Hermann Schillers

Cell's elasticity is an integrative parameter summarizing the biophysical outcome of many known and unknown cellular processes. This includes intracellular signaling, cytoskeletal activity, changes of cell volume and morphology, and many others. Not only intracellular processes defines a cell's elasticity but also environmental factors like their biochemical and biophysical surroundings. Therefore, cell mechanics represents a comprehensive variable of life. A cell in its standard conditions shows variabilities of biochemical and biophysical processes resulting in a certain range of cell's elasticity. Changes of the standard conditions, endogenously or exogenously induced, are frequently paralleled by changes of cell elasticity. Therefore, cell elasticity could serve as a parameter to characterize different states of a cell. Atomic force microscopy (AFM) combines high spatial resolution with very high force sensitivity and allows investigating mechanical properties of living cells under physiological conditions. However, elastic moduli reported in the literature showed a large variability, sometimes by an order of magnitude (or even more) for the same cell type assessed in different labs. Clearly, a prerequisite for the use of cell elasticity to describe the actual cell status is a standardized procedure that allows obtaining comparable values of a cell independent from the instrument, the lab, and operator. Biologically derived variations of elasticity could not be reduced due to the nature of living cells, but technically and methodologically derived variations could be minimized by a standardized procedure.This chapter provides a Standardized Nanomechanical AFM Procedure (SNAP) that strongly reduces the variability of results obtained on soft samples and living cells by a reliable method to calibrate AFM cantilevers.

Living cells continually remodel their mechanical state in response to force, a dynamic behavior that conventional AFM nanoindentation fails to capture and its underlying assumptions are not fully applicable to living cells. Here, we show that TiMeR (Time-Resolved Mechanical Response) provides a model-independent, multiparametric AFM readout of mechanical adaptation by quantifying bidirectional cumulative displacement, work, power, and response balance under constant load. In endothelial cells, TiMeR identifies a stable operating load and resolves distinct, reproducible results following perturbation of mechanosensitive signaling, the cytoskeleton, and inflammatory pathways. TiMeR was also proved applicable to other cell types and can be implemented on conventional AFM platforms without hardware modifications. TiMeR captures biologically informative, time-dependent dimensions of cell mechanics, inaccessible by conventional nanoindentation. Together, these capabilities move cell mechanical characterization beyond static elasticity measurements and establish TiMeR as a powerful tool for uncovering how living cells adapt their mechanical state.

Atomic force microscopy (AFM) has become indispensable for studying biological and medical samples. More than two decades of experiments have revealed that cancer cells are softer than healthy cells (for measured cells cultured on stiff substrates). The softness or, more precisely, the larger deformability of cancer cells, primarily independent of cancer types, could be used as a sensitive marker of pathological changes. The wide application of biomechanics in clinics would require designing instruments with specific calibration, data collection, and analysis procedures. For these reasons, such development is, at present, still very limited, hampering the clinical exploitation of mechanical measurements. Here, we propose a standardized operational protocol (SOP), developed within the EU ITN network Phys2BioMed, which allows the detection of the biomechanical properties of living cancer cells regardless of the nanoindentation instruments used (AFMs and other indenters) and the laboratory involved in the research. We standardized the cell cultures, AFM calibration, measurements, and data analysis. This effort resulted in a step-by-step SOP for cell cultures, instrument calibration, measurements, and data analysis, leading to the concordance of the results (Young’s modulus) measured among the six EU laboratories involved. Our results highlight the importance of the SOP in obtaining a reproducible mechanical characterization of cancer cells and paving the way toward exploiting biomechanics for diagnostic purposes in clinics.

In circulation, cancer cells induce platelet activation, leading to the formation of a cancer cell‐encircling platelet cloak which facilitates each step of the metastatic cascade. Since cancer patients treated with the anticoagulant heparin showed reduced metastasis rates and improved survival, it is supposed that heparin suppresses the cloak's formation by inhibiting the interaction between platelet's adhesion molecule P‐selectin with its ligands on cancer cells. To quantify this heparin effect, we developed a single‐cell force spectroscopy approach and quantified the adhesion (maximum adhesion force [F_A] and detachment work [W_D]) between platelets and human non‐small cell lung cancer cells (A549). A configuration was used in which A549 cells were glued to tipless cantilevers and force‐distance (F‐D) curves were recorded on a layer of activated platelets. The concentration‐response relationship was determined for heparin at concentrations between 1 and 100 U/mL. Sigmoid dose‐response fit revealed half‐maximal inhibitory concentration (IC₅₀) values of 8.01 U/mL (F_A) and 6.46 U/mL (W_D) and a maximum decrease of the adhesion by 37.5% (F_A) and 38.42% (W_D). The effect of heparin on P‐selectin was tested using anti‐P‐selectin antibodies alone and in combination with heparin. Adding heparin after antibody treatment resulted in an additional reduction of 9.52% (F_A) and 7.12% (W_D). Together, we quantified heparin's antimetastatic effect and proved that it predominantly is related to the blockage of P‐selectin. Our approach represents a valuable method to investigate the adhesion of platelets to cancer cells and the efficiency of substances to block this interaction.

The neuropilin-1 (NRP1)-MET signaling axis regulates the motility of individual endothelial cells (ECs). It is unknown how this signaling pathway affects the endothelial barrier in coherent ECs forming a tight monolayer. We hypothesized that it is involved both in modulation of the endothelial barrier and in EC activation. To investigate the role of NRP1–MET signaling in inflammatory processes (e.g., systemic inflammatory response syndrome [SIRS] or snakebite-induced SIRS-like conditions), we employed the C-type lectin-related protein rhodocetin-αβ (RCαβ) as a specific trigger of this signal axis in ECs in vitro. In coherent HUVECs, RCαβ reinforced the actin cytoskeleton and increased cell stiffness, thus favoring vascular endothelial cadherin–mediated transmission of intercellular forces. Increased cell stiffness was associated with enhanced activation of RhoA and nuclear translocation of NF-κB. Simultaneously, RCαβ-triggered signaling via the NRP1–MET axis increased EC monolayer permeability, induced transcription of proinflammatory genes such as ICAM-1 and, consequently, leukocyte tethering. The RCαβ-induced transcriptome differed from that induced by hepatocyte growth factor, although in both cases the same tyrosine kinase, MET, was involved. This was due to RCαβ-mediated recruitment of the MET coreceptor NRP1 and additional Rho-mediated activation of the actomyosin system. RCαβ induced similar transcriptional and cellular changes if external shear forces were applied. These data highlight the modulatory role of NRP1 as MET coreceptor, and they explain how some snake venoms induce SIRS-like conditions. Additionally, this study demonstrates that inflammatory activation of coherent ECs is triggered by converging signals that are induced by NRP1–MET signaling and influenced by intercellular forces.

Cell’s elasticity is an integrative parameter summarizing the biophysical outcome of many known and unknown cellular processes. This includes intracellular signaling, cytoskeletal activity, changes of cell volume and morphology, and many others. Not only intracellular processes defines a cell’s elasticity but also environmental factors like their biochemical and biophysical surrounding. Therefore, cell mechanics represents a comprehensive variable of life. A cell in its standard conditions shows variabilities of biochemical and biophysical processes resulting in a certain range of cell’s elasticity. Changes of the standard conditions, endogenously or exogenously induced, are frequently paralleled by changes of cell elasticity. Therefore cell elasticity could serve as parameter to characterize different states of a cell. Atomic force microscopy (AFM) combines high spatial resolution with very high force sensitivity and allows investigating mechanical properties of living cells under physiological conditions. However, elastic moduli reported in the literature showed a large variability, sometimes by an order of magnitude (or even more) for the same cell type assessed in different labs. Clearly, a prerequisite for the use of cell elasticity to describe the actual cell status is a standardized procedure that allows obtaining comparable values of a cell independent from the instrument, from the lab and operator. Biologically derived variations of elasticity could not be reduced due to the nature of living cells but technically and methodologically derived variations could be minimized by a standardized procedure. This chapter provides a Standardized Nanomechanical AFM Procedure (SNAP) that reduces strongly the variability of results obtained on soft samples and living cells by a reliable method to calibrate AFM cantilevers.

The human opportunistic pathogen Pseudomonas aeruginosa (PA) is responsible for chronic infections of the respiratory epithelium in cystic fibrosis patients. PA takes advantage of an arsenal of virulence factors to infect and colonize human lungs. Among them, the lectin LecA favours epithelium invasion by interacting with host cell globotriaosylceramide (Gb3). A new therapeutic approach is based on the development of synthetic multivalent molecules (glycoclusters) targeting LecA with a higher affinity than its natural ligand. Atomic force microscopy-single cell force spectroscopy has been used to study the effect of glycoclusters on the bacteria–cell interaction. Glycoclusters have been shown to affect the detachment work and detachment force of the bacteria–cell interaction. The specificity and the efficiency of the glycocluster in targeting the lectin and destabilizing the PA–epithelial cell adhesion are demonstrated and discussed.