Abstract

Recent developments such as multi-harmonic Atomic Force Microscopy (AFM) techniques have enabled fast, quantitative mapping of nanomechanical properties of living cells. Due to their high spatiotemporal resolution, these methods provide new insights into changes of mechanical properties of subcellular structures due to disease or drug response. Here, we propose three new improvements to significantly improve the resolution, identification, and mechanical property quantification of sub-cellular and sub-nuclear structures using multi-harmonic AFM on living cells. First, microcantilever tips are streamlined using long-carbon tips to minimize long-range hydrodynamic interactions with the cell surface, to enhance the spatial resolution of nanomechanical maps and minimize hydrodynamic artifacts. Second, simultaneous Spinning Disk Confocal Microscopy (SDC) with live-cell fluorescent markers enables the unambiguous correlation between observed heterogeneities in nanomechanical maps with subcellular structures. Third, computational approaches are then used to estimate the mechanical properties of sub-nuclear structures. Results are demonstrated on living NIH 3T3 fibroblasts and breast cancer MDA-MB-231 cells, where properties of nucleoli, a deep intracellular structure, were assessed. The integrated approach opens the door to study the mechanobiology of sub-cellular structures during disease or drug response.

Details

Title
3D nanomechanical mapping of subcellular and sub-nuclear structures of living cells by multi-harmonic AFM with long-tip microcantilevers
Author
Efremov, Yuri M 1 ; Suter, Daniel M 2 ; Timashev, Peter S 3 ; Raman Arvind 4 

 Purdue University, School of Mechanical Engineering, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, Birck Nanotechnology Center, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Sechenov University, Institute for Regenerative Medicine, Moscow, Russia (GRID:grid.448878.f) (ISNI:0000 0001 2288 8774); World-Class Research Center “Digital Biodesign and Personalized Healthcare, Moscow, Russia (GRID:grid.448878.f) 
 Purdue University, Birck Nanotechnology Center, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, Department of Biological Sciences, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, Bindley Bioscience Center, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue Institute for Integrative Neuroscience, West Lafayette, USA (GRID:grid.169077.e) 
 Sechenov University, Institute for Regenerative Medicine, Moscow, Russia (GRID:grid.448878.f) (ISNI:0000 0001 2288 8774); World-Class Research Center “Digital Biodesign and Personalized Healthcare, Moscow, Russia (GRID:grid.448878.f); Lomonosov Moscow State University, Chemistry Department, Moscow, Russia (GRID:grid.14476.30) (ISNI:0000 0001 2342 9668) 
 Purdue University, School of Mechanical Engineering, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, Birck Nanotechnology Center, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2618748974
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.