Abstract
Bistable switches are common gene regulatory motifs directing two mutually exclusive cell fates. Theoretical studies suggest that bistable switches are sufficient to encode more than two cell fates without rewiring the circuitry due to the non-equilibrium, heterogeneous cellular environment. However, such a scenario has not been experimentally observed. Here by developing a new, dual single-molecule gene-expression reporting system, we find that for the two mutually repressing transcription factors CI and Cro in the classic bistable bacteriophage λ switch, there exist two new production states, in which neither CI nor Cro is produced, or both CI and Cro are produced. We construct the corresponding potential landscape and map the transition kinetics among the four production states. These findings uncover cell fate potentials beyond the classical picture of bistable switches, and open a new window to explore the genetic and environmental origins of the cell fate decision-making process in gene regulatory networks.
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Introduction
Cell fate decision-making is the process of a cell committing to a differentiated state in growth and development. The decision is often carried out by a select set of transcription factors (TFs), the expression and regulatory actions of which establish differentiated programs of gene expression1. Bistable switches, which consist of two mutually repressing TFs, are the most common gene regulatory motifs directing two mutually exclusive gene expression states, and consequently distinct cell fates2,3,4,5,6,7,8,9,10,11,12. Theoretical studies suggest that the simple circuitry of bistable switches is sufficient to encode more than two cell fates due to the non-equilibrium, heterogeneous cellular environment, allowing a high degree of adaptation and differentiation13,14,15,16. However, new cell fates arising from a classic bistable switch without rewiring the circuitry have not been experimentally observed17,18,19.
Here, by developing a dual single-molecule gene-expression reporting system, we demonstrate experimentally the emergence of two new expression states in the model bistable switch of the bacteriophage λ20. We construct the corresponding potential landscape and map the transition kinetics between the four production states, providing insight into possible state-switching rates and paths. These findings uncover cell fate potentials beyond the classical picture of λ switch, and open a new window to explore the genetic and environmental origins of the cell fate decision-making process in gene regulatory networks.
Results
Construction and validation of DuTrAC
The λ switch is composed of two mutually repressive TFs, CI and Cro (Fig. 1a); the expression of CI but not Cro confers lysogenic growth, and the expression of Cro but not CI confers lytic growth. The λ switch has served as a paradigm for studying gene regulation and cell fate determination9,10,11,20,21, but the real-time switching kinetics and paths between the two distinct, mutually exclusive gene expression states have not been elucidated experimentally. To achieve these goals, we developed a dual single-molecule gene-expression reporting system to follow the stochastic expression dynamics of CI and Cro simultaneously in the same cells (Fig. 1b).
In the dual gene-expression reporting system, we fused a fast-maturing yellow fluorescent protein variant, Venus22, to one of two cellular localization tags, Tsr or LacI, to distinguish the production of CI and Cro in the same cell. The strategy of using two different subcellular localizations differs from previous studies using fluorescent proteins of different colors23, and avoids the major disadvantage of temporal mismatches caused by different fluorescent protein maturation rates (e.g., ~1âh for red fluorescent proteins such as mCherry24 and ~5â10âmin for Venus22,25,26,27,28). Tsr is a membrane protein that localizes rapidly and specifically to cell poles29. LacI binds specifically to 256 lacO sites (lacO256) incorporated onto a multi-copy, mid/quarter-cell-localizing RK2 plasmid pZZ630. With the ability to localize single fluorescent protein molecules with 30â40ânm precision in live Escherichia coli cells27,31, we could distinguish between individual Tsr-Venus and LacI-Venus molecules based on their subcellular positions. Using a control strain XF004 expressing Tsr-Venus and LacI-mCherry independently (Supplementary Figure 1, Supplementary Table 1), we demonstrated that there was indeed minimal spatial overlap (~2%) between the two localization tags (Supplementary Figure 2 and Supplementary Movie 1).
Next, to distinguish the expression of CI and Cro in the same cell while avoiding possible disruptions of their functions due to the fluorescent protein fusion, we generated two translational fusion genes, tsr-venus-ub-cI and lacI-venus-ub-cro, and used the CoTrAC strategy (CoTranslational Activation by Cleavage26,27) to cleave cotranslationally the Tsr-Venus-Ub or LacI-Venus-Ub reporter from CI or Cro (Fig. 1b). This strategy ensures a 1:1 ratio in real-time between localized Venus reporter molecules and the fused CI or Cro molecules. Using two control strains expressing only Tsr-Venus-Ub-CI (XF002) or LacI-Venus-Ub-CI (XF003), we verified that the cellular localization and fluorescence intensity of cell-pole- and midcell-targeted Venus spots faithfully reported both the identity and expression level of CI (Fig. 1c, d, Supplementary Figure 1, Supplementary Movies 2 and 3). We named this new, dual gene-expression reporting system DuTrAC (Dual coTranslational Activation by Cleavage).
λ switch exhibits two new CI and Cro expression populations
To investigate the regulatory dynamics of CI and Cro in the λ switch using DuTrAC, we constructed strain XF204. We fused tsr-venus-ub to a temperature-sensitive CI mutant (cI85732), and lacI-venus-ub to cro, replacing the native cI and cro genes in the genetic switch, similar to what was previously described (Supplementary Figure 1, Supplementary Table 1)27. We then integrated this circuit from OL to the end of the cro gene into the chromosome of E. coli MG1655 strain at the lac operon locus (Fig. 1b). Hence, Tsr-Venus-Ub reports the expression of CI857, and LacI-Venus-Ub reports the expression of Cro. We used the temperature-sensitive mutant CI857 (A66T32) in place of wild-type (WT) CIWT for the convenience of using temperature to tune the fraction of active CI. CI857 has normal DNA-binding affinity and transcription regulation activity at the permissive temperature of 30â°C33. At higher temperatures, an increasing fraction of CI857 becomes inactivated due to misfolding and subsequent degradation33, and therefore temperature can be used as a convenient âcontrol knobâ to change the fraction of active, WT CI molecules8. We verified that the fusion of DuTrAC reporters to CI and Cro did not change the switching behavior of the genetic switch (Supplementary Figure 3A). Furthermore, to examine the switching behavior across different protein expression levels, we generated two additional strains XF214 and XF224 (Supplementary Figure 1, Supplementary Table 1), in which the expression level of LacI-Venus-Ub-Cro was reduced in the order of [Cro]XF224â<â[Cro]XF214â<â[Cro]XF204. Using Western blotting, we confirmed that the expression levels and switching behaviors of these strains were as expected (Supplementary Figure 3B). Note that in the following experiments, for simplicity, we referred CI857 as CI.
To investigate the switching behavior of the modified λ switch, we first quantified the expression levels of CI and Cro in individual cells of strain XF204, XF214, or XF224 maintained constantly at different temperatures for >20 generations (Fig. 2, Supplementary Figures 4, 5 and Supplementary Table 2). We found that consistent with the typical bistable behavior, at a low temperature (30â°C), cells had few Cro but predominately CI molecules (hereafter termed [L, H] for low-Cro and high-CI level, Fig. 2a, red curves); at a high temperature (37â°C) the switch was flipped and cells predominately existed in high-Cro, low-CI level ([H, L], Fig. 2a, green curves). Interestingly, between the two extreme temperatures, we observed that a large population of cells had both CI and Cro [H, H] in the same cells at intermediate levels (Fig. 2a, black curves, Supplementary Figure 5, Supplementary Table 2). Reduced Cro levels in strains XF214 and XF224 did not abolish the presence of [H, H] cells, but shifted the temperature at which the percentage of this population of cells was the highest from 33â°C in XF204 to 34â°C in XF214 and to 36.5â°C in XF224 (Fig. 2, Supplementary Figure 5, Supplementary Table 2). A fourth population of cells having little CI or Cro ([L, L]) also existed at these temperatures. A few representative images of the four cell populations of strain XF224 at low, intermediate, and high temperatures are shown in Fig. 2b. Previous studies probing CI and Cro expression levels independently did not observe the presence of the two new populations of cells9,34.
Observing the switching of CI and Cro production
The observation of cells having both CI and Cro indicated that cells could switch between CI- and Cro-expressing states within each otherâs degradation time scales, and/or there existed a new expression state in which CI and Cro were expressed concurrently. The snapshot nature of the above measurement could not distinguish these possibilities. In addition, the snapshot measurement of CI was complicated by the fact that at high temperatures an increasing population of CI857 becomes inactive; hence, the actual steady-state level of active CI (molecules/cell) is only proportional to the measured level of Tsr-Venus-Ub. These problems could be circumvented by following protein production in real time; the number of newly produced protein molecules per unit time directly reflects promoter activity during that time without the convolution of any downstream processes. Therefore, we grew XF224 cells in a precision temperature-control chamber (Tâ=â36.5â±â0.1â°C over the length of the experiment of ~7âh, Supplementary Figure 6) on a microscope stage, and counted the number of newly produced CI and Cro molecules in individual cells every 5âmin for multiple generations (Supplementary Figure 7, Supplementary Movies 4, 5, mean cell cycle time Ïâ=â71â±â22âmin, μâ±âs.d., nâ=â457 cell cycles). We photobleached Venus molecules after each detection, so that new fluorescent molecules detected after 5âmin of the dark interval were newly produced during the 5âmin26,27. We chose strain XF224 because it had the lowest Cro steady-state levels compared to XF204 and XF214 (Supplementary Figures 3, 5), facilitating the accurate identification and counting of single Venus molecules in small E. coli cells (Supplementary Figure 8). We choose to conduct the real-time experiment at 36.5â°C because the steady-state experiment showed that at this temperature XF224 has the largest population of cells expressing both CI and Cro.
In Fig. 3, we show four representative time traces of different XF224 cell lineages. For each colony, we only picked randomly one cell lineage for analysis in order to avoid double-counting data. We observed stochastic, anti-correlated production of CI and Cro (Fig. 3aâd, Supplementary Figure 9). Intriguingly, in many time traces, we observed that there were periods of time in which neither CI or Cro was produced, or both were produced. The presence of the four production populations was evident when we plotted the two-dimensional (2D) histogram of the number of CI and Cro molecules produced in each 5-min imaging interval for all time traces (Fig. 3e). In addition to the two expected populations of high-CI ([L, H]), and high-Cro ([H, L]) production states, there were two additional populations. One resided at [0, 0] where no CI or Cro was produced, and another centered at ~4 molecules for both CI and Cro, similar to the [L, L] and [H, H] populations we observed in steady-state measurements (Fig. 2). The one-dimensional (1D) histograms of CI and Cro alone showed two-state distributions (Fig. 3e).
We verified that the presence of the four populations was not caused by the independent production of CI and Cro from two copies of the λ switch due to chromosome replication, because the four populations existed similarly in young cells where the chromosomal copy was one before replication (cell age ⩽0.4, less than 40% of the cell cycle time, Supplementary Figure 10A). Furthermore, single-molecule fluorescence in situ hybridization (smFISH, Supplementary Table 3) showed co-existence of cI and cro mRNA molecules in a significant population of cells (16.3â±â0.7%, cI and cro mRNAs at 0.9â±â0.03 and 0.6â±â0.02 molecules per cell, μâ±âs.e., nâ=â2627 cells), irrespective of cell ages (Supplementary Figure 10B and Supplementary Table 4). This result suggested that cI and cro mRNAs were produced within each otherâs short lifetime window (~1.5âmin35) (Supplementary Note 4). Co-existence of cI and cro mRNAs has also been previously observed in cells growing under a different growth condition35. Finally, we verified that the stochastic maturation process of the Venus fluorophore only affected the spread, but not the presence, of each population in the 2D histogram (Supplementary Note 5, Supplementary Figure 11). Taken together, these results suggested that in each 5-min time window, a cell could produce none, only one or the other, or both proteins.
Quantifying potential landscape and switching kinetics
Using the experimentally measured 2D distributions of CI and Cro production levels, we generated the corresponding potential landscape by calculating the negative logarithm of probabilities (Fig. 3f). There were clearly four basins, approximately around at [0, 0], [4, 0], [0, 4], and [4,4] for produced [Cro, CI] protein molecule numbers per 5âmin (Fig. 3f). Interestingly, there was one central peak separating the four basins such that the barrier height between two opposite basins [L, L] and [H, H], or [H, L] and [L, H], was higher than that between two adjacent basins [L, L] and [L, H], or [L, L] and [H, L] (Fig. 3f). This type of landscape has not been previously observed for such a genetic circuitry, and suggested specific switching paths between the basins. For example, to switch from [H, L] to [L, H], the path going through the [L, L] or [H, H] basins would have higher probability than the path of switching directly between the two.
To quantitatively identify possible production states of CI and Cro corresponding to the observed basins in the potential landscape, and obtain the associated transition rates between these states, we used a modified Hidden Markov Model (HMM) (Supplementary Note 1), which is commonly used in temporal pattern recognition36,37. We found that a four-state HMM ([L, L], [L, H], [H, L], and [H, H]) matched the observed 2D histogram of CI and Cro production the best (Supplementary Figure 12, Supplementary Note 2). The mean production levels of Cro and CI of each state and the corresponding dwell times were summarized in Table 1 and Supplementary Figure 13. Importantly, HMM allowed us to identify state-switching events in individual time traces (Fig. 3aâd, middle panels with colored bars) and hence the transition time constants (Supplementary Note 3, Fig. 4a, Supplementary Table 5)17,38. Similar results were observed using truncated time traces of only young cells (Supplementary Figure 14, Supplementary Tables 5 and 6).
Because the dynamics of a system is fully determined and described by its speed and the underlying kinetic processes (or paths), the transition time constants obtained here can be used to identify the most likely transition paths and the associated rates of switching between states, which has not been achieved before. For example, to switch from the [L, H] state to the [H, L] state, the most likely path is to go through the [H, H] state instead of directly switching. We can also determine the time it takes for switching by the times a cell spent on the two paths (from [L, H] to [H, H] and from [H, H] to [H, L]). This gives us an insight into possible mechanisms underlying the kinetic processes in terms of the speed and the most likely paths, suggesting an unexpected kinetic route through [H, H] beyond direct switching between CI and Cro.
Discussion
Theoretical studies have shown that without changing the wiring configuration of a bistable switch, multistability can arise from weakened regulatory interactions, which impose fewer constraints on possible TF binding configurations13,14,15,16. In eukaryotic cells, epigenetic phenomena such as histone modification and DNA methylation could reduce the binding rates of TFs to their targeting DNA sites, leading to longer time scale of gene regulation. In bacterial cells, low TF expression levels39 and high levels of non-specific binding40 can effectively slow down the binding of TFs to specific target sites, leading to weakened regulation. Such a regime in gene regulation is termed non-adiabatic, in contrast to the classic adiabatic regime, in which protein binding and unbinding are fast compared to the proteinâs production and degradation time scales with rapid equilibration in a well-mixed environment14,15,16,41. Previous studies under different experimental conditions in which CI was expressed at higher levels than ours have elegantly demonstrated the adiabatic regime of the λ switch8,42,43.
In strain XF224, both CI and Cro were expressed at much lower levels than in the WT strain XF204 (Supplementary Table 2, Supplementary Figures 5 and 15). Under this condition, slow association/dissociation times (in the range of a few minutes to hours44,45) and significant levels of non-specific binding for both CI and Cro (>70%,40) were previously demonstrated. Our results showed that the [L, L] state persisted for ~20âmin (Fig. 3aâd), which is longer than the reactions times typically associated with relevant biochemical events such as transcription initiation, mRNA degradation, and TF binding46. The [L, L] production state could emerge and remain relatively long-lived when a combination of CI and Cro occupies all the operator sites, shutting down the production of CI and Cro simultaneously (Fig. 4b).
When either CI or Cro dissociates, and the rebinding is slow, RNA polymerase (RNAP) can bind to the exposed PR or PRM promoters, resulting in the [H, L] or [L, H] production states. RNAP exists at a much higher level (~3000 molecules per cell under a similar growth condition47) compared to CI and Cro, and hence its binding rate would be significantly faster. When both CI and Cro dissociate from all three operators, which would occur at a much lower probability than only one of them dissociating, RNAP can initiate transcription from either one of the two promoters, resulting in the [H, H] production state (Fig. 4b). Consistent with this possibility, we previously measured the basal expression level of PRM promoter in the absence of CI and Cro to be similar to the CI production level in the [H, H] state27. In addition, in vitro studies have demonstrated that both PR and PRM promoters on the same λ switch can be occupied by two RNAP molecules simultaneously in the absence of CI and Cro48,49.
One important aspect of our time-lapse experiments, in contrast to an earlier experiment with a similar genetic network8, is that we measured the production, but not cellular concentrations, of CI and Cro. Protein production rates directly measure promoter activities, which reflect promoter configurations with respect to TF and RNAP binding. In the adiabatic regime, protein concentration changes (and hence changes in protein binding rates) are instantaneously reflected in protein production rates; in the non-adiabatic regime, however, promoter activity can lag protein concentration changes. One concentration state can correspond to multiple production states, and hence multiple cell fate potentials. The well-known hysteresis effect of bistable switches8 is likely a result of the non-adiabatic cellular environment in which protein binding/unbinding is slowâcells starting in one state have a tendency to stay in that state before switching to the other states even when the concentration of a critical protein has already changed.
Previous studies showed that different wiring conditions of bistable switches could give rise to a maximum of three states in the adiabatic regime17,18,19. Here we showed that, in the non-adiabatic regime, four protein production states can emerge from bistable switches without changing wiring configurations, with consequences in establishing new cell fates13,14,15,16,50. A living cell, in which a non-equilibrium state is the norm, could potentially utilize non-adiabaticity to encode more than two cell fates with limited circuitry, allowing a high degree of adaptation and differentiation. However, from the opposing point of view, this increased diversity of states in the non-adiabatic regime places more limits on genetic circuitry that will produce robust binary switching; hence, avoiding the non-adiabatic regime will be key to engineer robust, binary genetic switches.
Methods
Bacterial strains and plasmids construction
Strains XF103 and ZH051 were generated using the parental strain BW2511351 and λ RED recombination52. Briefly, plasmid pXF103 carrying the lacI-venus-ub-cI fusion gene was constructed by replacing the tsr-venus sequence of the λ switch in plasmid pZH05127 with the lacI-venus sequence amplified from plasmid pVS143 using primers P1 and P2. The full-length λ switch sequence (from OL to the end of cro) containing lacI-venus-ub-cI on pXF103, or tsr-Venus-ub-cI on pZH051, was then PCR amplified (primer pair P3:P4) together with the drug resistance gene kanR on the plasmid and replaced the lacI gene on chromosome using λ RED recombination. Subsequently, the kanR gene was removed by transforming the FLP recombinase expressing plasmid pCP20 into the host strain to generate the final XF103 or ZH051 strain.
Strains XF204, XF016, XF206, XF214, XF224, XF225, and XF226 were generated using the parental strain E. coli K12 MG1655 (Yale University E. coli Genetic Stock Center) and the landing pad approach, which is specific for the chromosomal integration of large genetic constructs53. First, the ind1 and sam7 mutations in the cI857 sequence on plasmid pZH016 were corrected using primers P5 and P6, and the resulting tsr-venus-ub-cI857 was used as a template for subsequent strain constructions. To generate the two-reporter λ switch (tsr-venus-ub-cI in place of cI and lacI-venus-ub-cro in place of cro), lacI-venus-ub was amplified from plasmid pXF103 using primer pair P7:P8 and ligated into pZH016 in front of cro to generate two-reporter λ switch pXF104. The landing pad vector pTKIP (containing LP1 and LP2, gift from Dr. Thomas E. Kuhlman) was opened to add NheI and SalI restriction sites at two ends using inverse PCR (primer pair P9:P10). Plasmid pXF104 was digested with NheI and SalI to release the two-reporter λ switch DNA fragment and ligated into similarly digested pTKIP inverse PCR product to obtain plasmid pXF204. Plasmid pXF204 was then served as a template to generate pXF214 (primer pair P11:P12, ATG start codon of lacI changed to GTG) and pXF224 (primer pair P13:P14, PR promoter â32 A to G) using site-directed mutagenesis.
To eliminate the fluorescence of Venus, two glycine residues in the tri-peptide of Venus chromophore were mutated to Alanin54 using site-directed mutagenesis (primer pair P15:P16) to obtain pXF106 from pZH016. Plasmid pXF106 was digested by BspEI and SalI to release the tsr-venus*(G65A and G67A)-ub-cI857 fragment and ligated with similarly digested vector from pXF204 to obtain pXF206. Plasmid pXF106 was digested by BspEI and SalI to release the tsr-venus*(G65A and G67A)-ub-cI857 fragment and ligated with similarly digested pXF224 to obtain pXF226, which contain the tsr-venus*-ub-cI and the mutated PR promoter in front of lacI-venus-ub-cI.
To generate pXF016, which was the landing pads version of pZH016, pZH016 was digested with NheI and SalI to release the λ switch DNA fragment containing tsr-venus-ub-cI857 and cro. The fragment was then ligated into NheI- and SalI-digested pXF214 to obtain pXF016. pXF225 was generated from pXF016 using site-directed mutagenesis (primer pair P13:P14) to mutate PR promoter (â32 A to G).
To prepare the parental strain MG1655 for landing pad integration, the fragment of LP1-tetR-LP2 containing two landing pads LP1, LP2, and a tetracycline resistance gene was amplified from plasmid pTKS/CS (gift from Dr. Thomas E. Kuhlman). The lacI gene on MG1655 chromosome was then replaced with the LP1-tetR-LP2 fragment using λ RED recombination to obtain strain XF001. To construct strain XF204 using the landing pad approach, plasmids pTKRED (gift from Dr. Thomas E. Kuhlman) and pXF204 were transformed into XF001. Single colonies of XF001(pTKRED/pXF204) transformants were picked and grown in 1âml LB with 2% arabinose and 4âmM IPTG at 30â°C for 2âh with aeration. Next, 10âμl spectinomycin at a final concentration of 100âμgâmlâ1 was added and the culture was allowed to continue at 30â°C. After 5âh, 1âμl kanamycin at a final concentration of 50âμgâmlâ1 was added and the culture was kept growing overnight. The next morning, the overnight culture was 1:104 diluted using fresh M9 medium, and 50âμl of the dilution was plated on LB plate with kanamycin (50âμgâmlâ1) and incubated overnight at 30â°C. Single colonies grown on the kanamycin plate were tested for their failure to grow in tetracycline- or carbenicillin-containing media and subsequently sequenced to obtain strain XF204. Correct colonies were picked into 5âml LB medium and cultured overnight at 37â°C to eliminate plasmid pTKRED. The other strains (XF016, XF206, XF214, XF224, XF225, and XF226) were constructed following the same procedure using the corresponding helper plasmid (pXF016, pXF206, pXF214, pXF224, pXF225, and pXF226). All the strains were then transformed with the UBP1-expressing plasmid pCG001 (gift from Dr. Roland Baker55) and the lacO256 plasmid pZZ6 (gift from Dr. Joe Pogliano30). Note that the 37â°C growth condition to eliminate pTKRED led to a large population of cells expressing high levels of Cro in the presence of the CI857 mutant, especially in the XF204 strain. Therefore, after the elimination of pTKRED, plasmid cells were grown in LB medium at room temperature overnight followed by resteaking on LB plates at 30â°C for another dayâs growth. Single colonies that have already switched back to low Cro expression levels (lower fluorescence level compared to that in high Cro expression levels) were identified using a Halogen lamp equipped with an emission filter (ET545/30, Chroma). These colonies were further grown to exponential phase in M9 medium at 30â°C and imaged on the microscope to confirm their expression states. Confirmed cultures were then flash-frozen in liquid nitrogen and stored at â80â°C.
To construct plasmid pXF011 that expressed UBP1 and LacI-mCherry, lacI-mCherry fragment with the pBAD promoter was PCR-amplified from pZH102 using primer pair P19:P20, subsequently restricted with SalI and EagI, and ligated into similarly restricted pCG001 vector to obtain plasmid pXF004. The pBAD promoter in front of lacI-mCherry on pXF004 was then replaced by a constitutive promoter of BBa_J2310356 using primer pair P21:P22 to obtain pXF011.
All the strains, plasmids, and primers are listed in Supplementary Table 1.
Growth conditions
Cells from frozen stocks were streaked on LB plates and incubated at an appropriate temperature overnight. Single colonies were picked the next day and inoculated into M9 medium supplemented with MEM amino acid (Sigma-Aldrich Co. LLC) at appropriate temperature overnight in a precision temperature-controlled shaker (±0.5â°C, MIDSCI IS-300). The next morning, cells were reinnoculated in fresh M9 medium to mid-log phase (OD600â0.4) before steady-state or time-lapse microscopy experiments. Antibiotics were included in all cultures at concentrations of 50âμgâmlâ1 for kanamycin, 25âμgâmlâ1 for chloramphenicol, and 100âμgâmlâ1 for ampicillin when appropriate.
Western blot
Cells were cultured under the same condition as that described for steady-state microscopy measurements. Log phase cells (OD600â0.4â0.5) were collected and cell numbers counted using a Petroff-Hausser chamber and a plating assay. Cell lysates were prepared by incubating equal number of cells for 10âmin at 100â°C followed by 20âmin at â75â°C. Protein electrophoresis was carried out using a 4â15% Tris-HCl Precast gradient gel (Bio-Rad) at 100âV for 1.5âh. The gel was then transferred to a PVDF membrane (Bio-Rad) for 2âh at 25âV and 4â°C. Venus bands were detected with 1:2500 mouse antibody to GFP (Clontech, JL-8) and 1:20,000 goat-anti-mouse HRP secondary antibody (BioRad, #170-5047). Immun-StarTM WesternCTM reagents (Bio-Rad) were applied for luminescent visualization. Images were captured using a Typhoon Scanner (GE Life Sciences).
smFISH
CI transcripts were labeled with 30 oligonucleotides (Supplementary Table 3) conjugated with TAMRA (Biosearch Technologies). Cro transcripts were labeled with 41 oligonucleotides (Supplementary Table 2) conjugated with Quasar 670 (Biosearch Technologies). Because of the short sequence of cro mRNA, only nine of the probes targeted to the cro mRNA sequence and 31 probes targeted to the lacI sequence fused to cro.
Three cultures of XF224 cells were grown using the same procedure and growth medium as that for the time-lapse experiments, but at three different temperatures, 30, 36.5, and 37.5â°C. The 30â°C culture was used as a control to quantify the fluorescence intensity of single cro mRNA molecules, because at 30â°C CI dominated and Cro was transcribed at such a low level that most cro transcripts were single molecules. Similarly, the 37.5â°C culture was used as a control to quantify the fluorescence intensity of single cI mRNA molecules. Cells were fixed at respective growth temperatures and labeled with 1âμM CI and 1âμM Cro probes using a protocol as described previously57. Briefly, the cells were fixed for 30 min with 3.7% formaldehyde and were then permeabilized with 70% ethanol for 1 h. Each sample was hybridized overnight in a 40% formamide hybridization solution. Before imaging, the cells were washed 4à with 40% formamide wash solution and then resuspended in 2x SSC for imaging.
Fixed and labeled cells were imaged using simultaneous laser excitation at 561ânm (Coherent, sapphire) and 647ânm (Coherent, obis). Emission was collected using an OptoSplit III with a long-pass (647ânm) beam splitter and emission filters ET590/33 and HQ705/55 (Chroma Technology). Each view field was imaged at six z planes separated by 200ânm. The projection of the six planes was then used to detect fluorescent spots using custom MATLAB software as previously described30. The total integrated fluorescence intensity of each spot was divided by the mean intensity of corresponding single transcript molecules to obtain the number of transcript molecules in each spot.
Time-lapse imaging
Log phase cell culture (1âml) was collected and washed twice with fresh M9 medium. Pelleted cells were diluted 1:100 and 0.5âμl was spotted onto a gel pad made of 3% low-melting temperature SeaPlaqueTM agarose (Lonze) using M9 medium in a precision temperature-controlled growth chamber (FCS2, Bioptechs). The chamber was locked on an Olympus IX-81 inverted microscope equipped with a 100à oil-immersion objective lens (Olympus Inc., PlanApo 100ÃNA 1.45). Both the sample chamber and the objective were maintained at 36.5â°C using respective heaters provided by the FCS2 system (Bioptechs). In all time-lapse experiments, a digital thermometer probe was inserted into the sample chamber to record the temperature fluctuations in real time using a voltage recorder (MadgeTech, VOLT101A-15V). Excitation at 514ânm with an illumination power density of ~1âkWâcmâ2 was provided by an argon ion laser (Coherent Innova I-308). Emission was filtered (ET545/30, Chromas Technology Corp), and fluorescent and bright-field images with a time interval of every 5-min were captured by an Ixon EMCCD camera (Andor IXon DU888) using a custom imaging journal in Metamorph (Molecular Devices) as previously described in refs. 26,27.
Time-lapse image analysis
We used a previously published procedure to segment cells, detect fluorescent spots, and track cell lineages27. We used a custom Matlab code to assign individual fluorescent spots to CI or Cro by measuring the centroid distance of the spot to cell center (estimated as the center of mass of cells in a segmented, binary image) using a threshold of 0.6 (Fig. 1c and Supplementary Figure 7). For each micro-colony, only one cell lineage time trace with complete cell cycles was used. A total of 96 time traces (6453 frames) were obtained for the XF224 strain.
Steady-state imaging
Log phase cell culture was prepared exactly the same as described in time-lapse imaging except that cells were diluted 1:50 to obtain more cells in each imaging area. All cells were imaged within 1.5âh at room temperature to avoid significant changes of expression levels. For the two-color strain XF004, Venus was excited using an argon ion laser (Coherent Innova I-308) and mCherry was excited by a rhodamine dye laser (Coherent 599) tuned to ~570ânm. Images were split into the yellow and red channels by an Optosplit II adaptor (Andor) using a long-pass filter, and further filtered by ET545/30 and HQ630/60 bandpass filters (Chroma) for the yellow and red channels, respectively.
Steady-state image analysis
To quantify the copy numbers of CI and Cro in microscopy experiments, we measured the fluorescence intensity distribution of single Tsr-Venus-Ub molecules under our imaging condition (Supplementary Figure 4) using the λâ strain expressing very low numbers of Tsr-Venus-Ub per cell cycle27. Using a previously described procedure, individual, well-localized Tsr-Venus-Ub or LacI-Venus-Ub spots in experimental strains were detected and the corresponding fluorescence intensity was converted to molecule numbers of CI or Cro by dividing by the peak value of the Gaussian distribution of single Venus molecules27. For strain XF224, both Tsr-Venus-Ub and LacI-Venus-Ub molecules were localized to diffraction-limited spots and the procedure described above was carried out. For strains XF204 and XF214, at high temperatures, Cro was expressed at high levels, and hence did not form well-localized spots but nucleoid-covered clouds. Therefore, we measured total integrated cellular fluorescence and subtracted the fluorescence of pole-localizing Tsr-Venus-Ub spots. The subtracted fluorescence intensity was then used to calculate the number of expressed Cro copy numbers. The absolute copy numbers of the three strains at different temperatures measured at steady state are plotted in Supplementary Figure 5 and summarized in Supplementary Table 2.
Code availability
The analyses in this study were performed by using custom MATLAB code, which will be made available from the corresponding author upon reasonable request.
Data availability
The authors declare that the data supporting the findings of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
We thank Dr. Thomas E. Kuhlman for the gifts of pTKRED, pTKIP, pTKS/CS; Dr. Roland Baker for the gift of pCG001; Dr. Joe Pogliano for the gift of pZZ6. This work was supported by NSF CAREER Award (0746796), March of Dimes Research grant (1-FY2011), NSF EAGER MCB1019000, NSF PHYS 76066, NSFC 91430217, and LISBOA-01-0145-FEDER-007660.
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X.F., J.W. and J.X. designed the projects. X.F. engineered the strains, performed immunoblotting experiments, acquired and analyzed the fluorescence images. Q.L., Z.H. and J.X. developed the image data processing method. Q.L., W.H. and J.W. developed the analytical method. C.B. performed smFISH experiment. Q.L., J.W. X.F. and J.X. analyzed the data. X.F., J.X., and J.W. wrote the manuscript.
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Fang, X., Liu, Q., Bohrer, C. et al. Cell fate potentials and switching kinetics uncovered in a classic bistable genetic switch. Nat Commun 9, 2787 (2018). https://doi.org/10.1038/s41467-018-05071-1
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DOI: https://doi.org/10.1038/s41467-018-05071-1