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- W4308369669 endingPage "863" @default.
- W4308369669 startingPage "853" @default.
- W4308369669 abstract "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." @default.
- W4308369669 created "2022-11-11" @default.
- W4308369669 creator A5007811057 @default.
- W4308369669 creator A5012410418 @default.
- W4308369669 creator A5048799815 @default.
- W4308369669 creator A5065122611 @default.
- W4308369669 date "2022-11-07" @default.
- W4308369669 modified "2023-10-16" @default.
- W4308369669 title "Trends in extracellular matrix biology" @default.
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- W4308369669 doi "https://doi.org/10.1007/s11033-022-07931-y" @default.