Literature DB >> 28299737

Time-Resolved Analysis of Matrix Metalloproteinase Substrates in Complex Samples.

Pascal Schlage1, Fabian E Egli1, Ulrich Auf dem Keller2.   

Abstract

Identification of physiological substrates is the key to understanding the pleiotropic functions of matrix metalloproteinases (MMPs) in health and disease. Quantitative mass spectrometry-based proteomics has revolutionized current approaches in protease substrate discovery and helped to unravel many new MMP activities in complex biological systems. Multiplexing further extended the capabilities of these techniques and facilitated more complicated experimental designs that include multiple proteases or monitoring the activity of a single protease at more than one concentration or at multiple time points with a complex test proteome. In this chapter, we provide a protocol for time-resolved iTRAQ-based Terminal Amine Isotopic Labeling of Substrates (TAILS), with the focus on MMP substrate identification and characterization in cell culture supernatants and introduce an automated procedure for the interpretation of time-resolved iTRAQ-TAILS datasets.

Entities:  

Keywords:  Protease; Proteomics; Substrate discovery; Time-resolved degradomics; iTRAQ-TAILS

Mesh:

Substances:

Year:  2017        PMID: 28299737     DOI: 10.1007/978-1-4939-6863-3_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Protease Activity Profiling of Snake Venoms Using High-Throughput Peptide Screening.

Authors:  Konstantinos Kalogeropoulos; Andreas Frederik Treschow; Ulrich Auf dem Keller; Teresa Escalante; Alexandra Rucavado; José María Gutiérrez; Andreas Hougaard Laustsen; Christopher T Workman
Journal:  Toxins (Basel)       Date:  2019-03-19       Impact factor: 4.546

Review 2.  The quest for substrates and binding partners: A critical barrier for understanding the role of ADAMTS proteases in musculoskeletal development and disease.

Authors:  Brandon Satz-Jacobowitz; Dirk Hubmacher
Journal:  Dev Dyn       Date:  2020-09-17       Impact factor: 3.780

  2 in total

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