Dynamic cell behavior on shape memory polymer substrates

Davis, Kevin; Burke, Kelly A.; Mather, Patrick T.; Henderson, James H.

doi:10.1016/j.biomaterials.2010.12.006

Cited by 213 publications

(175 citation statements)

References 46 publications

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“…On the other hand, a few new shape memory phenomena have been discovered [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47], which not only enhance the flexibility of the current shape memory technology, but also add in new dimensions for extended versatility and adoptability. Consequently, a number of novel concepts have been proposed for a range of engineering applications [45,[48][49][50][51][52][53][54], in particular in the field of biomedical engineering as of the last couple of years [24,43,[55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70].…”

Section: Figurementioning

confidence: 99%

Mechanisms of the Shape Memory Effect in Polymeric Materials

et al. 2013

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Abstract:This review paper summarizes the recent research progress in the underlying mechanisms behind the shape memory effect (SME) and some newly discovered shape memory phenomena in polymeric materials. It is revealed that most polymeric materials, if not all, intrinsically have the thermo/chemo-responsive SME. It is demonstrated that a good understanding of the fundamentals behind various types of shape memory phenomena in polymeric materials is not only useful in design/synthesis of new polymeric shape memory materials (SMMs) with tailored performance, but also helpful in optimization of the existing ones, and thus remarkably widens the application field of polymeric SMMs.

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Section: Figurementioning

confidence: 99%

Mechanisms of the Shape Memory Effect in Polymeric Materials

et al. 2013

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“…Harnessing the shapememory effect for dynamic cell behaviour analysis is a technique that has only recently been enabled, as substrates with topography-change under cytocompatible triggering conditions have only recently been achieved. SMP substrates transitioning from isotropic to anisotropic topographies have been used to control cell alignment and cell morphology at both the micro- [25] and nanoscale [28,30]. Recently, we have extended this capability from two-dimensional substrates to three-dimemnsional scaffolds and demonstrated cell orientation to be controlled in fibre mats transitioning from an anisotropic to an isotropic architecture [29].…”

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confidence: 99%

“…For example, materials with mechanically or magnetically actuated surface topography or altered stiffness can change cell morphology [21][22][23] and lineage specification [24]. Recently, we [25][26][27][28][29] and others [30,31] developed twodimensional substrates and three-dimensional scaffolds based on shape-memory polymers (SMPs)-a class of smart materials capable of undergoing a programmed & 2014 The Author(s) Published by the Royal Society. All rights reserved.…”

Section: Introductionmentioning

confidence: 99%

Automated, contour-based tracking and analysis of cell behaviour over long time scales in environments of varying complexity and cell density

Baker

Brasch

Manning

et al. 2014

J. R. Soc. Interface.

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ResearchCite this article: Baker RM, Brasch ME, Manning ML, Henderson JH. 2014 Automated, contour-based tracking and analysis of cell behaviour over long time scales in environments of varying complexity and cell density. J. R. Soc. Understanding single and collective cell motility in model environments is foundational to many current research efforts in biology and bioengineering. To elucidate subtle differences in cell behaviour despite cell-to-cell variability, we introduce an algorithm for tracking large numbers of cells for long time periods and present a set of physics-based metrics that quantify differences in cell trajectories. Our algorithm, termed automated contour-based tracking for in vitro environments (ACTIVE), was designed for adherent cell populations subject to nuclear staining or transfection. ACTIVE is distinct from existing tracking software because it accommodates both variability in image intensity and multi-cell interactions, such as divisions and occlusions. When applied to low-contrast images from live-cell experiments, ACTIVE reduced error in analysing cell occlusion events by as much as 43% compared with a benchmark-tracking program while simultaneously tracking cell divisions and resulting daughter-daughter cell relationships. The large dataset generated by ACTIVE allowed us to develop metrics that capture subtle differences between cell trajectories on different substrates. We present cell motility data for thousands of cells studied at varying densities on shape-memory-polymer--based nanotopographies and identify several quantitative differences, including an unanticipated difference between two 'control' substrates. We expect that ACTIVE will be immediately useful to researchers who require accurate, long-time-scale motility data for many cells.

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“…By 30 h at 30°C, the amplitude has been reduced by~50% ( Figure 4, time 0) 16 . It reduces another 10% over the next 9.5 h. When recovery is triggered by increasing the temperature to 37°C, the amplitude reduces to 0.5% of the initial amplitude within 9.5 h. For the embosser used and an embossing stress of 4.9 MPa, this corresponds to a functional change of 13 μm grooves to a nearly flat surface.…”

Section: Representative Resultsmentioning

confidence: 99%

Shape Memory Polymers for Active Cell Culture

Davis¹,

Luo²,

Mather³

et al. 2011

JoVE

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Shape memory polymers (SMPs) are a class of "smart" materials that have the ability to change from a fixed, temporary shape to a pre-determined permanent shape upon the application of a stimulus such as heat [1][2][3][4][5] . In a typical shape memory cycle, the SMP is first deformed at an elevated temperature that is higher than its transition temperature, Ttrans [either the melting temperature (Tm) or the glass transition temperature (Tg)]. The deformation is elastic in nature and mainly leads to a reduction in conformational entropy of the constituent network chains (following the rubber elasticity theory). The deformed SMP is then cooled to a temperature below its Ttrans while maintaining the external strain or stress constant. During cooling, the material transitions to a more rigid state (semi-crystalline or glassy), which kinetically traps or "freezes" the material in this low-entropy state leading to macroscopic shape fixing. Shape recovery is triggered by continuously heating the material through T trans under a stress-free (unconstrained) condition. By allowing the network chains (with regained mobility) to relax to their thermodynamically favored, maximal-entropy state, the material changes from the temporary shape to the permanent shape.Cells are capable of surveying the mechanical properties of their surrounding environment 6 . The mechanisms through which mechanical interactions between cells and their physical environment control cell behavior are areas of active research. Substrates of defined topography have emerged as powerful tools in the investigation of these mechanisms. Mesoscale, microscale, and nanoscale patterns of substrate topography have been shown to direct cell alignment, cell adhesion, and cell traction forces 7-14 . These findings have underscored the potential for substrate topography to control and assay the mechanical interactions between cells and their physical environment during cell culture, but the substrates used to date have generally been passive and could not be programmed to change significantly during culture. This physical stasis has limited the potential of topographic substrates to control cells in culture.Here, active cell culture (ACC) SMP substrates are introduced that employ surface shape memory to provide programmed control of substrate topography and deformation. These substrates demonstrate the ability to transition from a temporary grooved topography to a second, nearly flat memorized topography. This change in topography can be used to control cell behavior under standard cell culture conditions. Figure 1. The chamber is held together using small binder clips. 2. Inject the NOA63 into the chamber through a hole in the Teflon spacer using an 18 gauge needle. The NOA63 can be gently heated to ease injection. 3. Place the chamber on a hot plate set at 125°C and allow to heat to a uniform temperature for 5 min. 4. Pre-cure the NOA63 in a UV lamp chamber (λmax = 365 nm; see Table) for 20 min with the lamp 6.5 cm from the surface of the glass. 5. Remov...

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Dynamic cell behavior on shape memory polymer substrates

Cited by 213 publications

References 46 publications

Mechanisms of the Shape Memory Effect in Polymeric Materials

Mechanisms of the Shape Memory Effect in Polymeric Materials

Automated, contour-based tracking and analysis of cell behaviour over long time scales in environments of varying complexity and cell density

Shape Memory Polymers for Active Cell Culture

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