Tuning viscoelastic properties of supramolecular peptide gels via dynamic covalent crosslinking

Khalily, Mohammad Aref; Göktas, Melis; Güler, Mustafa O.

doi:10.1039/c4ob02217c

Cited by 48 publications

(41 citation statements)

References 21 publications

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“…This is in contrast to previous works that concentrated on the classification of different mechanical regimes of fibrous networks, according to connectivity, bending rigidity and internal pre-stresses (39,(49)(50)(51)(52)(53). Note that high-connectivity networks can represent fibrous biopolymer gels that are more vigorously cross-linked (54)(55)(56) or combined with synthetic gels (57). We take the advantage of the near-affine deformation in such high-connectivity networks to develop and compare with continuum models, which allows us to gain deeper insights into the associated mechanisms.…”

Section: Discrete Fiber Simulations Of a Contracting Cell In An Isotrcontrasting

confidence: 57%

Elastic Anisotropy Governs the Range of Cell-Induced Displacements

Goren

Koren

et al. 2020

Biophysical Journal

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SignificanceTissues are made up of cells and an extracellular matrix (ECM), a cross-linked network of stiff biopolymers. Cells actively alter the ECM structure and mechanics by applying contractile forces, which allow them to sense other distant cells and regulate many tissue functions. We study theoretically the decay of cell-induced displacements in fibrous networks, while quantifying the changes in the elastic properties of the cell's local environment. We demonstrate that cell contraction induce an anisotropic elastic state, i.e., unequal principal elastic moduli, in the ECM which dictates the slow decay of displacements. These observations suggest a new mechanical mechanism through which cells can mechanically communicate over long distances, and may provide biomaterials design parameters to guide morphogenesis in tissue engineering. AbstractThe unique nonlinear mechanics of the fibrous extracellular matrix (ECM) facilitates long-range cell-cell mechanical communications that would be impossible on linear elastic substrates. Past research has described the contribution of two separated effects on the range of force transmission, including ECM elastic non-linearity and fiber alignment. However, the relation between these different effects is unclear, and how they combine to dictate force transmission range is still elusive. Here, we combine discrete fiber simulations with continuum modeling to study the decay of displacements induced by a contractile cell in fibrous networks. We demonstrate that fiber non-linearity and fiber reorientation both contribute to the Page 2 of 32 strain-induced anisotropy of the elastic moduli of the cell's local environment. This elastic anisotropy is a "lumped" parameter that governs the slow decay of the displacements, and it depends on the magnitude of applied strain, either an external tension or an internal contraction as a model of the cell. Furthermore, we show that accounting for artificially-prescribed elastic anisotropy dictates the displacement decay induced by a contracting cell. Our findings unify previous single effects into a mechanical theory that explains force transmission in fibrous networks. This work provides important insights into biological processes that involve the coordinated action of distant cells mediated by the ECM, such that occur in morphogenesis, wound healing, angiogenesis, and cancer metastasis. It may also provide design parameters for biomaterials to control force transmission between cells, as a way to guide morphogenesis in tissue engineering.In addition, we find in Fig. 3C that the data points of 2 / 1 for all types of fibers can be approximately fitted by a master curve if plotted versus the normalized strain, / crit . Here crit is the critical strain, a characteristic parameter of the network, in which 2 / 1 becomes smaller than 0.9, and the strain-induced elastic anisotropy is significant. The normalized strain, / crit , similar to the normalized cell contraction, / crit in cell contraction networks, is another "emergent" dimensionless p...

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Section: Discrete Fiber Simulations Of a Contracting Cell In An Isotrcontrasting

confidence: 57%

Elastic Anisotropy Governs the Range of Cell-Induced Displacements

Goren

Koren

et al. 2020

Biophysical Journal

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“…This has been followed by optimizing the incubation time and concentration of glutaraldehyde as the crosslinker. Glutaraldehyde has been widely used as crosslinking agent for immobilizing biomolecules [25,26,27]. In this work, the impact of optimization has been studied by estimating both the steady state sensitivity and noise power spectral density (PSD) from the drain current characteristics for each of the functionalization parameters, followed by calculation of their ratio to obtain SNR, with varying Hep-B virus concentration.…”

Section: Introductionmentioning

confidence: 99%

Graphene Nanogrids FET Immunosensor: Signal to Noise Ratio Enhancement

Basu

RoyChaudhuri

2016

Sensors

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Recently, a reproducible and scalable chemical method for fabrication of smooth graphene nanogrids has been reported which addresses the challenges of graphene nanoribbons (GNR). These nanogrids have been found to be capable of attomolar detection of biomolecules in field effect transistor (FET) mode. However, for detection of sub-femtomolar concentrations of target molecule in complex mixtures with reasonable accuracy, it is not sufficient to only explore the steady state sensitivities, but is also necessary to investigate the flicker noise which dominates at frequencies below 100 kHz. This low frequency noise is dependent on the exposure time of the graphene layer in the buffer solution and concentration of charged impurities at the surface. In this paper, the functionalization strategy of graphene nanogrids has been optimized with respect to concentration and incubation time of the cross linker for an enhancement in signal to noise ratio (SNR). It has been interestingly observed that as the sensitivity and noise power change at different rates with the functionalization parameters, SNR does not vary monotonically but is maximum corresponding to a particular parameter. The optimized parameter has improved the SNR by 50% which has enabled a detection of 0.05 fM Hep-B virus molecules with a sensitivity of around 30% and a standard deviation within 3%. Further, the SNR enhancement has resulted in improvement of quantification accuracy by five times and selectivity by two orders of magnitude.

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“…[15] As an intrinsic characteristic of self-assembling peptide amphiphile molecules,t hey can encapsulate large amount of water to form agel. [16] As canning electron microscope (SEM) image of critically dried K-PA aerogel revealed a3 Dn etwork of high-aspect-ratio 1D peptide nanofibers (Supporting Information, Figure S4c) with al ength in micrometers and diameter of ca. TheK -PAg el with ad amping factor (G''/G')o f0 .01 showed dominantly elastic over viscous character.…”

mentioning

confidence: 99%

Facile Synthesis of Three‐Dimensional Pt‐TiO₂ Nano‐networks: A Highly Active Catalyst for the Hydrolytic Dehydrogenation of Ammonia–Borane

et al. 2016

Self Cite

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Three-dimensional (3D) porous metal and metal oxide nanostructures have received considerable interest because organization of inorganic materials into 3D nanomaterials holds extraordinary properties such as low density, high porosity, and high surface area. Supramolecular self-assembled peptide nanostructures were exploited as an organic template for catalytic 3D Pt-TiO2 nano-network fabrication. A 3D peptide nanofiber aerogel was conformally coated with TiO2 by atomic layer deposition (ALD) with angstrom-level thickness precision. The 3D peptide-TiO2 nano-network was further decorated with highly monodisperse Pt nanoparticles by using ozone-assisted ALD. The 3D TiO2 nano-network decorated with Pt nanoparticles shows superior catalytic activity in hydrolysis of ammonia-borane, generating three equivalents of H2 .

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Tuning viscoelastic properties of supramolecular peptide gels via dynamic covalent crosslinking

Abstract: A dynamic covalent crosslinking approach is used to crosslink supramolecular peptide gels. This novel approach facilitates tuning viscoelastic properties of the gel and enhances mechanical stability (storage modulus exceeding 10(5) Pa) of the peptide gels.

Cited by 48 publications

References 21 publications

Elastic Anisotropy Governs the Range of Cell-Induced Displacements

Elastic Anisotropy Governs the Range of Cell-Induced Displacements

Graphene Nanogrids FET Immunosensor: Signal to Noise Ratio Enhancement

Facile Synthesis of Three‐Dimensional Pt‐TiO₂ Nano‐networks: A Highly Active Catalyst for the Hydrolytic Dehydrogenation of Ammonia–Borane

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Tuning viscoelastic properties of supramolecular peptide gels via dynamic covalent crosslinking

Abstract: A dynamic covalent crosslinking approach is used to crosslink supramolecular peptide gels. This novel approach facilitates tuning viscoelastic properties of the gel and enhances mechanical stability (storage modulus exceeding 10(5) Pa) of the peptide gels.

Cited by 48 publications

References 21 publications

Elastic Anisotropy Governs the Range of Cell-Induced Displacements

Elastic Anisotropy Governs the Range of Cell-Induced Displacements

Graphene Nanogrids FET Immunosensor: Signal to Noise Ratio Enhancement

Facile Synthesis of Three‐Dimensional Pt‐TiO2 Nano‐networks: A Highly Active Catalyst for the Hydrolytic Dehydrogenation of Ammonia–Borane

Contact Info

Product

Resources

About

Facile Synthesis of Three‐Dimensional Pt‐TiO₂ Nano‐networks: A Highly Active Catalyst for the Hydrolytic Dehydrogenation of Ammonia–Borane