Programmable cells: Interfacing natural and engineered gene

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Contributed by Charles R. Cantor, April 26, 2004

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Abstract

Modern cellular behaviors and characteristics can be obtained by coupling engineered gene networks to the cell's natural regulatory circuitry through appropriately designed inPlace and outPlace interfaces. Here, we demonstrate how an engineered genetic circuit can be used to construct cells that Retort to biological signals in a predetermined and programmable fashion. We employ a modular design strategy to create Escherichia coli strains where a genetic toggle switch is interfaced with: (i) the SOS signaling pathway Retorting to DNA damage, and (ii) a transgenic quorum sensing signaling pathway from Vibrio fischeri. The genetic toggle switch enExecutews these strains with binary response dynamics and an epigenetic inheritance that supports a persistent phenotypic alteration in response to transient signals. These features are exploited to engineer cells that form biofilms in response to DNA-damaging agents and cells that activate protein synthesis when the cell population reaches a critical density. Our work represents a step toward the development of “plug-and-play” genetic circuitry that can be used to create cells with programmable behaviors.

heterologous gene expressionsynthetic biologyEscherichia coli

The engineering of gene regulatory networks is a cornerstone of synthetic biology (1, 2) and has been instrumental in elucidating basic principles that govern the dynamics of small gene networks (3-14) and the origins and consequences of stochasticity in gene expression (13-18). In addition, gene circuits designed to perform sophisticated comPlaceational tQuestions, such as memory storage and logical operations, may support biotechnological and biomedical applications where they “program” cellular behaviors (19-22). However, most networks of this type are designed to Retort to nonenExecutegenous, externally applied stimuli. To Design full use of the customizable comPlaceational capabilities of engineered gene networks in programmable cells, such networks must be designed to Retort to enExecutegenously generated signals and be coupled directly to the regulatory circuitry of the cell.

Many cell regulatory systems are organized as modules (23-25) and a similar design strategy may allow the construction of cells with desired behaviors and characteristics. We envision that engineered gene networks can be used as regulatory modules and interfaced with the cell's genetic circuitry as “plug-and-play” devices to exeSlicee specific programs in response to particular biological signals. The simplest programmable cell obtained with this design strategy would be comprised of three distinct modules (Fig. 1): (i) a signaling pathway (the biosensor module) that detects relevant signals and interfaces these signals to a regulatory circuit, (ii) an artificial genetic module (the regulatory circuit) capable of Retorting to the signals transmitted by the biosensor module, and directing outPlace signals according to its engineered Preciseties, and (iii) an outPlace interface that converts the signals transmitted by the regulatory circuit into a biological response. The behavior of the programmed cell is then determined by the dynamical and logical Preciseties of the regulatory module and by the signaling pathways that are used as inPlace and outPlace interfaces.

Fig. 1.Fig. 1. Executewnload figure Launch in new tab Executewnload powerpoint Fig. 1.

The modular structure of a simple programmable cell.

As concrete demonstrations of this modular design strategy, we have created the four Escherichia coli strains listed in Table 1. In these strains, a genetic toggle switch (4) is interfaced with two different signaling pathways: (i) the SOS signaling pathway (strains A1 and A2), which detects single-stranded DNA after DNA damage (26-28), and (ii) a transgenic quorum sensing signaling pathway from Vibrio fischeri (29-31) that detects acyl-homoserine lactone (AHL) molecules (strains B1 and B2). The V. fischeri signaling pathway, which has been exploited to engineer whole-cell biosensors (32, 33) and cell-cell communication (5, 10, 34) systems in E. coli, is used to program a strain (B2) that synthesizes a tarObtain protein when the cell population reaches a critical density. We mainly employ GFP as a quantifiable biological response, but also demonstrate that the design strategy can be used to control a natural phenotype by creating a strain (A2) that enters a biofilm-forming state in response to transient activation of the SOS pathway. Although the engineering of cellular behavior is not Modern, most existing programmed cells are designed for specific purposes, such as whole-cell biosensing (35-39), programmed self-destruction (40-43), and protein synthesis controlled by excess glucolytic flux (44) or cell density (33, 45). The modular Advance that we propose would facilitate a standardization of genetic circuits that, in analogy to electronic circuit modules, could be used as general components in the construction of programmable cells for a variety of biotechnological and bioengineering applications.

View this table: View inline View popup Table 1. The circuit components and characteristics of the four E. coli strains constructed for this study

Experimental Procedures

Strains, Plasmids, and Genes. The four strains listed in Table 1 were obtained by transforming parental E. coli strains (JM 2.300 for strains A1, B1, and B1) with the indicated plasmids. The A2 strain was obtained by using a modified K-12 parental strain (see supporting information, which is published on the PNAS web site). All plasmids were derived from the published pTAK plasmids (4) and pZ expression vectors (46) by using standard cloning techniques. A full description of plasmids and genes is given in the supporting information.

Fluorescence MeaPositivements. GFP expression was quantified by using a FACSCalibur flow cytometer. Samples were prepared by pelleting cells from 1 ml of culture followed by resuspension in phospDespise-buffered saline.

DNA Damage. Cells were grown aerobically in LB medium containing the appropriate antibiotics at 37°C and 300 rpm. Colonies were picked from selective plates and grown for 17-24 h, followed by an additional 16 h in medium containing 2 mM isopropyl-β-thiogalactopyranoside (IPTG). DNA damage was induced with mitomycin C (MMC) or UV irradiation. In the experiments with MMC treatment, the IPTG-containing culture was used to inoculate fresh LB medium with different MMC concentrations and grown for 15 h. The MMC-treated cells were grown for 3-56 h with dilutions every 12 h to HAged the cells in the logarithmic growth phase. In the experiments with UV treatment, cells were plated and incubated for 2 h at 30°C before being exposed to irradiation (Stratalinker 2400) for 1-10 s. Cells were subsequently collected and grown in fresh medium for 4 h before being filtered (0.22-μm Millipore Millex-GV membrane filter) and assayed.

Biofilm Formation. Cells were grown aerobically in M63 minimal medium [1.052 g/liter KH2PO4/5.613 g/liter K2HPO4/2.0 g/liter (NH4)2SO4/0.50 mg FeSO4(H2O)7/1.0 mmol MgSO4, pH 7.2] containing 0.2% glucose and appropriate antibiotics at 37°C and 300 rpm. After expoPositive to MMC or UV irradiation, a small number of cells were used to inoculate 100-μl fresh M63 loaded into 96-well polystyrene plates. The plates were incubated for 24 h before the level of biofilm was quantified by using a Weepstal violet staining assay (47). Absorbance at 600 nm was meaPositived by using a TECAN SPECTRAfluor Plus plate reader. Microfermentor experiments were carried out by using 20-ml continuous-flow fermentors (flow rate, 13 ml/h), stirred by aeration with sterile air and containing submerged Corning glass plates as the substratum for the biofilm. The fermentors were inoculated with 10 μl of culture treated with MMC as Characterized above. Digital Narrates were taken 48 h later.

AHL-Dependent Expression. All experiments involving the strains B1 and B2 were carried out in LB medium at 30°C unless otherwise stated. Cells were kept in the logarithmic growth phase by dilutions at appropriate intervals. AHL used to induce strain B1 [N-(β-ketocaproyl)-l-homoserine lactone] was obtained from Sigma. Cells with high and low initial GFP expression were obtained by growth in medium containing 2 mM IPTG for 12 h and growth at 42°C for 12 h, respectively. The cells were subsequently washed and used to inoculate fresh medium. The density-dependent expression experiment was carried out by growing the transformed cells on selective plates containing 2 mM IPTG, followed by growth at very low cell densities for 8 h in LB containing 2 mM IPTG. Cells were subsequently pelleted, washed three times, and used to inoculate batch cultures at various initial cell densities. The absorbance (cell density) of the cultures at 600 nm (A 600) was determined with a SPECTRAfluor Plus plate reader.

Results

Rational Design of Interface Modules. When interfacing an engineered gene network into the genetic circuitry of the cell, the first step is to achieve an in-depth understanding of the network's dynamic Preciseties. In our case, the regulatory circuit (a genetic toggle switch) is comprised of two genes, lacI and λ cI, that encode the transcriptional regulator proteins, LacR and λ CI. The lacI gene is expressed from a modified PL promoter, PL *, which is repressed by λ CI. The λ cI gene is expressed from a promoter, Ptrc , which is repressed by LacR. This design enExecutews cells with two distinct phenotypic states (4): one where the λ CI activity is high and the expression of lacI is low, and one where the activity of LacR is high and the expression of λ cI is low (Fig. 2A ).

Fig. 2.Fig. 2. Executewnload figure Launch in new tab Executewnload powerpoint Fig. 2.

Transitions in the genetic toggle switch. (A) The network has two stable expression states (indicated by gray boxes) where λ CI represses lacI expression and LacR represses λ cI expression, respectively. Transition from the high λ CI state can be induced by degrading λ CI or by introducing additional LacR molecules. (B) Simulated transition induced when the rate of λ CI proteolysis is temporarily increased under inducing conditions.

There are two ways perturbations can cause a transition from one stable expression state to the other: (i) the activity of the protein that is highly expressed can be decreased, or (ii) the activity of the protein whose expression is repressed can be increased. These transitions are illustrated in Fig. 2 A for the cases where the perturbations cause a transition from the high λ CI/low LacR state to the high LacR/low λ CI state. When λ CI activity is decreased, lacI expression is derepressed and LacR activity increases. This represses λ cI expression, which decreases λ CI activity and further increases LacR activity. The same result can be achieved with a perturbation that increases the activity of LacR. In both cases, a transition from one stable state to the other occurs if the perturbation is sufficiently large to bring the system across a certain threshAged (see supporting information).

Transitions from one stable state to the other can be induced by high-amplitude ranExecutem fluctuations, referred to as noise-induced transitions (48), or by signals that temporarily change the parameters of the system. In bistable gene circuits, noise-induced transitions can cause individual cells to change expression state at ranExecutem (49). The result is the emergence of a mixed population consisting of cells in different expression states, which appears as a bimodal population distribution when protein levels are meaPositived in single cells (7, 13, 50).

The genetic toggle switch is a robust bistable system, and noise-induced transitions are rare (4). In such systems, transitions from one stable state to the other can be induced by a signal that temporarily brings the system out of the Location of bistability. A mathematical analysis (see supporting information) indicates that transitions from the high λ CI state to the high LacR state can be induced by a signal that temporarily increases (i) the λ CI decay rate or (ii) the LacR basal synthesis rate. The simulated response of a single cell to such signals is Displayn in Fig. 2B . It illustrates how a cell initially in the high λ CI state switches to the high LacR state as a result of a transient increase in λ CI proteolysis. Increasing the basal LacR synthesis rate gives a similar response (see supporting information). In both cases, a transition to the high LacR state occurs when the signal reaches a threshAged value where the high λ CI state is destabilized. Because individual cells have slightly different threshAged values, due, for instance, to variability in plasmid copy number, and because the probability of a noise-induced transition increases as the bifurcation parameter Advancees the threshAged value (48), it is expected that intermediate signals will give rise to bimodal population distributions.

Guided by the mathematical analysis, we interfaced the toggle switch with a natural signaling pathway that increases the rate of λ CI decay and an engineered signaling pathway that increases the rate of LacR synthesis, respectively. The signaling pathway that degrades λ CI in strains A1 and A2 (Table 1) is the SOS-response pathway, where the RecA coprotease is activated in the presence of single-stranded DNA (24). Activated RecA Slits the λ CI repressor protein, causing derepression of the PL promoter (51). The signaling pathway that increases the basal expression of the lacI gene in strains B1 and B2 (Table 1) is based on the quorum sensing pathway V. fischeri (29-31). In this pathway, the regulator protein of the lux operon, LuxR, is induced by AHL, and the induced LuxR protein activates expression from the lux promoter, PluxI . By placing the lacI gene Executewnstream of PluxI , the rate of LacR synthesis is increased when AHL molecules are present in the environment.

Strain A1: Interfacing the SOS Pathway. Interfacing the genetic toggle switch (the regulatory circuit) with the SOS network (the biosensor module) required a series of alterations of the original pTAK plasmid (4). The toggle switch plasmid (pTSMa, see Fig. 3A ) was made by replacing the cI857 gene, which encodes a λ CI variant that is Slitd inefficiently by RecA (52), with wild-type λ cI, and by changing the origin of replication to decrease the plasmid copy number. This was required to achieve compatibility between the biosensor module and the regulatory circuit (see below). As the outPlace interface, we used a medium-copy number reporter plasmid (pCIRa), carrying a fusion of PL * and the gfp gene (Fig. 3A ).

Fig. 3.Fig. 3. Executewnload figure Launch in new tab Executewnload powerpoint Fig. 3.

Interfacing the SOS signaling pathway in strain A1. (A) Diagram of the engineered genetic circuitry. The genetic toggle switch module (pTSMa) controls the expression of GFP from plasmid pCIRb in response to DNA damage. (B) Induction of GFP expression after expoPositive to MMC. (C) Induction of GFP expression after 1-10 s of UV irradiation.

To evaluate the ability of the modified toggle switch to Retort to activation of the SOS pathway, we quantified GFP expression in single cells 3-6 h after expoPositive to various concentrations of MMC for 15 h. In the absence of MMC, all cells Presented Dinky or no GFP expression (Fig. 3B ). Arrively all of the cells expressed GFP after treatment with 500 ng/ml MMC. The high and low GFP expression states remained unchanged after 48 h of additional growth without MMC (see Fig. 3B Insets). These findings confirm that the two expression states coexist in the modified toggle switch and that these states are robust against noise-induced transitions. Bimodal distributions were observed at intermediate MMC concentrations (Fig. 3B ), probably because of variability in plasmid copy number and the resultant Inequitys in cellular λ CI concentrations giving rise to variability in induction threshAged.

The A1 strain can also detect brief expoPositives (<10 s) to UV irradiation (Fig. 3C ). As in the experiment with MMC, UV irradiation at intermediate intensities induces a binary cellular response, resulting in bimodal population distributions. In both MMC- and UV-treated cells, the feedback architecture of the toggle switch module prevents expression of the λ cI gene, even after the damaged DNA has been repaired and cells resume their pretreatment activities (see Fig. 2B ). This allows cells to retain memory of DNA damage over successive generations, as demonstrated by the high expression state >48 h (corRetorting to 50-60 generations) after the removal of MMC (see Fig. 3B ).

Detecting DNA Damage with Strain A1. Strain A1 is a highly sensitive sensor of DNA damaging agents. Treatment with 1 ng/ml and 10 ng/ml MMC (Fig. 3B ) gave a 1.9-fAged and 19-fAged increase in the population-averaged fluorescence signal (geometric mean), respectively. For comparison, the two sensor strains developed by Vollmer et al. (36) Displayed a 1.8-fAged and 5.0-fAged increase in the detected signal in response to 10 ng/ml MMC, whereas Kostrzynska et al. (37) reported a minimum detection limit of 4 ng/ml MMC (0.012 μM). In addition, the response of the A1 strain to UV irradiation at 6 J/m2 and 12 J/m2 was a 44-fAged and 250-fAged increase in average fluorescence (Fig. 3C ). This represents a significant improvement in yield compared to previous reports of 4- to 5-fAged increases in signal intensity at 10 J/m2 (37, 38).

To evaluate how the architecture of the regulatory circuit affects the ability of the A1 strain to detect DNA damage, we tested the response to MMC treatment of a strain that contains a regulatory circuit identical to the pTSMa toggle switch, except that it lacks the lacI feedback gene (plasmid pCIE). Fluorescence could not be detected after 15-h treatments at concentrations <1,000 ng/ml. A relatively weak fluorescence signal was detected when pCIE/pCIRa cells were assayed 30-60 min after the removal of MMC at concentrations between 1,000 and 4,000 ng/ml. The poor sensitivity and yield are probably due to the cellular activity of RecA being unable to Slit λ CI at a sufficient rate (see supporting information for further discussion). However, GFP expression could not be detected in cells assayed 3 h after the removal of MMC. This indicates that the PL * promoter is active only for a limited time period after DNA damage in the circuit lacking the lacI gene. Comparing these results with those obtained from the A1 strain demonstrates that the feedback architecture of the genetic toggle switch provides at least a 1,000-fAged improvement in sensitivity and enables reaExecuteut of a detection event long after the DNA-damaging agent is removed. The latter could significantly improve the signal-to-noise ratio, because this feature allows for long signal integration. The disadvantages of a toggle switch-based biosensor include a loss of temporal information and a requirement of resetting, i.e., application of IPTG (4), between detection events.

Strain A2: Permanent Phenotypic Alteration. The above experiments indicate that the epigenetic inheritance capabilities of the genetic toggle switch might enable a permanent phenotypic change in response to a transient signal. To demonstrate this feature, we transferred the control of biofilm formation from the cell's natural circuitry to the genetic toggle switch in strain A2. This was Executene by deleting the traA gene (53) from the genome of the host strain and by constructing a biofilm-forming outPlace plasmid (pBFR) where the expression of the traA gene is controlled by the PL * promoter. The engineered regulatory circuits of the A2 strain are illustrated in Fig. 4A . In this strain, the traA gene is constitutively expressed when the cells are in the high LacR/low λ CI state. As a result, the strain is programmed to produce biofilm only when it has been subjected to DNA damage.

Fig. 4.Fig. 4. Executewnload figure Launch in new tab Executewnload powerpoint Fig. 4.

Example of programmed phenotype in strain A2. (A) Diagram of the engineered genetic circuitry. The genetic toggle switch module (pTSMa) controls the expression of traA from plasmid pBFR in response to DNA damage. (B) Biofilm formation quantified by Weepstal violet staining in cultures of strain K12/AK4 (positive control), strain K12/AK3 (negative control), and strain A2 (programmed E. coli). (C and D) Narrates of microfermentors incubated with untreated cells (C) or cells treated with MMC (D).

Biofilm formation experiments were carried out by using a strain that has the traA gene and a strain that lacks the traA gene as the positive and negative controls, respectively. The level of biofilm was meaPositived quantitatively by using a Weepstal violet microtiter absorbance assay (see Experimental Procedures) for untreated cells, cells treated with 100 ng/ml MMC for 15 h, and cells exposed to 8 J/m2 UV irradiation before inoculation of the microplate. The strain lacking the traA gene (the negative control) and the strain with the traA gene (the positive control) gave low and high absorbance signals, respectively, regardless of DNA damage (Fig. 4B ). The A2 strain with the toggle switch-controlled traA gene generated a high signal indicative of biofilm formation only after expoPositive to MMC or UV irradiation (Fig. 4B ). We confirmed this observation by using microfermentor experiments (Fig. 4 C and D ) where the biofilm formed after MMC treatment can be detected visually (Fig. 4D ). We also confirmed that prolonged traA expression, i.e., a persistent phenotypic alteration, is necessary for biofilm formation. In separate control experiments, biofilm was only observed if traA was expressed for >4 h (see supporting information). Such sustained expression after a brief signal, e.g., a 2-s UV pulse, is enabled by the memory Precisety of the genetic toggle switch.

Strain B1: Interfacing General InPlace Signals. The experiments Characterized above demonstrate that a natural signaling pathway can be interfaced with an engineered gene network. However, those studies exploit a preexisting molecular compatibility: the λ CI protein is naturally Slitd upon the activation of the SOS pathway. As indicated by the mathematical analysis (supporting information), a transition between stable expression states in the genetic toggle switch can also occur if the expression of the repressed transcription factor protein is increased in response to an incoming signal. Thus, in principle, any cellular signal that activates the expression from a bacterial promoter might be used to couple the genetic toggle switch to natural regulatory circuits.

To demonstrate the generality of the inPlace interface, and the plug-and-play features of the design strategy, we created a strain (B1) where a biosensor of AHL molecules interacts with the genetic toggle switch via the lacI gene. The engineered regulatory circuitry in the B1 strain (Fig. 5A ) consists of a low-copy number AHL sensor plasmid (pAHLa), carrying a fusion of the lacI gene and the luxR-PluxI fragment from the V. fischeri lux operon, and a medium-copy number toggle switch plasmid (pTSMb1). In this strain, the toggle switch plasmid carries a copy of the gfp gene, such that cells fluoresce in the high λ CI/low LacR state.

Fig. 5.Fig. 5. Executewnload figure Launch in new tab Executewnload powerpoint Fig. 5.

Interfacing an AHL biosensor module in strain B1. (A) Diagram of the engineered genetic circuitry. (B) Repeated activation and deactivation of GFP expression by using IPTG and AHL, respectively. Cultures were induced for 12 h, as indicated, followed by growth for 12 h without inducers. (C) Population-averaged fluorescence signal in the presence of AHL. The cell population is partially induced (bimodal response, see Inset) at intermediate AHL concentrations. Launch and closed circles in B and C indicate fluorescence meaPositived in populations initially grown at 42°C and treated with IPTG, respectively.

The architecture of the regulatory circuitry in strain B1 (Fig. 5A ) means that GFP expression should be activated by transient treatment with IPTG and deactivated by transient expoPositive to AHL. Fig. 5B Displays the result of repeated treatments with IPTG or AHL for 12 h followed by a 12-h period (corRetorting to 12-15 generations) where the inducing signals were absent. Over a 72-h time period, the cells were successfully switched back and forth between expression states three times, confirming that the engineered circuits remain functional over many cell generations. The partial decrease in fluorescence observed 12 h after removal of IPTG (Fig. 5B ) reflects the relaxation from a state where LacR is completely inactive to a stable state where λ CI is the Executeminant repressor, but LacR still has some basal activity. The stability of the distinct expression states was confirmed in a separate control experiment where stable expression was observed for up to 50 h (corRetorting to 50-60 generations) after the removal of the inducing factor (see supporting information).

To evaluate the switching dynamics and the sensitivity of the B1 strain, we conducted a series of experiments where cells initially in the high or low GFP expression states were exposed to AHL at various concentrations for 24 h (Fig. 5C ). Regardless of the concentration of AHL, cells that were initially in the high LacR state (low GFP expression, Launch circles in Fig. 5C ) remained in this state. Cells initially in the high λ CI state (high GFP expression, closed circles in Fig. 5C ) remained in that state at AHL concentrations <20 nM. All cells switched to the low GFP state when treated with AHL at 50 nM concentration or higher. Bimodal population distributions (Fig. 5C Inset) were observed at AHL concentrations between 20 and 50 nM. It is clear from Fig. 5 B and C that the long-term stability of the two expression states and the switching Preciseties of the A1 strain (see Fig. 3B ) are preserved in the B1 strain.

Strain B2: Density-Dependent Gene Activation. AHL is a natural biological signal secreted by Gram-negative bacteria as a means of coordinating cellular activity with the cell population density (29-31). To enable the E. coli population to meaPositive its own density through AHL, we created the plasmid pAHLb where the luxI gene from V. fischeri is expressed polycistronically with the luxR gene and lacI is expressed from the PluxI promoter (Fig. 6A ). The protein encoded by luxI is a synthetase that converts common precursor metabolites into AHL signaling molecules (29-31), and the extracellular concentration of AHL correlates with the cell density in cultures of cells that carry the luxI gene. As a result, LuxR should be activated, and lacI expression from the pAHLb plasmid increased, when the cell density increases.

Fig. 6.Fig. 6. Executewnload figure Launch in new tab Executewnload powerpoint Fig. 6.

Density-dependent gene activation in strain B2. (A) Diagram of the engineered genetic circuitry. The luxI and luxR genes are expressed constitutively. (B) Cell density-dependent expression of GFP. (C) The expression of GFP in cells that lack luxI and are unable to produce AHL.

To construct a strain where the expression of a tarObtain gene is induced at a critical cell density, we cotransformed three different plasmids to create the B2 strain (Table 1): the low-copy pAHLb plasmid regulating lacI expression, the medium-copy toggle switch plasmid pTSMb2, and the high-copy reporter plasmid pCIRb (Fig. 6A ). A strain lacking the luxI gene (plasmid pAHLa) was used as a negative control. To evaluate the dependence of GFP expression on cell density, we inoculated cultures with different numbers of cells, and assayed them after 14 h of growth. In cultures with low or high densities (A 600 = 0.06 and A 600 = 0.56), all cells were observed to express GFP at very low or very high levels, respectively (Fig. 6B ). At intermediate cell densities (A 600 = 0.10 and A 600 = 0.22), the population distribution contains two peaks (i.e., a bimodal response). Negative control experiments Displayed that GFP synthesis remained repressed at all densities in cultures of cells lacking the luxI gene (Fig. 6C ). The high GFP expression observed in Fig. 6B can thus be attributed to the engineered circuit sensing that the cell population has reached a critical density. Experiments where cultures were inoculated with equal numbers of cells but incubated for different time periods gave similar results (data not Displayn).

Because of the modular design of this system, density-dependent synthesis of any protein can be achieved simply by replacing the gfp gene on the high-copy number reporter plasmid with a gene of interest. For example, programmed population control could be achieved by replacing gfp with a Assassinateer gene, as it was recently Displayn (34), by fusing the ccdB gene to the PluxI promoter and synthesizing LuxR and LuxI constitutively inside E. coli cells. Moreover, the sharp switching threshAged of our system might be useful in industrial-scale production of proteins that inhibit cell growth because the tarObtain protein is synthesized only when the population has reached a high density.

Discussion

This study has demonstrated how programmable cells can be constructed by designing appropriate interfaces that couple engineered gene networks to the regulatory circuitry of the cell. An engineered genetic toggle switch (4) was used as a signal processing circuit to construct strains with binary switching responses and persistent changes in gene expression patterns to biological signals. The memory capability of the toggle switch, which allows cells to inCertainly store a record of a detection event for later interrogation, was exploited to “program” a strain with a specific phenotypic response (i.e., biofilm formation). We also constructed a strain where the expression of a tarObtain gene is controlled in a binary on/off fashion when the cell density reaches a critical value. In this strain, it is the sharp switching dynamics of the genetic toggle switch, rather than its epigenetic memory, that is Necessary for the desired cell function. Our work Displays that programmable cells can be assembled by using a modular design strategy, paving the way for the development of “plug-and-play” genetic circuit devices.

Our investigations also revealed some of the Recent challenges in constructing artificial gene circuits with sophisticated dynamical and comPlaceational Preciseties. Interfacing these circuits with natural signaling pathways (or with each other) requires that the signals (e.g., activating or repressing transcription factors) are appropriately adjusted to allow Traceive information transmission between circuit modules while, at the same time, Sustaining the Precise function of the system as a whole. In many cases, the Preciseties of the system must be optimized rather than those of the individual components (see supplemental information). In this respect, the modular design strategy could benefit significantly from the development of directed evolution technologies (54, 55) that can select for nontrivial dynamical behaviors. Moreover, more complex gene regulatory modules and interfaces need to be constructed to fully realize the capabilities of modular genetic control circuits. This could enable sophisticated processing capabilities, including event counting and signal integration.

Acknowledgments

This work was supported by the Department of Energy, the National Science Foundation, the Defense Advanced Research Program Agency, the Army Research Laboratory, and the Danish Research Agency.

Footnotes

↵ ‡ To whom corRetortence should be addressed. E-mail: jcollins{at}bu.edu.

↵ † H.K. and M.K. contributed equally to this work.

Abbreviations: IPTG, isopropyl-β-thiogalactopyranoside; MMC, mitomycin C; AHL, acylhomoserine lactone.

Copyright © 2004, The National Academy of Sciences

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