Abstract
Cell-mediated living fabrication has great promise for generating materials with versatile, programmable functions. Here, we demonstrate the engineering of living materials consisting of semi-interpenetrating polymer networks (sIPN). The fabrication process is driven by the engineered bacteria encapsulated in a polymeric microcapsule, which serves as the initial scaffold. The bacteria grow and undergo programmed lysis in a density-dependent manner, releasing protein monomers decorated with reactive tags. Those protein monomers polymerize with each other to form the second polymeric component that is interlaced with the initial crosslinked polymeric scaffold. The formation of sIPN serves the dual purposes of enhancing the mechanical property of the living materials and anchoring effector proteins for diverse applications. The material is resilient to perturbations because of the continual assembly of the protein mesh from the monomers released by the engineered bacteria. We demonstrate the adoption of the platform to protect gut microbiota in animals from antibiotic-mediated perturbations. Our work lays the foundation for programming functional living materials for diverse applications.
Similar content being viewed by others
Introduction
An interpenetrating polymer network (IPN) is a combination of two or more polymers in networks that are interlaced with each other. If one of the polymers is not fully cross-linked, a semi-IPN (sIPN) results (Fig. 1a)1,2,3. By maintaining the key properties of each component, an engineered semi-IPN can be multi-functional4,5. For example, a semi-IPN composed of a temperature-sensitive component and a pH-sensitive component can respond to both cues6. Moreover, the interlacing between two or more components can reinforce or modulate the physical properties, such as mechanical strength of resultant material7,8.
Although most semi-IPNs are assembled by the synthetic polymers, the incorporation of effector proteins can generate biological sensing or actuating capabilities. This incorporation can be achieved through physical absorption or entrapment of a functional protein to a scaffold, which, however, is prone to leaking due to the weak bonding9. Covalent bonding can enhance the immobilization of a target protein10. To do so, the latter has to be modified with multiple chemical synthesis steps to display chemically reactive groups. However, the harsh reaction environment may cause protein denaturation9,11,12. Also, the modifications may occur at multiple positions within a protein, making selective modification challenging and frequently yielding heterogeneous products13.
Advances in protein engineering have made it possible to engineer protein tags that can form covalent bonds under mild conditions14,15,16. For example, protein polymers or hydrogels can be assembled by recombinant proteins with reactive tags17,18. However, this line of research is primarily done by using purified protein components, making the fabrication process time-consuming17,19. Importantly, materials assembled by chemical processes or purified proteins are sensitive to perturbations: after initial assembly, they cannot resume the lost function caused by perturbations.
The past 20 years have witnessed tremendous progress in synthetic biology, particularly in the ability to assemble complex gene circuits and to program certain well-defined dynamic functions. Recent examples have demonstrated the use of engineered bacteria to fabricate materials20,21. However, these studies have focused on a proof-of-concept demonstration of the fabrication process, instead of using the materials for specific applications. Also, the resulting materials do not exploit unique features of the living cells, such as sustained synthesis and biomolecules assembly, or the response to the environmental factors, although the engineered cells are critical for fabrication20,21,22.
Here, we present a programmable approach to fabricate a bio-hybrid semi-IPN (sIPN) by co-opting engineered bacteria to grow the polymerized protein on top of a cross-linked scaffold. The core of the technology is a polymeric capsule encapsulating engineered bacteria that continually produce and release monomers to assemble the polymerized protein (Fig. 1b). The engineered bacteria can sense their physical confinement from the capsules and undergo autonomous lysis at a high local density. Upon lysis, the bacteria release monomers with multiple reactive tags, which can polymerize inside the capsules.
By design, the process is biocompatible and versatile to incorporate functional proteins by covalent bonds without requiring harsh reaction conditions. Due to the nature of the living fabrication, the material is resilient in its ability to recover its programmed function after transient or constant perturbations: i.e., it can self-repair during and post perturbations. Moreover, the encapsulated bacteria enable assembly of the protein polymer in a tunable manner. The formation of sIPNs leads to strengthening of the mechanical property of the proteins and the versatile functionalization of the scaffold polymer by incorporating different effector proteins, depending on the application context. To this end, we demonstrate the engineering of living materials to efficiently protect gut microbiota from an antibiotic-mediated perturbation.
Results
Fabrication of living sIPN capsules
We used an engineered ePop circuit to program autonomous lysis of bacteria23. High cell densities lead to an increased plasmid copy number and greater E protein expression (a toxic protein interferes the cell wall synthesis), which then result lysis of a subpopulation of the bacteria and density-dependent-release of protein monomers. Unless noted otherwise, all bacteria described below are engineered to carry this circuit. Using this as the foundation, we further introduced circuits that encode different protein monomers. The backbone of the monomers is hydrophilic elastin-like polypeptides (ELPs)17. These ELPs were fused with either multiple SpyCatcher or SpyTag sequences, so they can polymerize by covalent bonding (Supplementary Fig. 1). SpyTag and SpyCatcher are a pair of reactive protein partners that can spontaneously react to reconstitute the intact folded CnaB2 domain under mild conditions24. The system is highly robust: the polymerization between a monomer containing SpyTags (T-mer) and one containing SpyCatchers (C-mer) can proceed efficiently at biocompatible environmental conditions15,25. We used the chitosan to assemble the initial polymeric scaffold26. The positive-charged amine groups of chitosan are cross-linked by non-toxic polyanion negative-charged tripolyphosphate (Supplementary Fig. 2). The scaffold traps the living cells and provides a concentrated monomers environment, facilitating covalent bonds formation between the monomers (Fig. 1b).
We generated four genes encoding four basic monomers: two T-mers and two C-mers (Supplementary Fig. 1). A plasmid containing each gene under control of an inducible promoter (Supplementary Materials) and the ePop circuit were co-transformed into MC4100Z1 E. coli bacteria (MC). Thus, each resulting strain can produce and release a single monomer through programmed autolysis. We first co-cultured bacteria producing T-mers (MC (T2-mCherry) or MC (T3)) and bacteria producing C-mers (MC(C2) or MC (C3)) in the liquid culture, harvested and purified the supernatant after 24 h. SDS–PAGE gel indicated the formation of protein complexes by the monomers, as the presence of bands at higher molecular weight (Fig. 2a).
In a liquid culture, the monomers are diluted upon being released from lysed bacteria. In contrast, microcapsules can concentrate the monomers and facilitate polymerization. Using the same number of cells, the encapsulation (~400 μL) can provide ~10 times concentrated monomer environment than liquid culture (4 mL nutrients). The concentration of monomers in each capsule increased to ~7 μM after 12 h, corresponding to an increase in the cell number (Supplementary Fig. 3). At such a concentration, the monomers can react with a half-life of several minutes25, and polymerize more efficiently (>460 kDa for T2-mCherry and C3) compared with the reaction in the supernatant, as indicated by the PAGE gel (Supplementary Fig. 4).
To fabricate living sIPN capsules, we mixed bacteria producing a T-mer containing two SpyTags fused to mCherry as a reporter (MC (T2-mCherry)) and bacteria producing a C-mer containing three SpyCatchers (MC (C3)) and encapsulated them with chitosan. As a control, MC (C3) was replaced with MC (T3), which produces a T-mer containing three SpyTags. Since T3 and T2-mCherry cannot form covalent bonds, they do not polymerize inside capsules (non-IPN capsules). As such, we expect T2-mCherry to leak out. Consistent with this notion, the culture containing non-IPN capsules exhibited substantial red fluorescence outside the capsules (Fig. 2b, left; Supplementary Movie 1). In contrast, living sIPN capsules had much brighter red fluorescence inside the capsules, with little leakage (Fig. 2b, right; Supplementary Movie 2). During growth, the bacterial culture changed the growth environment in multiple aspects, including the pH and ionic strength, and therefore caused the shrinking of chitosan capsules27. This phenomenon is more pronounced in non-IPN capsules, possibly because the polymerized protein components (hydrophilic ELPs) stay swollen and restrain the polymeric network from collapsing in living sIPN capsules. We further washed both capsules, dehydrated, sectioned, and imaged by confocal microscopy. The living sIPN capsules show overall stronger mCherry signal, which is consistent with what we observed from movies (Supplementary Fig. 5). SEM images indicate smaller pore size inside living sIPN capsules, compared with non-IPN capsules (Supplementary Fig. 6). To observe the polymerized protein inside living sIPN, we dehydrated, embedded, and sliced both non-IPN and living sIPN capsules into thin sections. The sections were placed on a coated copper grid and stained with Ni-NTA-AuNPs (gold nanoparticles, 5 nm). Since the protein monomers were His-tagged, the polymerized protein can be differentiated due to its conjugation with AuNPs. Our results confirm the existence of polymerized protein inside living sIPN capsules as indicated by the densely alignment of the AuNPs. In comparison, there is only sparse and scattered distribution of AuNPs inside non-IPN capsules (Supplementary Fig. 7).
The formation of sIPN can strengthen the resulting material. To test this notion, we performed dynamic shear rheology experiments in the strain sweep and frequency-sweep mode, in which storage modulus was monitored for living sIPN, non-IPN capsules, capsules encapsulating cells but not producing any monomers and capsules containing no cells. The storage modulus of the capsules containing no cells stayed constant after 24 h. Both non-IPN capsules and capsules encapsulating cells but not producing any monomers increased by ~2-fold during the same time window, likely due to the cell growth. In contrast, the storage modulus of living sIPN capsules increased by ~4-fold, suggesting an additional role in the formation of a semi-interpenetrating polymeric network (Supplementary Fig. 8).
Bla as a model protein for functional living sIPN fabrication
Depending on the application context, different functional proteins can be incorporated into the living sIPN material in a flexible manner due to its programmability. Here, we chose the beta-lactamase (Bla) as a model protein to functionalize the living sIPN capsules. We used these functional living sIPN capsules to minimize the perturbation of the microbiota during blood-infusion of a beta-lactam antibiotic.
Intravenous (IV) administration of antibiotics into the bloodstream is often used to treat severe bacterial infections28. Beta-lactams account for 72% of IV-administrated antibiotics in the United States annually29. After injection, the antibiotics rapidly accumulate in the bile and in the gut subsequently30. This unintended accumulation can cause severe disruption of the normal intestinal microflora, increasing the susceptibility of a patient to secondary infections caused by pathogens such as Clostridium difficile31,32,33,34. One approach to protect the microbiome from antibiotic-mediated perturbation is to use Bla to degrade beta-lactams in the gastrointestinal tract29,35,36. However, free Bla is prone to breakdown (e.g., by proteinases) inside the gut, reducing the efficiency of protection30,36,37. We reason that our platform can increase the treatment efficacy because of the continual production of Bla by the living bacteria as well as the enhanced Bla stability due to the formation of sIPN (Supplementary Fig. 9a)38,39.
To fabricate living sIPN capsules containing Bla (living Bla sIPN capsules), we mixed bacteria producing a T-mer containing three SpyTags fused to Bla (MC (T3-Bla)) and bacteria producing a C-mer containing three SpyCatchers (MC(C3)), and encapsulated them with chitosan. As a control, we manufactured living non-IPN capsules producing Bla by replacing MC(C3) with MC(T3). Both capsules were cultured in M9 medium and harvested at various time points for Bla activity evaluation. As shown in Fig. 3a, the Bla activity of both capsules accumulated gradually over time, likely due to the continual production by the engineered bacteria. At 24 h, the Bla activity of living Bla sIPN capsules (anchoring ~1010 Bla molecules per capsule, see “Methods”) was ~3.27-fold of that of non-IPN capsules, indicating a greater retention of Bla in sIPN-mediated immobilization.
The continual synthesis by the engineered bacteria can also confer the living sIPN material resilience to perturbations. That is, the material has the ability to recover its function after transient or prolonged perturbations. Such a property can facilitate robust function of the material in a complex environment, where multiple factors may transiently deactivate the material. To test this notion, we supplemented clavulanic acid, an effective Bla inhibitor40, to supernatant containing Bla of the liquid culture or the living Bla sIPN capsules for 10 min or 24 h as a transient or prolonged perturbations. When clavulanic acid was supplemented for 24 h (co-cultured with 0.1, 0.5, or 1 μg/mL clavulanic acid overnight), living Bla sIPN capsules maintained ~65–86% of the enzymatic activity; in contrast, living non-IPN capsules producing Bla maintained ~9–45% activity, while the Bla activity in the supernatant was completely quenched (Fig. 3b and Supplementary Fig. 10b). When clavulanic acid was supplemented for 10 min, the living Bla sIPN capsules partially stabilized the Bla function and maintained ~66, 45, or 11% (~38%, 29%, or zero for living non-IPN capsules producing Bla) of the enzymatic activity when treated by 0.1, 0.5, or 1 μg/mL clavulanic acid (Supplementary Figs. 9b and 10a; Supplementary Table 1). All the clavulanic acid treated living Bla sIPN capsules fully resumed the activity after another 24 h culture. In comparison, following the same treatment, living non-IPN capsules producing Bla restored ~53–87% of enzymatic activity, and the supernatant (containing Bla before treatment) or capsules containing pure Bla did not regain any enzymatic activity (Supplementary Figs. 9b, 10a, and 10c).
To test the protection of microbiome by the functionalized living material, we transformed our circuit into a probiotic E. coli strain, Nissle 1917 (NI), which is widely considered to be safe for human consumption41,42. We first confirmed the ePop function and expression of protein monomers in NI (Supplementary Fig. 11). We then encapsulated NI(T3-Bla) with NI(C3) using chitosan to manufacture the living Bla sIPN capsules. As control, we manufactured living non-IPN capsules producing Bla by replacing NI(C3) with NI(T3). Consistent with the results using MC4100Z1 strain (Fig. 3), sIPN fabricated by Nissle strain can anchor the Bla and enhance the enzyme stability in response to perturbations (Supplementary Fig. 12a and b). Chitosan scaffold can further protect the living cells from acidic condition, mimicking the pH in the stomach, since the amine groups are able to buffer low pH by protonation. In the liquid culture, the number of viable bacteria decreased from ~109 to 103 CFU/mL after being exposed to a highly acidic environment (pH = 1) for 1 h. In contrast, the number of viable encapsulated bacteria decreased from ~108 to 106 CFU/mL after the same treatment (Supplementary Fig. 13). We further tested if the treated cells could re-grow and function properly by culturing the cells (protected or unprotected) in the medium for another 24 h. Our results showed that the Bla activity produced and released by the protected cells (treated in the acidic environment for 2 h) was ~90% of the activity under the untreated condition. These results indicate the maintenance of the living-synthesis capability by the encapsulated bacteria (Fig. 3c).
We randomly divided 40 six-week-old BALB/c male mice into four groups (n = 10 for each group). The mice were kept in the animal facility for 1 week to stabilize the gut microbiome before antibiotics treatment. On day 0, feces samples were collected from all mice and used as a reference point. From days 1–3 (on each day), three different capsules (25,000 capsules for each mouse) were fed (by oral gavage) to mice of groups 2–4 one hour before 5 mg of ampicillin was injected into each mouse through the tail vein (Fig. 4a)35. Mice of group 1 (no capsules) received only antibiotic injection. Living Bla sIPN capsules and living non-IPN capsules containing bacteria producing Bla were administered to mice of groups 2 (living sIPN) and 3 (living non-IPN), respectively. Both types of capsules were cultured in M9 medium for 20 h before being fed to mice. Pure Bla capsules (capsules containing purified T3-Bla but no cells) were administered to mice of group 4 (pure Bla). The initial Bla activity of pure Bla capsules was ~2.5 times higher than that of living Bla sIPN capsules. In addition to day 0, feces samples were also collected on days 4, 7, and 14.
We used several different measurements to quantify perturbations of gut microbiome over time. We used fecal DNA content to estimate the absolute abundance of gut microbiota between day 0 and each of the following time points (days 4, 7, and 14) for all 40 mice individually (Fig. 4a). We further used 16S rRNA sequencing to track changes in the composition of gut microbiota throughout the antibiotics-perturbation experiment (Fig. 4a, b and Supplementary Fig. 14). The weighted UniFrac takes into account both phylogenetic lineages and relative abundance of two samples43. The higher the weighted UniFrac distance, the more dissimilar is a gut microbiome composition from that of day 0 (Fig. 4a). Our results revealed that the gut microbiota of mice in group 1 (no capsules) on day 4 were severely perturbed after being treated with ampicillin (days 1–3), in terms of the absolute abundance and the taxonomy profile of gut microbiota. In comparison, treatment by using various capsules that contain Bla all reduced the perturbation of ampicillin on gut microbiota to varying degrees (Fig. 4). Though living Bla sIPN capsules (group 2) had less initial Bla activity than capsules containing pure Bla (group 4), living sIPN capsules exhibited the most potent protection, especially during the early stage (i.e., day 4) (Supplementary Table 2). This result underscores the benefit of living synthesis and sIPN-mediated stabilization of Bla (Fig. 4 and Supplementary Fig. 14). Living non-IPN capsules containing bacteria producing Bla (group 3) demonstrated comparable protection as capsules containing pure Bla only. All three types of capsules stayed inside the gut for 4–5 h before cleared out of the body (Supplementary Fig. 15).
Discussion
We have demonstrated a new approach to fabricate semi-IPN that is living, functional and biocompatible. In comparison with conventional methods, living fabrication does not require the labor-intensive processes of preparing the purified components or extensive optimization of the fabrication process. The polymerized protein component in the semi-IPN is assembled by the monomers produced and released by the engineered autolysis bacteria. Depending on specific application contexts, the effector proteins can be released by secretion, as demonstrated in a recent study44. Due to the circuit design, the living functional material is resilient to perturbations and robust in maintaining the programmed functions. The system is modular: the engineered gene circuit, the bacterial strain, the functional protein, the polymerization chemistry, and encapsulating material can be separately optimized and then integrated. For example, the SpyTag-SpyCatcher chemistry can be optimized or substituted with other reaction systems for protein polymerization. We used chitosan as encapsulating material partially due to its amine groups can be protonated to protect the cells at acidic environment. The system can be further modified to adjust their circulation dynamics and cell escape rate by surface modifications (Supplementary Figs. 16 and 17). Besides micro-sized capsules, our strategy could be extended to build bulk living material due to its modularity. For example, we can mix alginate with engineered bacteria and cross-link the system with calcium ions to form bulk gel45,46. The bacteria inside the bulk gel assemble the polymerized protein, which then interlaces with the alginate networks to form the semi-IPN.
Our system demonstrates the integration of synthetic biology, protein engineering, and material science to achieve living functional material synthesis. In particular, it represents the first example to use living cells to create active materials, of which the function also requires programmed behavior of the cells. Our work is also the first example where bacterially fabricated living materials are used in a setting with direct clinical relevance—the protection of the gut microbiota against unintended perturbations by antibiotics, and the unique features of the living materials are critical for the target application. Variants of our system can be adopted for other types of applications, including controlled drug release, environmental cleanup, or self-healing material.
Methods
Overnight liquid culture
Bacteria carrying the ePop circuit were streaked onto an agar plate supplemented with 2% (w/v) glucose and incubated at 37 °C for 16 h. Then, a single colony was picked and inoculated into LB media with 2% (w/v) glucose and appropriate antibiotics when applicable in the overnight cultures. Bacteria carrying inducible protein-expression circuits (T5) were induced with 1 mM IPTG.
Production of chitosan microcapsules containing bacteria
Two percent (w/v in 1% acetic acid solution) chitosan (Sigma-Aldrich) solution and bacteria solution were mixed and loaded into a syringe attaching with a blunt tip. The syringe was placed onto a syringe pump, with the needle connected to the anode of a high voltage DC power supply (Dongwen high voltage) and a sterile metal receiving container (loaded with cross-linking solution 5% (w/v) tripolyphosphate, Sigma-Aldrich) connected to the cathode. The mixture of chitosan and bacteria solution was sprayed at 5 kV to the receiving container with stirring. The microcapsules were collected by centrifugation at 500 × g for 5 min and then washed twice by PBS.
Protein purification
For His-tag affinity purification, we used 75 μL cOmplete™ His-Tag purification resin (Sigma-Aldrich) to bind 4 mL supernatant and eluted the resin by 75 μL elution buffer. For all protein samples, SDS–PAGE with Coomassie Blue stain was used to verify the protein monomers and polymerized proteins.
Preparation and observation of capsules and frozen sections
To fabricate living sIPN capsules, 187.5 μL overnight culture of MC (T2-mCherry) and 187.5 μL overnight culture of MC (C3) were mixed, centrifuged and re-suspended in 37.5 μL LB medium, and encapsulated into 375 μL chitosan solution. The capsules were inoculated into 4 mL M9 with appropriate antibiotics and 1 mM IPTG and cultured at 37 °C. To fabricate non-IPN capsules, MC (C3) was replaced with MC (T3), while other procedures were the same. An inverted fluorescence microscope (Nikon Eclipse Ti) with ×10 objective was employed to monitor the sIPN formation. ImageJ was used to generate the supplementary movies.
To obtain the frozen sections, sIPN and non-IPN capsules (cultured for 24 h) were first dehydrated in the 30% sucrose solution for 6 h. The capsules were then embedded using tissue freeze medium (SAKURA Tissue-Tek® O.C.T.) and frozen in the −80 refrigerator overnight. The resultant system was then cut to 10-µm thick tissue sections using a cryostat (Leica CM3050 S). The section was thaw-mounted on a coverslip for confocal microscopy observation (Nikon A1R).
Scanning electron microscope (SEM) observation
The procedures to prepare chitosan capsules, living sIPN, and non-IPN capsules were described as above. All capsules were cultured for 24 h in media. Chitosan capsules, living sIPN and non-IPN capsules were first frozen in liquid nitrogen, and then lyophilized overnight (Christ Alpha1-2LDplus). The capsules were dissected and then observed under the SEM (Phenom XL).
Transmission electron microscopy (TEM) observation
The procedures to prepare living sIPN and non-IPN capsules were described as above. All capsules were cultured for 24 h in media. Living sIPN and non-IPN capsules were first dehydrated in the 30% sucrose solution for 6 h. The capsules were then embedded, thin sectioned using a cryostat (Leica CM3050 S), and mounted onto coated grids. The grids were then washed by 30 μL selective binding buffer (20 mM Na2HPO4, 500 mM NaCl, 20 mM imidazole, pH = 7.4) twice, and placed upside down on a droplet containing Ni-NTA-AuNP (10 nM, Nanoprobes) and incubated for 90 min at room temperature. The grids were then washed twice with selective binding buffer and twice with D.I. water. Before imaging, the grids were negatively stained by 10 μL of 2% (w/v) phosphotungstic acid solution, washed twice by D.I. water, followed by air-dried and examined by a FEI Spirit T12 transmission electron microscope. Images were taken with an Orius SC200B 200 kV camera.
Dynamic shear rheology measurement
Dynamic strain-, and frequency-sweep experiments were performed on a TA Instruments ARES-RFS strain-controlled rheometer with a standard steel parallel-plate geometry (8-mm diameter). A layer of capsules was dispersed on the plates and was monitored by strain sweep and frequency sweep, respectively, at 25 °C. Strain sweep was performed from 0.1 to 10% at a fixed frequency of 10 rad/s at 25 °C. Frequency sweep was performed from 10 to 0.1 Hz by holding the strain at 5%.
Preparation of living Bla sIPN capsules
To fabricate living Bla sIPN capsules, 312.5 μL overnight culture of MC (T3-Bla) and 62.5 μL overnight culture of MC (C3) were mixed, centrifuged and re-suspended in 37.5 μL LB medium, and encapsulated into 375 μL chitosan solution. The capsules were inoculated into 4 mL M9 with appropriate antibiotics and 1 mM IPTG and cultured at 37 °C for 24 h. To fabricate living non-IPN capsules producing Bla, MC (C3) was replaced with MC (T3), while other procedures were the same.
Measuring Bla activity
The Bla activity was quantified by nitrocefin (Abcam) assay. 5 μL supernatant or 5 μL capsules were diluted into 100 μL using PBS and mixed with substrate nitrocefin (concentration = 50 μM). The resulting absorbance at 490 nm due to the generation of a colored produce was measured as a function of time by a platereader (BioTek Epoch 2). The measurement of enzymatic activity can be explained by the Michaelis–Menten kinetics described in our previous paper27. Experimentally, enzymatic activity is calculated by taking the time derivative of the absorbance at 490 nm in the initial time window, when the absorbance increases linearly with time.
To quantify Bla activity in one capsule, we used the purified T3-Bla to first generate a calibration curve (Supplementary Fig. 3a). We then measured the enzymatic activity for capsules and back-calculated the concentration of Bla in capsules (Ccapsules/μM). Each capsule anchoring Bla was calculated based on \({M}_{{{\mathrm{each}}\; {\mathrm{capsule}}}}={C}_{{{\mathrm{capsules}}}}\times {V}_{{{\mathrm{capsuels}} }}\times {N}_{{\mathrm{A}}}\).
Evaluation of cell number and monomer concentration inside capsules
In total, 375 μL of overnight culture of MC(T3-Bla) were centrifuged and re-suspended in 37.5 μL LB medium and encapsulated into 375 μL chitosan solution. The capsules were inoculated into 4 mL M9 with appropriate antibiotics and 1 mM IPTG. To estimate the number of monomers inside the capsules, we cultured these capsules and collected the capsules (without washing) at different time points. We released the monomer from the capsules by treating with 2.5 M NaCl (vortexing 5 min) followed by PBS (vortexing 10 min). The Bla activity in the supernatant was measured and then back-calculated to the concentration in capsules (Supplementary Fig. 3b).
To measure the cell viability in the encapsulation, we made the capsules encapsulating MC(T3-Bla) (same procedures above), cultured in 4 mL M9 and collected the capsules at different time points. To release bacteria from capsules, we used 2.5 M NaCl (vortexing 5 min) followed by PBS (vortexing 10 min) to destabilize the capsules. Colony-forming unit (CFU) was used to estimate the number of viable bacteria (Supplementary Fig. 3c).
Evaluation of transient or prolonged perturbation on sIPN capsules
To fabricate living Bla sIPN capsules, 312.5 μL overnight culture of MC (T3-Bla) and 62.5 μL overnight culture of MC (C3) were mixed, centrifuged and re-suspended in 37.5 μL LB medium, and encapsulated into 375 μL chitosan solution. The capsules were inoculated into 4 mL M9 with appropriate antibiotics and 1 mM IPTG and cultured at 37 °C for 24 h. To fabricate living non-IPN capsules producing Bla, MC (C3) was replaced with MC (T3), while other procedures were the same. For liquid culture, 312.5 μL overnight culture of MC (T3-Bla) and 62.5 μL overnight culture of MC (C3) were mixed and inoculated into 4 mL M9 with appropriate antibiotics and 1 mM IPTG and cultured in 37 °C for 24 h.
For transient perturbations, clavulanic acid (0.1, 0.5, or 1 μg/mL, Dr. Ehrenstorfer GmbH) was added to the supernatant of the liquid culture, living sIPN capsules or non-IPN capsules and incubated for 10 min before the Bla assay. For liquid culture, the Bla supernatant was first purified using His-tagged beads to remove the inhibitor, re-inoculated into the same amount of M9 and cultured for another 24 h before the enzymatic assay. For living sIPN or non-IPN capsules, the treated capsules were collected and re-inoculated into the same amount of M9 nutrients and cultured for another 24 h before the enzymatic assay.
For prolonged perturbation, after 24 h culture, the Bla supernatant was first purified using His-tagged beads, re-inoculated into the same amount of M9 with clavulanic acid (0.1, 0.5, or 1 μg/mL) and cultured for another 24 h before the enzymatic assay. For living sIPN or non-IPN capsules, the capsules were collected and re-inoculated into the same amount of M9 nutrients with clavulanic acid (0.1, 0.5, or 1 μg/mL) and cultured for another 24 h before the enzymatic assay.
Monitoring circulation dynamics of capsules inside mice
375 μL of overnight culture of NI (Luminescence) without ePop were centrifuged and re-suspended in 37.5 μL LB medium and encapsulated into 375 μL chitosan solution. These capsules were inoculated into 4 mL M9 with appropriate antibiotics and 1 mM IPTG and cultured at 37 °C for 20 h. The capsules were washed by PBS before administrated to the mice by gavage. Around 25,000 capsules were administrated to each mouse. The mice were anaesthetized and imaged at different time points by an IVIS Lumina III In Vivo Imaging System. We have complied with all relevant ethical regulations during the animal experiments.
Modification on the surface of the capsules by layer-by-layer (LbL) coating technique
375 μL capsules were washed first with PBS, and then incubated in 1.5 mL alginate solution (0.1%/(w/v)) for 15 min with gentle shaking. The resultant capsules were centrifuged, collected, washed again with PBS, and then incubated in 1.5 mL chitosan solution (0.4%/(w/v)) with gentle shaking for another 15 min. The resultant capsules were washed again with PBS and collected.
Treatment on mice with various capsules and feces samples collection
To fabricate living Bla sIPN capsules, 1.67 mL overnight culture of NI (T3-Bla) and 0.33 mL overnight culture of NI (C3) were mixed, centrifuged, and re-suspended in 0.2 mL LB medium, and encapsulated into 2 mL chitosan solution. The capsules were cultured in M9 with appropriate antibiotics and 1 mM IPTG and cultured at 37 °C for 20 h. To fabricate living non-IPN capsules producing Bla, MC (C3) was replaced with MC (T3), while other procedures were the same. T3-Bla was purified and mixed with chitosan to generate capsules containing pure Bla.
Male BALB/c mice, aged 6 weeks, were obtained from The Vital River Laboratories (Beijing, CN). Mice were housed under standard conditions with a 12 h light–dark cycle at 20–26 °C (daily temperature difference <4 °C), humidity 40–70%, and free access to food (GB 14924.3-2010 feed formula) and water. We randomly divided 40 six-week-old BALB/c male mice into 4 groups (n = 10 for each group). The mice were kept in the animal facility for 1 week to stabilize the gut microbiome before antibiotics treatment. On day 0, feces samples were collected from all mice and used as a reference point. From days 1–3 (on each day), three different capsules (200 μL, ~25,000 capsules for each mouse) were fed (by oral gavage) to mice of groups 2–4 one hour before 5 mg of ampicillin was injected into each mouse through the tail vein.
To collect feces sample, individual mouse was placed in a clean empty cage according to the mouse number. The mouse was returned to the original feeding cage when sampling requirements are met. The fecal pellets were collected in cryopreservation tubes, snap-frozen in liquid nitrogen, and transferred to storage at −80 °C. All animal experiments were approved by the Institutional Animal Care and Use Committee at Shenzhen Institutes of Advanced Technology (permit number: SIAT-IACUC-191230-HCS-DL-A0979).
16S rRNA sequencing and data analysis
DNA extraction from the mice fecal was performed according to the instructions of the PowerFecal Pro DNA Kit (QIAGEN) and eluted in 100 μL elution buffer provided in the kit. The DNA content was quantified using NanoDrop 2000c (Thermo Scientific). Sequencing libraries were generated using NEBNext Ultra™ II DNA Library Prep Kit for Illumina (New England Biolabs, MA, USA) following manufacturer’s recommendations and index codes were added. The library quality was assessed on the Qubit 2.0 Fluorometer (Thermo Fisher Scientific, MA, USA). At last, the library was sequenced on an Illumina Nova6000 platform and 250 bp paired-end reads were generated (Guangdong Magigene Biotechnology Co., Ltd., Guangzhou, China).
Alignment and demultiplexing of raw 16S ribosomal RNA sequencing data was performed with QIIME2 (version 2019.7)47. Primers of the raw sequence data were cut with Cutadapt (via q2-cutadapt)48, followed by denoising, merged and removing chimera with DADA2 (via q2-dada2)49. All amplicon sequence variants (ASVs) from DADA2 were used to construct a phylogeny with fasttree2 (via q2-phylogeny)50. The taxonomy of ASVs was assigned by naïve_bayes classifier (via q2-feature-classifier)51 against the silva database (SILVA_138_SSURef_Nr99). The ASV table was normalized by the sample with the fewest sequence reads, and rare ASVs (<0.1% in relative abundance) were filtered out. Weighted UniFrac distance was calculated by the Vegan package in R (https://CRAN.R-project.org/package=vegan).
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The authors declare that the source data processed for figures generation in this study are available within the paper and its Supplementary files. Any additional information is available upon request. Source data are provided with this paper.
Code availability
The code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Roland, C. M. in Encyclopedia of Polymeric Nanomaterials (eds. Kobayashi, S. & Müllen, K.) (Springer, 2015).
Schwartz, M. Encyclopedia of Smart Materials (John Wiley & Sons, Inc., 2002).
Thomas, S. et al. Micro- and Nano-Structured Interpenetrating Polymer Networks: From Design to Applications (John Wiley & Sons, Inc., 2016).
Yamazawa, Y. et al. Bioinactive semi-interpenetrating network gel layers: zwitterionic polymer chains incorporated in a cross-linked polymer brush. J. Mater. Chem. B 7, 4280–4291 (2019).
Chen, X., Li, W., Zhong, W., Lu, Y. & Yu, T. pH sensitivity and ion sensitivity of hydrogels based on complex-forming chitosan/silk fibroin interpenetrating polymer Network. J. Appl. Polym. Sci. 65, 2257–2262 (1997).
Lv, S., Liu, M., Ni, B. & Gao, C. A novel pH- and thermo-sensitive PVP/CMC semi-IPN hydrogel: swelling. Phase Behav., Drug Release Study J. Polym. Sci. Part B Polym. Phys. 48, 1749–1756 (2010).
Suo, H. et al. Interpenetrating polymer network hydrogels composed of chitosan and photocrosslinkable gelatin with enhanced mechanical properties for tissue engineering. Mater. Sci. Eng. C. Mater. Biol. Appl. 92, 612–620 (2018).
Xue, J., Liu, L., Liao, J., Shen, Y. & Li, N. Semi-interpenetrating polymer networks by azide-alkyne cycloaddition as novel anion exchange membranes. J. Mater. Chem. A 6, 11317–11326 (2018).
Datta, S., Christena, L. R. & Rajaram, Y. R. Enzyme immobilization: an overview on techniques and support materials. 3 Biotech 3, 1–9 (2013).
Homaei, A. A., Sariri, R., Vianello, F. & Stevanato, R. Enzyme immobilization: an update. J. Chem. Biol. 6, 185–205 (2013).
Spicer, C. D. & Davis, B. G. Selective chemical protein modification. Nat. Commun. 5, 4740 (2014).
Krall, N., da Cruz, F. P., Boutureira, O. & Bernardes, G. J. L. Site-selective protein-modification chemistry for basic biology and drug development. Nat. Chem. 8, 102–112 (2016).
Wals, K. & Ovaa, H. Unnatural amino acid incorporation in E. coli: current and future applications in the design of therapeutic proteins. Front. Chem. 2, 15 (2014).
Veggiani, G. et al. Programmable polyproteams built using twin peptide superglues. Proc. Natl Acad. Sci. USA 113, 1202–1207 (2016).
Veggiani, G., Zakeri, B. & Howarth, M. Superglue from bacteria: unbreakable bridges for protein nanotechnology. Trends Biotechnol. 32, 506–512 (2014).
English, M. A. et al. Programmable CRISPR-responsive smart materials. Science 365, 780–785 (2019).
Sun, F., Zhang, W. B., Mahdavi, A., Arnold, F. H. & Tirrell, D. A. Synthesis of bioactive protein hydrogels by genetically encoded SpyTag-SpyCatcher chemistry. Proc. Natl Acad. Sci. USA 111, 11269–11274 (2014).
Yang, X. et al. A genetically encoded protein polymer for uranyl binding and extraction based on the SpyTag-SpyCatcher chemistry. ACS Synth. Biol. 7, 2331–2339 (2018).
Zhang, Y. N. et al. A highly elastic and rapidly crosslinkable elastin-like polypeptide-based hydrogel for biomedical applications. Adv. Funct. Mater. 25, 4814–4826 (2015).
Cao, Y. et al. Programmable assembly of pressure sensors using pattern-forming bacteria. Nat. Biotechnol. 35, 1087 (2017).
Chen, A. et al. Synthesis and patterning of tunable multiscale materials with engineered cells. Nat. Mater. 13, 515–523 (2014).
Zhong, C. et al. Strong underwater adhesives made by self-assembling multi-protein nanofibres. Nat. Nanotechnol. 9, 858–866 (2014).
Marguet, P., Tanouchi, Y., Spitz, E., Smith, C. & You, L. Oscillations by minimal bacterial suicide circuits reveal hidden facets of host-circuit physiology. PLoS ONE 5, e11909 (2010).
Zakeri, B. et al. Peptide tag forming a rapid covalent bond to a protein, through engineering a bacterial adhesin. Proc. Natl Acad. Sci. USA 109, E690–E697 (2012).
Reddington, S. C. & Howarth, M. Secrets of a covalent interaction for biomaterials and biotechnology: SpyTag and SpyCatcher. Curr. Opin. Chem. Biol. 29, 94–99 (2015).
Gu, Z. et al. Glucose-responsive microgels integrated with enzyme nanocapsules for closed-loop insulin delivery. Acs Nano 7, 6758–6766 (2013).
Dai, Z. et al. Versatile biomanufacturing through stimulus-responsive cell-material feedback. Nat. Chem. Biol. 15, 1017 (2019).
Leekha, S., Terrell, C. L. & Edson, R. S. General principles of antimicrobial therapy. Mayo Clin. Proc. 86, 156–167 (2011).
Kaleko, M. et al. Development of SYN-004, an oral beta-lactamase treatment to protect the gut microbiome from antibiotic-mediated damage and prevent Clostridium difficile infection. Anaerobe 41, 58–67 (2016).
Tarkkanen, A. et al. P1A recombinant beta-lactamase prevents emergence of antimicrobial resistance in gut microflora of healthy subjects during intravenous administration of ampicillin. Antimicrobial Agents Chemother. 53, 2455–2462 (2009).
Langdon, A., Crook, N. & Dantas, G. The effects of antibiotics on the microbiome throughout development and alternative approaches for therapeutic modulation. Genome Med. 8, 39 (2016).
Kamada, N., Seo, S., Chen, G. & Nunez, G. Role of the gut microbiota in immunity and inflammatory disease. Nat. Rev. Immunol. 13, 321–335 (2013).
Rashid, M. U., Weintraub, A. & Nord, C. E. Effect of new antimicrobial agents on the ecological balance of human microflora. Anaerobe 18, 249–253 (2012).
Britton, R. A. & Young, V. B. Role of the intestinal microbiota in resistance to colonization by Clostridium difficile. Gastroenterology 146, 1547–1553 (2014).
Harmoinen, J. et al. Orally administered targeted recombinant beta-lactamase prevents ampicillin-induced selective pressure on the gut microbiota: a novel approach to reducing antimicrobial resistance. Antimicrobial Agents Chemother. 48, 75–79 (2004).
Harmoinen, J. et al. Enzymic degradation of a beta-lactam antibiotic, ampicillin, in the gut: a novel treatment modality. J. Antimicrob. Chemother. 51, 361–365 (2003).
Truong-Le, V., Lovalenti, P. M. & Abdul-Fattah, A. M. Stabilization challenges and formulation strategies associated with oral biologic drug delivery systems. Adv. Drug Deliv. Rev. 93, 95–108 (2015).
Mateo, C., Palomo, J. M., Fernandez-Lorente, G., Guisan, J. M. & Fernandez-Lafuente, R. Improvement of enzyme activity, stability and selectivity via immobilization techniques. Enzym. Micro. Tech. 40, 1451–1463 (2007).
Schoene, C., Fierer, J., Bennett, S. & Howarth, M. SpyTag/SpyCatcher cyclization confers resilience to boiling on a mesophilic enzyme. Angew. Chem.-Int. Ed. 53, 6101–6104 (2014).
Drawz, S. M. & Bonomo, R. A. Three decades of beta-lactamase inhibitors. Clin. Microbiol. Rev. 23, 160–201 (2010).
Hwang, I. Y. et al. Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models. Nat. Commun. 8, 15028 (2017).
Mimee, M. et al. An ingestible bacterial-electronic system to monitor gastrointestinal health. Science 360, 915–918 (2018).
Lozupone, C., Lladser, M. E., Knights, D., Stombaugh, J. & Knight, R. UniFrac: an effective distance metric for microbial community comparison. ISME J. 5, 169–172 (2011).
Gilbert, C., Howarth, M., Harwood, C. R. & Ellis, T. Extracellular self-assembly of functional and tunable protein conjugates from Bacillus subtilis. ACS Synth. Biol. 6, 957–967 (2017).
Lee, K. Y. & Mooney, D. J. Alginate: properties and biomedical applications. Prog. Polym. Sci. 37, 106–126 (2012).
Pescosolido, L. et al. In situ forming IPN hydrogels of calcium alginate and dextran-HEMA for biomedical applications. Acta Biomater. 7, 1627–1633 (2011).
Bolyen, E. et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37, 852–857 (2019).
Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 17, 10–12 (2011).
Callahan, B. J. et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).
Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2-approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010).
Bokulich, N. A. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome 6, 90 (2018).
Acknowledgements
We thank Tatyana A. Sysoeva and Nan Luo for insightful comments and suggestions. We thank Yixuan Chen, Ying Wang, Runtao Zhu, Xi Zhang, Weiqi Lu, Jing Sun, and Yang Zhao for help in experimental setup during the manuscript revision. We thank Testing Technology Center of Materials and Devices, Tsinghua Shenzhen International Graduate School for TEM instrument usage. This study was partially supported by National Key Research and Development Program of China No. 2018YFA0903000 and No. 2020YFA0908100 (the two grants provide equal support, Z.D.), No. 2019YFA09006700 (L.D.), the U.S. Army Research Office under grant #W911NF-14-1-0490 (L.Y.), National Institutes of Health (L.Y.: 2R01-GM098642, 1RO1AI25604), a David and Lucile Packard Fellowship (L.Y.), Shenzhen Peacock Team Project (KQTD20180413181837372) (Z.D.), National Natural Science Foundation of China No. 32071427 (Z.D.), No. 31971513 (L.D.).
Author information
Authors and Affiliations
Contributions
Z.D. conceived the research, designed and performed experiments, interpreted the results, and wrote the manuscript. X.Y. assisted in performing experiments, data interpretation, and manuscript revisions. F.W. assisted in analyzing 16s sequencing data and manuscript revisions. L.W., K.X., and Q.L. assisted in animal experimental setup, data interpretation, and manuscript revisions. P.L. assisted in the experimental setup during the manuscript revision. J.T. and A.D. assisted in analyzing 16s sequencing data and manuscript revisions. L.D. assisted in research design, experimental setup, data interpretation, and manuscript revisions. X.S. assisted in research design, experimental setup, data interpretation, and manuscript revisions. L.Y. conceived the research, assisted in research design, data interpretation, and manuscript writing.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Source data
Rights and permissions
Open Access This article 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 http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Dai, Z., Yang, X., Wu, F. et al. Living fabrication of functional semi-interpenetrating polymeric materials. Nat Commun 12, 3422 (2021). https://doi.org/10.1038/s41467-021-23812-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-021-23812-7
This article is cited by
-
Accelerating the design of pili-enabled living materials using an integrative technological workflow
Nature Chemical Biology (2024)
-
Applications of synthetic biology in medical and pharmaceutical fields
Signal Transduction and Targeted Therapy (2023)
-
Tough Semi-interpenetrating Polyvinylpyrrolidone/Polyacrylamide Hydrogels Enabled by Bioinspired Hydrogen-bonding Induced Phase Separation
Chinese Journal of Polymer Science (2023)
-
Bioresource Upgrade for Sustainable Energy, Environment, and Biomedicine
Nano-Micro Letters (2023)
-
Engineering consortia by polymeric microbial swarmbots
Nature Communications (2022)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.