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Proteomic Substrate Identification for Membrane Proteases in the Brain

Cell-cell communication in the brain is controlled by multiple mechanisms, including proteolysis. Membrane-bound proteases generate signaling molecules from membrane-bound precursor proteins and control the length and function of cell surface membrane proteins. These proteases belong to different fa...

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Autores principales: Müller, Stephan A., Scilabra, Simone D., Lichtenthaler, Stefan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062031/
https://www.ncbi.nlm.nih.gov/pubmed/27790089
http://dx.doi.org/10.3389/fnmol.2016.00096
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author Müller, Stephan A.
Scilabra, Simone D.
Lichtenthaler, Stefan F.
author_facet Müller, Stephan A.
Scilabra, Simone D.
Lichtenthaler, Stefan F.
author_sort Müller, Stephan A.
collection PubMed
description Cell-cell communication in the brain is controlled by multiple mechanisms, including proteolysis. Membrane-bound proteases generate signaling molecules from membrane-bound precursor proteins and control the length and function of cell surface membrane proteins. These proteases belong to different families, including members of the “a disintegrin and metalloprotease” (ADAM), the beta-site amyloid precursor protein cleaving enzymes (BACE), membrane-type matrix metalloproteases (MT-MMP) and rhomboids. Some of these proteases, in particular ADAM10 and BACE1 have been shown to be essential not only for the correct development of the mammalian brain, but also for myelination and maintaining neuronal connections in the adult nervous system. Additionally, these proteases are considered as drug targets for brain diseases, including Alzheimer’s disease (AD), schizophrenia and cancer. Despite their biomedical relevance, the molecular functions of these proteases in the brain have not been explored in much detail, as little was known about their substrates. This has changed with the recent development of novel proteomic methods which allow to identify substrates of membrane-bound proteases from cultured cells, primary neurons and other primary brain cells and even in vivo from minute amounts of mouse cerebrospinal fluid (CSF). This review summarizes the recent advances and highlights the strengths of the individual proteomic methods. Finally, using the example of the Alzheimer-related proteases BACE1, ADAM10 and γ-secretase, as well as ADAM17 and signal peptide peptidase like 3 (SPPL3), we illustrate how substrate identification with novel methods is instrumental in elucidating broad physiological functions of these proteases in the brain and other organs.
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spelling pubmed-50620312016-10-27 Proteomic Substrate Identification for Membrane Proteases in the Brain Müller, Stephan A. Scilabra, Simone D. Lichtenthaler, Stefan F. Front Mol Neurosci Neuroscience Cell-cell communication in the brain is controlled by multiple mechanisms, including proteolysis. Membrane-bound proteases generate signaling molecules from membrane-bound precursor proteins and control the length and function of cell surface membrane proteins. These proteases belong to different families, including members of the “a disintegrin and metalloprotease” (ADAM), the beta-site amyloid precursor protein cleaving enzymes (BACE), membrane-type matrix metalloproteases (MT-MMP) and rhomboids. Some of these proteases, in particular ADAM10 and BACE1 have been shown to be essential not only for the correct development of the mammalian brain, but also for myelination and maintaining neuronal connections in the adult nervous system. Additionally, these proteases are considered as drug targets for brain diseases, including Alzheimer’s disease (AD), schizophrenia and cancer. Despite their biomedical relevance, the molecular functions of these proteases in the brain have not been explored in much detail, as little was known about their substrates. This has changed with the recent development of novel proteomic methods which allow to identify substrates of membrane-bound proteases from cultured cells, primary neurons and other primary brain cells and even in vivo from minute amounts of mouse cerebrospinal fluid (CSF). This review summarizes the recent advances and highlights the strengths of the individual proteomic methods. Finally, using the example of the Alzheimer-related proteases BACE1, ADAM10 and γ-secretase, as well as ADAM17 and signal peptide peptidase like 3 (SPPL3), we illustrate how substrate identification with novel methods is instrumental in elucidating broad physiological functions of these proteases in the brain and other organs. Frontiers Media S.A. 2016-10-13 /pmc/articles/PMC5062031/ /pubmed/27790089 http://dx.doi.org/10.3389/fnmol.2016.00096 Text en Copyright © 2016 Müller, Scilabra and Lichtenthaler. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Müller, Stephan A.
Scilabra, Simone D.
Lichtenthaler, Stefan F.
Proteomic Substrate Identification for Membrane Proteases in the Brain
title Proteomic Substrate Identification for Membrane Proteases in the Brain
title_full Proteomic Substrate Identification for Membrane Proteases in the Brain
title_fullStr Proteomic Substrate Identification for Membrane Proteases in the Brain
title_full_unstemmed Proteomic Substrate Identification for Membrane Proteases in the Brain
title_short Proteomic Substrate Identification for Membrane Proteases in the Brain
title_sort proteomic substrate identification for membrane proteases in the brain
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062031/
https://www.ncbi.nlm.nih.gov/pubmed/27790089
http://dx.doi.org/10.3389/fnmol.2016.00096
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