Using optical profilometry to characterize cell membrane roughness influenced by amyloid-beta 42 aggregates and electric fields

Pan, Huei-Jyuan; Wang, Ruei-Lin; Xiao, Jian-Long; Chang, Yu-Jen; Cheng, Ji-Yen; Chen, Yunru; Lee, Chau‐Hwang

doi:10.1117/1.jbo.19.1.011009

Cited by 8 publications

(10 citation statements)

References 26 publications

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“…In our previous works 3 , 12 , we demonstrated that the membrane roughness of neuroblastoma cells is sensitive to various external stimulations, including amyloid peptides of different conformations, electric fields, an anti-cancer drug Taxol, gold nanoparticles, and a hypertonic solution. Nonetheless, the treatments used in those previous works were all solution-based.…”

Section: Discussionmentioning

confidence: 97%

“…The whole NIWOP system was placed in a temperature-controlled microscope cage that provided a constant-temperature environment (37 ± 0.5 °C) for the live-cell experiments. More details about the operation of the NIWOP system can be found in our previous publications 3 , 9 – 12 .…”

Section: Methodsmentioning

confidence: 99%

“…Pan et al . found that amyloid-beta 42 reduced the membrane roughness of neuroblastoma cells, and electric fields could remove this effect 3 . On the other hand, Yang et al .…”

Section: Introductionmentioning

confidence: 99%

“…A NIWOP frame could be acquired within five seconds, and therefore NIWOP is also capable of conducting time-lapse studies on membrane dynamics. Because the NIWOP measurement is non-contact and label-free, it is useful for quantifying membrane roughness of living cells under various treatments 3 , 12 .…”

Section: Introductionmentioning

confidence: 99%

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Substrate properties modulate cell membrane roughness by way of actin filaments

Chang

Lee²,

Lee

2017

Sci Rep

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Cell membrane roughness has been proposed as a sensitive feature to reflect cellular physiological conditions. In order to know whether membrane roughness is associated with the substrate properties, we employed the non-interferometric wide-field optical profilometry (NIWOP) technique to measure the membrane roughness of living mouse embryonic fibroblasts with different conditions of the culture substrate. By controlling the surface density of fibronectin (FN) coated on the substrate, we found that cells exhibited higher membrane roughness as the FN density increased in company with larger focal adhesion (FA) sizes. The examination of membrane roughness was also confirmed with atomic force microscopy. Using reagents altering actin or microtubule cytoskeletons, we provided evidence that the dynamics of actin filaments rather than that of microtubules plays a crucial role for the regulation of membrane roughness. By changing the substrate rigidity, we further demonstrated that the cells seeded on compliant gels exhibited significantly lower membrane roughness and smaller FAs than the cells on rigid substrate. Taken together, our data suggest that the magnitude of membrane roughness is modulated by way of actin dynamics in cells responding to substrate properties.

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Section: Discussionmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

“…Pan et al . found that amyloid-beta 42 reduced the membrane roughness of neuroblastoma cells, and electric fields could remove this effect 3 . On the other hand, Yang et al .…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Substrate properties modulate cell membrane roughness by way of actin filaments

Chang

Lee²,

Lee

2017

Sci Rep

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“…Lulevich et al revealed that amyloid-β (Aβ), the key pathogenic protein of Alzheimer’s disease, increases the stiffness of mouse neuroblastoma cell N2a by using atomic force microscopy [ 2 ]. Pan et al found that Aβ could reduce the membrane roughness of neuroblastoma, and electrical stimulations reversed this effect [ 3 ]. But the detailed mechanisms were not clear.…”

Section: Introductionmentioning

confidence: 99%

Membrane roughness as a sensitive parameter reflecting the status of neuronal cells in response to chemical and nanoparticle treatments

et al. 2016

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BackgroundCell membranes exhibit abundant types of responses to external stimulations. Intuitively, membrane topography should be sensitive to changes of physical or chemical factors in the microenvironment. We employed the non-interferometric wide-field optical profilometry (NIWOP) technique to quantify the membrane roughness of living neuroblastoma cells under various treatments that could change the mechanical properties of the cells.ResultsThe membrane roughness was reduced as the neuroblastoma cell was treated with paclitaxel, which increases cellular stiffness by translocating microtubules toward the cell membranes. The treatment of positively charged gold nanoparticles (AuNPs) showed a similar effect. In contrast, the negatively charged AuNPs did not cause significant changes of the membrane roughness. We also checked the membrane roughness of fixed cells by using scanning electron microscopy (SEM) and confirmed that the membrane roughness could be regarded as a parameter reflecting cellular mechanical properties. Finally, we monitored the temporal variations of the membrane roughness under the treatment with a hypertonic solution (75 mM sucrose in the culture medium). The membrane roughness was increased within 1 h but returned to the original level after 2 h.ConclusionsThe results in the present study suggest that the optical measurement on membrane roughness can be regarded as a label-free method to monitor the changes in cell mechanical properties or binding properties of nanoparticles on cell surface. Because the cells were left untouched during the measurement, further tests about cell viability or drug efficacy can be done on the same specimen. Membrane roughness could thus provide a quick screening for new chemical or physical treatments on neuronal cells.

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Cellular Membrane Fluidity in Amyloid Precursor Protein Processing

et al. 2014

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The senile plaque is a pathologic hallmark of Alzheimer's disease (AD). Amyloid-β peptide (Aβ), the main constituent of senile plaques, is neurotoxic especially in its oligomeric form. Aβ is derived from the sequential cleavage of amyloid precursor protein (APP) by β- and γ-secretases in the amyloidogenic pathway. Alternatively, APP can be cleaved by α-secretases within the Aβ domain to produce neurotrophic and neuroprotective α-secretase-cleaved soluble APP (sAPPα) in the nonamyloidogenic pathway. Since APP and α-, β-, and γ-secretases are membrane proteins, APP processing should be highly dependent on the membrane composition and the biophysical properties of cellular membrane. In this review, we discuss the role of the biophysical properties of cellular membrane in APP processing, especially the effects of phospholipases A(2) (PLA(2)s), fatty acids, cholesterol, and Aβ on membrane fluidity in relation to their effects on APP processing.

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Using optical profilometry to characterize cell membrane roughness influenced by amyloid-beta 42 aggregates and electric fields

Cited by 8 publications

References 26 publications

Substrate properties modulate cell membrane roughness by way of actin filaments

Substrate properties modulate cell membrane roughness by way of actin filaments

Membrane roughness as a sensitive parameter reflecting the status of neuronal cells in response to chemical and nanoparticle treatments

Cellular Membrane Fluidity in Amyloid Precursor Protein Processing

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