Systemic Nanomechanical Single-Cell Profiling Reveals Mechanophenotype Transitions Under Therapeutic Perturbation.

Authors

Minhee Ku, Jinwon Kwon, Nara Yoon, Hyung Kwon Byeon, Jaemoon Yang

Published in

Advanced science (Weinheim, Baden-Wurttemberg, Germany). Pages e76613. Jul 17, 2026. Epub Jul 17, 2026.

Abstract

Mechanical remodeling of cancer cells plays a critical role in regulating invasive behavior, yet its quantitative relationship with therapeutic response remains insufficiently defined. Here, we systematically characterize drug-induced mechanophenotype changes at the single-cell level using an integrated nanomechanical profiling approach that combines atomic force microscopy-based force mapping of fixed cells, high-resolution imaging, and cytomorphometric analysis under room-temperature conditions. Pharmacological perturbation induces pronounced cytoskeletal reorganization accompanied by increased cortical stiffness and surface roughness. Systemic multivariate analysis identifies 11 biophysical parameters associated with invasive capacity, with nucleus modulus, cytoskeletal network density, and cortical roughness emerging as dominant contributors. Dimensionality reduction (principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA)) reveals a distinct mechanophenotype transition characterized by elevated stiffness and suppressed protrusive activity. Especially, reduced invasiveness correlates with increased cortical roughness and reorganization of perinuclear cytoskeletal structures, indicating that these features define a quantitative mechanical signature of phenotypic reprogramming. This integrated mechanical signature enables discrimination between invasive and noninvasive states at the single-cell level. These results establish nanomechanical profiling as a quantitative framework for assessing drug-induced phenotypic transitions and provide a complementary approach to conventional molecular assays for evaluating therapeutic response in cancer cells.

PMID:
42467926
Bibliographic data and abstract were imported from PubMed on 18 Jul 2026.

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