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Advanced Healthcare Materials
Article . 2017 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Advanced Healthcare Materials
Article
License: CC BY
Data sources: UnpayWall
MPG.PuRe
Article . 2017
Data sources: MPG.PuRe
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Mechanotransduction and Growth Factor Signalling to Engineer Cellular Microenvironments

Authors: Cipitria, Amaia; Salmeron-Sanchez, Manuel;

Mechanotransduction and Growth Factor Signalling to Engineer Cellular Microenvironments

Abstract

Engineering cellular microenvironments involves biochemical factors, the extracellular matrix (ECM) and the interaction with neighbouring cells. This progress report provides a critical overview of key studies that incorporate growth factor (GF) signalling and mechanotransduction into the design of advanced microenvironments. Materials systems have been developed for surface‐bound presentation of GFs, either covalently tethered or sequestered through physico‐chemical affinity to the matrix, as an alternative to soluble GFs. Furthermore, some materials contain both GF and integrin binding regions and thereby enable synergistic signalling between the two. Mechanotransduction refers to the ability of the cells to sense physical properties of the ECM and to transduce them into biochemical signals. Various aspects of the physics of the ECM, i.e. stiffness, geometry and ligand spacing, as well as time‐dependent properties, such as matrix stiffening, degradability, viscoelasticity, surface mobility as well as spatial patterns and gradients of physical cues are discussed. To conclude, various examples illustrate the potential for cooperative signalling of growth factors and the physical properties of the microenvironment for potential applications in regenerative medicine, cancer research and drug testing.

Keywords

Tissue Engineering, Mechanotransduction, Cellular, Extracellular Matrix, Cellular Microenvironment, Elastic Modulus, Animals, Humans, Intercellular Signaling Peptides and Proteins, Stress, Mechanical, Cell Proliferation

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Top 10%
Green
hybrid