A novel 2D-based approach to the discovery of candidate substrates for the metalloendopeptidase meprin

Ambort, Daniel; Stalder, Daniel; Lottaz, Daniel; Huguenin, Maya; Oneda, Beatrice; Heller, Manfred; Sterchi, Erwin E (2008). A novel 2D-based approach to the discovery of candidate substrates for the metalloendopeptidase meprin. FEBS journal, 275(18), pp. 4490-509. Oxford: Wiley-Blackwell 10.1111/j.1742-4658.2008.06592.x

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In the past, protease-substrate finding proved to be rather haphazard and was executed by in vitro cleavage assays using singly selected targets. In the present study, we report the first protease proteomic approach applied to meprin, an astacin-like metalloendopeptidase, to determine physiological substrates in a cell-based system of Madin-Darby canine kidney epithelial cells. A simple 2D IEF/SDS/PAGE-based image analysis procedure was designed to find candidate substrates in conditioned media of Madin-Darby canine kidney cells expressing meprin in zymogen or in active form. The method enabled the discovery of hitherto unknown meprin substrates with shortened (non-trypsin-generated) N- and C-terminally truncated cleavage products in peptide fragments upon LC-MS/MS analysis. Of 22 (17 nonredundant) candidate substrates identified, the proteolytic processing of vinculin, lysyl oxidase, collagen type V and annexin A1 was analysed by means of immunoblotting validation experiments. The classification of substrates into functional groups may propose new functions for meprins in the regulation of cell homeostasis and the extracellular environment, and in innate immunity, respectively.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Unit Childrens Hospital > Thromboselabor Kinderklinik [discontinued] 04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Biochemistry and Molecular Medicine
UniBE Contributor:	Heller, Manfred, Sterchi, Erwin-Ernst
ISSN:	1742-464X
ISBN:	18671728
Publisher:	Wiley-Blackwell
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 15:03
Last Modified:	05 Dec 2022 14:19
Publisher DOI:	10.1111/j.1742-4658.2008.06592.x
PubMed ID:	18671728
Web of Science ID:	000258729100007
URI:	https://boris.unibe.ch/id/eprint/27326 (FactScience: 106043)