Skip to main content
Antimicrobial Agents and Chemotherapy logoLink to Antimicrobial Agents and Chemotherapy
. 2015 Jun 12;59(7):3789–3799. doi: 10.1128/AAC.00236-15

Development and Validation of a High-Throughput Cell-Based Screen To Identify Activators of a Bacterial Two-Component Signal Transduction System

Julia J van Rensburg a, Kate R Fortney a, Lan Chen g, Andrew J Krieger a,*, Bruno P Lima i,*, Alan J Wolfe i, Barry P Katz d,h, Zhong-yin Zhang e, Stanley M Spinola a,b,c,f,
PMCID: PMC4468680  PMID: 25870061

Abstract

CpxRA is a two-component signal transduction system (2CSTS) found in many drug-resistant Gram-negative bacteria. In response to periplasmic stress, CpxA autophosphorylates and donates a phosphoryl group to its cognate response regulator, CpxR. Phosphorylated CpxR (CpxR-P) upregulates genes involved in membrane repair and downregulates multiple genes that encode virulence factors, which are trafficked across the cell membrane. Mutants that constitutively activate CpxRA in Salmonella enterica serovar Typhimurium and Haemophilus ducreyi are avirulent in mice and humans, respectively. Thus, the activation of CpxRA has high potential as a novel antimicrobial/antivirulence strategy. Using a series of Escherichia coli strains containing a CpxR-P-responsive lacZ reporter and deletions in genes encoding CpxRA system components, we developed and validated a novel cell-based high-throughput screen (HTS) for CpxRA activators. A screen of 36,000 compounds yielded one hit compound that increased reporter activity in wild-type cells. This is the first report of a compound that activates, rather than inhibits, a 2CSTS. The activity profile of the compound against CpxRA pathway mutants in the presence of glucose suggested that the compound inhibits CpxA phosphatase activity. We confirmed that the compound induced the accumulation of CpxR-P in treated cells. Although the hit compound contained a nitro group, a derivative lacking this group retained activity in serum and had lower cytotoxicity than that of the initial hit. This HTS is amenable for the screening of larger libraries to find compounds that activate CpxRA by other mechanisms, and it could be adapted to find activators of other two-component systems.

INTRODUCTION

The increasing prevalence of multidrug-resistant Gram-negative bacteria has prompted urgent calls for new antibiotics (1). Escherichia coli sequence type 131, a clonal group that expresses extended-spectrum β-lactamases (ESBLs) and quinolone resistance, has emerged as a major cause of community- and health care-associated urinary tract infections in the United States (24). The Klebsiella pneumoniae carbapenemase (KPC) has rendered some strains of K. pneumoniae resistant to all β-lactams, while the New Delhi metallo- (NDM-1) β-lactamase-containing plasmid has rendered some strains of E. coli and K. pneumoniae panresistant (59). These developments raise the specter that several common infections, such as urinary tract infections due to E. coli or K. pneumoniae, may soon be caused by organisms that are virtually untreatable (5, 8, 9).

The traditional approach to discover antibiotics has been to screen libraries of natural or synthetic products for bacterial killing activity in culture. Unfortunately, this strategy has yielded no new targets or classes of drugs for Gram-negative bacteria over the past 50 years (1012). More contemporary approaches are aimed at identifying inhibitors of novel targets essential for growth or virulence. Attractive targets include bacterial two-component signal transduction systems (2CSTS), which typically consist of a sensor kinase (SK) and a response regulator (RR), have no mammalian homologs, and involve the phosphorylation of amino acids that differ from the targets of mammalian phosphatases and kinases. Although several inhibitors of 2CSTS have antibacterial activity in vitro (1316), none have achieved clinical utility in humans. The failure to develop inhibitors may be due to the redundancy of 2CSTS or to the poor selectivity and bioavailability of these compounds, which target the hydrophobic active site of the SK (15, 16). Another approach has been to find nontraditional therapeutics that target 2CSTS and do not cause cell death but downregulate the expression of virulence factors (13, 16, 17). For example, inhibition of the 2CSTS QseBC by the small molecule LED209 increased survival in animals infected with Salmonella enterica serovar Typhimurium or Francisella tularensis (18, 19). Thus, there is a rationale to expand the repertoire of nontraditional therapeutics that target 2CSTS.

CpxRA is a 2CSTS that allows Gram-negative bacteria to sense and respond to envelope stress (2023). CpxA is an SK that spans the cytoplasmic membrane, and CpxR is its cognate RR. Upon sensing membrane stress, CpxA autophosphorylates on a conserved histidine residue and subsequently donates a phosphate group to a conserved aspartic acid residue on CpxR (20) (Fig. 1). In E. coli, to alleviate membrane stress, phosphorylated CpxR (CpxR-P) regulates the transcription of approximately 100 genes; genes that maintain envelope integrity are upregulated, whereas genes that encode secreted factors are downregulated (2426). In E. coli, CpxA activity is regulated by two upstream components, CpxP and NlpE (27) (Fig. 1). The periplasmic chaperone CpxP inhibits CpxA kinase activity. Misfolded proteins bind to CpxP and cause it to dissociate from CpxA, activating the system. By some unknown mechanism, surface adhesion induces the lipoprotein NlpE to activate CpxA.

FIG 1.

FIG 1

CpxRA two-component signal transduction system (27). In response to membrane stress, CpxP dissociates from CpxA. CpxA phosphorylates on a conserved histidine residue and donates a phosphate group to a conserved aspartic acid residue on CpxR (pathway 1, left). A PcpxP-lacZ transcriptional fusion serves as a reporter for CpxR activity. In response to glucose, CpxR can accept phosphoryl groups from acetyl phosphate (AcP), and transcription requires the acetylation of RNA polymerase (RNAP) and YfiQ (pathway 2, right) (29). Compounds that activate CpxRA might target CpxP, NlpE, CpxA, CpxR, or YfiQ (29).

In addition to being an SK, CpxA also has phosphatase activity for CpxR-P (20). In the absence of envelope stress, CpxA acts as a net phosphatase, and CpxR remains inactive. When wild-type cells are grown in minimal medium containing excess carbon, such as 0.4% glucose, CpxR is activated by accepting phosphoryl groups from small-molecule donors, such as acetylphosphate (AcP) (28) (Fig. 1). Glucose-induced activation requires the lysine acetyltransferase YfiQ (also known as Pka and PatZ) and the acetylation of lysine 298 of the RNA polymerase α-subunit but does not require CpxA (2830). A cpxA deletion mutant (ΔcpxA) responds more robustly to glucose than does its wild-type parent, because the ΔcpxA mutant lacks phosphatase activity and accumulates CpxR-P (28, 30). cpxA* alleles, which carry mutations in the region encoding the sensing domain, result in constitutive phosphorylation of CpxR; such mutants accumulate even higher levels of CpxR-P than do ΔcpxA mutants (21, 28).

CpxRA is found in many drug-resistant bacteria, including Haemophilus ducreyi, Neisseria gonorrhoeae, E. coli, and K. pneumoniae, and is highly conserved across the Enterobacteriaceae (21, 31). In several of these pathogens, activation of CpxR by the deletion of cpxA or by cpxA* mutations reduces the expression of virulence determinants, consistent with the fact that a major function of the system is to reduce protein flow to the periplasm. An H. ducreyi ΔcpxA mutant reduces the expression of seven virulence determinants that are required for human infection (3234). When inoculated into the skin of human volunteers, the H. ducreyi ΔcpxA mutant is avirulent (32). In contrast, an H. ducreyi ΔcpxR mutant, which maintains wild-type levels of virulence determinant expression, is fully virulent in humans (33, 35). Similarly, constitutive activation of CpxRA abolishes S. enterica serovar Typhimurium virulence in mice (36). Mice fed a lethal dose of the wild type and ΔcpxR mutant become infected, while those fed similar doses of the ΔcpxA and cpxA* mutants do not (36). Furthermore, ΔcpxA mutants of uropathogenic E. coli (UPEC) and N. gonorrhoeae are outcompeted by the wild type by three orders of magnitude in their respective murine infection models (A. Jerse and S. Spinola, unpublished data, and H. Mobley and S. Spinola, unpublished data). Taken together, these data led us to hypothesize that activating CpxRA may be a broadly applicable antivirulence strategy and that compounds that pharmacologically activate CpxRA will downregulate virulence determinants and allow the host immune response to clear the infection.

To begin testing this hypothesis, we developed a high-throughput screen (HTS) to detect compounds that activate CpxRA using an E. coli strain containing a CpxR-responsive lacZ reporter (27). To identify the components required for compound-induced activation, we used an isogenic set of cpxRA mutants. Finally, we present validation of the screen and the strategy used to characterize the targets of hit compounds. The screen should be amenable for the discovery of compound leads with the potential to cripple the virulence of multidrug-resistant Gram-negative pathogens.

MATERIALS AND METHODS

Bacterial and mammalian cell growth conditions.

The bacterial strains used in this study are listed in Table 1. The transcriptional fusion reporter strains (27, 29, 37) and the anti-maltose binding protein (MBP)-CpxR antibody (38) were generous gifts from Thomas Silhavy (Princeton University, Princeton, NJ, USA). Bacteria were grown at 37°C in TB7, a medium containing 1% (wt/vol) tryptone and buffered to pH 7.0 with potassium phosphate (100 mM). HepG2 hepatocellular carcinoma cells were a generous gift from Andy Yu (Indiana University, Indianapolis, IN, USA) and were grown in RPMI 1600 medium (Gibco) containing 10% fetal calf serum (Sigma) and 1 mM sodium pyruvate (Sigma) at 37°C with 5% CO2.

TABLE 1.

E. coli strains used in this study

Strain Description Reference or source
PAD282 MC4100 [F− araD139 Δ(argF-lac)U169 rpsL150 (Strr) relA1 flhD5301 deoC1 ptsF25 rbsR] λRS88 (cpxP′-lacZ)a 27
PAD292 PAD282 cpxR1::spc (spectinomycin insertion in cpxR with polar effect on cpxA) 27
PAD348 PAD282 cpxA::cam DiGiuseppe and Silhavy (Princeton University)
PAD455 PAD282 cpxA24 zii::Tn10 37
PAD485 PAD282 nlpE::spc 27
PAD488 PAD282 cpxP::kan 27
AJW3142 PAD282 yfiQ::kan 29
TR48 PAD282 cpxA101 lamBA23D zjb::Tn10Kn 20
a

Strr, streptomycin resistant.

β-galactosidase assay.

The E. coli PcpxP′-lacZ reporter strains were cultured overnight at 37°C in TB7 supplemented with 0.4% glucose. The following day, the cultures were diluted to an optical density at 600 nm (OD600) of 0.1 in 1.7× TB7 with glucose, and 30 μl of the diluted culture were distributed to wells of a 384-well plate containing 20 μl of vehicle or compound and grown at 37°C without shaking. After 5 h, 50 μl of All-in-One β-galactosidase reagent (Pierce), which was diluted 2.5-fold with TB7 medium, was added. The OD420, OD550, and OD600 of the wells were measured using a Molecular Devices SpectraMax 384 spectrophotometer, and the Miller units (MU) were calculated as described previously (39). When appropriate, 10% (vol/vol) human AB serum (HyClone) was supplemented. The effect of 10% serum on the activity of the compound was analyzed using a mixed-effects analysis of variance (ANOVA) model.

Z′-factor calculation.

Each 384-well plate was loaded with the wild type, ΔcpxA, or cpxA* (PAD455) strain in 22 columns, and medium controls were placed in the remaining 2 columns. The growth conditions were as described for the β-galactosidase assays. The Z′ factor is defined as 1 − [(3 SD of sample + 3 SD of control)/(mean of sample − mean of control)] (SD, standard deviation) and was calculated as described previously (40) from the results from two independent experiments.

Compound collection.

We screened 36,000 compounds of a library containing approximately 225,000 compounds obtained from the ChemBridge and ChemDiv collections, housed at the Indiana University Chemical Genomics Core Facility. The library contains nonredundant drug-like small-molecule compounds and provides significant diversity with a multidimensional chemical space. The compounds in the library obey Lipinski's rules for good solubility, absorption, distribution, metabolism, and excretion profiles (41). Commercially available hit compounds, including compound 1, and analogs, including compounds 1a and 1b, were purchased from ChemBridge Hit2Lead, TimTec, or ChemDiv and dissolved in dimethyl sulfoxide (DMSO).

High-throughput screen.

A Tecan Freedom EVO robotic liquid handling device was used to transfer 20 μl of 15 μg/ml compound solutions in single wells of columns 1 to 22 of a 384-well plate. The wells in columns 23 and 24 received sterile vehicle. Wild-type bacteria were delivered to all other wells, except for the controls, which contained medium only or the untreated ΔcpxA mutant. The growth conditions were as described for the β-galactosidase assays. The final concentration of each compound was 6 μg/ml (approximately 15 μM), and the final concentration of DMSO was 0.5%. Compounds were defined as hits if their treatment met two criteria: (i) it must increase the β-galactosidase activity (in Miller units) of the wild type more than the mean plus three standard deviations of the activity of the untreated wild-type wells, and (ii) it must not decrease growth (in optical density at 600 nm) more than the mean minus three standard deviations of the untreated ΔcpxA mutant on the plate. During rescreening of hit compounds and the testing of new compounds, the Miller units were determined at the beginning of the assay and before and after treatment with the β-galactosidase reagent to exclude compounds that are intrinsically yellow in color.

Bacterial viability assays.

To determine the compound effect on bacterial viability, cultures were treated with vehicle or compound, and the CFU per milliliter were determined at 0 and 5 h. For the CFU counts, 10 μl of multiple serial dilutions were plated on LB agar and grown at 37°C overnight. Ciprofloxacin (2.5 μM) was used as a control for cell death.

CpxRA pathway mutant assay.

The β-galactosidase activity (in Miller units) of the wild-type and cpxRA pathway mutant reporter strains was measured in the presence or absence of 0.4% glucose and in the presence of DMSO or 80 μM compound dissolved in DMSO. The fold change was determined by dividing the Miller units obtained in the presence of compound by the Miller units in DMSO only. The fold change data were analyzed using a mixed-model ANOVA with experiment as a random effect to account for within-experiment correlations; they were adjusted for multiple comparisons using Dunnett's procedure.

Detection of phosphorylated CpxR.

Wild-type and ΔcpxA bacteria were grown overnight in side-arm flasks in TB7 broth without glucose and diluted to an OD600 of about 0.1 in 1.7× TB7 supplemented with glucose. To each well of a 384-well plate, 30 μl of this dilution was added to 20 μl of compound 1 (80 μM) dissolved in DMSO or of DMSO alone (192 wells for each strain/treatment). After 5 h of incubation at 37°C, the wells were pooled and harvested by centrifugation. All processing was carried out at 4°C. The cells were washed once in phosphate-buffered saline (pH 7.4) and suspended in 2× Laemmli lysis buffer, according to the bacterial pellet weight. As controls, 10 µM His6-CpxR, expressed and purified as previously described (30), was incubated with 0 or 20 mM AcP at 30°C for 15 min (30). Twenty-microliter and 5-μl aliquots of each cell lysate and AcP treatment, respectively, were separated on a Phos-tag gel, which was prepared according to the procedure described by Lima and colleagues (30) and the manufacturer's protocol, with some modifications. Phos-tag acrylamide was purchased from Wako. The stacking gel contained 4% acrylamide/bis-acrylamide prepared in 350 mM bis-Tris (pH 6.8). The separating gel contained 10% acrylamide/bis-acrylamide, 25 μM Phos-tag acrylamide, and 50 μM Zn(NO3) prepared in 350 mM bis-Tris (pH 6.8), and was degassed with stirring for 2 min prior to pouring. The gel was run at 4°C in morpholinepropanesulfonic acid (MOPS) buffer (0.1 M MOPS, 0.1 M Tris, 5 mM sodium bisulfite, and 0.1% SDS) for 2 to 3 h at 40 milliamps, and the buffer was refreshed each hour. The gel was washed for 15 min in Towbin transfer buffer containing 1 mM EDTA and then for 30 min in standard Towbin transfer buffer. The proteins were transferred to a polyvinylidene difluoride membrane using a wet transfer method. Tris-buffered saline containing 0.1% Tween 20 (TBST) was used for washing, and TBST supplemented with 5% skim milk was used for blocking and antibody incubations. The membrane was blocked for 1 h and probed overnight at 4°C with 1:10,000 anti-MBP-CpxR antibody. The secondary antibody goat anti-rabbit IgG-horseradish peroxidase conjugate was used at a 1:5,000 dilution for 1 h at room temperature. Densitometry values were determined using Photoshop, and the ratio of CpxR-P to CpxR was analyzed by a one-tailed paired Student's t test.

Cytotoxicity assay.

To measure cytotoxicity, 20,000 HepG2 (50 μl for the 5-h assay and 100 μl for the 24-h assay) cells were plated per well of tissue culture-treated 96-well plates and allowed to adhere for 3 h. The cells were treated with an equal volume of medium containing either 1% DMSO (vehicle control) or 2× compound, such that the final concentration of DMSO was 0.5%. After 5 and 24 h, lactate dehydrogenase (LDH) release was measured using the CytoTox 96 nonradioactive cytotoxicity assay (Promega), according to the manufacturer's instructions. We determined the percent cell death by adjusting the vehicle-treated and Triton X-100-treated cells to 0 and 100% death, respectively. The 50% inhibitory concentration (IC50) after 24 h of incubation was determined using the GraphPad Prism 6.0 software. The relative cytotoxicities of compounds 1 and 1a were analyzed using a mixed-effects ANOVA model.

RESULTS

Development and validation of a HTS assay for CpxR activators.

In E. coli, cpxP is the promoter most highly upregulated by phosphorylated CpxR (25). To detect CpxR activation, we used an isogenic set of E. coli reporter strains that contain a chromosomal cpxP promoter-lacZ fusion (27) (Fig. 1). We developed a 384-well plate assay to detect compounds that activate the reporter in the wild type, using either the ΔcpxA or the cpxA* mutants as standards for cpxP transcription and growth. The assay was performed in TB7 broth containing 0.4% glucose, which fosters the formation of AcP. We reasoned that this growth condition would allow the detection of compounds that activate CpxR by augmenting CpxA kinase activity or inhibiting CpxA phosphatase activity.

After 5 h of growth in the glucose-enriched medium, the β-galactosidase activity of the ΔcpxA and cpxA* mutants was approximately 10- and 20-fold greater, respectively, than that of their wild-type parent (Fig. 2A and B). The quality of our assay was assessed by calculating the Z′ factor using the Miller units of the wild-type and the ΔcpxA and cpxA* mutants (Fig. 2A and B). A Z′ factor of ≥0.5 is suitable for HTS (40); our calculated Z′ factor was 0.5 for the ΔcpxA mutant and 0.55 for the cpxA* mutant, indicating that the assay distinguished between baseline and enhanced CpxRA activity. As expected, the ΔcpxR mutant exhibited less β-galactosidase activity than that of its wild-type parent (data not shown). On the basis of these data, the first criterion for a compound to be considered a hit was that it must increase β-galactosidase activity (in Miller units) of the wild type more than the mean plus three times the standard deviation of the activity of the untreated wild type.

FIG 2.

FIG 2

Development of screening assay for CpxA activators. (A and B) β-Galactosidase activity of 352 wells containing the wild type was plotted with 384 wells each of the ΔcpxA (A) and cpxA* (B) mutants. The graphs are representative of the results from 2 independent experiments; average Z′ factors were 0.5 and 0.55 for ΔcpxA and cpxA*, respectively. (C and D) Corresponding growth (optical density at 600 nm) of the wild type was plotted with the ΔcpxA (C) and cpxA* (D) mutants. The graphs are representative of the results from 2 independent experiments. ○, untreated wild type; ⬥, ΔcpxA mutant; ■, cpxA* mutant; solid horizontal lines, mean values of the Miller units (A and B) and OD600 (C and D) for each strain; dashed lines, 3 standard deviations from the mean.

In interpreting the results of the HTS, we considered the fact that antibiotics indirectly activate CpxRA (42, 43). For example, gentamicin induces protein mistranslation and fosters the translocation of misfolded proteins to the periplasm, activating the system (44). To exclude indirect activators, such as antibiotics, we established growth parameters for the screen. After 5 h, the average optical density at 600 nm of the wild type and the ΔcpxA and cpxA* mutants was 0.5 ± 0.03 (mean ± standard deviation), 0.24 ± 0.01, and 0.21 ± 0.01, respectively (Fig. 2C and D). The growth impairment in the activating mutants suggested that compounds that activate CpxR in the wild type would likely reduce growth to the extent seen in the ΔcpxA or cpxA* mutants. Thus, a second criterion for a compound to be considered a hit is that it may not inhibit the growth of the wild type more than the mean minus three times the standard deviation of the growth of the cpxA* mutant.

We performed a mock screen in which the wild type was inoculated in 372 wells of the plate, and the ΔcpxA and cpxA* mutants were inoculated in 5 wells each. After 5 h of growth, the reporter activity of the mutants was clearly distinguishable from that of the wild type (Fig. 3). Thus, compounds that activate CpxRA in the wild type should be distinguishable from background.

FIG 3.

FIG 3

Validation of HTS assay. β-Galactosidase activity of 372 wells of the wild type (○) and 5 wells each of the cpxA* (♦) and cpxA (■) mutants.

Whole-cell screen for CpxRA activators.

A 36,000-compound small-molecule library was screened at approximately 15 μM for the induction of β-galactosidase activity in the wild-type reporter strain; each compound was tested in a single well. This screen resulted in 340 putative hits. Of 324 compounds available for rescreening, 10 activated the reporter and did not inhibit growth by optical density at 600 nm criterion (Table 2) and satisfied both hit criteria. As controls, we included the bactericidal antibiotic ciprofloxacin and the bacteriostatic antibiotic spectinomycin; both antibiotics activated the reporter in the wild type and caused complete growth inhibition (Table 2). The 10 hit compounds belonged to three structural groups: six nitroaniline/nitroindole derivatives, three quinolone derivatives, and one furoxan-pyridazine compound that has vasorelaxant activity (45).

TABLE 2.

Structure, compound-induced activity (Miller units), and growth (OD600) of compound-treated cells relative to wild type in the confirmatory assay

graphic file with name zac00715-3789-t02.jpg

a

A, B, and C are the 3 classes of hits identified in the high-throughput screen: nitroaromatics, quinolones, and the furoxan-pyridazine compound, respectively.

b

ID, identification; CB, ChemBridge; CD, ChemDiv.

c

MU, Miller units; WT, wild type.

We tested the 10 initial hits and 88 commercially available analogs, including 80 nitroanilines/nitroindoles, 17 quinolones, and the furoxan-pyridazine compound. We performed dose-response studies from 1 nM to 100 μM. Most compounds reproducibly activated the reporter in the wild type in concentrations ranging from 10 to 100 μM (data not shown). Importantly, no compounds increased reporter activity in the ΔcpxR mutant (data not shown and Fig. 4A), validating the specificity of the screening assay.

FIG 4.

FIG 4

Compound 1 activates CpxRA. Shown are the dose responses of compound 1 (A) and ciprofloxacin (B) with wild-type (WT) and ΔcpxR reporter strains. The reporter activity was determined after 5 h of incubation with increasing concentrations of compound 1 or ciprofloxacin. Data are means ± standard deviations from three independent experiments. The dashed lines represent the mean plus and minus three standard deviations of the untreated ΔcpxA mutant.

The three most potent compounds in terms of cpxP transcription that also passed the growth inhibition criterion included two nitroindoles and one quinolone. At concentrations ranging from 5 to 80 μM compound, we measured the viable CFU of the treated wild type and that of the untreated wild type and the ΔcpxA and ΔcpxR mutants. By quantitative culture, after 5 h, the untreated wild type increased CFU counts by 42-fold, the ΔcpxR mutant by 20-fold, and the ΔcpxA mutant by 13-fold (data not shown). In contrast, the CFU of the ciprofloxacin-treated wild type decreased almost 105-fold (data not shown). At their optimal activating concentrations, the candidate quinolone and one candidate nitroindole caused a 102-fold reduction in viable CFU (data not shown), suggesting that they activated the system by killing the bacteria and were not valid candidates. However, in the presence of 40 μM the other candidate nitroindole (6-nitro-2,3,4,9-tetrahydro-1H-carbazol-1-amine; catalog no. 5302860; ChemBridge), here referred to as “compound 1,” the wild-type CFU increased 4.5-fold (data not shown), suggesting that compound 1 was not activating the system through an antibiotic effect.

Characterization of compound 1.

Since compound 1 activated cpxP transcription and permitted bacterial growth, we performed dose-response assays in the wild type and ΔcpxR mutant; the untreated ΔcpxA mutant was included for comparison. A dose-dependent increase in reporter activity was observed in wild-type bacteria but not in the ΔcpxR mutant (Fig. 4A). In the presence of the highest concentrations of the compound, reporter activity in the wild type was induced to levels higher than those observed in the untreated ΔcpxA mutant (Fig. 4A, dashed lines). In contrast, the antibiotic ciprofloxacin induced reporter activity similar to the lower level of activity observed in the ΔcpxA mutant. No additional reporter activity was observed at concentrations of >5 μM ciprofloxacin, likely due to its bactericidal activity (Fig. 4B).

Wild-type bacteria treated with compound 1 mimicked the β-galactosidase activity and growth observed with the ΔcpxA mutant; thus, we hypothesized that the compound inhibited CpxA phosphatase activity. If this were true, compound 1 should activate the reporter only in the presence of glucose, CpxA, CpxR, and YfiQ (29). Therefore, we treated the wild-type strain and its isogenic ΔcpxA, ΔcpxR, and ΔyfiQ mutants grown in the presence or absence of glucose with 80 μM compound 1. We calculated the fold change in reporter activity in compound-treated versus untreated wells. Compound 1 maximally activated the reporter in the presence of glucose in the wild type (P = 0.001) (Fig. 5A); it was not active in the ΔcpxA (P < 0.0001), ΔcpxR, or ΔyfiQ mutants, suggesting that compound 1 likely targeted CpxA. To investigate potential upstream targets, 80 μM compound 1 was tested with the ΔnlpE and ΔcpxP reporter strains (27). The fold change increase in β-galactosidase activity in the ΔnlpE and ΔcpxP mutants was not significantly different than the activity in their wild-type parent (data not shown). Taken together, the data suggest that compound 1 either generates a CpxA-activating signal or inhibits CpxA phosphatase activity.

FIG 5.

FIG 5

Compound 1 activity requires glucose, CpxA, CpxR, YfiQ, and CpxA phosphatase activity. The fold changes in reporter activity after treatment with 80 μM compound 1 in the presence or absence of glucose in wild type (WT) and the ΔcpxA, ΔcpxR, and ΔyfiQ mutants (A) or in WT and the cpxA101 mutant (B) are shown. For each strain, the fold change was calculated by dividing the β-galactosidase activity (in Miller units) of the compound-treated wells by the Miller units of the untreated wells. The data are the average and standard deviation from three independent experiments.

To test the hypothesis that compound 1 inhibits CpxA phosphatase activity, we used the cpxA* allele cpxA101 (20). In vitro phosphorelay assays showed that CpxA101 retains autokinase and CpxR kinase activity but lacks CpxR-P phosphatase activity (20). We treated the wild-type strain and the cpxA101 mutant in the presence or absence of glucose with 80 μM compound 1 and calculated the fold change in reporter activity in compound-treated versus untreated wells. As observed previously, the compound maximally activated the reporter in wild-type bacteria in the presence of glucose, whereas significantly less activity was observed in the absence of glucose (P < 0.0001) (Fig. 5B). In contrast, the compound-induced reporter activity did not differ in the presence or absence of glucose in the cpxA101 mutant (Fig. 5B). The compound-induced reporter activity of the wild type was significantly higher than that in the cpxA101 mutant (P < 0.0001) (Fig. 5B). These results also suggested that compound 1 predominantly acts by inhibiting CpxA phosphatase activity.

Compound 1 causes accumulation of phosphorylated CpxR.

We reasoned that if compound 1 inhibits CpxA phosphatase activity, it should induce an increase in CpxR-P levels. Lima and colleagues (30) recently used Phos-tag SDS-PAGE to detect CpxR-P in E. coli grown in the presence of 0.4% glucose. To test if compound 1 induces CpxR-P accumulation, we cultured the wild type in the presence of 0.4% glucose and with or without 80 μM compound 1. As controls, we included recombinant CpxR that was untreated or treated with 20 mM AcP, along with the untreated ΔcpxA mutant grown in the presence of glucose. We harvested the cells after 5 h, prepared cell lysates, separated proteins by Phos-tag SDS-PAGE, and detected endogenous CpxR and CpxR-P by Western immunoblot with anti-MBP-CpxR antiserum. As shown in Fig. 6A, the treatment of CpxR with AcP increased the fraction of CpxR-P. Treatment with compound 1 induced an accumulation of CpxR-P levels in wild-type cells equivalent to that in the activated ΔcpxA mutant. Total CpxR levels were higher in the ΔcpxA mutant and treated wild type, consistent with the fact that CpxR-P positively autoregulates its transcription. To accurately compare the samples, the two CpxR fractions were quantified by densitometry. Compared to the untreated wild type, compound 1 treatment trended toward increasing the ratio of CpxR-P to CpxR in the wild type by 3-fold (P = 0.057) (Fig. 6B).

FIG 6.

FIG 6

Compound 1 induces phospho-CpxR accumulation. (A) Composite representative Western blot of His6CpxR incubated with 0 or 20 mM AcP, and the ΔcpxA mutant and WT grown in medium with 0.4% glucose and 0 or 80 μM compound. Note that His6CpxR migrates slower than native CpxR. (B) The ratio of CpxR-P to CpxR was determined using densitometry; the data are the mean and standard deviation results from 4 independent experiments.

Activity of compound 1 derivatives.

To determine whether the nitro and amine moieties of compound 1 were necessary for activity, we obtained two derivatives: compound 1a (2,3,4,9-tetrahydro-1H-carbazol-1-amine; catalog no. 8019-9961; ChemDiv), which lacks the nitro group, and compound 1b (3-nitro-5,6,7,8,9-pentahydro-4aH-carbazole; catalog no. ST024298; TimTec), which lacks the amine group (Fig. 7A). The activity of the three compounds was evaluated in the wild-type reporter strain in the presence of 0.4% glucose. The activity of compound 1a was not significantly different than that of compound 1, whereas compound 1b elicited little reporter activity (P < 0.005 versus compound 1 and P = 0.007 versus compound 1a) (Fig. 7B). Thus, activation of the reporter depended on the presence of the amine group and not the nitro group. Using the maximum reporter activity induced by each compound, we estimate the 50% effective concentrations (EC50s) to be 25 and 30 μM for compounds 1 and 1a, respectively. By quantitative culture, wild-type bacteria grew 5.3-fold in the presence of 40 μM compound 1a. Thus, the CpxRA activation induced by compound 1a mimics that of compound 1.

FIG 7.

FIG 7

Activity of compound 1 and derivatives. (A) Structure of compound 1 and derivatives lacking the nitro group (1a) or the amine group (1b). (B) Reporter activity in wild-type E. coli after 5 h of incubation with increasing concentrations of compounds 1, 1a, and 1b. The data are the mean and standard deviation of the results from three independent experiments. The activity of compounds 1 and 1a was not significantly different, whereas the activity of compound 1b was reduced compared to that of compound 1 (P < 0.005).

Activity in surrogate mammalian systems.

To determine the potential utility of this class of compounds in a mammalian model, we next assessed their activity in the presence and absence of 10% human AB serum. Whereas the presence of serum trended toward reducing the activity of compound 1 (P = 0.058) (Fig. 8A), the activity of compound 1a was not significantly reduced in the presence of serum (Fig. 8B). These results suggested that compound 1a could be active in vivo.

FIG 8.

FIG 8

Compound activity in 10% serum and cytotoxicity with HepG2 cells. (A and B) Fold change in reporter activity of wild type after treatment with increasing concentrations of compound 1 (A) or 1a (B) in the presence or absence of 10% human AB serum. For both conditions, the fold change was calculated by dividing the β-galactosidase (β-gal) activity (in Miller units) in the compound-treated wells by the Miller units of the untreated wells. The data are the mean and standard deviation values from three independent experiments. The presence of serum trended toward reducing compound 1 activity (P = 0.058), whereas the activity of compound 1a was not significantly affected by the presence of serum. (C and D) Cytotoxicity of compounds 1 and 1a with HepG2 cells. Hepatocellular carcinoma HepG2 cells were treated with compounds 1 and 1a for 5 h (C) and 24 h (D). Cell viability was determined by LDH release. The data are the mean and standard deviation values from four independent experiments. The cytotoxicity caused by compound 1a was significantly less than that by compound 1 after 24 h of incubation (P = 0.03). Note the scale-adjusted ordinate axis for panels C and D.

After validating the compound activity in serum, we next assessed their effects on mammalian cell viability. The cytotoxicity of compounds 1 and 1a was determined using HepG2 hepatocellular carcinoma cells. HepG2 cells were treated with increasing concentrations of compounds 1 and 1a for 5 and 24 h. Cell viability was determined by measuring LDH release via 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) reduction. After 5 h, compounds 1 and 1a caused <10% and 5% cell death, respectively (P = 0.21). After 24 h, compound 1 had an IC50 of 63 μM, whereas compound 1a was less cytotoxic, with an IC50 of 139 μM (P = 0.03) (Fig. 8C). Thus, the cytotoxicity of compound 1 after 24 h of incubation was reduced with the removal of the nitro group, consistent with the fact that nitro groups are often implicated in cytotoxicity (46).

DISCUSSION

Because bacterial 2CSTS frequently have essential functions and lack mammalian homologs, there has been considerable interest in targeting 2CSTS for antimicrobials (1315, 18, 47). The mode of action of reported 2CSTS-targeted compounds is the inhibition of SK activity or interference with the binding of the RR to its promoter (16, 18, 48). To the best of our knowledge, this is the first report describing a compound that activates, rather than inhibits, a 2CSTS.

In this study, we developed and validated a novel HTS based on genetic activation of the cpxRA system. We established growth and reporter activity cutoffs using the untreated wild type and ΔcpxA and cpxA* mutants grown in the presence of glucose. As shown in Fig. 2 and 3, reporter activity in the ΔcpxA and cpxA* mutants was readily distinguishable from the wild-type reporter activity, providing a robust HTS assay. The facile nature of the β-galactosidase assay makes this a broadly applicable screening strategy.

Most biochemical screens performed in our core facility have typical hit rates of 0.1 to 0.2%. Our limited screen of 36,000 compounds yielded 340 hits, 10 of which were confirmed, giving a hit rate of 0.027%. Performing the screen in wild-type E. coli may account for the low hit rate, due to limited uptake and/or efflux of the small molecules. The archetype of multidrug efflux pumps in Enterobacteriaceae is the AcrAB-TolC system; inactivation of these transporters increases susceptibility to multiple antibacterial agents (reviewed in references 49 and 50). By allowing more compounds to reach their intracellular target, E. coli mutants lacking AcrAB or TolC are frequently used in HTS assays to increase the hit rate. However, the deletion of tolC activates the CpxRA system in E. coli (51). Similarly, CpxRA is activated by the deletion of the efflux pump genes mtrC in H. ducreyi (52) and vexAB or vexGH in Vibrio cholerae (53). Thus, wild-type bacteria must be used to identify CpxRA activators.

A major advantage of our cell- and reporter-based screening assay is its ability to identify compounds that specifically activate the CpxRA system. In theory, hit compounds might target different members of the Cpx pathway (i.e., CpxP, NlpE, CpxA, and CpxR), the acetyltransferase YfiQ, or enzymes involved in central metabolism. None of the hit compounds increased reporter activity in the ΔcpxR mutant (data not shown and Fig. 4A), confirming the specificity of our assay. The availability of an isogenic set of cpxRA pathway mutants bearing the reporter allowed us to infer the likely mechanism of action of the hits. Using these mutants, we demonstrated that compound 1 requires cpxR, cpxA, yfiQ, and glucose for activity but does not require nlpE or cpxP (Fig. 5A). Furthermore, the compound was not active in the cpxA101 mutant, which lacks phosphatase activity (Fig. 5B). Taken together, the data suggest that compound 1 targets CpxA and likely inhibits its phosphatase activity.

ΔcpxA-activating mutants in E. coli and Yersinia pseudotuberculosis accumulate CpxR-P (30, 54). We detected a trend for a compound-induced increase in the phosphorylated fraction of CpxR to levels comparable to those in the untreated ΔcpxA mutant (Fig. 6). Increased CpxR-P levels are consistent with the observed increased transcription from the cpxP promoter. Although the genetic and cell-based assays described here provide preliminary identification of targets, biochemical characterization is necessary to elucidate the mode of action of the compound. In vitro phosphorelay assays are under way to elucidate the effect of compound treatment on CpxA enzymatic activity.

The activity of a compound in the presence of serum is important when considering potential efficacy in vivo. The presence of 10% human serum reduced compound 1 activity by approximately 50%. In contrast, compound 1a retained full activity in the presence of serum (Fig. 8A and B). Thus, compound 1a does not appear to nonspecifically bind to or react with proteins found in serum. Since the compounds retained activity in serum, it was appropriate to examine cytotoxicity. HepG2 hepatocellular carcinoma cells were chosen as the model because the liver metabolizes most drugs. As nitro groups are known to be cytotoxic (46), it is not surprising that removal of the nitro group relieved the cytotoxicity of compound 1 >2-fold (Fig. 8C and D). Thus, compound 1a is an optimized first-generation derivative: it activates CpxRA, retains complete activity in serum, and is less cytotoxic than compound 1. In a 5-h assay, 80 μM compound 1a maximally activated CpxRA and caused negligible cell death (2.2%). Thus, medicinal optimization is under way to develop compound 1a into a highly potent lead compound.

A consideration for the clinical utility of cpxRA activators is the recent implication of the requirement of cpxRA activation in the mode of action of bactericidal antibiotics. Some studies suggest that bactericidal antibiotics kill E. coli through a “final common death pathway,” which is mediated in part by cpxRA activation and is inhibited by the deletion of cpxA or cpxR (42, 43, 55). However, Mahoney and Silhavy (44) showed that cpxR is not required for killing by bactericidal antibiotics and that an E. coli cpxA* mutant is as susceptible to ampicillin and norfloxacin as the wild type (44). However, a cpxA* mutant is less susceptible to gentamicin than the wild type, perhaps because the preactivation of CpxR by CpxA* prevents membrane damage induced by the misfolded proteins (44). Although an E. coli ΔcpxA mutant is less susceptible than the wild type to 5 μg/ml gentamicin, the cpxA* mutant is as susceptible as the wild type to 15 μg/ml gentamicin (43), a level that is exceeded clinically with once-daily dosing regimens. Thus, depending on the level of activation and the antibiotic concentration, activating compounds may interfere with aminoglycosides but not with other antibiotics.

In conclusion, we developed a robust screening strategy to identify and characterize CpxRA activators. We plan to extend our HTS and confirmatory screening assay to identify more potent activators of the cpxRA system. As CpxA is highly conserved in Enterobacteriaceae, a compound that targets CpxA would likely have a broad spectrum of activity. Since cpxA* mutants show the highest level of CpxR activation, compounds that enhance CpxA kinase activity would likely be more potent than a CpxA phosphatase inhibitor. Compound 1a and other activators will serve as valuable probes to further study the role of cpxRA in pathogenesis and to address the utility of cpxRA activation as a nontraditional antimicrobial strategy. We have named this new class of drugs astabiotics (antimicrobial signal transduction activator-biotics). If our approach is successful, astabiotics could be sought for different targets in other bacterial pathogens and potentially revolutionize the field. For example, Pseudomonas aeruginosa contains a 2CSTS, AmgRS, which, although not homologous to CpxRA, controls a similar set of genes to combat envelope stress (56). Inhibitors of AmgRS are being studied to enhance the efficacy of aminoglycosides; however, activators of AmgRS might have antimicrobial effects in vivo.

ACKNOWLEDGMENTS

This work was supported by the Indiana Clinical and Translational Sciences Institute (CTSI) and funded in part by a Project Development Teams (PDT) pilot grant (TR000006) and the IUPUI Funding Opportunities for Research Commercialization and Economic Success (FORCES).

We thank Thomas Silhavy for the cpxRA pathway mutants and Andy Yu for the HepG2 cell line. We thank Paul Hergenrother, Margaret Bauer, Dharanesh Gangaiah, and Concerta Holley for their thoughtful criticism of the manuscript.

REFERENCES

  • 1.Boucher HW, Talbot GH, Bradley JS, Edwards JE, Gilbert D, Rice LB, Scheld M, Spellberg B, Bartlett J. 2009. Bad bugs, no drugs: no ESKAPE! An update from the Infectious Diseases Society of America. Clin Infect Dis 48:1–12. doi: 10.1086/595011. [DOI] [PubMed] [Google Scholar]
  • 2.Banerjee R, Johnston B, Lohse C, Porter SB, Clabots C, Johnson JR. 2013. Escherichia coli sequence type 131 is a dominant, antimicrobial-resistant clonal group associated with healthcare and elderly hosts. Infect Control Hosp Epidemiol 34:361–369. doi: 10.1086/669865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Doi Y, Park YS, Rivera JI, Adams-Haduch JM, Hingwe A, Sordillo EM, Lewis JS Jr, Howard WJ, Johnson LE, Polsky B, Jorgensen JH, Richter SS, Shutt KA, Paterson DL. 2013. Community-associated extended-spectrum β-lactamase-producing Escherichia coli infection in the United States. Clin Infect Dis 56:641–648. doi: 10.1093/cid/cis942. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Johnson JR, Johnston B, Clabots C, Kuskowski MA, Castanheira M. 2010. Escherichia coli sequence type ST131 as the major cause of serious multidrug-resistant E. coli infections in the United States. Clin Infect Dis 51:286–294. doi: 10.1086/653932. [DOI] [PubMed] [Google Scholar]
  • 5.Rice LB. 2009. The clinical consequences of antimicrobial resistance. Curr Opin Microbiol 12:476–481. doi: 10.1016/j.mib.2009.08.001. [DOI] [PubMed] [Google Scholar]
  • 6.Chen LF, Chopra T, Kaye KS. 2009. Pathogens resistant to antibacterial agents. Infect Dis Clin North Am 23:817–845. doi: 10.1016/j.idc.2009.06.002. [DOI] [PubMed] [Google Scholar]
  • 7.Nicasio AM, Kuti JL, Nicolau DP. 2008. The current state of multidrug-resistant Gram-negative bacilli in North America. Pharmacotherapy 28:235–249. doi: 10.1592/phco.28.2.235. [DOI] [PubMed] [Google Scholar]
  • 8.Fox JL. 2010. Pan-resistant plasmid, other resistances raise renewed alarms. Microbe 5:506–508. [Google Scholar]
  • 9.Kumarasamy KK, Toleman MA, Walsh TR, Bagaria J, Butt F, Balakrishnan R, Chaudhary U, Doumith M, Giske CG, Irfan S, Krishnan P, Kumar AV, Maharjan S, Mushtaq S, Noorie T, Paterson DL, Pearson A, Perry C, Pike R, Rao B, Ray U, Sarma JB, Sharma M, Sheridan E, Thirunarayan MA, Turton J, Upadhyay S, Warner M, Welfare W, Livermore DM, Woodford N. 2010. Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study. Lancet Infect Dis 10:597–602. doi: 10.1016/S1473-3099(10)70143-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bumann D. 2008. Has nature already identified all useful antibacterial targets? Curr Opin Microbiol 11:387–392. doi: 10.1016/j.mib.2008.08.002. [DOI] [PubMed] [Google Scholar]
  • 11.Fischbach MA, Walsh CT. 2009. Antibiotics for emerging pathogens. Science 325:1089–1093. doi: 10.1126/science.1176667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lewis K. 2013. Platforms for antibiotic discovery. Nat Rev Drug Discov 12:371–387. doi: 10.1038/nrd3975. [DOI] [PubMed] [Google Scholar]
  • 13.Barrett JF, Hoch JA. 1998. Two-component signal transduction as a target for microbial anti-infective therapy. Antimicrob Agents Chemother 42:1529–1536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Watanabe T, Okada A, Gotoh Y, Utsumi R. 2008. Inhibitors targeting two-component signal transduction. Adv Exp Med Biol 631:229–236. doi: 10.1007/978-0-387-78885-2_16. [DOI] [PubMed] [Google Scholar]
  • 15.Schreiber M, Res I, Matter A. 2009. Protein kinases as antibacterial targets. Curr Opin Cell Biol 21:325–330. doi: 10.1016/j.ceb.2009.01.026. [DOI] [PubMed] [Google Scholar]
  • 16.Gotoh Y, Eguchi Y, Watanabe T, Okamoto S, Doi A, Utsumi R. 2010. Two-component signal transduction as potential drug targets in pathogenic bacteria. Curr Opin Microbiol 13:232–239. doi: 10.1016/j.mib.2010.01.008. [DOI] [PubMed] [Google Scholar]
  • 17.Rasko DA, Sperandio V. 2010. Anti-virulence strategies to combat bacteria-mediated disease. Nat Rev Drug Discov 9:117–128. doi: 10.1038/nrd3013. [DOI] [PubMed] [Google Scholar]
  • 18.Rasko DA, Moreira CG, Li de R, Reading NC, Ritchie JM, Waldor MK, Williams N, Taussig R, Wei S, Roth M, Hughes DT, Huntley JF, Fina MW, Falck JR, Sperandio V. 2008. Targeting QseC signaling and virulence for antibiotic development. Science 321:1078–1080. doi: 10.1126/science.1160354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Curtis MM, Russell R, Moreira CG, Adebesin AM, Wang C, Williams NS, Taussig R, Stewart D, Zimmern P, Lu B, Prasad RN, Zhu C, Rasko DA, Huntley JF, Falck JR, Sperandio V. 2014. QseC inhibitors as an antivirulence approach for Gram-negative pathogens. mBio 5(6):e02165. doi: 10.1128/mBio.02165-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Raivio TL, Silhavy TJ. 1997. Transduction of envelope stress in Escherichia coli by the Cpx two-component system. J Bacteriol 179:7724–7733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Vogt SL, Raivio TL. 2011. Just scratching the surface: an expanding view of the Cpx envelope stress response. FEMS Microbiol Lett 326:2–11. doi: 10.1111/j.1574-6968.2011.02406.x. [DOI] [PubMed] [Google Scholar]
  • 22.Hunke S, Keller R, Muller VS. 2011. Signal integration by the Cpx-envelope stress system. FEMS Microbiol Lett 326:12–22. doi: 10.1111/j.1574-6968.2011.02436.x. [DOI] [PubMed] [Google Scholar]
  • 23.Raivio TL, Leblanc SK, Price NL. 2013. The Escherichia coli Cpx envelope stress response regulates genes of diverse function that impact antibiotic resistance and membrane integrity. J Bacteriol 195:2755–2767. doi: 10.1128/JB.00105-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.De Wulf P, McGuire AM, Liu X, Lin ECC. 2002. Genome-wide profiling of promoter recognition by the two-component response regulator CpxR-P in Escherichia coli. J Biol Chem 277:26652–26661. doi: 10.1074/jbc.M203487200. [DOI] [PubMed] [Google Scholar]
  • 25.Price NL, Raivio TL. 2009. Characterization of the Cpx regulon in Escherichia coli strain MC4100. J Bacteriol 191:1798–1815. doi: 10.1128/JB.00798-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bury-Moné S, Nomane Y, Reymond N, Barbet R, Jacquet E, Imbeaud S, Jacq A, Bouloc P. 2009. Global analysis of extracytoplasmic stress signaling in Escherichia coli. PLoS Genet 5:e1000651. doi: 10.1371/journal.pgen.1000651. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.DiGiuseppe PA, Silhavy TJ. 2003. Signal detection and target gene induction by the CpxRA two-component system. J Bacteriol 185:2432–2440. doi: 10.1128/JB.185.8.2432-2440.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wolfe AJ, Parikh N, Lima BP, Zemaitaitis B. 2008. Signal integration by the two-component signal transduction response regulator CpxR. J Bacteriol 190:2314–2322. doi: 10.1128/JB.01906-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Lima BP, Antelmann H, Gronau K, Chi BK, Becher D, Brinsmade SR, Wolfe AJ. 2011. Involvement of protein acetylation in glucose-induced transcription of a stress-responsive promoter. Mol Microbiol 81:1190–1204. doi: 10.1111/j.1365-2958.2011.07742.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lima BP, Thanh Huyen TT, Basell K, Becher D, Antelmann H, Wolfe AJ. 2012. Inhibition of acetyl phosphate-dependent transcription by an acetylatable lysine on RNA polymerase. J Biol Chem 287:32147–32160. doi: 10.1074/jbc.M112.365502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Raivio TL. 2013. Everything old is new again: an update on current research on the Cpx envelope stress response. Biochim Biophys Acta 1843:1529–1541. doi: 10.1016/j.bbamcr.2013.10.018. [DOI] [PubMed] [Google Scholar]
  • 32.Spinola SM, Fortney KR, Baker B, Janowicz DM, Zwickl B, Katz BP, Blick RJ, Munson RS Jr. 2010. Activation of the CpxRA system by deletion of cpxA impairs the ability of Haemophilus ducreyi to infect humans. Infect Immun 78:3898–3904. doi: 10.1128/IAI.00432-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Gangaiah D, Zhang X, Fortney KR, Baker B, Liu Y, Munson RS Jr, Spinola SM. 2013. Activation of CpxRA in Haemophilus ducreyi primarily inhibits the expression of its targets, including major virulence determinants. J Bacteriol 195:3486–3502. doi: 10.1128/JB.00372-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Labandeira-Rey M, Brautigam CA, Hansen EJ. 2010. Characterization of the CpxRA regulon in Haemophilus ducreyi. Infect Immun 78:4779–4791. doi: 10.1128/IAI.00678-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Labandeira-Rey M, Dodd D, Fortney KR, Zwickl B, Katz BP, Janowicz DM, Spinola SM, Hansen EJ. 2011. A Haemophilus ducreyi cpxR deletion mutant is virulent in human volunteers. J Infect Dis 203:1859–1865. doi: 10.1093/infdis/jir190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Humphreys S, Rowley G, Stevenson A, Anjum MF, Woodward MJ, Gilbert S, Kormanec J, Roberts M. 2004. Role of the two-component regulator CpxAR in the virulence of Salmonella enterica serotype Typhimurium. Infect Immun 72:4654–4661. doi: 10.1128/IAI.72.8.4654-4661.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Cosma CL, Danese PN, Carlson JH, Silhavy TJ, Snyder WB. 1995. Mutational activation of the Cpx signal transduction pathway of Escherichia coli suppresses the toxicity conferred by certain envelope-associated stresses. Mol Microbiol 18:491–505. doi: 10.1111/j.1365-2958.1995.mmi_18030491.x. [DOI] [PubMed] [Google Scholar]
  • 38.Raivio TL, Popkin DL, Silhavy TJ. 1999. The Cpx envelope stress response is controlled by amplification and feedback inhibition. J Bacteriol 181:5263–5272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Miller JH. 1972. Experiments in molecular genetics. Cold Spring Harbor Laboratory, Cold Spring Harbor, NY. [Google Scholar]
  • 40.Zhang JH, Chung TDY, Oldenburg KR. 1999. A simple statistical parameter for use in evaluation and validation of high throughput screening assays. J Biomol Screen 4:67–73. doi: 10.1177/108705719900400206. [DOI] [PubMed] [Google Scholar]
  • 41.Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. 2001. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv Drug Deliv Rev 46:3–26. doi: 10.1016/S0169-409X(00)00129-0. [DOI] [PubMed] [Google Scholar]
  • 42.Kohanski MA, Dwyer DJ, Hayete B, Lawrence CA, Collins JJ. 2007. A common mechanism of cellular death induced by bactericidal antibiotics. Cell 130:797–810. doi: 10.1016/j.cell.2007.06.049. [DOI] [PubMed] [Google Scholar]
  • 43.Kohanski MA, Dwyer DJ, Wierzbowski J, Cottarel G, Collins JJ. 2008. Mistranslation of membrane proteins and two-component system activation trigger antibiotic-mediated cell death. Cell 135:679–690. doi: 10.1016/j.cell.2008.09.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Mahoney TF, Silhavy TJ. 2013. The Cpx stress response confers resistance to some, but not all, bactericidal antibiotics. J Bacteriol 195:1869–1874. doi: 10.1128/JB.02197-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kots AY, Grafov MA, Khropov YV, Betin VL, Belushkina NN, Busygina OG, Yazykova MY, Ovchinnikov IV, Kulikov AS, Makhova NN, Medvedeva NA, Bulargina TV, Severina IS. 2000. Vasorelaxant and antiplatelet activity of 4,7-dimethyl-1,2, 5-oxadiazolo[3,4-d]pyridazine 1,5,6-trioxide: role of soluble guanylate cyclase, nitric oxide and thiols. Br J Pharmacol 129:1163–1177. doi: 10.1038/sj.bjp.0703156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Boelsterli UA, Ho HK, Zhou S, Leow KY. 2006. Bioactivation and hepatotoxicity of nitroaromatic drugs. Curr Drug Metab 7:715–727. doi: 10.2174/138920006778520606. [DOI] [PubMed] [Google Scholar]
  • 47.Okada A, Gotoh Y, Watanabe T, Furuta E, Yamamoto K, Utsumi R. 2007. Targeting two-component signal transduction: a novel drug discovery system. Methods Enzymol 422:386–395. doi: 10.1016/S0076-6879(06)22019-6. [DOI] [PubMed] [Google Scholar]
  • 48.Gilmour R, Foster JE, Sheng Q, McClain JR, Riley A, Sun PM, Ng WL, Yan D, Nicas TI, Henry K, Winkler ME. 2005. New class of competitive inhibitor of bacterial histidine kinases. J Bacteriol 187:8196–8200. doi: 10.1128/JB.187.23.8196-8200.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Bolla JM, Alibert-Franco S, Handzlik J, Chevalier J, Mahamoud A, Boyer G, Kiec-Kononowicz K, Pages JM. 2011. Strategies for bypassing the membrane barrier in multidrug resistant Gram-negative bacteria. FEBS Lett 585:1682–1690. doi: 10.1016/j.febslet.2011.04.054. [DOI] [PubMed] [Google Scholar]
  • 50.Zgurskaya HI, Krishnamoorthy G, Ntreh A, Lu S. 2011. Mechanism and function of the outer membrane channel TolC in multidrug resistance and physiology of enterobacteria. Front Microbiol 2:189. doi: 10.3389/fmicb.2011.00189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Rosner JL, Martin RG. 2013. Reduction of cellular stress by TolC-dependent efflux pumps in Escherichia coli indicated by BaeSR and CpxARP activation of spy in efflux mutants. J Bacteriol 195:1042–1050. doi: 10.1128/JB.01996-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Rinker SD, Trombley MP, Gu X, Fortney KR, Bauer ME. 2011. Deletion of mtrC in Haemophilus ducreyi increases sensitivity to human antimicrobial peptides and activates the CpxRA regulon. Infect Immun 79:2324–2334. doi: 10.1128/IAI.01316-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Taylor DL, Bina XR, Slamti L, Waldor MK, Bina JE. 2014. Reciprocal regulation of resistance-nodulation-division efflux systems and the Cpx two-component system in Vibrio cholerae. Infect Immun 82:2980–2991. doi: 10.1128/IAI.00025-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Liu J, Obi IR, Thanikkal EJ, Kieselbach T, Francis MS. 2011. Phosphorylated CpxR restricts production of the RovA global regulator in Yersinia pseudotuberculosis. PLoS One 6:e23314. doi: 10.1371/journal.pone.0023314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Foti JJ, Devadoss B, Winkler JA, Collins JJ, Walker GC. 2012. Oxidation of the guanine nucleotide pool underlies cell death by bactericidal antibiotics. Science 336:315–319. doi: 10.1126/science.1219192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Lee S, Hinz A, Bauerle E, Angermeyer A, Juhaszova K, Kaneko Y, Singh PK, Manoil C. 2009. Targeting a bacterial stress response to enhance antibiotic action. Proc Natl Acad Sci U S A 106:14570–14575. doi: 10.1073/pnas.0903619106. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Antimicrobial Agents and Chemotherapy are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES