Viscoelastic response of neural cells governed by the deposition of amyloid-β peptides (Aβ)

Gong, Zhiyuan; You, Ran; Chang, Raymond Chuen‐Chung; Lin, Yuan

doi:10.1063/1.4952704

Cited by 14 publications

(21 citation statements)

References 44 publications

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“…Meanwhile, the power-law exponent  of the storage modulus G′ is approximately the same as that of the loss modulus G″, both in the range of 0.1 to 0.3 in most experiments (6)(7)(8)(9). However, as the frequency further increases, the weak power-law relationship breaks down, and the loss modulus G″ shows a greater dependence on frequency than the storage modulus G′ (9)(10)(11)(12)(13). For example, at high frequencies, the storage moduli of 3T3 fibroblast and neural cells do not vary with frequency (10,12), while the loss moduli still show a power-law dependence on frequency with an exponent ~1.0 (9,10,12).…”

Section: Introductionmentioning

confidence: 77%

“…Experiments have shown that the rheological characteristics of cells vary notably from low to high frequencies (9)(10)(11)(12). Therefore, understanding the cell's rheological properties in different frequency ranges is of great significance for cell classification, identification, and diagnosis.…”

Section: Dynamical Mechanical Behavior Of Cells At Both Low and High ...mentioning

confidence: 99%

“…However, as the frequency further increases, the weak power-law relationship breaks down, and the loss modulus G″ shows a greater dependence on frequency than the storage modulus G′ (9)(10)(11)(12)(13). For example, at high frequencies, the storage moduli of 3T3 fibroblast and neural cells do not vary with frequency (10,12), while the loss moduli still show a power-law dependence on frequency with an exponent ~1.0 (9,10,12). Recently, Rigato et al (10) experimentally studied cell rheology at high frequencies (up to 10 5 Hz) and found that benign (MCF10A) and malignant (MCF7) cancer cells exhibit distinctly different rheological properties at high frequencies.…”

Section: Introductionmentioning

confidence: 99%

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Frequency-dependent transition in power-law rheological behavior of living cells

Hang

Gao

2022

Sci. Adv.

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Living cells are active viscoelastic materials exhibiting diverse mechanical behaviors at different time scales. However, dynamical rheological characteristics of cells in frequency range spanning many orders of magnitude, especially in high frequencies, remain poorly understood. Here, we show that a self-similar hierarchical model can capture cell’s power-law rheological characteristics in different frequency scales. In low-frequency scales, the storage and loss moduli exhibit a weak power-law dependence on frequency with same exponent. In high-frequency scales, the storage modulus becomes a constant, while the loss modulus shows a power-law dependence on frequency with an exponent of 1.0. The transition between low- and high-frequency scales is defined by a transition frequency based on cell’s mechanical parameters. The cytoskeletal differences of different cell types or states can be characterized by changes in mechanical parameters in the model. This study provides valuable insights into potentially using mechanics-based markers for cell classification and cancer diagnosis.

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Section: Introductionmentioning

confidence: 77%

Section: Dynamical Mechanical Behavior Of Cells At Both Low and High ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Frequency-dependent transition in power-law rheological behavior of living cells

Hang

Gao

2022

Sci. Adv.

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“…Given the essential role of axon retraction in injury-induced disintegration of the neural network, findings here could provide insights on our basic understanding of how traumatic brain injury takes place as well as on the development of possible treatment strategies. In addition, it is widely known that neurodegenerative diseases, such as Alzheimer's disease, can lead to disrupted cytoskeleton and impaired cell adhesion (50)(51)(52); however, the fundamental question of how the progression of these disorders influences the traumatic response It should be noted that both the adhesion and initial tension were assumed to be homogeneous along the axon in our model, a simplification that certainly warrants further investigation. Recent observations suggested that NCAMs tend to aggregate into small clusters at the axon-substrate interface, where, presumably, strong adhesions are formed (unpublished data).…”

Section: Discussionmentioning

confidence: 99%

Tension- and Adhesion-Regulated Retraction of Injured Axons

Shao

You

Hui

et al. 2019

Biophysical Journal

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Damage-induced retraction of axons during traumatic brain injury is believed to play a key role in the disintegration of the neural network and to eventually lead to severe symptoms such as permanent memory loss and emotional disturbances. However, fundamental questions such as how axon retraction progresses and what physical factors govern this process still remain unclear. Here, we report a combined experimental and modeling study to address these questions. Specifically, a sharp atomic force microscope probe was used to transect axons and trigger their retraction in a precisely controlled manner. Interestingly, we showed that the retracting motion of a well-developed axon can be arrested by strong cell-substrate attachment. However, axon retraction was found to be retriggered if a second transection was conducted, albeit with a lower shrinking amplitude. Furthermore, disruption of the actin cytoskeleton or cell-substrate adhesion significantly altered the retracting dynamics of injured axons. Finally, a mathematical model was developed to explain the observed injury response of neural cells in which the retracting motion was assumed to be driven by the pre-tension in the axon and progress against neuron-substrate adhesion as well as the viscous resistance of the cell. Using realistic parameters, model predictions were found to be in good agreement with our observations under a variety of experimental conditions. By revealing the essential physics behind traumatic axon retraction, findings here could provide insights on the development of treatment strategies for axonal injury as well as its possible interplay with other neurodegenerative diseases.

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“…The idea behind the method was first described in 1999 . Since then, it has found considerable use in the literature, especially for biological samples and composite materials . Due to its ability to determine viscoelastic properties, nanoDMA is especially well suited for the analysis of polymer samples.…”

Section: Methodsmentioning

confidence: 99%

Tailoring the Mechanical Properties of 3D Microstructures Using Visible Light Post‐Manufacturing

et al. 2019

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the laser, where the square of the optical intensity exceeds the threshold needed to initiate polymerization. In this way, very small feature sizes of less than 100 nm can be achieved. [3,4] Microstructures pre pared via DLW have for example been used in microfluidic chips, [5,6] metama terials, [7] or as 3D microscaffolds for cell and tissue engineering. [8] Commercial resist mixtures are available that are well suited for the rapid generation of stable structures. However, when using standard resists, the resulting microstructures are static. In order to further expand the rep ertoire of applications of DLW, new photo resists have to be designed that directly impart functionality onto the structures emerging from the writing process. [9] Our group has been pursuing this goal, pro ducing resists that, e.g., lead to conduc tive, [10] stimuliresponsive, [11] and erasable structures. [12] The mechanical properties of microstructures are critical for their application, especially when used as cell scaf folds. [13] The mechanical properties of microstructures created via DLW can certainly be tuned by careful adjustment of the writing parameters (i.e., laser power and scan speed), but only to a limited extent. [14] Herein, we present the first photoresist for DLW that is capable of generating microstructures whose mechanical properties can be adjusted postwriting, solely The photochemistry of anthracene, a new class of photoresist for direct laser writing, is used to enable visible-light-gated control over the mechanical properties of 3D microstructures post-manufacturing. The mechanical and viscoelastic properties (hardness, complex elastic modulus, and loss factor) of the microstructures are measured over the course of irradiation via dynamic mechanical analysis on the nanoscale. Irradiation of the microstructures leads to a strong hardening and stiffening effect due to the generation of additional crosslinks through the photodimerization of the anthracene functionalities. A relationship between the loss of fluorescence-a consequence of the photodimerization-and changes in the mechanical properties isestablished. The fluorescence thus serves as a proxy read-out for the mechanical properties. These photoresponsive microstructures can potentially be used as "mechanical blank slates": their mechanical properties can be readily adjusted using visible light to serve the demands of different applications and read out using their fluorescence. 3D MicrostructuresDirect laser writing (DLW) is the only manufacturing tech nique capable of producing truly 3D structures on the micro scopic scale. [1] What differentiates DLW from conventional 3Dprinting techniques is the fact that it exploits twophoton absorption (TPA) to initiate polymerizations. While single photon absorption (SPA) is proportional to the optical inten sity, TPA is proportional to the square of the optical intensity. [2] Thus, polymerization will only take place in the focal volume of

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Viscoelastic response of neural cells governed by the deposition of amyloid-β peptides (Aβ)

Cited by 14 publications

References 44 publications

Frequency-dependent transition in power-law rheological behavior of living cells

Frequency-dependent transition in power-law rheological behavior of living cells

Tension- and Adhesion-Regulated Retraction of Injured Axons

Tailoring the Mechanical Properties of 3D Microstructures Using Visible Light Post‐Manufacturing

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