Single-cell fluid-based force spectroscopy reveals near lipid size nano-topography effects on neural cell adhesion

Habli, Zeina; Lahoud, Rima; Zantout, Ahmad; Abou-Kheir, Wassim; Khraiche, Massoud L.

doi:10.1039/d3lc00984j

Cited by 2 publications

References 56 publications

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Single-Cell Fluidic Force Spectroscopy Reveals Dynamic Mechanical Fingerprints of Malignancy in Breast Cancer

Habli,

Zantout,

Al-Haj

et al. 2024

ACS Appl. Mater. Interfaces

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The interplay between cancer cell physical characteristics and metastatic potential highlights the significance of cancer cell mechanobiology. Using fluidic-based single-cell force spectroscopy (SCFS), quartz crystal microbalance with dissipation (QCM-D), and a model of cells with a spectrum of metastatic potential, we track the progression of biomechanics across the metastatic states by measuring cell–substrate and cell-to-cell adhesion forces, cell spring constant, cell height, and cell viscoelasticity. Compared to highly metastatic cells, cells in the lower spectrum of metastatic ability are found to be systematically stiffer, less viscoelastic, and larger. These mechanical transformations in cells within a cluster correlate with cells’ metastatic potential but are significantly absent in single cells. Additionally, the response to chemotherapy is found to be highly dependent on cell viscoelastic properties in terms of both response time and magnitude. Shifts in cell softness and elasticity might serve as mechanoadaptive mechanisms during cancer cell metastasis, contributing to our understanding of metastasis and the effectiveness of potential therapeutic interventions.

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Single-Cell Fluidic Force Spectroscopy Reveals Dynamic Mechanical Fingerprints of Malignancy in Breast Cancer

Habli,

Zantout,

Al-Haj

et al. 2024

ACS Appl. Mater. Interfaces

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“Rapid SARS-CoV-2 Detection Using High-Sensitivity Thickness Shear Mode Sensors”

Saleh,

Alkalamouni,

Antar

et al. 2024

Preprint

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The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has emphasized the urgent need for accurate and readily available diagnostic tools. Conventional diagnostic methods, such as reverse transcription real-time polymerase chain reaction (RT-qPCR), are often labor-intensive and time-consuming, which highlights the necessity for rapid point-of-care diagnostic solutions. This study introduces an innovative, low-cost, and highly sensitive diagnostic platform for swift COVID-19 detection. Our platform utilizes the mass sensing properties of thickness shear mode (TSM) transducers to detect and quantify the SARS-CoV-2 nucleocapsid protein through polyethylene glycol (PEG)-based chemistry. To confirm surface functionalization and evaluate the effects of the virus lysis buffer, we employed surface characterization techniques including Digital Holographic Microscopy (DHM), Scanning Electron Microscopy (SEM) with Energy-Dispersive X-ray spectroscopy (EDX), and Raman spectroscopy. Sensitivity tests with heat-inactivated SARS-CoV-2 samples demonstrated a sensitivity of about 0.256 Hz/TCID50/mL and a limit of detection (LOD) of roughly 150 TCID50/mL. Specificity was verified through cross-reactivity testing. Our detailed characterization and sensitivity analysis underscore the platform's reliability, making it a promising candidate for efficient and accessible COVID-19 diagnosis at the point of care.

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Single-cell fluid-based force spectroscopy reveals near lipid size nano-topography effects on neural cell adhesion

Abstract: Nanoroughness has shown great potential in enhancing high-fidelity electrogenic cell interfaces, owing to its characteristic topography comparable to proteins and lipids, which influences a wide range of cellular mechanical responses....

Cited by 2 publications

References 56 publications

Single-Cell Fluidic Force Spectroscopy Reveals Dynamic Mechanical Fingerprints of Malignancy in Breast Cancer

Single-Cell Fluidic Force Spectroscopy Reveals Dynamic Mechanical Fingerprints of Malignancy in Breast Cancer

“Rapid SARS-CoV-2 Detection Using High-Sensitivity Thickness Shear Mode Sensors”

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