Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The implementation of novel analytic methodologies in cancer and biomedical research has enabled the quantification of parameters that were previously disregarded only a few decades ago. A notable example of this paradigm shift is the widespread integration of atomic force microscopy (AFM) into biomedical laboratories, significantly advancing our understanding of cancer cell biology and treatment response. AFM allows for the meticulous monitoring of different parameters at the molecular and nanoscale levels, encompassing critical aspects such as cell morphology, roughness, adhesion, stiffness, and elasticity. These parameters can be systematically investigated in correlation with specific cell treatment, providing important insights into morpho-mechanical properties during normal and treated conditions. The resolution of this system holds the potential for its systematic adoption in clinics; its application could produce useful diagnostic information regarding the aggressiveness of cancer and the efficacy of treatment. This review endeavors to analyze the current literature, underscoring the pivotal role of AFM in biomedical research, especially in cancer cases, while also contemplating its prospective application in a clinical context.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11899184PMC
http://dx.doi.org/10.3390/cancers17050858DOI Listing

Publication Analysis

Top Keywords

atomic force
8
force microscopy
8
afm biomedical
8
cancer
5
microscopy versatile
4
versatile tool
4
tool cancer
4
cancer implementation
4
implementation novel
4
novel analytic
4

Similar Publications

Osteocalcin promotes mineralization in bone microenvironment via regulating hydroxyapatite formation and integration.

Int J Biol Macromol

September 2025

Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Research Center for Cancer Immunology, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. Electronic

Within the bone microenvironment, the intricate interplay and regulation among matrix components form a complex network. Disentangling this network is crucial for uncovering potential therapeutic targets in bone pathology. Osteocalcin (OCN), the most abundant non-collagenous bone protein, is an essential node within this network.

View Article and Find Full Text PDF

Hamiltonian Grid-Based QM/MM Method with Mean-Field Embedding for Simulating Arbitrary Slab Geometries.

J Chem Theory Comput

September 2025

Materials DX Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan.

The quantum mechanics/molecular mechanics (QM/MM) method is a powerful approach for investigating solid surfaces in contact with various types of media, since it allows for flexible modeling of complex interfaces while maintaining an all-atom representation. The mean-field QM/MM method is an average reaction field model within the QM/MM framework. The method addresses the challenges associated with the statistical sampling of interfacial atomic configurations of a medium and enables efficient calculation of free energies.

View Article and Find Full Text PDF

The surfaces of 1D layered lepidocrocite-structured titanates (1DLs) are negatively charged due to an oxygen-to-titanium atomic ratio >2. This, and their layered structure, allow for facile ion exchange and high colloidal stability, demonstrated by ζ-potentials of ≈ -85 mV at their unadjusted pH of ≈10.4.

View Article and Find Full Text PDF

Archimedean spirals are architectural motifs that are found in nature. The facial asymmetry of amphiphilic molecules or macromolecules has been a key parameter in the preparation of these well-organized two-dimensional nanostructures in the laboratory. This facial asymmetry is also present in the helical grooves of chiral helical substituted poly(phenylacetylene)s (PPAs) and poly(diphenylacetylene)s (PDPAs), making them excellent candidates for self-assembly into 2D Archimedean nanospirals or nanotoroids.

View Article and Find Full Text PDF

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network.

J Chem Theory Comput

September 2025

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China.

Coarse-grained (CG) lipid models enable efficient simulations of large-scale membrane events. However, achieving both speed and atomic-level accuracy remains challenging. Graph neural networks (GNNs) trained on all-atom (AA) simulations can serve as CG force fields, which have demonstrated success in CG simulations of proteins.

View Article and Find Full Text PDF