This paper presents a series of protocols for developing engineered cells and functionalized surfaces that enable synthetically engineered E. coli to control and manipulate programmable material surfaces.
We have developed an abiotic-biotic interface that allows engineered cells to control the material properties of a functionalized surface. This system is made by creating two modules: a synthetically engineered strain of E. coli cells and a functionalized material interface. Within this paper, we detail a protocol for genetically engineering selected behaviors within a strain of E. coli using molecular cloning strategies. Once developed, this strain produces elevated levels of biotin when exposed to a chemical inducer. Additionally, we detail protocols for creating two different functionalized surfaces, each of which is able to respond to cell-synthesized biotin. Taken together, we present a methodology for creating a linked, abiotic-biotic system that allows engineered cells to control material composition and assembly on nonliving substrates.
Here, we report the procedures for developing a programmable substrate capable of responding to a chemical signal from an engineered cell line.1 We do this by creating a biotin-streptavidin interface that responds to biotin produced by synthetically engineered Escherichia coli (E. coli) cells. Previously, programmable surfaces have been engineered for a wide range of applications from toxin detection2 and point-of-care diagnosis3 to defense and security.4 While programmable surfaces can be useful as sensors and actuators, they can be made "smarter" by endowing them with the ability to adapt to different environmental challenges. In contrast, even simple microorganisms, such as E. coli, have inherent adaptability and are capable of responding to challenges with sophisticated and often unexpected solutions. This adaptability has enabled E. coli populations, controlled by their complex gene networks, to cost-effectively seek resources,5 create value-added products,6 and even power micro-scale robotics.7 By coupling the adaptive advantages of living cells with the use of programmable surfaces, we can create a smart substrate capable of responding to different environmental conditions.
Synthetic biology has given researchers new abilities to program the behavior of living organisms. By engineering cells to contain new gene regulatory networks, researchers can design cells that exhibit a range of programmed behaviors.8,9 Beyond basic research, these behaviors may be used for applications such as controlling material assembly and biologically producing value-added products.10 Herein, we detail how we used the tools of synthetic biology to engineer an E. coli strain that synthesizes biotin upon induction. This strain was developed by using restriction enzyme cloning methods to assemble a plasmid, pKE1-lacI-bioB. This plasmid, when transformed into E. coli strain K-12 MG1655, endows cells with the ability to express elevated levels of bioB, an essential enzyme for biotin synthesis. When transformed cells were induced with isopropyl β-D-1-thiogalactopyranoside (IPTG) and provided with a biotin precursor, desthiobiotin (DTB), elevated levels of biotin were produced.
Biotin's binding interaction with streptavidin is one of the strongest non-covalent bonds found in nature. As such, the biotin-streptavidin interaction is both well-characterized and highly employed in biotechnology.11 Within this manuscript, we present two strategies employing the biotin-streptavidin interaction to sense and detect cell-produced biotin with a functionalized surface. We refer to these contrasting surfaces as "indirect" and "direct" control schemes. In the indirect control scheme, cell-produced biotin competes with biotin that has been conjugated and immobilized on a polystyrene surface for streptavidin binding sites. In addition, the streptavidin is conjugated with horseradish peroxidase (HRP). HRP modifies 3, 3', 5, 5'-tetramethylbenzidine (TMB), to produce an optical signal,12 which may be monitored by quantifying the spectral absorbance (i.e., optical density) at 450 nm (OD450). Thus, the indirect control scheme allows researchers to measure cell-produced biotin by monitoring the attentuation of the OD450 signal.
The direct control scheme exploits the streptavidin-biotin event by immobilizing streptavidin directly to a material surface and allowing cell-produced biotin and biotinylated HRP to compete for streptavidin binding sites. Again, the relative levels of cell-produced biotin are monitored by measuring an OD450 signal.
Taken together, the engineered cells and functionalized surfaces allow us to control the properties of a programmable surface by inducing networks in living cells. In other words, we have created a system that takes advantage of the adaptability of living organisms and the reliability and specification of an engineered material interface by linking these systems together.
1. Media and Culture Preparation
2. Generation of Biotin Producing E. coli (Plasmid pKE1-lacI-bioB)
NOTE: The genetic circuit contains two parts: a lacI repressor, driven by a PL,tetO-1 promoter resulting in constitutive expression due to the absence of a tetR repressor protein, as well as a biotin expression system containing the Ptrc-2 promoter followed by a strong ribosome binding site (rbs) driving expression of bioB. All cloning was executed in a commercial, rapidly dividing E. coli strain. The final construct was transformed into E. coli MG1655WT for testing. Primers (Table 2) were purchased commercially.
3. Cell Characterization: Growth Curve and Dose Response
4. Inducing Biotin Production from Engineered Cells and Supernatant Preparation
5. Indirect Control Scheme Functionalized Surface Preparation
6. Direct Control Scheme Functionalized Surface Preparation
Representative results are presented in the accompanying five figures. First, we present the cloning process graphically (Figure 1) so that the reader can visually follow the critical steps for creating the synthetically engineered E. coli strain. In order to characterize the population dynamics of the cells, we provide a growth curve (Figure 2) generated by measuring the optical density at 600 nm (OD600) of the population. Then, we show how the regulatory gene network is verified, by using mCherry as a proxy for bioB (Figure 3), allowing us to optically measure the relative amount of bioB that would be produced by the cell upon induction with IPTG. Next, we present response data for the indirect-control and direct-control functionalized surfaces. These data plots (Figure 4) were developed by using measured solutions of free biotin to characterize the functionalized surfaces' response profiles. Finally, we present characteristic data showing how the engineered cells are induced to produce biotin (Figure 5), thereby modifying the functionalized surfaces.
Figure 1: Design and Construction of Inducible, Engineered Cells. (A) Primers were designed to isolate the bioB gene from the E. coli genome, which encodes a crucial enzyme in the biotin synthesis pathway. (B) The PL,tetO-1-lacI and Ptrc-2 sequences can be isolated from a plasmid containing a genetic toggle switch with corresponding primers. (C) The extracted bioB gene and the two fragments from the toggle switch can then be used to create the gene circuit. The addition of IPTG can then induce the expression of bioB and thereby biotin synthesis when DTB is added as a substrate for bioB. (D) The assembled plasmid was transformed into K-12 MG1655 E. coli. This caused the presence of IPTG to induce the expression of bioB and thereby biotin synthesis by the engineered cell line when DTB was provided as a substrate. Please click here to view a larger version of this figure.
Figure 2: Growth Curves for Engineered Cells. The engineered, inducible MG1655 wild-type cells were grown and monitored in minimal media (i.e., biotin-free M9 media), as well as minimal media supplemented with DTB (200 ng/mL) and/or IPTG (0.5 mM). The plots show the OD600 reading, measured every 5 min for 24 h. Please click here to view a larger version of this figure.
Figure 3: Testing the Engineered Gene Network. The fluorescent protein mCherry was used in place of the bioB gene so that we could optically measure the induction profile when engineered cells were induced with IPTG. We contrast the cells induced with IPTG (red diamonds) with the cells not induced with IPTG (blue diamonds). These results demonstrate the efficacy of the inducible gene network. Please click here to view a larger version of this figure.
Figure 4: Verification of the Functionalized Material Interface. By exposing our functionalized surface to varying concentrations of biotin, we are able to measure the optical response by measuring OD450 absorbance. These results allow us to generate a calibration curve, linking the concentration of biotin to the optical intensity of the response. Here, we present the biotin vs. optical signal curves for both the indirect (left) and direct (right) functionalized surface schemes. Please click here to view a larger version of this figure.
Figure 5: Engineered Cells Control Material Interface. By utilizing protocol sections 5 or 6, we are able to use the products of induced, engineered cells to chemically modify the functionalized surface. We can monitor these responses optically by measuring OD450. Furthermore, by using the calibration curve developed in Figure 4, we can link the optical intensity of the response to the biotin within the concentration. We present here the different biotin concentrations, measured by our indirect control scheme functionalized surface, for wild-type cells (white), uninduced cells containing the pKE1-lacI-bioB plasmid (orange), and induced cells containing the pKE1-lacI-bioB plasmid (grey). Please click here to view a larger version of this figure.
Chemical | Final Concentration | Amount |
5x M9 salts | 1x | 20 mL |
1 M MgSO4 | 2 mM | 200 μL |
1 M CaCl2 | 0.1 mM | 10 μL |
20% glucose | 0.40% | 2 mL |
2% biotin-free Casamino acid | 0.02% | 1 mL |
DI Water | N/A | 76.8 mL |
Table 1: M9 Media Recipe.
Name | Primer Sequence | Usage | |
1-f | CCGCCGGAATTCTCCCTATCAGTGATAGAGATT | lacI cassette extraction | |
1-r | CCGACGTCTCACTGCCCGCTTTCCAGTC | lacI cassette extraction | |
nBioB1-f | CCCAAGCTTCTGAAATGAGCTGTTGACAATTAATCAT | Ptrc-2 extraction | |
nBioB1-r | GGGGGGTTCTTTTAATAAAGGTACCGTGTGAAATTGTT | Ptrc-2 extraction | |
nBioB2-f1 | ACCCCCCTAAGGAGGTCATCATGGCTCACCGCCCACG | bioB extraction | |
nBioB2-r | TCCCCGCGGTCATAATGCTGCCGCGTTGTAATATTC | bioB extraction | |
nBioB2-f2 | ACGGTACCTTTATTAAAAGAACCCCCCTAAGGAGGTCATC | Synthetic RBS addition |
Table 2: List of Primers.
Step 1 | Step 2 | Step 3 | Step 4 | Step 5 | Step 6 | Step 7 | Step 8 | Step 9 |
98°C | 98°C | 70°C | 72°C | 98°C | 60°C | 72°C | 72°C | 4°C |
0:30 | 0:10 | 0:30 | 01:00/kb | 0:10 | 0:30 | 01:00/kb | 2:00 | ∞ |
Repeat 12 times | Repeat 25 times | |||||||
-1°C / cycle |
Table 3: PCR Program.
Name | Volume |
Cell Lysate (template) | 10 μL |
Primer (each) | 0.625 μL (each) |
5x Q5 buffer | 5 μL |
Q5 Polymerase | 0.25 μL |
dNTP Mix | 0.5 μL |
DI Water | 6.75 μL |
Table 4: Whole Cell PCR Reaction (25 µL).
Name | Volume |
10x Reaction buffer | 5 µL |
Enzyme 1 | 1 μL |
Enzyme 2 | 1 μL |
Template DNA | 1 µg |
DI Water | 43 µL – volume of DNA |
Table 5: Restriction Enzyme Digestion Reaction (50 µL).
Name | Volume |
DNA | 50 μg vector + X μg insert |
10x Ligase Buffer | 1 μL |
T4 Ligase | 1 μL |
DI Water | 8 µL – volume of DNA |
Table 6: Ligation Reaction (10 µL).
Name | Concentration | Notes |
CaCl2 | 100 mM | |
Carbeniccilin | 50 mg/mL (1000x) | |
DTB | 50 μg/mL | |
IPTG | 0.5 M | |
SMCC | 20 mg/mL | 2 mg into 100uL DMSO |
SPDP | 20 mg/mL | 2 mg into 100uL DMSO |
LC-LC-biotin | 20 mg/mL | 2 mg into 100uL DMSO |
HRP | 10 mg/mL | In PBS |
SA (indirect) | 10 mg/mL | In PBS |
SA (direct) | 0.17 μg/mL | In PBS |
BSA | 20 mg/mL | In PBS |
DTT | 100mM | In DI Water |
EDTA | 5 mM | 18.6 mg into 10 mL PBS |
Casein | 0.50% | In PBS |
Tween 80 | 20% | In DI Water |
Tween 80 in PBS | 0.05% | |
Sodium Acetate | 50 mM | In DI Water, Adjust to 5.1 pH using 3 M HCl |
TMB | 1% | In DMSO |
H2O2 | 3% | In DI Water |
H2SO4 | 2 M | In DI Water |
Table 7: List of Reagent Solutions.
We have presented a new strategy for interfacing engineered living cells with a functionalized material surface. This was accomplished by developing a cell line capable of synthesizing elevated levels of biotin when induced with IPTG. The elevated levels of biotin may then be used to modify the functionalized surface. The protocols detailed how to engineer the E. coli cell line and how to create two different functionalized surfaces.
Critical steps in this protocol occur throughout the construction of the engineered cell line. To avoid downstream issues, characterizing the engineered cell strains with both growth curves (Figure 2) and fluorescent response (Figure 3) is encouraged. Should procedural issues arise, other molecular cloning strategies, such as PCR extraction and Gibson assembly14, may be substituted for steps where appropriate. For optimizing the biotin yield of the engineered cell line, it is crucial to ensure that a sufficient amount of DTB is provided to the cells. In our studies, we found that 200 ng/mL DTB elicited a substantial and statistically significant increase in biotin production when cells were induced with IPTG. Additionally, successful conjugation of BSA-Biotin, SA-HRP, and Biotin-HRP is crucial for effectively performing and monitoring the indirect and direct control schemes. Take care to avoid unnecessary exposure to light and allow the conjugates to incubate overnight at 4 °C to ensure an effective conjugate is formed.
Our protocol offers advantages over alternative methods15 due to its ability to detect small quantities of biotin that are biologically relevant (pg/mL scale) compared to commercially available biotin detection kits, such as those based on 4'-hydroxyazobenzene-2-carboxylic acid competitive binding strategies. Although using the streptavidin-biotin system is common in biotechnology16,17, our system's ability to respond to small quantities of biotin allows us to directly link our genetically engineered cell line with the functionalized surface.
One potential limitation of our protocol is the resulting dynamic range of biotin detection. In the indirect and direct control schemes, we are able to detect biotin between 102-103 and 104-106 pg/mL, respectively (Figure 4). Fortunately, the low range of the indirect control scheme allows us to readily detect biotin production from engineered cells. However, the tight band of the indirect control dynamic range limits its ability to sense large changes (100-fold) in biotin concentrations. Altering the dynamic range for both the indirect and direct control schemes would require additional engineering. However, if detection of cell-produced biotin is an issue, preparing dilutions of the biotin supernatant in step 4.6 should allow the researcher to target the dynamic range of the indirect control scheme (Figure 5). We found that a 1:5 dilution of the supernatant allowed us to target the indirect control scheme's dynamic range effectively. This dilution strategy should alleviate the need to modify the dynamic range directly.
The two-part, cell-material system presented here allows engineered cells to modify the composition of a functionalized surface. Dynamic, living cells can interpret their chemical surroundings to produce a genetic response. By engineering this genetic response to increase biotin production, we can endow engineered living cells with the ability to control and manipulate a functionalized surface. By following the protocols presented, engineered cells are able to act as dynamic sensors, capable of reading, processing, and recording the conditions around them via functionalized interfaces. This technology could impact fields ranging from molecular medicine to analyte detection for environmental remediation.
The authors have nothing to disclose.
The authors gratefully acknowledge support from award FA9550-13-1-0108 from the Air Force Office of Scientific Research of the USA. The authors additionally acknowledge support from award N00014-15-1-2502 from the Office of Naval Research of the USA, funding from the Institute for Critical Technology and Applied Science at Virginia Polytechnic Institute and State University, and from the National Science Foundation Graduate Research Fellowship Program, award number 1607310.
LB Broth, Miller | Fisher Scientific | 12-795-027 | |
Agar | Fisher Scientific | BP9744500 | |
Carbenicillin | Fisher Scientific | BP26481 | |
M9, Minimimal Salts, 5X | Sigma-Aldrich | M6030 | |
Casamino Acids | Fisher Scientific | BP1424-100 | |
Magnesium Sulfate, Anhydrous | Fisher Scientific | M65-500 | |
Calcium Chloride, Dihydrate | Fisher Scientific | C79-500 | |
Dextrose (D-Glucose), Anhydrous | Fisher Scientific | D16-1 | |
NEB Turbo Cell Line | New England Biolabs | C2984l | |
Oligonucleotide Primers | Thermo Fisher Scientific | N/A | 25N synthesis, DSL purification |
Q5 High-Fidelity Polymerase | New England Biolabs | M0491S | |
Q5 Reaction Buffer | New England Biolabs | B9027S | |
dNTP Solution Mix | New England Biolabs | N0447S | |
Agarose | Bioexpress | E-3120-125 | |
Ethidium Bromide, 1% | Fisher Scientific | BP1302-10 | |
Gel Extraction Kits | Epoch Biolabs | 2260250 | |
GenCatch Plasmid DNA Miniprep Kit | Epoch Biolabs | 2160250 | |
AatII | New England Biolabs | R0117S | |
SacII | New England Biolabs | R0157S | |
HindIII-HF | New England Biolabs | R3104S | |
EcoRI-HF | New England Biolabs | R3101S | |
Cutsmart Buffer | New England Biolabs | B7204S | |
T4 DNA Ligase | New England Biolabs | M0202S | |
T4 DNA Ligase Reaction Buffer | New England Biolabs | B0202S | |
ColiRolle Glass Plating Beads | EMD Millipore | 7101-3 | |
Glycerol | Fisher Scientific | BP229-1 | |
Isopropyl β-D-1-thiogalactopyranoside (IPTG) | Fisher Scientific | BP1755-10 | |
NHS-Desthiobiotin (DTB) | Thermo Fisher Scientific | 16129 | |
Succinimidyl Trans-4-(maleimidylmethyl) Cyclohexane-1-Carboxylate (SMCC) | Thermo Fisher Scientific | S1534 | |
Dimethyl Sulfoxide (DMSO) | Fisher Scientific | BP231-100 | |
Succinimidyl 3-(2-pyridyldithio) Propionate (SPDP) | Thermo Fisher Scientific | S1531 | |
NHS-LC-LC-biotin | Thermo Fisher Scientific | 21343 | |
Horseradish Peroxidase (HRP) | Thermo Fisher Scientific | 31490 | |
Phosphate Buffered Saline (PBS), 10X Solution | Fisher Scientific | BP399500 | |
Streptavidin (SA) | Thermo Fisher Scientific | 21145 | |
Bovine Serum Albumin (BSA) | Fisher Scientific | BP1600-100 | |
Dithiothreitol (DTT) | Fisher Scientific | BP172-5 | |
Ethylenediaminetetaacetic acid (EDTA) | Fisher Scientific | S311-500 | |
Tween 80 | Fisher Scientific | T164-500 | |
Hydrogen Peroxide | Fisher Scientific | H325-4 | |
3, 3', 5, 5'-tetramethylbenzidine (TMB) | Fisher Scientific | AC229280050 | |
Vivaspin 500 Centrifugal Concentrators | Viva Products | VS0192 | |
Sodium Acetate, Anhydrous | Fisher Scientific | BP333-500 | |
96-Well Polystyrene Plates | Thermo Fisher Scientific | 266120 |