Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Pharmacological regulation of protein-polymer hydrogel stiffness

Kun-Lin Wua, Ross C. Brethertonbc, Jennifer Davisbcde and Cole A. DeForest*abefgh
aDepartment of Chemical Engineering, University of Washington (UW), Seattle, WA 98105, USA. E-mail: profcole@uw.edu
bDepartment of Bioengineering, UW, Seattle, WA 98105, USA
cInstitute for Stem Cell & Regenerative Medicine, UW, Seattle, WA 98109, USA
dCenter for Cardiovascular Biology, UW, Seattle, WA 98109, USA
eDepartment of Laboratory Medicine & Pathology, UW, Seattle, WA 98109, USA
fDepartment of Chemistry, UW, Seattle, WA 98105, USA
gMolecular Engineering & Sciences Institute, UW, Seattle, WA 98109, USA
hInstitute for Protein Design, UW, Seattle, WA 98105, USA

Received 15th June 2023 , Accepted 7th August 2023

First published on 15th August 2023


Abstract

The extracellular matrix (ECM) undergoes constant physiochemical change. User-programmable biomaterials afford exciting opportunities to study such dynamic processes in vitro. Herein, we introduce a protein-polymer hydrogel whose stiffness can be pharmacologically and reversibly regulated with conventional antibiotics. Specifically, a coumermycin-mediated homodimerization of gel-tethered DNA gyrase subunit B (GyrB) creates physical crosslinking and a rheological increase in hydrogel mechanics, while competitive displacement of coumermycin with novobiocin returns the material to its softened state. These unique platforms could potentially be modulated in vivo and are expected to prove useful in elucidating the effects of ECM-presented mechanical signals on cell function.


The extracellular matrix (ECM) scaffolds all tissues and organs, serving as an important non-cellular component that supports cellular structure. ECM also directs cell fate and function, including migration, proliferation, and differentiation, providing spatiotemporally varied biophysical and biochemical signaling cues to embedded cells.1 Such cues draw out biochemical responses to regulate gene transcription and therefore change cell shape and cytoskeletal dynamics to govern cell growth as well as cell–cell communication.2,3 Human stem cells can specify their lineage in response to varied substrate elasticity,4 just as ECM stiffness can modulate proliferation through stimulated cyclin D1-dependent G1 cell cycle progression.3 These observations demonstrate that ECM-presented biophysical signals, especially material stiffness, play a critical role in regulating cell fate.5

Despite this existing knowledge, understanding the specific role of ECM on cell function remains a challenge to achieve in vivo. The topology and composition of ECM is not only unique to each tissue, but the ECM structure is also highly dynamic. For example, bone tissue has an average larger elastic modulus – a common measurement for stiffness – than brain tissue so that it can provide structural protection for organs.6 Moreover, cells exhibit different mechanobiological responses depending on their mechanical dosing, exhibiting a so-called “mechanical memory”.7 As such, it is desirable to develop cell culture platforms where individual parameters can be systematically tuned, particularly those whose biochemical and biophysical properties can be reversibly manipulated on demand. Researchers have turned to simplified biomaterials to further their understanding and hydrogels have proven to be a particularly attractive class of materials. Critical characteristics of hydrogels, including their high-water content, tissue-like elasticity, and facile transport of nutrients and waste, recapitulate critical aspects of the native ECM. In addition, cytocompatible hydrogel formulations can be employed to support cell encapsulation.8 The initial stiffness and degradability of hydrogels can be simply modulated through a variety of chemical approaches, making them an ideal candidate to mimic ECM and be applied in complex cell culture environments.

Many strategies exist to form hydrogels with different static mechanics; however, far fewer exist to modify mechanical properties on demand in ways that recapitulate many developmental processes, homeostasis, and disease progression. Efforts to probe the biophysical responses to ECM that can either soften or stiffen over time are needed. Stimuli-responsive cell culture platforms are a powerful tool to recapitulate in vivo cellular environments, owing to their capabilities to respond external stimuli with temporal and spatial precision.9,10 Several techniques to date have demonstrated that cell fate can be controlled through stiffness mediation with light,11–14 voltage,15 pH,16 and temperature.17,18

Deviating from conventional external triggers for material modulation, we sought to exploit an input that could be theoretically administered intravenously, opening the door to in vivo material modulation. Towards this, we were inspired by recent approaches from the Weber lab, demonstrating pharmacological-triggered material degradation could be used for controlled drug release from hydrogel depots.19–21 Complementing constructs that undergo complete dissolution following small-molecule treatment, our goal was to extend these methods to create materials capable of controlled reversible stiffening. To do so, we sought to create step-growth hydrogels that were partially modified with GyrB, such that small molecule pharmacological-mediated protein (de)dimerization which could be used to control material stiffening and softening (Fig. 1). Since both coumermycin and novobiocin bind to the amino-terminal subdomain of GyrB with high affinity (Kd, 10−8 M),22 but with different valencies (i.e., coumermycin binds two GyrB, novobiocin only one), we hypothesized that this mechanism could be exploited for inducible physical hydrogel (un)crosslinking.


image file: d3ra04046a-f1.tif
Fig. 1 Coumermycin-mediated homodimerization of GyrB can be exploited for pharmacological crosslinking of hydrogel biomaterials.

Intent on using the bioorthogonal strain-promoted azide–alkyne cycloaddition (SPAAC) to form hydrogels, we first expressed and purified GyrB containing a single azide handle (Fig. 2). For this, we exploited the sortase-tag enhanced protein ligation (STEPL) method,23–27 recombinantly expressing GyrB in E. coli as a fusion with the sortase recognition sequence (LPETG), a flexible Gly–Ser spacer, S. aureus sortase A (SrtA), and a polyhistidine tag. In the presence of calcium and an azide-containing polyglycine probe [H-GGGGDDK(N3)-NH2, ESI Methods S1 and S2], an intramolecular sortase-mediated transpeptidation ligates the azide-containing species to GyrB while cleaving the polyhistidine-tagged SrtA. If transpeptidation is initiated during immobilized metal affinity chromatography, the cleaved SrtA will remain bound to the Ni-NTA column, permitting the C-terminally azide-tagged GyrB-N3 to be generated and purified in a single step (Fig. 2a). Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and whole-protein mass spectrometric analyses indicate that the monotagged product was obtained by STEPL in good purity and with the correct mass (Fig. 2b, ESI Fig. S1, ESI Method S3 and S4).


image file: d3ra04046a-f2.tif
Fig. 2 Chemoenzymatic synthesis and validation of GyrB-N3. (a) STEPL permits one-step protein purification and C-terminal monofunctionalization of GyrB with a clickable azide handle. GyrB is appended with the genetically encoded sorting signal (LPETG) are expressed as a fusion with sortase A and a polyhistidine tag. Following chromatographic isolation, a calcium-catalyzed transpeptidation of an azide-modified polyglycine probe promotes ligation and concomitant displacement from the polyhistidine-tagged sortase. (b) Whole-protein mass spectrometry indicates that the desired GyrB-N3 product is recovered by STEPL.

With GyrB-N3 in hand, we created hydrogels through SPAAC reaction28,29 of a four-arm poly(ethylene glycol) (PEG) bicyclononyne (PEG-tetraBCN, 3 mM, Mn ∼ 20 kDa), a linear PEG-diazide (4.65 mM, Mn ∼ 3.4 kDa), and GyrB-N3 (0, 1.35, or 2.7 mM) in phosphate-buffered saline (Fig. 3a and b). Hydrogels were formed both with and without GyrB-dimerizing coumermycin (0 or 1.35 mM, preincubated with GyrB-N3 for 1 hour prior to combination with other gel precursors) and analysed via in situ rheometry (ESI Method S5, ESI Fig. S2). Gels formed at similar rates, reaching complete gelation in ∼1 h, but were significantly stiffer when both GyrB and coumermycin were included (Fig. 3c). Moreover, the extent of hydrogel stiffening was observed to scale with GyrB concentration when coumermycin was present, but not in its absence, indicating that coumermycin could successfully crosslink these protein-polymer hydrogels (Fig. 3d). Experiments in which preformed hydrogels were incubated in a coumermycin-containing solution prior to mechanical testing were also performed, with results trending similarly with those shown in Fig. 3d (in which coumermycin was included during hydrogel formation). These efforts were largely abandoned, however, due to challenges in reproducibly loading/analyzing precast hydrogels on the rheometer.


image file: d3ra04046a-f3.tif
Fig. 3 (a) Macromolecular precursors are polymerized via step-growth polymerization into bulk hydrogels. (b) Gels form via SPAAC reaction between reactive azides and ring-strained BCN moieties. (c) In situ rheometry indicates that GyrB-containing SPAAC hydrogels including coumermycin form at a similar rate but with higher stiffness than those that do not. (d) Hydrogel stiffness, as measured by in situ rheometry, scales with GyrB concentration, but only when coumermycin is present.

Having demonstrated that coumermycin could be used to create comparatively stiff GyrB-containing biohybrid gels through secondary physical crosslinking, we turned our attention towards controlling subsequent material softening through novobiocin's competitive displacement of coumermycin (Fig. 4a). Here, material stiffness of gels formed with(out) coumermycin (0 or 1.35 mM), as well as with(out) novobiocin (0 or 13.5 mM), was assessed rheometricly (Fig. 4b). Coumermycin dimerization of GyrB-N3 was allowed to proceed for 1 hour prior to addition of novobiocin (1 hour), both before addition of PEG-tetraBCN and PEG-diazide. In gels lacking coumermycin, inclusion of novobiocin yielded no decrease in moduli, as expected. Gels containing coumermycin alone were significantly stiffer than those without, while those supplemented with novobiocin softened to the same moduli as gels lacking coumermycin.


image file: d3ra04046a-f4.tif
Fig. 4 (a) Competitive displacement of coumermycin with novobiocin enables pharmacological softening of GyrB SPAAC hydrogels. (b) Hydrogels containing both coumermycin (coum) and novobiocin (novo) exhibit similar stiffnesses with those lacking coumermycin, as measured by in situ rheometry.

Our findings illustrate how the stiffness of biomaterials can be pharmacologically modified through controlled protein dimerization. Drug-responsive biohybrid hydrogels were synthesized through SPAAC click chemistry to incorporate PEG polymers with GyrB fusion proteins, allowing common aminocoumarin antibiotics to dimerize in between. Rheological studies of these novel materials were conducted to investigate the reversible stiffness changes through the presence or absence of coumermycin/novobiocin antibiotics. While such studies extend beyond the scope of this initial communication, we anticipate that this material strategy could uniquely enable regulation of material stiffness in the presence of living cells and potentially in vivo, strategies that could yield new approaches for tissue engineering and drug delivery.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was supported by the National Science Foundation (NSF) in the form of an unsolicited grant (DMR 1807398, to C.A.D.), a Faculty Early Career Development Program (CAREER) (DMR 1652141, to C.A.D.), a Graduate Research Fellowships (DGE 1762114, to R.C.B.). The authors further acknowledge support from the National Institutes of Health in the form of a Maximizing Investigators' Research Awards (R35GM138036 to C.A.D.).

References

  1. C. Frantz, K. M. Stewart and V. M. Weaver, J. Cell Sci., 2010, 123, 4195–4200 CrossRef CAS PubMed .
  2. D. E. Ingber, Faseb J., 2006, 20, 811–827 CrossRef CAS PubMed .
  3. J. M. Muncie and V. M. Weaver, in Current Topics in Developmental Biology, Elsevier, 2018, vol. 130, pp. 1–37 Search PubMed .
  4. A. J. Engler, S. Sen, H. L. Sweeney and D. E. Discher, Cell, 2006, 126, 677–689 CrossRef CAS PubMed .
  5. O. Chaudhuri, J. Cooper-White, P. A. Janmey, D. J. Mooney and V. B. Shenoy, Nature, 2020, 584, 535–546 CrossRef CAS PubMed .
  6. A. M. Handorf, Y. Zhou, M. A. Halanski and W.-J. Li, Organogenesis, 2015, 11, 1–15 CrossRef PubMed .
  7. C. Yang, M. W. Tibbitt, L. Basta and K. S. Anseth, Nat. Mater., 2014, 13, 645–652 CrossRef CAS PubMed .
  8. C. A. DeForest and K. S. Anseth, Annu. Rev. Chem. Biomol. Eng., 2012, 3, 421–444 CrossRef CAS PubMed .
  9. K. Uto, J. H. Tsui, C. A. DeForest and D.-H. Kim, Prog. Polym. Sci., 2017, 65, 53–82 CrossRef CAS PubMed .
  10. B. A. Badeau and C. A. DeForest, Annu. Rev. Biomed. Eng., 2019, 21, 241–265 CrossRef CAS PubMed .
  11. E. R. Ruskowitz and C. A. DeForest, Nat. Rev. Mater., 2018, 3, 17087 CrossRef CAS .
  12. Z. Zheng, J. Hu, H. Wang, J. Huang, Y. Yu, Q. Zhang and Y. Cheng, ACS Appl. Mater. Interfaces, 2017, 9, 24511–24517 CrossRef CAS PubMed .
  13. A. M. Rosales, S. L. Vega, F. W. DelRio, J. A. Burdick and K. S. Anseth, Angew. Chem., Int. Ed., 2017, 56, 12132–12136 CrossRef CAS PubMed .
  14. L. Liu, J. A. Shadish, C. K. Arakawa, K. Shi, J. Davis and C. A. DeForest, Adv. Biosyst., 2018, 2, 1800240 CrossRef PubMed .
  15. R. Yang and H. Liang, RSC Adv., 2018, 8, 6675–6679 RSC .
  16. H. Y. Yoshikawa, F. F. Rossetti, S. Kaufmann, T. Kaindl, J. Madsen, U. Engel, A. L. Lewis, S. P. Armes and M. Tanaka, J. Am. Chem. Soc., 2011, 133, 1367–1374 CrossRef CAS PubMed .
  17. L.-F. Tseng, P. T. Mather and J. H. Henderson, Acta Biomater., 2013, 9, 8790–8801 CrossRef CAS PubMed .
  18. K. Uto, T. Aoyagi, C. A. DeForest and M. Ebara, Biomater. Sci., 2018, 6, 1002 RSC .
  19. M. Ehrbar, R. Schoenmakers, E. H. Christen, M. Fussenegger and W. Weber, Nat. Mater., 2008, 7, 800–804 CrossRef CAS PubMed .
  20. R. J. Gübeli, M. Ehrbar, M. Fussenegger, C. Friedrich and W. Weber, Macromol. Rapid Commun., 2012, 33, 1280–1285 CrossRef PubMed .
  21. R. J. Gübeli, K. Schöneweis, D. Huzly, M. Ehrbar, G. C.-E. Hamri, M. D. El-Baba, S. Urban and W. Weber, Sci. Rep., 2013, 3, 2610 CrossRef PubMed .
  22. N. A. Gormley, G. Orphanides, A. Meyer, P. M. Cullis and A. Maxwell, Biochemistry, 1996, 35, 5083–5092 CrossRef CAS PubMed .
  23. R. Warden-Rothman, I. Caturegli, V. Popik and A. Tsourkas, Anal. Chem., 2013, 85, 11090–11097 CrossRef CAS PubMed .
  24. J. A. Shadish, G. M. Benuska and C. A. DeForest, Nat. Mater., 2019, 18, 1005–1014 CrossRef CAS PubMed .
  25. P. M. Gawade, J. A. Shadish, B. A. Badeau and C. A. DeForest, Adv. Mater., 2019, 31, 1902492 CrossRef PubMed .
  26. I. Batalov, K. R. Stevens and C. A. DeForest, Proc. Natl. Acad. Sci. U. S. A., 2021, 118, e2014194118 CrossRef CAS PubMed .
  27. E. R. Ruskowitz, B. G. Munoz-Robles, A. C. Strange, C. H. Butcher, S. Kurniawan, J. R. Filteau and C. A. DeForest, Nat. Chem., 2023, 15, 694–704 CrossRef CAS PubMed .
  28. C. A. DeForest, B. D. Polizzotti and K. S. Anseth, Nat. Mater., 2009, 8, 659–664 CrossRef CAS PubMed .
  29. C. A. DeForest and D. A. Tirrell, Nat. Mater., 2015, 14, 523–531 CrossRef CAS PubMed .

Footnote

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3ra04046a

This journal is © The Royal Society of Chemistry 2023
Click here to see how this site uses Cookies. View our privacy policy here.