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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/.

Intrinsically disordered regions in TRPV2 mediate protein-protein interactions

Transient receptor potential (TRP) ion channels are gated by diverse intra- and extracellular stimuli leading to cation inflow (Na+, Ca2+) regulating many cellular processes and initiating organismic somatosensation. *

Structures of most TRP channels have been solved. However, structural and sequence analysis showed that ~30% of the TRP channel sequences, mainly the N- and C-termini, are intrinsically disordered regions (IDRs). Unfortunately, very little is known about IDR ‘structure’, dynamics and function, though it has been shown that they are essential for native channel function. *

In the article “Intrinsically disordered regions in TRPV2 mediate protein-protein interactions”, Raghavendar R. Sanganna Gari, Grigory Tagiltsev, Ruth A. Pumroy, Yining Jiang, Martin Blackledge, Vera Y. Moiseenkova-Bell and Simon Scheuring imaged TRPV2 channels in membranes using high-speed atomic force microscopy (HS-AFM). *

The dynamic single molecule imaging capability of HS-AFM allowed the authors to visualize IDRs and revealed that N-terminal IDRs were involved in intermolecular interactions. Their work provides evidence about the ‘structure’ of the TRPV2 IDRs, and that the IDRs may mediate protein-protein interactions. *

In total, 1.5 µl of the TRPV2 reconstituted vesicles were deposited on a 1.5-mm2 freshly cleaved mica surface, which was glued with epoxy to the quartz sample stage. After 20–30 min incubation, the sample was gently rinsed with imaging buffer (20 mM Hepes, pH 8.0, 150 mM NaCl) and mounted in the HS-AFM fluid cell. All images in this study were taken using a HS-AFM operated in amplitude modulation mode using optimized scan and feedback parameters and lab-built amplitude detectors and free amplitude stabilizers. *

Short (8 µm) cantilevers (NanoWorld Ultra-Short Cantilevers for High-Speed AFM USC-F1.2-k0.15) with nominal spring constant of 0.15 N/m, resonance frequency of 0.6 MHz, and a quality factor of ∼1.5 in liquid were used. AFM probes were sharpened using oxygen plasma etching to obtain better resolution. *

Fig. 1 from “Intrinsically disordered regions in TRPV2 mediate protein-protein interactions” by Raghavendar R. Sanganna Gari et al. :TRPV2 reconstitution for HS-AFM analysis. b Overview HS-AFM images (Supplementary Movie 1) of TRPV2 (windmill-shaped molecules) in soy polar lipid membranes on mica (dark background areas). False color scale: 0–9 nm. The white oversaturated areas have a height of ~26 nm and represent likely non-ruptured small vesicles. NanoWorld-USC-F1.2-k0.15 AFM probes were used for the HS-AFM — Fig. 1 from “Intrinsically disordered regions in TRPV2 mediate protein-protein interactions” by Raghavendar R. Sanganna Gari et al. :
TRPV2 reconstitution for HS-AFM analysis.
b Overview HS-AFM images (Supplementary Movie 1) of TRPV2 (windmill-shaped molecules) in soy polar lipid membranes on mica (dark background areas). False color scale: 0–9 nm. The white oversaturated areas have a height of ~26 nm and represent likely non-ruptured small vesicles.

*Raghavendar R. Sanganna Gari, Grigory Tagiltsev, Ruth A. Pumroy, Yining Jiang, Martin Blackledge, Vera Y. Moiseenkova-Bell and Simon Scheuring
Intrinsically disordered regions in TRPV2 mediate protein-protein interactions
Communications Biology volume 6, Article number: 966 (2023)
DOI: https://doi.org/10.1038/s42003-023-05343-7

Please follow this external link to read the full article: https://rdcu.be/dnNba

The article “Phosphorylation of phase-separated p62 bodies by ULK1 activates a redox-independent stress response” by Raghavendar R. Sanganna Gari, Grigory Tagiltsev, Ruth A. Pumroy, Yining Jiang, Martin Blackledge, Vera Y. Moiseenkova-Bell and Simon Scheuring 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/.

Cell surface fluctuations regulate early embryonic lineage sorting

In development, lineage segregation is coordinated in time and space. An important example is the mammalian inner cell mass, in which the primitive endoderm (PrE, founder of the yolk sac) physically segregates from the epiblast (EPI, founder of the fetus). While the molecular requirements have been well studied, the physical mechanisms determining spatial segregation between EPI and PrE remain elusive.*

In the article “Cell surface fluctuations regulate early embryonic lineage sorting” Ayaka Yanagida, Elena Corujo-Simon, Christopher K. Revell, Preeti Sahu, Giuliano G. Stirparo, Irene M. Aspalter, Alex K. Winkel, Ruby Peters, Henry De Belly, Davide A.D. Cassani, Sarra Achouri Raphael Blumenfeld, Kristian Franze, Edouard Hannezo, Ewa K. Paluch, Jennifer Nichols and Kevin J. Chalut investigate the mechanical basis of EPI and PrE sorting. *

The authors find that rather than the differences in static cell surface mechanical parameters as in classical sorting models, it is the differences in surface fluctuations that robustly ensure physical lineage sorting.*

These differential surface fluctuations systematically correlate with differential cellular fluidity, which Ayaka Yanagida et al. propose together constitute a non-equilibrium sorting mechanism for EPI and PrE lineages. By combining experiments and modeling, A. Yanagida et al. identify cell surface dynamics as a key factor orchestrating the correct spatial segregation of the founder embryonic lineages.*

The surface tension of cells was measured using an Atomic Force Microscopy (AFM) based technique with a commercially available stand-alone platform for cell adhesion and cytomechanics studies mounted on an inverted confocal microscope.*

pEPI (epiblast , EPI, founder of the fetus) and pPrE (primitive endoderm, founder of the yolk sac ) tension measurements were performed using NanoWorld ARROW-TL1Au tipless silicon AFM cantilevers (nominal spring constant of 0.03 N/m).*
Sensitivity was calibrated by acquiring a force curve on a glass coverslip. Spring constant was calibrated by the thermal noise fluctuation method. Z-length parameter and setpoint force were set at 30 μm and 10 nN, respectively. Constant height mode was selected. The measurement was carried on by lowering the tipless AFM cantilever onto an empty area next to a target cell. Once the cantilever retracted (by roughly 30 μm), it was positioned above the target cell and run a compression for 200 seconds. During the constant height compression, the force acting on the AFM cantilever was recorded. After initial force relaxation, the resulting force value was used to extract surface tension.*

ES cells tension measurements were performed using the same commercial platform for cell adhesion and cytomechanics studies and a DSD2 Differential Spinning Disk both mounted on an inverted microscope.*

NanoWorld tipless silicon AFM cantilevers of the ARROW-TL1 type were chosen (nominal spring constant of 0.03 N/m). Sensitivity was calibrated by acquiring a force curve on glass. Spring constant was calibrated by the thermal noise fluctuation method. Z-length parameter and setpoint force were set at 80 μm and 4 nN, respectively. Constant height mode was selected. The measurement was carried on by lowering the tipless AFM cantilever onto an empty area next to a target cell. Once the AFM cantilever retracted (by roughly 80 μm), it was positioned above the target cell and a compression was run for 50 seconds. During the constant height compression, the force acting on the AFM cantilever was recorded. After initial force relaxation, the resulting force value was used to extract surface tension. A confocal stack was acquired using a ×40/1.1 NA water immersion objective.*

Figure 4 from Ayaka Yanagida et al. “Cell surface fluctuations regulate early embryonic lineage sorting”:
Differences in ezrin-mediated surface fluctuations regulate cell sorting
(A) Representative images of constitutively active Ezrin-IRES-mCherry (CA-EZR) ES cells, showing a high degree of pERM variability in the low mCherry-expressing ES cells. Surface fluctuations of single CA-EZR cells without Dox and WT H2B-BFP, and CA-EZR ES cells with or without Dox in 2i+LIF. L, M, and H indicate low, medium, and high expression of mCherry as assessed by the 3-quantiles of expression in the mCherry-expressing cells. Surface fluctuations were normalized by the mean of the Dox− surface fluctuations in each of the experiments or the mean of the WT H2B-BFP surface fluctuations. p values were calculated using one-way ANOVA, with the p values above each group representing the outcome of pairwise comparison with Dox−, and the p value above all values in CA-EZR Dox+ condition representing the comparison of all groups.
(B) The surface tension of dissociated Dox-treated CA-EZR ES cells measured using the AFM technique presented in Chugh et al., 2017
is plotted against the intensity of mCherry to show that there is no correlation between CA-EZR expression and surface tension. On the right is the surface tension of dissociated WT H2B-BFP ES cells and Dox-treated CA-EZR ES cells. p value was calculated by two-way ANOVA using cell type and experimental replicate as variables.
(C) θ of the homotypic doublets that can be formed from CA-EZR ES cells with or without Dox.
(D) Representative images of CA-EZR ES cells and WT H2B-BFP ES cells aggregated with or without Dox. The line drawn through the center of the aggregates represents the line over which we found an intensity profile in (E).
(E) Representative comparison of BFP and mCherry line scan signals in the CA-EZR and H2B-BFP ES cells aggregates with or without Dox, using the line across the images in (D).
(F) Schematic showing how the radial average (dipole moment) R is calculated, along with model examples of R for distributions shown.
(G) R of aggregates of CA-EZR and H2B-BFP ES cells.

*Ayaka Yanagida, Elena Corujo-Simon, Christopher K. Revell, Preeti Sahu, Giuliano G. Stirparo, Irene M. Aspalter, Alex K. Winkel, Ruby Peters, Henry De Belly, Davide A.D. Cassani, Sarra Achouri Raphael Blumenfeld, Kristian Franze, Edouard Hannezo, Ewa K. Paluch, Jennifer Nichols and Kevin J. Chalut
Cell surface fluctuations regulate early embryonic lineage sorting
Cell, Volume 185, Issue 5, 3 March 2022, Pages 777-793.e20
DOI: https://doi.org/10.1016/j.cell.2022.01.022

The article “Cell surface fluctuations regulate early embryonic lineage sorting” by Ayaka Yanagida, Elena Corujo-Simon, Christopher K. Revell, Preeti Sahu, Giuliano G. Stirparo, Irene M. Aspalter, Alex K. Winkel, Ruby Peters, Henry De Belly, Davide A.D. Cassani, Sarra Achouri Raphael Blumenfeld, Kristian Franze, Edouard Hannezo, Ewa K. Paluch, Jennifer Nichols and Kevin J. Chalut 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/.