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Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks

The interactions between cells and their extracellular matrix (ECM) are critically important for homeostatic control of cell growth, proliferation, differentiation and apoptosis. Transmembrane integrin molecules facilitate the communication between ECM and the cell. Since the characterization of int...

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Autores principales: Karagöz, Zeynep, Rijns, Laura, Dankers, Patricia Y.W., van Griensven, Martijn, Carlier, Aurélie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779863/
https://www.ncbi.nlm.nih.gov/pubmed/33425258
http://dx.doi.org/10.1016/j.csbj.2020.12.025
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author Karagöz, Zeynep
Rijns, Laura
Dankers, Patricia Y.W.
van Griensven, Martijn
Carlier, Aurélie
author_facet Karagöz, Zeynep
Rijns, Laura
Dankers, Patricia Y.W.
van Griensven, Martijn
Carlier, Aurélie
author_sort Karagöz, Zeynep
collection PubMed
description The interactions between cells and their extracellular matrix (ECM) are critically important for homeostatic control of cell growth, proliferation, differentiation and apoptosis. Transmembrane integrin molecules facilitate the communication between ECM and the cell. Since the characterization of integrins in the late 1980s, there has been great advancement in understanding the function of integrins at different subcellular levels. However, the versatility in molecular pathways integrins are involved in, the high diversity in their interaction partners both outside and inside the cell as well as on the cell membrane and the short lifetime of events happening at the cell–ECM interface make it difficult to elucidate all the details regarding integrin function experimentally. To overcome the experimental challenges and advance the understanding of integrin biology, computational modeling tools have been used extensively. In this review, we summarize the computational models of integrin signaling while we explain the function of integrins at three main subcellular levels (outside the cell, cell membrane, cytosol). We also discuss how these computational modeling efforts can be helpful in other disciplines such as biomaterial design. As such, this review is a didactic modeling summary for biomaterial researchers interested in complementing their experimental work with computational tools or for seasoned computational scientists that would like to advance current in silico integrin models.
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spelling pubmed-77798632021-01-08 Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks Karagöz, Zeynep Rijns, Laura Dankers, Patricia Y.W. van Griensven, Martijn Carlier, Aurélie Comput Struct Biotechnol J Review The interactions between cells and their extracellular matrix (ECM) are critically important for homeostatic control of cell growth, proliferation, differentiation and apoptosis. Transmembrane integrin molecules facilitate the communication between ECM and the cell. Since the characterization of integrins in the late 1980s, there has been great advancement in understanding the function of integrins at different subcellular levels. However, the versatility in molecular pathways integrins are involved in, the high diversity in their interaction partners both outside and inside the cell as well as on the cell membrane and the short lifetime of events happening at the cell–ECM interface make it difficult to elucidate all the details regarding integrin function experimentally. To overcome the experimental challenges and advance the understanding of integrin biology, computational modeling tools have been used extensively. In this review, we summarize the computational models of integrin signaling while we explain the function of integrins at three main subcellular levels (outside the cell, cell membrane, cytosol). We also discuss how these computational modeling efforts can be helpful in other disciplines such as biomaterial design. As such, this review is a didactic modeling summary for biomaterial researchers interested in complementing their experimental work with computational tools or for seasoned computational scientists that would like to advance current in silico integrin models. Research Network of Computational and Structural Biotechnology 2020-12-29 /pmc/articles/PMC7779863/ /pubmed/33425258 http://dx.doi.org/10.1016/j.csbj.2020.12.025 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Karagöz, Zeynep
Rijns, Laura
Dankers, Patricia Y.W.
van Griensven, Martijn
Carlier, Aurélie
Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks
title Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks
title_full Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks
title_fullStr Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks
title_full_unstemmed Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks
title_short Towards understanding the messengers of extracellular space: Computational models of outside-in integrin reaction networks
title_sort towards understanding the messengers of extracellular space: computational models of outside-in integrin reaction networks
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779863/
https://www.ncbi.nlm.nih.gov/pubmed/33425258
http://dx.doi.org/10.1016/j.csbj.2020.12.025
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