tipless cantilever arrays

A beginner’s guide to the Characterization of Hydrogel Microarchitecture for Cellular Applications

Hydrogel materials show a number of properties which make them interesting candidates to be utilized to mimic the extracellular matrix (ECM). Therefore, these materials are attractive for use in biological applications such as tissue engineering, cell culture 3D bioprinting and more.

Are you planning to use hydrogels for the first time in your research?

Then have a look at the insightful article “A beginner’s guide to the Characterization of Hydrogel Microarchitecture for Cellular Applications” by Francisco Drusso Martinez-Garcia, Tony Fischer, Alexander Hayn, Claudia Tanja Mierke, Janette Kay Burgess and Martin Conrad Harmsen.

In their article the authors describe and evaluate the different technologies that are most commonly used to assess hydrogel microarchitecture.

Francisco Drusso Martinez-Garcia et al. explain the working principle of the various methods and also discuss the merits and limitations of each of them in view of their usefulness for the characterization of hydrogels.

They introduce and explore the pros and cons of the following methods: Scanning Electron Microscopy (SEM), Cryogenic Scanning Electron Microscopy (Cryo-SEM), Environmental Scanning Electron Microscopy (ESEM), Micro-Computed Tomography (µ-CT), Confocal Laser Scanning Microscopy (CLSM), Second Harmonic Generation and Atomic Force Microscopy (AFM).*

Atomic force microscopy (AFM) can be used to investigate the hydrogel surface topology as well as a hydrogel’s mechanical properties. The latter can be achieved through mathematical modelling of force-distance curves.

When using the AFM to characterize the elasticity of a hydrogel sample it is essential to take the stiffness of the investigated material into account when choosing what kind of AFM probe to use for these experiments.

If an AFM cantilever used for probing a soft sample is too stiff (if the force constant/spring constant is too high) this might result in a poor signal-to-noise ratio.

If a soft AFM probe (an AFM probe with an AFM cantilever with a low force constant) is chosen to investigate a soft material this should lead to a better signal-to-noise ratio. On the other hand, if an AFM cantilever is too soft (if the force constant is too low) then it might not be stiff enough to indent the investigated material.

Another critical factor is the shape and the size of the AFM tip.

Spheroidal AFM probes might stick to the material, resulting in artefacts, disrupted force–distance curves, or even damaged AFM cantilevers. If the AFM tip is much smaller than the pore size of the hydrogel, it might get stuck in the fibrous network microarchitecture.

On the other hand, if the spherical AFM tip, e.g. as in colloidal AFM probes (a sphere glued to end of a tipless AFM cantilever), is too large, the weight of the sphere can have a negative influence on the spring characteristics of the AFM cantilever.

All these factors and more as described in the cited article have to be carefully weighed before deciding on the settings of the atomic force microscope and choosing an AFM probe for the investigation of a specific hydrogel.

NanoWorld tipless ArrowTL2 cantilever arrays with polystyrene beads glued to them were used by the authors of this beginner’s guide to achieve the AFM data presented in the article.*

Figure 6. from Francisco Drusso Martinez-Garcia et al. 2022: Atomic force microscopy. (A) Equipment. (B) Schematic of an AFM setup with a four-quadrant photodiode (1), in which the four-quadrant photodiode (1) receives a laser (2) reflected from a cantilever (3), in this case positioned over a hydrogel (4) mounted in a piezo stage (5). For example, the height differences in a sample (4) are measured by adjusting the stage using piezo elements (5) to counter the cantilever bending on a nanometer scale. (C) The AFM can then generate a surface heightmap of the hydrogels such as a GelMA hydrogel (shown). AFM can also be used to determine the mechanical properties of hydrogels. (D) Schematic of the AFM technique to determine the elastic moduli of hydrogels with a tipless cantilever (1), spheroidal probe (2, red), hydrogel (3), and stiff substrate (4). As the cantilever represents a spring with a known spring constant, the cantilever bending due to elastic counterforces exerted by the soft material is correlated with the piezo stage height (4). (E) The so-called force–distance curves are recorded. Data from a collagen type-I hydrogel (3.0 g/L) are shown. (F) Young’s moduli of a 1.5 g/L and 3.0 g/L collagen type-I hydrogel. Outliers indicated by ◆. AFM equipment detailed in Appendix A of the cited article. NanoWorld tipless ArrowTL2 cantilever arrays with polystyrene beads glued to them were used by the authors of this beginner’s guide to achieve the AFM data presented in the article. — Figure 6. from Francisco Drusso Martinez-Garcia et al. 2022:
Atomic force microscopy. (A) Equipment. (B) Schematic of an AFM setup with a four-quadrant photodiode (1), in which the four-quadrant photodiode (1) receives a laser (2) reflected from a cantilever (3), in this case positioned over a hydrogel (4) mounted in a piezo stage (5). For example, the height differences in a sample (4) are measured by adjusting the stage using piezo elements (5) to counter the cantilever bending on a nanometer scale. (C) The AFM can then generate a surface heightmap of the hydrogels such as a GelMA hydrogel (shown). AFM can also be used to determine the mechanical properties of hydrogels. (D) Schematic of the AFM technique to determine the elastic moduli of hydrogels with a tipless cantilever (1), spheroidal probe (2, red), hydrogel (3), and stiff substrate (4). As the cantilever represents a spring with a known spring constant, the cantilever bending due to elastic counterforces exerted by the soft material is correlated with the piezo stage height (4). (E) The so-called force–distance curves are recorded. Data from a collagen type-I hydrogel (3.0 g/L) are shown. (F) Young’s moduli of a 1.5 g/L and 3.0 g/L collagen type-I hydrogel. Outliers indicated by ◆. AFM equipment detailed in Appendix A of the cited article.

*Francisco Drusso Martinez-Garcia, Tony Fischer, Alexander Hayn, Claudia Tanja Mierke, Janette Kay Burgess and Martin Conrad Harmsen
A Beginner’s Guide to the Characterization of Hydrogel Microarchitecture for Cellular Applications
Gels 2022, 8(9), 535
DOI: https://doi.org/10.3390/gels8090535

The article “A Beginner’s Guide to the Characterization of Hydrogel Microarchitecture for Cellular Applications” by Francisco Drusso Martinez-Garcia, Tony Fischer, Alexander Hayn, Claudia Tanja Mierke, Janette Kay Burgess and Martin Conrad Harmsen is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third-party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.

MACC1-Induced Collective Migration Is Promoted by Proliferation Rather Than Single Cell Biomechanics

High metastasis-associated in colon cancer 1 (MACC1) expression is associated with metastasis, tumor cell migration, and increased proliferation in colorectal cancer. Tumors with high MACC1 expression show a worse prognosis and higher invasion into neighboring structures. However, the mediation of the pro-migratory effects is still a matter of investigation.*

In their study “MACC1-Induced Collective Migration Is Promoted by Proliferation Rather Than Single Cell Biomechanics” Tim Hohmann, Urszula Hohmann, Mathias Dahlmann, Dennis Kobelt, Ulrike Stein and Faramarz Dehghani aim to elucidate the impact of single cell biomechanics and proliferation on MACC1-dependent migration.*

The authors found that MACC1 expression associated with increased collective migration, caused by increased proliferation, and no changes in single cell biomechanics. Thus, targeting proliferation in high-MACC1-expressing tumors may offer additional effects on cell migration.*

The mechanical properties of single cells were assessed in the form of the Young’s modulus and cortex tension; both were measured using atomic force microscopy. Briefly, cells were seeded on a petri dish and measured 15 min after seeding to avoid slippage of individual cells. Measurements were conducted using a tipless NanoWorld Arrow-TL2 AFM cantilever array to apply a force of 1 nN that led to deformations of 1–2 µm. The Young’s modulus was calculated using the Hertz model.*

Figure 1 from “MACC1-Induced Collective Migration Is Promoted by Proliferation Rather Than Single Cell Biomechanics” by Tim Hohmann et al. Single cell properties of high- and low-MACC1-expressing colon carcinoma cells. (A,B) depict the results of the biomechanical measurements for the Young´s modulus and the cortex tension. (C,D) show the results of live cell imaging of single cells for the mean speed and the contact area with the substrate. Sample sizes: (A) nSW480/EV = 35; nSW480/MACC1 = 33; nSW620/shMACC1 = 40; nSW620/shCTL = 40. (B) nSW480/EV = 33; nSW480/MACC1 = 31; nSW620/shMACC1 = 25; nSW620/shCTL = 26. (C,D) nSW480/EV = 66; nSW480/MACC1 = 98; nSW620/shMACC1 = 102; nSW620/shCTL = 111. Asterisk depicts statistically significant results with p < 0.05. Box plots show the median (red line), 25 and 75 percentile (box), non-outlier range (whiskers), and outliers (red dots). The mechanical properties of single cells were assessed in the form of the Young’s modulus and cortex tension; both were measured using atomic force microscopy. Briefly, cells were seeded on a petri dish and measured 15 min after seeding to avoid slippage of individual cells. Measurements were conducted using a NanoWorld Arrow-TL2 AFM cantilever to apply a force of 1 nN that led to deformations of 1–2 µm. The Young’s modulus was calculated using the Hertz model. — Figure 1 from “MACC1-Induced Collective Migration Is Promoted by Proliferation Rather Than Single Cell Biomechanics” by Tim Hohmann et al.
Single cell properties of high- and low-MACC1-expressing colon carcinoma cells. (A,B) depict the results of the biomechanical measurements for the Young´s modulus and the cortex tension. (C,D) show the results of live cell imaging of single cells for the mean speed and the contact area with the substrate. Sample sizes: (A) nSW480/EV = 35; nSW480/MACC1 = 33; nSW620/shMACC1 = 40; nSW620/shCTL = 40. (B) nSW480/EV = 33; nSW480/MACC1 = 31; nSW620/shMACC1 = 25; nSW620/shCTL = 26. (C,D) nSW480/EV = 66; nSW480/MACC1 = 98; nSW620/shMACC1 = 102; nSW620/shCTL = 111. Asterisk depicts statistically significant results with p < 0.05. Box plots show the median (red line), 25 and 75 percentile (box), non-outlier range (whiskers), and outliers (red dots).

*Tim Hohmann, Urszula Hohmann, Mathias Dahlmann, Dennis Kobelt, Ulrike Stein and Faramarz Dehghani
MACC1-Induced Collective Migration Is Promoted by Proliferation Rather Than Single Cell Biomechanics
Cancers 2022, 14(12), 2857
DOI: https://doi.org/10.3390/cancers14122857

Open Access

The article “MACC1-Induced Collective Migration Is Promoted by Proliferation Rather Than Single Cell Biomechanics” by Tim Hohmann, Urszula Hohmann, Mathias Dahlmann, Dennis Kobelt, Ulrike Stein and Faramarz Dehghani is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.

Simultaneous Quantification of the Interplay Between Molecular Turnover and Cell Mechanics by AFM–FRAP

Quantifying the adaptive mechanical behavior of living cells is essential for the understanding of their inner working and function.*

In their article “Simultaneous Quantification of the Interplay Between Molecular Turnover and Cell Mechanics by AFM–FRAP” Mark Skamrahl, Huw Colin‐York, Liliana Barbieri and Marco Fritzsche use a combination of atomic force microscopy and fluorescence recovery after photobleaching is introduced which offers simultaneous quantification and direct correlation of molecule kinetics and mechanics in living cells.*

Simultaneous quantification of the relationship between molecule kinetics and cell mechanics may thus open up unprecedented insights into adaptive mechanobiological mechanisms of cells.*

For the AFM nanoindentation tests described in their publication the authors used NanoWorld Arrow-TL2 tipless cantilevers that were functionalized with a polystyrene bead with 5 µm radius.*

Figure 1 a from “Simultaneous Quantification of the Interplay Between Molecular Turnover and Cell Mechanics by AFM–FRAP” by M. Skamrahl et al.:
Establishment and calibration of the optomechanical AFM–FRAP platform. a) Schematic of the AFM–FRAP setup illustrating the experimental power of simultaneous quantification of molecule kinetics and cell mechanics

*Mark Skamrahl, Huw Colin‐York, Liliana Barbieri, Marco Fritzsche
Simultaneous Quantification of the Interplay Between Molecular Turnover and Cell Mechanics by AFM–FRAP
Small 2019, 1902202
DOI: https://doi.org/10.1002/smll.201902202

Please follow this external link to the full article https://onlinelibrary.wiley.com/doi/full/10.1002/smll.201902202

Open Access: The article « Simultaneous Quantification of the Interplay Between Molecular Turnover and Cell Mechanics by AFM–FRAP » by Mark Skamrahl, Huw Colin‐York, Liliana Barbieri and Marco Fritzsche is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other thirdparty material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.