Curved Microfluidic Confinement Reveals Cell-Shape-Dependent Nuclear Mechanotransduction in Adaptive Migration

Cells navigate within diverse curved microenvironments derived from extracellular matrix (ECM) and neighboring cells in vivo. While current studies primarily focus on cell migration on curved surfaces, cellular adaptive responses to confinement-coupled geometric curvature remain largely unexplored. Herein, we design a confined curvature-based microfluidic chip (CCM-Chip) that mimics the physiologically relevant physical cues encountered during cell migration and investigate how cells dynamically answer to local geometric features. In the CCM-Chip, cells exhibit shape bending, nuclear deformation, and cytoskeletal remodeling that correlate with local geometric curvature. We then engineer a microgrooved uniaxial stretching microdevice to manipulate cell shape and find that curvature-induced cell shape results in nuclear envelope stretching, thus initiating downstream nuclear responses. Significantly, the stretched nuclear envelope effectively triggers the recruitment of cPLA2 to the nucleus, with nesprin and SUN1 serving as critical mediators in the process of nuclear mechanotransduction. The cPLA2 activation promotes stress fiber polarization at the cell front and enhances cellular contractility, facilitating curvature-induced cell migration. This work provides a versatile biomimetic microdevice for cell migration studies and highlights the key role of nuclear deformation-induced cPLA2 signaling in adaptive cell migration, advancing the development of therapeutic strategies against cancer metastasis.

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Publication Details

Journal
ACS Nano
Published
2025-12-18
DOI
https://doi.org/10.1021/acsnano.5c16455
Primary Topic
Cellular Mechanics and Interactions
Type
article
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article

Curved Microfluidic Confinement Reveals Cell-Shape-Dependent Nuclear Mechanotransduction in Adaptive Migration

Hai Gao, Xuezhu Chen, Baohong Liu, Sai‐Xi Yu et al.
ACS Nano
Cellular Mechanics and Interactions
article

Curved Microfluidic Confinement Reveals Cell-Shape-Dependent Nuclear Mechanotransduction in Adaptive Migration

Hai Gao, Xuezhu Chen, Baohong Liu, Sai‐Xi Yu, Yuxian Liao, Wei Liu, Yixin Liu, Yajun Wang, Yan‐Jun Liu, Yuchen Chen
article en

Abstract

Cells navigate within diverse curved microenvironments derived from extracellular matrix (ECM) and neighboring cells in vivo. While current studies primarily focus on cell migration on curved surfaces, cellular adaptive responses to confinement-coupled geometric curvature remain largely unexplored. Herein, we design a confined curvature-based microfluidic chip (CCM-Chip) that mimics the physiologically relevant physical cues encountered during cell migration and investigate how cells dynamically answer to local geometric features. In the CCM-Chip, cells exhibit shape bending, nuclear deformation, and cytoskeletal remodeling that correlate with local geometric curvature. We then engineer a microgrooved uniaxial stretching microdevice to manipulate cell shape and find that curvature-induced cell shape results in nuclear envelope stretching, thus initiating downstream nuclear responses. Significantly, the stretched nuclear envelope effectively triggers the recruitment of cPLA2 to the nucleus, with nesprin and SUN1 serving as critical mediators in the process of nuclear mechanotransduction. The cPLA2 activation promotes stress fiber polarization at the cell front and enhances cellular contractility, facilitating curvature-induced cell migration. This work provides a versatile biomimetic microdevice for cell migration studies and highlights the key role of nuclear deformation-induced cPLA2 signaling in adaptive cell migration, advancing the development of therapeutic strategies against cancer metastasis.

ACS NanoVol. 20(1)
Fudan University (CN), Shanghai Xuhui Central Hospital (CN)
Openalex Percentile: Top 57%
Cellular Mechanics and Interactions
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Curved Microfluidic Confinement Reveals Cell-Shape-Dependent Nuclear Mechanotransduction in Adaptive Migration — Hai Gao, Xuezhu Chen, et al. · ACS Nano (2025) | TGRS Research Map | TGRS