Abstract
Many supramolecular materials in biological systems are driven to a nonequilibrium state by the irreversible consumption of high-energy molecules such as ATP or GTP. As a result, they exhibit unique dynamic properties such as a tunable lifetime, adaptivity or the ability to self-heal. In contrast, synthetic counterparts that exist in or close to equilibrium are controlled by thermodynamic parameters and therefore lack these dynamic properties. To mimic biological materials more closely, synthetic self-assembling systems have been developed that are driven out of equilibrium by chemical reactions. This protocol describes the synthesis and characterization of such an assembly, which is driven by carbodiimide fuels. Depending on the amount of chemical fuel added to the material, its lifetime can be tuned. In the first step, the protocol details the synthesis and purification of the peptide-based precursors for the fuel-driven assemblies by solid-phase peptide synthesis. Then, we explain how to analyze the kinetic response of the precursors to a carbodiimide-based chemical fuel by HPLC and kinetic models. Finally, we detail how to study the emerging assembly’s macro- and microscopic properties by time-lapse photography, UV-visible spectroscopy, shear rheology, confocal laser scanning microscopy and electron microscopy. The procedure is described using the example of a colloid-forming precursor Fmoc-E-OH and a fiber-forming precursor Fmoc-AAD-OH to emphasize the differences in characterization depending on the type of assembly. The characterization of a precursor’s transient assembly can be done within 5 d. The synthesis and purification of a peptide precursor requires 2 d of work.
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Data availability
The authors declare that all the data supporting the findings of this study are available within the article, the source data files and the Supplementary Information files. Source data are provided with this paper.
Software availability
The MATLAB code used in this protocol together with an exemplary dataset is provided at https://github.com/BoekhovenLab/Nature_protocols. Source data are provided with this paper.
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Acknowledgements
This research was conducted within the Max Planck School Matter to Life supported by the German Federal Ministry of Education and Research (BMBF) in collaboration with the Max Planck Society. J.B., F.S., A.M.B., B.W. and O.L. acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB-863 – Project ID 111166240 (Project B11) and funding by the European Research Council (ERC starting grant 852187). J.R.F. acknowledges the Deutsche Forschungsgemeinschaft for project 411722921. Cryo-TEM measurements were performed using infrastructure contributed by the Dietz Lab and the TUM EM Core Facility. We acknowledge the technical support provided by F. Kohler.
Author information
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Contributions
F.S. and A.M.B. contributed equally to this protocol. They designed and performed the experiments and wrote the manuscript. B.W. and J.R.F. carried out the experiments. J.B. designed experiments, outlined and wrote the manuscript, and supervised the project. O.L. designed the experiments.
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Peer review information Nature Protocols thanks Dibyendu Das and the other, anonymous reviewer(s) for their contribution to the peer review of this work.
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Key references using this protocol
Tena-Solsona, M. et al. Nat. Commun. 8, 15895 (2017): https://doi.org/10.1038/ncomms15895
Schnitter, F. & Boekhoven, J. ChemSystemsChem 3, e2000037 (2021): https://doi.org/10.1002/syst.202000037
Donau, C. et al. Nat. Commun. 11, 5157 (2020): https://doi.org/10.1038/s41467-020-18815-9
Dai, K. et al. J. Am. Chem. Soc. 142, 33 (2020): https://doi.org/10.1021/jacs.0c04203
Kriebisch, B. A. K. et al. J. Am. Chem. Soc. 142, 49 (2020): https://doi.org/10.1021/jacs.0c10486
Extended data
Extended Data Fig. 1 Cryo-TEM microscope micrograph.
The control micrograph of a 10 mM precursor 2 stock solution excludes preassembly of the inactivated precursor in the absence of EDC fuel.
Extended Data Fig. 2 EDC hydrolysis and Fmoc deprotection kinetics.
a,b, The addition of the quenching solution freezes the reaction cycle of Fmoc-E-OH (1) (a) and Fmoc-AAD-OH (2) (b). In the timescale of the HPLC analysis, the degradation of EDC and Fmoc deprotection does not falsify the concentration determination.
Extended Data Fig. 3 The absorbance of light as a measure for turbidity.
a, Usage of different sample containers affects the measurement quality as sedimentation in a 96-well plate wrongly extends the system’s lifetime. b, Regarding colloids formed by 1, a cuvette is a better choice as sample container.
Supplementary information
Supplementary Video 1
Macroscopic property of reaction cycle shown by evolution of turbidity
Supplementary Video 2
Macroscopic property of reaction cycle shown by evolution of a hydrogel
Source data
Source Data Fig. 2
HPLC signal areas.
Source Data Fig. 3
UV-VIS absorbance.
Source Data Fig. 4
Rheology storage and loss modulus.
Source Data Fig. 10
Nile Red fluorescence intensity.
Source Data Fig. 11
HPLC calibration.
Source Data Extended Data Fig. 2
EDC hydrolysis and Fmoc deprotection kinetics.
Source Data Extended Data Fig. 3
Effect of sample container on UV-VIS measurements.
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Schnitter, F., Bergmann, A.M., Winkeljann, B. et al. Synthesis and characterization of chemically fueled supramolecular materials driven by carbodiimide-based fuels. Nat Protoc 16, 3901–3932 (2021). https://doi.org/10.1038/s41596-021-00563-9
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DOI: https://doi.org/10.1038/s41596-021-00563-9
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