Gonzalez6,2, Anthony J O'Donoghue7.   

Abstract

Proteolysis is an integral component of life and has been implicated in many disease processes. To improve our understanding of peptidase function, it is imperative to develop tools to uncover substrate specificity and cleavage efficiency. Here, we combine the quantitative power of tandem mass tags (TMTs) with an established peptide cleavage assay to yield quantitative Multiplex Substrate Profiling by Mass Spectrometry (qMSP-MS). This assay was validated with papain, a well-characterized cysteine peptidase, to generate cleavage efficiency values for hydrolysis of 275 unique peptide bonds in parallel. To demonstrate the breath of this assay, we show that qMSP-MS can uncover the substrate specificity of minimally characterized intramembrane rhomboid peptidases, as well as define hundreds of proteolytic activities in complex biological samples, including secretions from lung cancer cell lines. Importantly, our qMSP-MS library uses synthetic peptides whose termini are unmodified, allowing us to characterize not only endo- but also exo-peptidase activity. Each cleaved peptide sequence can be ranked by turnover rate, and the amino acid sequence of the best substrates can be used for designing fluorescent reporter substrates. Discovery of peptide substrates that are selectively cleaved by peptidases which are active at the site of disease highlights the potential for qMSP-MS to guide the development of peptidase-activating drugs for cancer and infectious disease.
© 2019 Lapek et al.

Entities:  

Keywords:  Lung cancer; Mass Spectrometry; Proteases*; Proteolysis*; Rhomboid; Secretome; Substrate profiling; Tandem mass tag

Mesh:

Substances:

Year:  2019        PMID: 30705125      PMCID: PMC6495252          DOI: 10.1074/mcp.TIR118.001099

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  75 in total

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