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Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks
Protein kinase C (PKC) activation induces cellular reprogramming and differentiation in various cell models. Although many effectors of PKC physiological actions have been elucidated, the molecular mechanisms regulating oligodendrocyte differentiation after PKC activation are still unclear. Here, we...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156399/ https://www.ncbi.nlm.nih.gov/pubmed/34063504 http://dx.doi.org/10.3390/ijms22105245 |
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author | Damato, Marina Cardon, Tristan Wisztorski, Maxence Fournier, Isabelle Pieragostino, Damiana Cicalini, Ilaria Salzet, Michel Vergara, Daniele Maffia, Michele |
author_facet | Damato, Marina Cardon, Tristan Wisztorski, Maxence Fournier, Isabelle Pieragostino, Damiana Cicalini, Ilaria Salzet, Michel Vergara, Daniele Maffia, Michele |
author_sort | Damato, Marina |
collection | PubMed |
description | Protein kinase C (PKC) activation induces cellular reprogramming and differentiation in various cell models. Although many effectors of PKC physiological actions have been elucidated, the molecular mechanisms regulating oligodendrocyte differentiation after PKC activation are still unclear. Here, we applied a liquid chromatography–mass spectrometry (LC–MS/MS) approach to provide a comprehensive analysis of the proteome expression changes in the MO3.13 oligodendroglial cell line after PKC activation. Our findings suggest that multiple networks that communicate and coordinate with each other may finally determine the fate of MO3.13 cells, thus identifying a modular and functional biological structure. In this work, we provide a detailed description of these networks and their participating components and interactions. Such assembly allows perturbing each module, thus describing its physiological significance in the differentiation program. We applied this approach by targeting the Rho-associated protein kinase (ROCK) in PKC-activated cells. Overall, our findings provide a resource for elucidating the PKC-mediated network modules that contribute to a more robust knowledge of the molecular dynamics leading to this cell fate transition. |
format | Online Article Text |
id | pubmed-8156399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81563992021-05-28 Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks Damato, Marina Cardon, Tristan Wisztorski, Maxence Fournier, Isabelle Pieragostino, Damiana Cicalini, Ilaria Salzet, Michel Vergara, Daniele Maffia, Michele Int J Mol Sci Article Protein kinase C (PKC) activation induces cellular reprogramming and differentiation in various cell models. Although many effectors of PKC physiological actions have been elucidated, the molecular mechanisms regulating oligodendrocyte differentiation after PKC activation are still unclear. Here, we applied a liquid chromatography–mass spectrometry (LC–MS/MS) approach to provide a comprehensive analysis of the proteome expression changes in the MO3.13 oligodendroglial cell line after PKC activation. Our findings suggest that multiple networks that communicate and coordinate with each other may finally determine the fate of MO3.13 cells, thus identifying a modular and functional biological structure. In this work, we provide a detailed description of these networks and their participating components and interactions. Such assembly allows perturbing each module, thus describing its physiological significance in the differentiation program. We applied this approach by targeting the Rho-associated protein kinase (ROCK) in PKC-activated cells. Overall, our findings provide a resource for elucidating the PKC-mediated network modules that contribute to a more robust knowledge of the molecular dynamics leading to this cell fate transition. MDPI 2021-05-15 /pmc/articles/PMC8156399/ /pubmed/34063504 http://dx.doi.org/10.3390/ijms22105245 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Damato, Marina Cardon, Tristan Wisztorski, Maxence Fournier, Isabelle Pieragostino, Damiana Cicalini, Ilaria Salzet, Michel Vergara, Daniele Maffia, Michele Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks |
title | Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks |
title_full | Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks |
title_fullStr | Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks |
title_full_unstemmed | Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks |
title_short | Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks |
title_sort | protein kinase c activation drives a differentiation program in an oligodendroglial precursor model through the modulation of specific biological networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156399/ https://www.ncbi.nlm.nih.gov/pubmed/34063504 http://dx.doi.org/10.3390/ijms22105245 |
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