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1.
Philos Trans R Soc Lond B Biol Sci ; 377(1864): 20210326, 2022 11 21.
Article in English | MEDLINE | ID: mdl-36189808

ABSTRACT

Cardiomyocytes sense and shape their mechanical environment, contributing to its dynamics by their passive and active mechanical properties. While axial forces generated by contracting cardiomyocytes have been amply investigated, the corresponding radial mechanics remain poorly characterized. Our aim is to simultaneously monitor passive and active forces, both axially and radially, in cardiomyocytes freshly isolated from adult mouse ventricles. To do so, we combine a carbon fibre (CF) set-up with a custom-made atomic force microscope (AFM). CF allows us to apply stretch and to record passive and active forces in the axial direction. The AFM, modified for frontal access to fit in CF, is used to characterize radial cell mechanics. We show that stretch increases the radial elastic modulus of cardiomyocytes. We further find that during contraction, cardiomyocytes generate radial forces that are reduced, but not abolished, when cells are forced to contract near isometrically. Radial forces may contribute to ventricular wall thickening during contraction, together with the dynamic re-orientation of cells and sheetlets in the myocardium. This new approach for characterizing cell mechanics allows one to obtain a more detailed picture of the balance of axial and radial mechanics in cardiomyocytes at rest, during stretch, and during contraction. This article is part of the theme issue 'The cardiomyocyte: new revelations on the interplay between architecture and function in growth, health, and disease'.


Subject(s)
Myocytes, Cardiac , Animals , Carbon Fiber , Mice , Microscopy, Atomic Force/methods
2.
IEEE Trans Neural Syst Rehabil Eng ; 27(2): 108-117, 2019 02.
Article in English | MEDLINE | ID: mdl-30624220

ABSTRACT

Miniaturization of implantable devices is an important challenge for future brain-computer interface applications, and in particular for achieving precise neuron stimulation. For stimulation that utilizes light, i.e., optogenetics, the light propagation behavior and interaction at the nanoscale with elements within the neuron is an important factor that needs to be considered when designing the device. This paper analyzes the effect of light behavior for a single neuron stimulation and focuses on the impact from different cell shapes. Based on the Mie scattering theory, the paper analyzes how the shape of the soma and the nucleus contributes to the focusing effect resulting in an intensity increase, which ensures that neurons can assist in transferring light through the tissue toward the target cells. At the same time, this intensity increase can in turn also stimulate neighboring cells leading to interference within the neural circuits. This paper also analyzes the ideal placements of the device with respect to the angle and position within the cortex that can enable axonal biophoton communications, which can contain light within the cell to avoid the interference.


Subject(s)
Brain-Computer Interfaces , Nanotechnology , Neurons/physiology , Neurons/radiation effects , Optogenetics/methods , Photic Stimulation , Algorithms , Axons/radiation effects , Cell Shape/radiation effects , Cerebral Cortex/cytology , Cerebral Cortex/radiation effects , Humans , Light , Neural Stem Cells/radiation effects , Neural Stem Cells/ultrastructure , Neurons/ultrastructure , Scattering, Radiation
3.
J Biomech ; 82: 337-345, 2019 01 03.
Article in English | MEDLINE | ID: mdl-30503562

ABSTRACT

Experimental measurements of cellular mechanical properties have shown large variability in whole-cell mechanical properties between cells from a single population. This heterogeneity has been observed in many cell populations and with several measurement techniques but the sources are not yet fully understood. Cell mechanical properties are directly related to the composition and organization of the cytoskeleton, which is physically coupled to neighboring cells through adherens junctions and to underlying matrix through focal adhesion complexes. This high level of heterogeneity may be attributed to varying cellular interactions throughout the sample. We tested the effect of cell-cell and cell-matrix interactions on the mechanical properties of vascular smooth muscle cells (VSMCs) in culture by using antibodies to block N-cadherin and integrin ß1 interactions. VSMCs were cultured on substrates of varying stiffness with and without tension. Under each of these conditions, cellular mechanical properties were characterized by performing atomic force microscopy (AFM) and cellular structure was analyzed through immunofluorescence imaging. As expected, VSMC mechanical properties were greatly affected by the underlying culture substrate and applied tension. Interestingly, the cell-to-cell variation in mechanical properties within each sample decreased significantly in the antibody conditions. Thus, the cells grown with blocking antibodies were more homogeneous in their mechanical properties on both glass and soft substrates. This suggests that diversified adhesion binding between cells and the ECM is responsible for a significant amount of mechanical heterogeneity that is observed in 2D cell culture studies.


Subject(s)
Cadherins/metabolism , Cell Communication , Integrin beta1/metabolism , Mechanical Phenomena , Muscle, Smooth, Vascular/cytology , Biomechanical Phenomena , Cell Adhesion , Cells, Cultured , Cytoskeleton/metabolism , Focal Adhesions/metabolism , Humans , Muscle, Smooth, Vascular/metabolism
4.
Nat Commun ; 9(1): 1688, 2018 04 27.
Article in English | MEDLINE | ID: mdl-29703977

ABSTRACT

Cell protrusion is morphodynamically heterogeneous at the subcellular level. However, the mechanism of cell protrusion has been understood based on the ensemble average of actin regulator dynamics. Here, we establish a computational framework called HACKS (deconvolution of heterogeneous activity in coordination of cytoskeleton at the subcellular level) to deconvolve the subcellular heterogeneity of lamellipodial protrusion from live cell imaging. HACKS identifies distinct subcellular protrusion phenotypes based on machine-learning algorithms and reveals their underlying actin regulator dynamics at the leading edge. Using our method, we discover "accelerating protrusion", which is driven by the temporally ordered coordination of Arp2/3 and VASP activities. We validate our finding by pharmacological perturbations and further identify the fine regulation of Arp2/3 and VASP recruitment associated with accelerating protrusion. Our study suggests HACKS can identify specific subcellular protrusion phenotypes susceptible to pharmacological perturbation and reveal how actin regulator dynamics are changed by the perturbation.


Subject(s)
Actins/metabolism , Cell Movement/physiology , Machine Learning , Models, Biological , Pseudopodia/physiology , Actin Cytoskeleton/drug effects , Actin Cytoskeleton/physiology , Actin-Related Protein 2-3 Complex/antagonists & inhibitors , Actin-Related Protein 2-3 Complex/metabolism , Animals , Cell Adhesion Molecules/metabolism , Cell Line , Cell Line, Tumor , Cell Movement/drug effects , Cluster Analysis , Humans , Indoles/pharmacology , Intravital Microscopy , Microfilament Proteins/metabolism , Phosphoproteins/metabolism , Potoroidae , Software
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