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Activity-Based Labeling of Matrix Metalloproteinases in Living Vertebrate Embryos

Overview of attention for article published in PLOS ONE, August 2012
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Title
Activity-Based Labeling of Matrix Metalloproteinases in Living Vertebrate Embryos
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043434
Pubmed ID
Authors

Jonathan Y. Keow, Eric D. Pond, Justin S. Cisar, Benjamin F. Cravatt, Bryan D. Crawford

Abstract

Extracellular matrix (ECM) remodeling is a physiologically and developmentally essential process mediated by a family of zinc-dependent extracellular proteases called matrix metalloproteinases (MMPs). In addition to complex transcriptional control, MMPs are subject to extensive post-translational regulation. Because of this, classical biochemical, molecular and histological techniques that detect the expression of specific gene products provide useful but limited data regarding the biologically relevant activity of MMPs. Using benzophenone-bearing hydroxamate-based probes that interact with the catalytic zinc ion in MMPs, active proteases can be covalently 'tagged' by UV cross-linking. This approach has been successfully used to tag MMP-2 in vitro in tissue culture supernatants, and we show here that this probe tags proteins with mobilities consistent with known MMPs and detectable gelatinolytic activity in homogenates of zebrafish embryos. Furthermore, because of the transparency of the zebrafish embryo, UV-photocroslinking can be accomplished in vivo, and rhodamated benzophenone probe is detected in striking spatial patterns consistent with known distributions of active matrix remodeling in embryos. Finally, in metamorphosing Xenopus tadpoles, this probe can be used to biotinylate active MMP-2 by injecting it and cross-linking it in vivo, allowing the protein to be subsequently extracted and biochemically identified.

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The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 11 21%
Student > Master 6 12%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 7 13%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 27%
Biochemistry, Genetics and Molecular Biology 10 19%
Chemistry 8 15%
Neuroscience 6 12%
Medicine and Dentistry 4 8%
Other 5 10%
Unknown 5 10%