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Trends in extracellular matrix biology

Extracellular matrixes (ECMs) are intricate 3-dimensional macromolecular networks of unique architectures with regulatory roles in cell morphology and functionality. As a dynamic native biomaterial, ECM undergoes constant but tightly controlled remodeling that is crucial for the maintenance of norma...

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Autores principales: Kyriakopoulou, Konstantina, Piperigkou, Zoi, Tzaferi, Kyriaki, Karamanos, Nikos K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884264/
https://www.ncbi.nlm.nih.gov/pubmed/36342580
http://dx.doi.org/10.1007/s11033-022-07931-y
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author Kyriakopoulou, Konstantina
Piperigkou, Zoi
Tzaferi, Kyriaki
Karamanos, Nikos K.
author_facet Kyriakopoulou, Konstantina
Piperigkou, Zoi
Tzaferi, Kyriaki
Karamanos, Nikos K.
author_sort Kyriakopoulou, Konstantina
collection PubMed
description Extracellular matrixes (ECMs) are intricate 3-dimensional macromolecular networks of unique architectures with regulatory roles in cell morphology and functionality. As a dynamic native biomaterial, ECM undergoes constant but tightly controlled remodeling that is crucial for the maintenance of normal cellular behavior. Under pathological conditions like cancer, ECM remodeling ceases to be subjected to control resulting in disease initiation and progression. ECM is comprised of a staggering number of molecules that interact not only with one another, but also with neighboring cells via cell surface receptors. Such interactions, too many to tally, are of paramount importance for the identification of novel disease biomarkers and more personalized therapeutic intervention. Recent advances in big data analytics have allowed the development of online databases where researchers can take advantage of a stochastic evaluation of all the possible interactions and narrow them down to only those of interest for their study, respectively. This novel approach addresses the limitations that currently exist in studies, expands our understanding on ECM interactions, and has the potential to advance the development of targeted therapies. In this article we present the current trends in ECM biology research and highlight its importance in tissue integrity, the main interaction networks, ECM-mediated cell functional properties and issues related to pharmacological targeting.
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spelling pubmed-98842642023-01-30 Trends in extracellular matrix biology Kyriakopoulou, Konstantina Piperigkou, Zoi Tzaferi, Kyriaki Karamanos, Nikos K. Mol Biol Rep Review Extracellular matrixes (ECMs) are intricate 3-dimensional macromolecular networks of unique architectures with regulatory roles in cell morphology and functionality. As a dynamic native biomaterial, ECM undergoes constant but tightly controlled remodeling that is crucial for the maintenance of normal cellular behavior. Under pathological conditions like cancer, ECM remodeling ceases to be subjected to control resulting in disease initiation and progression. ECM is comprised of a staggering number of molecules that interact not only with one another, but also with neighboring cells via cell surface receptors. Such interactions, too many to tally, are of paramount importance for the identification of novel disease biomarkers and more personalized therapeutic intervention. Recent advances in big data analytics have allowed the development of online databases where researchers can take advantage of a stochastic evaluation of all the possible interactions and narrow them down to only those of interest for their study, respectively. This novel approach addresses the limitations that currently exist in studies, expands our understanding on ECM interactions, and has the potential to advance the development of targeted therapies. In this article we present the current trends in ECM biology research and highlight its importance in tissue integrity, the main interaction networks, ECM-mediated cell functional properties and issues related to pharmacological targeting. Springer Netherlands 2022-11-07 2023 /pmc/articles/PMC9884264/ /pubmed/36342580 http://dx.doi.org/10.1007/s11033-022-07931-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Kyriakopoulou, Konstantina
Piperigkou, Zoi
Tzaferi, Kyriaki
Karamanos, Nikos K.
Trends in extracellular matrix biology
title Trends in extracellular matrix biology
title_full Trends in extracellular matrix biology
title_fullStr Trends in extracellular matrix biology
title_full_unstemmed Trends in extracellular matrix biology
title_short Trends in extracellular matrix biology
title_sort trends in extracellular matrix biology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884264/
https://www.ncbi.nlm.nih.gov/pubmed/36342580
http://dx.doi.org/10.1007/s11033-022-07931-y
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