We thank the Tolker-Nielsen lab for their generous donation of reporter constructs used to develop the screen. We also thank members of the Ryan laboratory for their helpful comments and critical reading of the manuscript. The work of the authors has been supported in part by grants awarded by the Wellcome Trust (WT100204AIA senior fellowship grant to R.P.R. and 093714/Z/10/Z PhD scholarship to K.N.R.).

Note: Procedures for cloning and transformation of the purified c-di-GMP reporter plasmid are discussed elsewhere12.
1. Generation of GFP Tagged c-di-GMP Reporter P. aeruginosa Strain
<ol>
	<li>Inoculate 5 ml of lysogeny broth (LB) medium with a single colony of P. aeruginosa and incubate overnight at 37 &#176;C with shaking at 200 rpm.</li>
	<li>Transfer 2 ml of the overnight culture into 200 ml of fresh LB medium in a 1 L flask and incubate at 37 &#176;C with shaking at 200 rpm.</li>
	<li>Monitor optical density at 600 nm (OD600) every 30 min by taking a 1 ml sample from the flask and examine using a spectrophotometer (as described previously12).</li>
	<li>When the OD600 reaches between 0.3 - 0.5, place 40 ml of the culture into a 50 ml conical centrifuge tube.</li>
	<li>Pellet the cells by centrifuging at 8,000 rpm for 10 min at 4 &#176;C, discard the supernatant and re-suspend the cells in 40 ml of ice-cold, sterile, 300 mM sucrose solution.</li>
	<li>Pellet the cells a second time by centrifuging as described in step 1.5 and re-suspend in 20 ml of ice-cold, sterile, 300 mM sucrose solution.</li>
	<li>Pellet the cells a final time by centrifuging as described in step 1.5 and re-suspend in 400 &#181;l of ice-cold, sterile, 300 mM sucrose solution. 
	Note: The cell density at this point should be approximately 1 x 1011 colony forming units per milliliter (CFU/ml).</li>
	<li>Chill the cells on ice for 30 min, after which they are ready for electroporation.</li>
	<li>Add 1 &#181;l of a 0.2 &#181;g/&#181;l pCdrA::gfpC plasmid 12 solution to 40 &#181;l of P. aeruginosa electro-competent cells prepared above in a 1.5 ml microcentrifuge tube that has been pre-chilled on ice. Mix the suspension and transfer into a pre-chilled, 2 mm electrode gap, electroporation cuvette. 
	Note: pCdrA::gfpC: pUCP22Not-PcdrA-RBSII-gfp(Mut3)-T0-T1, Ampr Gmr, which gives a fluorescent readout of the intracellular level of c-di-GMP in P. aeruginosa strains, was developed and validated by Rybtke et al.12.</li>
	<li>Remove moisture on the outside of the cuvette with tissue paper and place the cuvette into the sample chamber of the electroporator. Pulse with a voltage of 2.5 kV, capacitance of 25 &#181;F and resistance of 200 &#8486;.</li>
	<li>Remove the cuvette and add 1 ml of LB medium. Then, transfer the cells to a sterile 1.5 ml microcentrifuge tube and incubate for 2 hr at 37 &#176;C with shaking at 200 rpm.</li>
	<li>Spread 10 &#181;l, 50 &#181;l and 100 &#181;l aliquots of the culture onto sterile LB-agar plates supplemented with ampicillin (at a concentration of 100 &#181;g/ml), and incubate the plates at 37 &#176;C overnight.</li>
	<li>Confirm the GFP expression (excitation at 485 nm, emission at 520 nm) by examining the plate under a fluorescence microscope with a standard GFP channel and pick a single colony to inoculate 5 ml LB. Incubate overnight as described in step 1.1. Mix 0.5 ml of the overnight culture with 0.5 ml 50% glycerol in a 2 ml screw top tube and store at -80 &#176;C.</li>
</ol>
2. Preparation of the Starter Culture for Inoculation
<ol>
	<li>Two days before the screen, plate the P. aeruginosa strain (containing the pCdrA::gfpC plasmid) from the -80 &#176;C stock onto an LB-agar plate (supplemented with ampicillin at a concentration of 100 &#181;g/ml) by gently spreading the bacteria over the plate using a sterile inoculation loop. Incubate the plate overnight at 37 &#176;C.</li>
	<li>The evening before the screening, inoculate a single colony of P. aeruginosa from the plate into 10 ml of LB medium (supplemented with ampicillin at a concentration of 100 &#181;g/ml) in a tube and incubate the pre-culture overnight at 37 &#176;C with shaking at 200 rpm.</li>
	<li>On the day of the screen, prepare a subculture from the overnight pre-culture by diluting it first with fresh LB medium to an OD600 of 1.0 and then further diluting with 5% LB to an OD600 of 0.04 (1:25 ratio). 
	Note: The total volume of the inoculated medium depends on the number of plates to be tested. 5% LB is made by diluting 100% LB with phosphate buffered saline (PBS) to the required concentration. Importantly, the media (5% LB) allows constitutive activation of pCdrA::gfpC in P. aeruginosa.</li>
	<li>Add a sterile magnetic stirrer bar into the container and stir the culture at minimal speed on a magnetic stirrer for 30 min at room temperature, allowing the bacteria to acclimatize to the media before they are dispensed into 384-well plates.</li>
</ol>
3. Inoculation and Incubation of the 384-well Plates Containing Small Molecules
Note: Sterility and good aseptic techniques are paramount to the following steps.
<ol>
	<li>To prepare the positive control (100% inhibition), add 20 &#181;l tobramycin sulfate (25 mg/ml) to 10 ml (adequate for up to 12 plates) of the subculture prepared in Step 2.3 and mix gently. Pipette 40 &#181;l of the positive control culture into wells A23 - P23 (Figure 2).</li>
	<li>To prepare the negative control (0% inhibition), add 30 &#181;l dimethyl sulfoxide (DMSO) to 10 ml (adequate for up to 12 plates) of the subculture prepared in Step 2.3 and mix gently. Pipette 40 &#181;l of the negative control culture into wells A24 - P24 (Figure 2).</li>
	<li>For each of the plates stamped with the small molecules, inoculate a volume of 40 &#181;l of the diluted overnight cultures (described in Step 2.3) into the wells A1 - P22 (Figure 2). 
	Note: This can be achieved using a liquid handler robot. Due to the heterogeneous properties of bacterial cultures, it is important to maintain a continuous and moderate agitation to keep bacteria consistently distributed in the media while dispensing. To do this, keep stirring the acclimatized culture from step 2.4 magnetically during dispensing.</li>
	<li>Seal the plates with an air-permeable cover seal and incubate for 6 hr at 37 &#176;C. 
	Note: The air-permeable seal is critical to maintain unchanging conditions across all 384 wells and to circumvent the potential development of oxygen gradients across the plate.</li>
</ol>
4. Measurement of Growth (OD600) and Intracellular c-di-GMP Level (GFP)
<ol>
	<li>Approximately 30 minutes before spectrophotometric measurement, pre-warm the plate reader to 37 &#176;C to avoid condensation.</li>
	<li>Gently remove the air-permeable cover seal before reading. Measure the optical density at a wavelength of 600 nm with a setting of 10 flashes per well and a settling time of 0.2 sec.</li>
	<li>Prior to measuring fluorescence, make an automatic gain and focal adjustment based on well A24 (negative control) and set the gain target value at 75% (Figure 2).
	<ol>
		<li>From the plate reader control software, click on start measurement and click on the &#39;&#39;Focus and Gain Adjustment/Plate IDs&#39;&#39; tab.</li>
		<li>Select &#39;&#39;Focus Adjustment&#39;&#39; and &#39;&#39;Channel A&#39;&#39; on the right on the window.</li>
		<li>Select &#39;&#39;Gain Adjustment&#39;&#39; and &#39;&#39;Selected well&#39;&#39;, and type in &#39;&#39;75&#39;&#39; as the &#39;&#39;Target value&#39;&#39;. Finally, pick well A24 in the plate layout before clicking on &#39;&#39;Start Adjustment&#39;&#39;. Once the adjustment is carried out, click on &#39;&#39;Start measurement&#39;&#39;.</li>
		<li>Measure the fluorescence from the GFP reporter at an excitation/emission maxima of 485/520 nm with a setting of 10 flashes per well and a settling time of 0.2 sec.</li>
	</ol>
	</li>
	<li>Collect data from all plates examined. Note: Data readings are automatically saved as default by the plate reader control software.
	<ol>
		<li>View readings by clicking on the &#34;Mars&#34; icon within the control software to open the statistical analysis package.</li>
		<li>Retrieve data by &#34;double clicking&#34; on the plate number of interest to access the data for analysis.</li>
	</ol>
	</li>
</ol>
5. Data Analysis
<ol>
	<li>Evaluate the uniformity and reproducibility of the assay using robust z&#39; analysis, which is the most common quality metrics reported for high-throughput screens. Calculate robust z&#39; using the formula: 
	<img alt="Equation 1" src="/files/ftp_upload/54115/54115eq1.jpg" /> 
	Where MAD (Median Absolute Deviation) is an estimate of standard deviation, p is the positive control (100% inhibition) and n is the negative control (0% inhibition) for both OD600 and GFP values. Note: An assay with a robust z&#39; value (calculated for both OD600 and GFP raw data) greater than or equal to 0.5 is considered as an excellent assay.</li>
	<li>Calculate% inhibition of growth using the formula: 
	<img alt="Equation 2" src="/files/ftp_upload/54115/54115eq2.jpg" /> 
	Where XiOD600 is the iterated OD600 value of each sample well. %&#160;InhibitionOD600 &#62; 0, growth inhibitor; %&#160;InhibitionOD600 &#60; 0, growth promoter.</li>
	<li>Assess the %&#160;inhibition of the intracellular level of c-di-GMP using the formula (the change in arbitrary fluorescence intensity units are corrected for the change in cell density): 
	<img alt="Equation 3" src="/files/ftp_upload/54115/54115eq3.jpg" /> <img alt="Equation 4" src="/files/ftp_upload/54115/54115eq4.jpg" /> 
	Where XiGFP is the iterated GFP value of each sample well. %&#160;InhibitionGFP &#62; 0, c-di-GMP inhibitor; %&#160;InhibitionGFP &#60; 0, c-di-GMP promoter.</li>
	<li>Set a threshold for hit detection at 3 MAD from the median (median &#177;3 MAD), calculated from the sample well read-outs of each plate, assuming a normal distribution of data-points. Note: However, a &#177;50% inhibition cut-off can be selected for more reproducible and accurate dose response assays if required.</li>
</ol>

<ol>
	<li>Lewis, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Recover+the+lost+art+of+drug+discovery.">Recover the lost art of drug discovery.</a> Nature. 485, 439-440 (2012).</li><li>Caly, D. L., Bellini, D., Walsh, M. A., Dow, J. M., Ryan, R. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Targeting+Cyclic+di-GMP+Signaling:+A+Strategy+to+Control+Biofilm+Formation?.">Targeting Cyclic di-GMP Signaling: A Strategy to Control Biofilm Formation?.</a> Curr Pharm Design. 21, 12-24 (2015).</li><li>Hengge, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Principles+of+c-di-GMP+signaling+in+bacteria.">Principles of c-di-GMP signaling in bacteria.</a> Nat Rev Microbiol. 7, 263-273 (2009).</li><li>Ryan, R. P., Tolker-Nielsen, T., Dow, J. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=When+the+PilZ+don't+work:+effectors+for+cyclic+di-GMP+action+in+bacteria.">When the PilZ don't work: effectors for cyclic di-GMP action in bacteria.</a> Trend Microbiol. 20, 235-242 (2012).</li><li>Romling, U., Galperin, M. Y., Gomelsky, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cyclic+di-GMP:+the+First+25+Years+of+a+Universal+Bacterial+Second+Messenger.">Cyclic di-GMP: the First 25 Years of a Universal Bacterial Second Messenger.</a> Microbiol Mol Biol Rev. 77, 1-52 (2013).</li><li> Boyd, C. D., GA, O. '. T. o. o. l. e. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Second+Messenger+Regulation+of+Biofilm+Formation:+Breakthroughs+in+Understanding+c-di-GMP+Effector+Systems.">Second Messenger Regulation of Biofilm Formation: Breakthroughs in Understanding c-di-GMP Effector Systems.</a> Ann Rev Cell Dev Biol. 28, 439-462 (2012).</li><li>Ryan, R. P., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=HD-GYP+domain+proteins+regulate+biofilm+formation+and+virulence+in+Pseudomonas+aeruginosa.">HD-GYP domain proteins regulate biofilm formation and virulence in Pseudomonas aeruginosa.</a> Environ Microbiol. 11, 1126-1136 (2009).</li><li>Christensen, L. D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Clearance+of+Pseudomonas+aeruginosa+Foreign-Body+Biofilm+Infections+through+Reduction+of+the+Cyclic+Di-GMP+Level+in+the+Bacteria.">Clearance of Pseudomonas aeruginosa Foreign-Body Biofilm Infections through Reduction of the Cyclic Di-GMP Level in the Bacteria.</a> Infection and Immunity. 81, 2705-2713 (2013).</li><li>Chua, S. L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Dispersed+cells+represent+a+distinct+stage+in+the+transition+from+bacterial+biofilm+to+planktonic+lifestyles.">Dispersed cells represent a distinct stage in the transition from bacterial biofilm to planktonic lifestyles.</a> Nat Comm. 5, (2014).</li><li>Sambanthamoorthy, K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identification+of+Small+Molecules+That+Antagonize+Diguanylate+Cyclase+Enzymes+To+Inhibit+Biofilm+Formation.">Identification of Small Molecules That Antagonize Diguanylate Cyclase Enzymes To Inhibit Biofilm Formation.</a> Antimicrob Agents Chemother. 56, 5202-5211 (2012).</li><li>Sambanthamoorthy, K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identification+of+small+molecules+inhibiting+diguanylate+cyclases+to+control+bacterial+biofilm+development.">Identification of small molecules inhibiting diguanylate cyclases to control bacterial biofilm development.</a> Biofouling. 30, 17-28 (2014).</li><li>Rybtke, M. T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fluorescence-Based+Reporter+for+Gauging+Cyclic+Di-GMP+Levels+in+Pseudomonas+aeruginosa.">Fluorescence-Based Reporter for Gauging Cyclic Di-GMP Levels in Pseudomonas aeruginosa.</a> App Environ Microbiol. 78, 5060-5069 (2012).</li></ol>

The authors have nothing to disclose.

In order to improve the treatment of bacterial infections, it is clear that a better understanding of bacterial behavior at the molecular regulatory level is required. The procedure described here will be beneficial for microbiologists, biochemists and clinicians who want to uncover small molecules that have the potential to manipulate or interfere with cellular concentrations of c-di-GMP in bacteria. The method utilizes a recently developed GFP bioreporter to monitor cellular levels of c-di-GMP in P. aeruginosa12. This bioreporter has been validated and shown importantly not to affect the growth of the strain used when cultured in 5% LB in PBS. The use of a whole-cell screen to identify small molecules that alters c-di-GMP levels in vivo overcomes the major difficulties of target-based drug discovery in terms of molecule penetration through the bacterial membranes, particularly through those of Gram-negative bacteria. Importantly, the assay appears very robust as a robust z&#39; value consistently above 0.5 was observed in all screens to date. Screening using this protocol will reveal a number of small molecules that inhibit and/or promote intracellular c-di-GMP levels in P. aeruginosa. Moreover, this assay also has the potential to identify bactericidal or bacteriostatic compounds resulting in a decrease in the OD600 read-out.
Although not discussed in the protocol section, there are several important considerations for the preparation of the experiment. It is vital to bear in mind that the GFP bioreporter is based on a plasmid. Although the reporter plasmid is known to be very stable in P. aeruginosa, it can be lost after continuous re-plating, hence the need to use freshly plated strains from a -80 &#176;C glycerol stock, and checking fluorescence expression is critical. It is also very valuable to maintain uniform growth conditions throughout the screen since any fluctuations in these conditions could have knock-on effects on the screen. This would include making certain that media and antibiotics are premade in batch and used throughout the course of the screen. Bacterial cultures not growing (based on OD600 read-outs) in a uniform fashion is a common issue for most high-throughput screens of this nature. This can be due to edge effects or dispensing a non-homogeneous bacterial culture into the plates. For the former, making sure a gas-permeable seal is used during incubation is vital. While for the latter, priming the liquid handler tubing with a volume of the culture at least three times the dead volume of the tubing itself is recommended. It is crucial to keep the magnetic stirrer at minimal speed during dispensing. While monitoring and storage of the 384-well plates for consistent growth over the course of the experiments is paramount, a situation to avoid is the stacking of plates during incubation as it can cause unwanted oxygen gradients leading to a skew in the growth pattern. It is also important to ensure that the DMSO vehicle used as a negative control is not negatively impacting growth of the strain of interest. Many of these issues associated with growth can be avoided by performing a mock screen with the bacterial strain of interest prior to screening. Data interpretation also merits consideration given that c-di-GMP inhibition results are calculated by the change in arbitrary fluorescence intensity units that must be corrected for the change in cell density. With this in mind different mathematical formulas to assess the data output from these experiments should also be considered.&#160;For example, a compound could appear as a c-di-GMP inhibitor but actually be a growth inhibitor or vice versa, requiring prudent interpretation of identified hits.
There are several drawbacks and limitations that must be considered during the development and performance of this high-throughput cell-based screen. For example, the bio-reporter functions on an indirect measure of cellular c-di-GMP levels using a fluorescent probe whose detection properties could potentially be affected by small molecules used in a screen. A tangential issue is the fact that the cell-based assay gives no information regarding the mechanism behind changes in the levels of intracellular c-di-GMP. Therefore, important observations from experiments must be confirmed using a high-performance liquid chromatography-mass spectrometry approach, which is considered the &#34;gold-standard&#34; method for measuring intracellular c-di-GMP fluctuations in bacteria. Moreover, our procedure can only provide information regarding the behavior of bacteria grown in vitro, as bacterial cells grown in the context of the host (in vivo) quickly modify their activities due to this environment. Furthermore, the process of using a GFP bioreporter means the screen does not take into account the physiological status of the bacterial cells. However, the protocol could be adapted to microscopic monitoring of individual wells during the course of the screen.
Even with these considerations and limitations, this high-throughput assay is still a robust screen for small molecules capable of interfering with intracellular c-di-GMP levels. Since many microbial species including many bacterial pathogens have been studied in order to characterize the modulation of intracellular c-di-GMP levels, our protocol could be applied to diverse bacterial species and expanded to the study of more complex multispecies bacteria models. The assay can be easily optimized for other bacterial species by changing the growth conditions used, or can be adapted to read other outputs by using different bioreporters. Different incubation times can be applied depending on the growth phase of interest. However, when scaling up or increasing through-put, it is important to keep in mind that the bacteria will still be growing during plate preparations and read-out measurements. Therefore it is recommended to screen a maximum of 15 plates at a time using this protocol. Moreover, using plates with more than 384 wells may not allow uniform growth, requiring further optimization. When scaling down the number of plates, it may be more appropriate to manually inoculate using an electronic pipette instead of a liquid handling robot. It is clear that this protocol could be used to investigate small molecules that disperse biofilms, given that anti-biofilm compounds interfere with c-di-GMP signaling. The protocol could also be redeveloped to understand various aspects of bacterial physiology. Given that c-di-GMP signaling is prevalent in most bacteria, by studying the physiologies of these organisms using this protocol we can identify different chemical stimuli to determine whether or not their working mechanisms require c-di-GMP signaling.
In summary, the robustness and versatility of the approach presented in this protocol will aid the identification of chemical modulators of c-di-GMP signaling in many biological systems.

The rapid development of bacterial resistance against clinically important antibiotics is one of the major concerns currently facing health professionals worldwide. This failure of traditional antibiotics has driven new searches for chemical matter that can interfere with bacterial processes involved in virulence and disease progression1. One such regulatory system that utilizes the intracellular second messenger cyclic di-GMP (c-di-GMP) has recently become a target with promising validity2-4. It has been established that this global second messenger signal molecule regulates many functions including antibiotic resistance, adhesion, biofilm formation and disease2-4.
It is now understood that the cellular level of c-di-GMP in the bacterial cell is controlled by synthesis and degradation whereby two molecules of GTP are used to synthesize c-di-GMP by GGDEF domain-containing diguanylate cyclases (DGCs) whereas c-di-GMP degradation is catalyzed by phosphodiesterases (PDEs) that have either an EAL or an HD-GYP domain (reviewed in (3, 5)). Proteins containing these domains often contain other signaling domains, suggesting that their activity in c-di-GMP turnover is regulated either directly or indirectly by environmental or cellular cues3,5. Consequently, c-di-GMP signaling functions to link the sensing of diverse environmental cues to modifications in bacterial phenotype. c-di-GMP exerts its regulatory effect in bacteria at the level of transcription, post-transcription and post-translation by various mechanisms4.
A major influence of c-di-GMP in many bacterial cells is in the determination of bacterial &#39;lifestyle&#39; and, in particular, in the control of transitions between motile planktonic cells and sessile cells attached to surfaces or organized in the multicellular structures of biofilms3,5. In general, high cellular levels of c-di-GMP are associated with biofilm formation and sessility, while low cellular levels encourage motility and virulence factor synthesis in many bacterial pathogens3,5. Thus, a more detailed knowledge of the workings of c-di-GMP signaling could afford strategies for inhibition of biofilm formation and virulence in bacterial pathogens. This is a daunting task given that most bacterial genomes encode numerous proteins with GGDEF, EAL and/or HD-GYP domains (for example P. aeruginosa has over 40 proteins) and multiple effectors6,7.
However, even with this complexity, recent evidence suggests that strategies manipulating c-di-GMP signaling may be developed to either prevent antibiotic resistant infections developing or make them susceptible to the immune system or efficient treatment by co-administration of classic antibiotics2. In line with this, it has been experimentally demonstrated that artificial decrease of intracellular c-di-GMP in in vitro-grown P. aeruginosa leads to decreased biofilm formation and increased susceptibility to antimicrobials, while P. aeruginosa-developed biofilms on silicone implants, located in the peritoneal cavity of mice, can be dispersed in a similar fashion8-11.
Here, we describe a high-throughput, fluorescence-based reporter assay to screen small molecules that can potentially modulate the cellular c-di-GMP levels in P. aeruginosa (Figure 1). The assay is based on measuring c-di-GMP cellular levels using a previously developed GFP reporter whose expression is transcriptionally linked to the c-di-GMP-responsive cdrA promoter12. This protocol describes the methodology for expression of the reporter construct in the P. aeruginosa strain of interest, compound plate preparation, culture inoculation into 384-well plates, growth conditions, as well as details regarding data collection, management and analysis (Figure 1). Overall, this protocol will aid researchers to potentially identify novel compounds targeting c-di-GMP signaling in bacteria, and for use in research aiming at understanding the biology of P. aeruginosa.

<table><tbody><tr><td>Lysogeny Broth (Lennox)</td><td>Sigma Aldrich</td><td>L3022-1KG</td><td></td></tr><tr><td>Sucrose</td><td>Sigma Aldrich</td><td>S0389-1KG</td><td></td></tr><tr><td>Lysogeny Broth with Agar (Lennox)</td><td>Sigma Aldrich</td><td>L2897-1KG</td><td></td></tr><tr><td>Ampicillin sodium</td><td>Sigma Aldrich</td><td>A0166-25G</td><td></td></tr><tr><td>Glycerol</td><td>Sigma Aldrich</td><td>G5516-1L</td><td></td></tr><tr><td>Phosphate Buffered Saline, pH 7.4</td><td>Life technologies</td><td>10010-056</td><td></td></tr><tr><td>Tobramycin sulfate</td><td>Sigma Aldrich</td><td>T1783-100MG</td><td></td></tr><tr><td>Dimethyl Sulfoxide (DMSO)</td><td>Sigma Aldrich</td><td>276855-250ML</td><td></td></tr><tr><td>Genesys 10S UV-Vis spectrophotometer</td><td>Thermoscientific</td><td>840-208100</td><td></td></tr><tr><td>2 mm gap electroporator cuvette</td><td>Bio-Rad</td><td>1652092</td><td></td></tr><tr><td>BioRad GenePulser XCell electroporator</td><td>Bio-Rad</td><td>1652662</td><td></td></tr><tr><td>Leica Fluorescent Stereomicroscope</td><td>Leica Microsystems</td><td>MZ16FA</td><td></td></tr><tr><td>BRAND magnetic stirring bar, PTFE, cylindrical with pivot ring (sterilize by autoclaving before use)</td><td>Sigma Aldrich</td><td>Z328952-10EA</td><td></td></tr><tr><td>384-well, white-walled, clear-bottom plates</td><td>Greiner</td><td>781098</td><td></td></tr><tr><td>Multidrop Combi reagent dispenser</td><td>Thermo Scientific</td><td>5840300</td><td></td></tr><tr><td>Multidrop Combi tubing</td><td>Thermo Scientific</td><td>24073290</td><td></td></tr><tr><td>VIAFLO II 16-channel electronic pipette</td><td>Integra Biosciences</td><td>4642</td><td></td></tr><tr><td>100 ml sterile disposable reagent reservoirs</td><td>Fisher Scientific</td><td>12399175</td><td></td></tr><tr><td>AeraSeal air-permeable membranes</td><td>Sigma Aldrich</td><td>MKBQ1886</td><td></td></tr><tr><td>Pherastar plate reader (Software version: 4.00 R4, Firmware version: 1.13)</td><td>BMG Labtech</td><td>Pherastar FS</td><td></td></tr></tbody></table>

establishment of a high-throughput setup for screening small molecules that modulate c-di-gmp signaling in pseudomonas aeruginosa

Bacterial resistance to traditional antibiotics has driven research attempts to identify new drug targets in recently discovered regulatory pathways. Regulatory systems that utilize intracellular cyclic di-GMP (c-di-GMP) as a second messenger are one such class of target. c-di-GMP is a signaling molecule found in almost all bacteria that acts to regulate an extensive range of processes including antibiotic resistance, biofilm formation and virulence. The understanding of how c-di-GMP signaling controls aspects of antibiotic resistant biofilm development has suggested approaches whereby alteration of the cellular concentrations of the nucleotide or disruption of these signaling pathways may lead to reduced biofilm formation or increased susceptibility of the biofilms to antibiotics. We describe a simple high-throughput bioreporter protocol, based on green fluorescent protein (GFP), whose expression is under the control of the c-di-GMP responsive promoter cdrA, to rapidly screen for small molecules with the potential to modulate c-di-GMP cellular levels in Pseudomonas aeruginosa (P. aeruginosa). This simple protocol can screen upwards of 3,500 compounds within 48 hours and has the ability to be adapted to multiple microorganisms.

The approach described here allows a single researcher to efficiently and successfully screen an average of 3,500 compounds within a 48-hour period. An overview of the high-throughput screening protocol is illustrated as a flowchart in Figure 1. For the current article, we screened a rule-of-five compliant compound library for potential c-di-GMP modulating compounds at a final concentration of 600 &#181;M. However, there are many commercially available drug-like and non-drug like compound sets that could be used in the assay. These sets can be bacteria-focused compounds or random pooled compounds but each library would have predicated physicochemical properties and characteristics assigned such as the set screened here, which had polar functional groups and multiple stereogenic centers. In this protocol, bacteria are inoculated into the plate along with compounds, an antibiotic positive control and a DMSO vehicle control, according to the layout shown in Figure 2. Figure 3 depicts the results of the primary screening exemplified by a single library plate. Representative OD600 and GFP raw data are shown in Figure 3A and 3B, respectively. A color gradient heat map, with hot (red) to cool (green) colors indicating low to high OD600/GFP values, has been applied to the well values. The heat maps were generated in a spreadsheet software by applying a 3-Color scale conditional formatting spanning from the lowest OD600/GFP read-out up to the highest OD600/GFP read-out. Low OD600 and GFP values relative to the DMSO negative control correspond to an inhibition in growth and c-di-GMP levels respectively, while high values relative to the DMSO negative control correspond to a promotion in growth and c-di-GMP levels respectively. The robust z&#39; values for OD600 and GFP are calculated according to the formula provided in the protocol (5.1). As they are both above 0.5 (0.694 and 0.761 respectively), the assay quality was deemed robust and the data was further analyzed. The % inhibition of growth (OD600) and intracellular c-di-GMP level (GFP) are calculated by the formulae provided in the protocol (5.2, 5.3). Representative data are shown in Figure 4A and 4B respectively. A color gradient heat map, with hot (red) to cool (green) colors indicating low to high % inhibition, has been applied to the well values. A scatter plot of the % inhibition(OD600/GFP) from individual wells based on the primary screen is plotted in Figure 5A and 5B for OD600 and GFP data respectively. A &#177;50% cut-off (indicated with dotted lines) is selected for hit detection. Potential hits based on this cut-off are indicated with red dots. Two types of compounds of interest can be discerned from the assay. Hits identified in Figure 5A are compounds that inhibit bacterial growth, while hits identified in Figure 5B are compounds that potentially possess the ability to modulate intracellular levels of c-di-GMP. Two compounds have been identified as representative hits for this assay. These are compound A, a potential growth inhibitor and compound B, a potential c-di-GMP inhibitor. Compound A corresponds to well F8 in Figures 3 and 4 and had a 72.5% inhibition in growth. There was an expected corresponding inhibition in cyclic di-GMP levels. Compound B corresponds to well K3 in Figures 3 and 4 and had a 61% inhibition in cyclic di-GMP levels with no change in growth. Select hit compounds were further tested by a 10-point dose-response assay with a top concentration of 2 mM and two-fold dilution series. IC50 values are calculated based on the dose-response curves (Figure 6A and B).
<img alt="Figure 1" src="/files/ftp_upload/54115/54115fig1.jpg" /> 
Figure 1. Overview: High-throughput Setup for Screening Small Molecules for Their Potential to Modulate Cellular Levels of c-di-GMP in P. aeruginosa. This overview shows a step-by-step representation of the protocol used in this assay. A bacterial colony of P. aeruginosa is grown overnight in an LB starter culture. Using a reagent dispenser, the cells are inoculated into 384-well plates containing the selected compounds. The plates are incubated for 6 hours, after which the OD600 and GFP values are measured. Using these read-outs, compounds that affect the cellular levels of c-di-GMP can be identified. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/54115/54115fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" src="/files/ftp_upload/54115/54115fig2.jpg" /> 
Figure 2. A 384-well Plate Map Used for the Small Molecule Screening Assay. The compounds from the library (light blue) are aliquoted into wells A1 - P22. The &#34;positive control&#34; (red) consisting of a final concentration of 50 &#181;g/ml tobramycin sulfate is added to wells A23 - P23 and the &#34;negative control&#34; (green) containing a final concentration of 1% DMSO is added to wells A24 - P24. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/54115/54115fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" src="/files/ftp_upload/54115/54115fig3.jpg" /> 
Figure 3. Representative Results for One 384-well Screening Plate. Representative raw data is for OD600 (A) and GFP (B). A color gradient heat map, with hot (Red: OD600&#160;= 0.65 or GFP = 250,000) to cool (Green: OD600&#160;= 0.10 or GFP = 40,000) colors indicating low to high values, has been applied to the well values. Wells that have lower OD600/GFP readings relative to the DMSO negative control will tend to be in red while wells that have higher OD600/GFP readings relative to the DMSO control will tend to be in green. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/54115/54115fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" src="/files/ftp_upload/54115/54115fig4.jpg" /> 
Figure 4. Representative Results for Percentage Inhibition Calculated for a 384-well Plate. The analyzed % inhibition data is represented for both of the OD600 (A) and GFP (B) read-outs. A color gradient heat map, with hot (Red: OD600&#160;= -150% or GFP = -20%) to cool (Green: OD600&#160;= 100% or GFP = 100%) colors indicating low to high inhibition values, has been applied to the well values. Small molecules, which potentially inhibit growth and intracellular c-di-GMP will tend to be in green while small molecules which potentially promote growth and intracellular c-di-GMP levels will tend to be in red. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/54115/54115fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 5" src="/files/ftp_upload/54115/54115fig5.jpg" /> 
Figure 5. Representative Scatter Plots for % Inhibition(OD600/GFP) Obtained From Each Tested Small Molecule. Each small molecule is represented by a dot and the % inhibition distribution for each of the OD600 (A) and GFP (B) read-outs is shown. A &#177;50% cut-off is selected for hit identification. Potential hits are highlighted in red. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/54115/54115fig5large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 6" src="/files/ftp_upload/54115/54115fig6.jpg" /> 
Figure 6. Representative Results From a Dose - Response Assay. Two compounds (potential growth inhibitor A and potential c-di-GMP inhibitor B) identified from previous screens are further tested in a 10 point dose-response assay with a top concentration of 2 mM and two-fold dilution series. Fitting a four-parameter logistic function to the data yielded IC50 values of 158 &#181;M and 193 &#181;M respectively. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/54115/54115fig6large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Establishment of a High-throughput Setup for Screening Small Molecules That Modulate c-di-GMP Signaling in Pseudomonas aeruginosa at JoVE.com

Establishment of a High-throughput Setup for Screening Small Molecules That Modulate c-di-GMP Signaling in Pseudomonas aeruginosa

This article describes the high-throughput assay that has been successfully established to screen large libraries of small molecules for their potential ability to manipulate cellular levels of cyclic di-GMP in Pseudomonas aeruginosa, providing a new powerful tool for antibacterial drug discovery and compound testing.

Establishment of a High-throughput Setup for Screening Small Molecules That Modulate c-di-GMP Signaling in Pseudomonas aeruginosa

Bacterial resistance to traditional antibiotics has driven research attempts to identify new drug targets in recently discovered regulatory pathways. ...

establishment-high-throughput-setup-for-screening-small-molecules

Universidad San Sebastian

Research

JoVE Journal

Immunology and Infection

8.4K Views.  University of Dundee. This article describes the high-throughput assay that has been successfully established to screen large libraries of small molecules for their potential ability to manipulate cellular levels of cyclic di-GMP in Pseudomonas aeruginosa, providing a new powerful tool for antibacterial drug discovery and compound testing.

Video: Establishment of a High-throughput Setup for Screening Small Molecules That Modulate c-di-GMP Signaling in Pseudomonas aeruginosa

Drug-induced Sensitization of Adenylyl Cyclase: Assay Streamlining and Miniaturization for Small Molecule and siRNA Screening Applications

Sensitization of adenylyl cyclase (AC) signaling has been implicated in a variety of neuropsychiatric and neurologic disorders including substance abuse and Parkinson&#39;s disease. Acute activation of G&#945;i/o-linked receptors inhibits AC activity, whereas persistent activation of these receptors results in heterologous sensitization of AC and increased levels of intracellular cAMP. Previous studies have demonstrated that this enhancement of AC responsiveness is observed both in vitro and in vivo following the chronic activation of several types of G&#945;i/o-linked receptors including D2 dopamine and &#956; opioid receptors. Although heterologous sensitization of AC was first reported four decades ago, the mechanism(s) that underlie this phenomenon remain largely unknown. The lack of mechanistic data presumably reflects the complexity involved with this adaptive response, suggesting that nonbiased approaches could aid in identifying the molecular pathways involved in heterologous sensitization of AC. Previous studies have implicated kinase and Gb&#947; signaling as overlapping components that regulate the heterologous sensitization of AC. To identify unique and additional overlapping targets associated with sensitization of AC, the development and validation of a scalable cAMP sensitization assay is required for greater throughput. Previous approaches to study sensitization are generally cumbersome involving continuous cell culture maintenance as well as a complex methodology for measuring cAMP accumulation that involves multiple wash steps. Thus, the development of a robust cell-based assay that can be used for high throughput screening (HTS) in a 384&#160;well format would facilitate future studies. Using two D2 dopamine receptor cellular models (i.e.&#160;CHO-D2L and HEK-AC6/D2L), we have converted our 48-well sensitization assay (&#62;20 steps 4-5 days) to a five-step, single day assay in 384-well format. This new format is amenable to small molecule screening, and we demonstrate that this assay design can also be readily used for reverse transfection of siRNA in anticipation of targeted siRNA library screening.

Persistent activation of inhibitory G protein-coupled receptors results in sensitization of adenylyl cyclase signaling. To identify the essential molecular pathways, nonbiased approaches are necessary; however, this strategy requires the development of a scalable cell-based cAMP sensitization assay. Herein, we describe a sensitization assay for small molecule and siRNA screening.

Sensitization of adenylyl cyclase (AC) signaling has been implicated in a variety of neuropsychiatric and neurologic disorders including substance abuse ...

Bioengineering

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

Zebrafish are becoming a valuable tool in the preclinical phase of drug discovery screenings as a whole animal model with high throughput screening possibilities. They can be used to bridge the gap between cell based assays at earlier stages and in vivo validation in mammalian models, reducing, in this way, the number of compounds passing through to testing on the much more expensive rodent models. In this light, in the present manuscript is described a new high throughput pipeline using zebrafish as in vivo model system for the study of Staphylococcus epidermidis and Mycobacterium marinum infection. This setup allows the generation and analysis of large number of synchronous embryos homogenously infected. Moreover the flexibility of the pipeline allows the user to easily implement other platforms to improve the resolution of the analysis when needed. The combination of the zebrafish together with innovative high throughput technologies opens the field of drug testing and discovery to new possibilities not only because of the strength of using a whole animal model but also because of the large number of transgenic lines available that can be used to decipher the mode of action of new compounds.

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

This video article describes the high throughput pipeline that has been successfully established to infect and analyze large numbers of zebrafish embryos providing a new powerful tool for compound testing and drug discovery using a whole animal vertebrate organism.

Zebrafish are becoming a valuable tool in the preclinical phase of drug discovery screenings as a whole animal model with high throughput screening ...

A High Throughput Screen for Biomining Cellulase Activity from Metagenomic Libraries

Cellulose, the most abundant source of organic carbon on the planet, has wide-ranging industrial applications with increasing emphasis on biofuel production 1. Chemical methods to modify or degrade cellulose typically require strong acids and high temperatures. As such, enzymatic methods have become prominent in the bioconversion process. While the identification of active cellulases from bacterial and fungal isolates has been somewhat effective, the vast majority of microbes in nature resist laboratory cultivation. Environmental genomic, also known as metagenomic, screening approaches have great promise in bridging the cultivation gap in the search for novel bioconversion enzymes. Metagenomic screening approaches have successfully recovered novel cellulases from environments as varied as soils 2, buffalo rumen 3 and the termite hind-gut 4 using carboxymethylcellulose (CMC) agar plates stained with congo red dye (based on the method of Teather and Wood 5). However, the CMC method is limited in throughput, is not quantitative and manifests a low signal to noise ratio 6. Other methods have been reported 7,8 but each use an agar plate-based assay, which is undesirable for high-throughput screening of large insert genomic libraries. Here we present a solution-based screen for cellulase activity using a chromogenic dinitrophenol (DNP)-cellobioside substrate 9. Our library was cloned into the pCC1 copy control fosmid to increase assay sensitivity through copy number induction 10. The method uses one-pot chemistry in 384-well microplates with the final readout provided as an absorbance measurement. This readout is quantitative, sensitive and automated with a throughput of up to 100X 384-well plates per day using a liquid handler and plate reader with attached stacking system.

This protocol describes a high throughput screen for cellulolytic activity from a metagenomic library expressed in Escherichia coli. The screen is solution based and highly automated, and uses one-pot chemistry in 384 well microplates with the final readout as an absorbance measurement.

Cellulose, the most abundant source of organic carbon on the planet, has wide-ranging industrial applications with increasing emphasis on biofuel ...

Biology

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

High-throughput screening (HTS) is a powerful approach for identifying chemical modulators of biological processes. However, many compounds identified in screens using cell culture models are often found to be toxic or pharmacologically inactive in vivo1-2. Screening in whole animal models can help avoid these pitfalls and streamline the path to drug development.
C. elegans is a multicellular model organism well suited for HTS. It is small (&lt;1 mm) and can be economically cultured and dispensed in liquids. C. elegans is also one of the most experimentally tractable animal models permitting rapid and detailed identification of drug mode-of-action3.
We describe a protocol for culturing and dispensing fluorescent strains of C. elegans for high-throughput screening of chemical libraries or detection of environmental contaminants that alter the expression of a specific gene. Large numbers of developmentally synchronized worms are grown in liquid culture, harvested, washed, and suspended at a defined density. Worms are then added to black, flat-bottomed 384-well plates using a peristaltic liquid dispenser. Small molecules from a chemical library or test samples (e.g., water, food, or soil) can be added to wells with worms. In vivo, real-time fluorescence intensity is measured with a fluorescence microplate reader. This method can be adapted to any inducible gene in C. elegans for which a suitable reporter is available. Many inducible stress and developmental transcriptional pathways are well defined in C. elegans and GFP transgenic reporter strains already exist for many of them4. When combined with the appropriate transgenic reporters, our method can be used to screen for pathway modulators or to develop robust biosensor assays for environmental contaminants. 
We demonstrate our C. elegans culture and dispensing protocol with an HTS assay we developed to monitor the C. elegans cap &#x2018;n&#x2019; collar transcription factor SKN-1. SKN-1 and its mammalian homologue Nrf2 activate cytoprotective genes during oxidative and xenobiotic stress5-10. Nrf2 protects mammals from numerous age-related disorders such as cancer, neurodegeneration, and chronic inflammation and has become a major chemotherapeutic target11-13.Our assay is based on a GFP transgenic reporter for the SKN-1 target gene gst-414, which encodes a glutathione-s transferase6. The gst-4 reporter is also a biosensor for xenobiotic and oxidative chemicals that activate SKN-1 and can be used to detect low levels of contaminants such as acrylamide and methyl-mercury15-16.

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

A procedure for liquid-based culturing and dispensing of C. elegans strains expressing fluorescent reporter proteins is described that does not require expensive sorting equipment. This approach can be applied to numerous inducible C. elegans genes for drug discovery or biosensing of contaminants.

High-throughput screening (HTS) is a powerful approach for identifying chemical modulators of biological processes.  However, many compounds identified in ...

A High-throughput, High-content, Liquid-based C. elegans Pathosystem

The number of new drugs identified by traditional, in vitro screens has waned, reducing the success of this approach in the search for new weapons to combat multiple drug resistance. This has led to the conclusion that researchers do not only need to find new drugs, but also need to develop new ways of finding them. Amongst the most promising candidate methods are whole-organism, in vivo assays that use high-throughput, phenotypic readouts and hosts that range from Caenorhabditis elegans to Danio rerio. These hosts have several powerful advantages, including dramatic reductions in false positive hits, as compounds that are toxic to the host and/or biounavailable are typically dropped in the initial screen, prior to costly follow up.
Here we show how our assay has been used to interrogate host variation in the well-documented C. elegans&#8212;Pseudomonas aeruginosa liquid killing pathosystem. We also demonstrate several extensions of this well-worked out technique. For example, we are able to carry out high-throughput genetic screens using RNAi in 24- or 96-well plate formats to query host factors in this host-pathogen interaction. Using this assay, whole genome screens can be completed in only a few months, which can dramatically simplify the task of identifying drug targets, potentially without the need for laborious biochemical purification approaches.
We also report here a variation of our method that substitutes the gram-positive bacterium Enterococcus faecalis for the gram-negative pathogen P. aeruginosa. Much as is the case for P. aeruginosa, killing by E. faecalis is time-dependent. Unlike previous C. elegans&#8212;E. faecalis assays, our assay for E. faecalis does not require preinfection, improving its safety profile and reducing the chances of contaminating liquid-handling equipment. The assay is highly robust, showing ~95% death rates 96 h post infection.

A High-throughput, High-content, Liquid-based C. elegans Pathosystem

Here we describe a protocol that is an adaptable, whole host, high-content screening tool that can be utilized to study host-pathogen interactions and be used for drug discovery.

The number of new drugs identified by traditional, in vitro screens has waned, reducing the success of this approach in the search for new weapons to ...

Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins

Considerable progress has been made during the last decade towards the identification and characterization of enzymes involved in the synthesis (diguanylate cyclases) and degradation (phosphodiesterases) of the second messenger c-di-GMP. In contrast, little information is available regarding the molecular mechanisms and cellular components through which this signaling molecule regulates a diverse range of cellular processes. Most of the known effector proteins belong to the PilZ family or are degenerated diguanylate cyclases or phosphodiesterases that have given up on catalysis and have adopted effector function. Thus, to better define the cellular c-di-GMP network in a wide range of bacteria experimental methods are required to identify and validate novel effectors for which reliable in silico predictions fail.
We have recently developed a novel Capture Compound Mass Spectrometry (CCMS) based technology as a powerful tool to biochemically identify and characterize c-di-GMP binding proteins. This technique has previously been reported to be applicable to a wide range of organisms1. Here we give a detailed description of the protocol that we utilize to probe such signaling components. As an example, we use Pseudomonas aeruginosa, an opportunistic pathogen in which c-di-GMP plays a critical role in virulence and biofilm control. CCMS identified 74% (38/51) of the known or predicted components of the c-di-GMP network. This study explains the CCMS procedure in detail, and establishes it as a powerful and versatile tool to identify novel components involved in small molecule signaling.

The ubiquitous second messenger c-di-GMP controls growth and behavior of many bacteria. We have developed a novel Capture Compound Mass Spectrometry based technology to biochemically identify and characterize c-di-GMP binding proteins in virtually any bacterial species.

Considerable progress has been made during the last decade towards the identification and characterization of enzymes involved in the synthesis ...

Green Fluorescent Protein-based Expression Screening of Membrane Proteins in Escherichia coli

The production of recombinant membrane proteins for structural and functional studies remains technically challenging due to low levels of expression and the inherent instability of many membrane proteins once solubilized in detergents. A protocol is described that combines ligation independent cloning of membrane proteins as GFP fusions with expression in Escherichia coli detected by GFP fluorescence. This enables the construction and expression screening of multiple membrane protein/variants to identify candidates suitable for further investment of time and effort. The GFP reporter is used in a primary screen of expression by visualizing GFP fluorescence following SDS polyacrylamide gel electrophoresis (SDS-PAGE). Membrane proteins that show both a high expression level with minimum degradation as indicated by the absence of free GFP, are selected for a secondary screen. These constructs are scaled and a total membrane fraction prepared and solubilized in four different detergents. Following ultracentrifugation to remove detergent-insoluble material, lysates are analyzed by fluorescence detection size exclusion chromatography (FSEC). Monitoring the size exclusion profile by GFP fluorescence provides information about the mono-dispersity and integrity of the membrane proteins in different detergents. Protein: detergent combinations that elute with a symmetrical peak with little or no free GFP and minimum aggregation are candidates for subsequent purification. Using the above methodology, the heterologous expression in E. coli of SED (shape, elongation, division, and sporulation) proteins from 47 different species of bacteria was analyzed. These proteins typically have ten transmembrane domains and are essential for cell division. The results show that the production of the SEDs orthologues in E. coli was highly variable with respect to the expression levels and integrity of the GFP fusion proteins. The experiment identified a subset for further investigation.

Green Fluorescent Protein-based Expression Screening of Membrane Proteins in Escherichia coli

A streamlined approach to screening for the expression of recombinant membrane proteins in Escherichia coli based on fusion to green fluorescent protein is presented.

The production of recombinant membrane proteins for structural and functional studies remains technically challenging due to low levels of expression and ...

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Both transcriptional and post-transcriptional regulation have a profound impact on genes expression. However, commonly adopted cell-based screening assays focus on transcriptional regulation, being essentially aimed at the identification of promoter-targeting molecules. As a result, post-transcriptional mechanisms are largely uncovered by gene expression targeted drug development. Here we describe a cell-based assay aimed at investigating the role of the 3&#39; untranslated region (3&#8217; UTR) in the modulation of the fate of its mRNA, and at identifying compounds able to modify it. The assay is based on the use of a luciferase reporter construct containing the 3&#8217; UTR of a gene of interest stably integrated into a disease-relevant cell line. The protocol is divided into two parts, with the initial focus on the primary screening aimed at the identification of molecules affecting luciferase activity after 24 hr of treatment. The second part of the protocol describes the counter-screening necessary to discriminate compounds modulating luciferase activity specifically through the 3&#8217; UTR. In addition to the detailed protocol and representative results, we provide important considerations about the assay development and the validation of the hit(s) on the endogenous target. The described cell-based reporter gene assay will allow scientists to identify molecules modulating protein levels via post-transcriptional mechanisms dependent on a 3&#8217; UTR.

Here we describe a cell-based reporter gene assay as a valuable tool to screen chemical libraries for compounds modulating post-transcriptional control mechanisms exerted through 3&#8217; UTR.

Both transcriptional and post-transcriptional regulation have a profound impact on genes expression. However, commonly adopted cell-based screening assays ...

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System

The recent development of a high-throughput single-cell assay technique enables the screening of novel enzymes based on functional activities from a large-scale metagenomic library1. We previously proposed a genetic enzyme screening system (GESS) that uses dimethylphenol regulator activated by phenol or p-nitrophenol. Since a vast amount of natural enzymatic reactions produce these phenolic compounds from phenol deriving substrates, this single genetic screening system can be theoretically applied to screen over 200 different enzymes in the BRENDA database. Despite the general applicability of GESS, applying the screening process requires a specific procedure to reach the maximum flow cytometry signals. Here, we detail the developed screening process, which includes metagenome preprocessing with GESS and the operation of a flow cytometry sorter. Three different phenolic substrates (p-nitrophenyl acetate, p-nitrophenyl-&#946;-D-cellobioside, and phenyl phosphate) with GESS were used to screen and to identify three different enzymes (lipase, cellulase, and alkaline phosphatase), respectively. The selected metagenomic enzyme activities were confirmed only with the flow cytometry but DNA sequencing and diverse in vitro analysis can be used for further gene identification.

This work presents a method of high-throughput screening using a universal genetic enzyme screening system that can be theoretically applied to over 200 enzymes. Here, the single screening system identifies three different enzymes (lipase, cellulase, and alkaline phosphatase) by simply changing the substrate used (p-nitrophenyl acetate, p-nitrophenyl-&#946;-D-cellobioside, and phenyl phosphate).

The recent development of a high-throughput single-cell assay technique enables the screening of novel enzymes based on functional activities from a ...

High-Throughput Screening Analysis for 4B Cysteine Peptidase Autophagy Inhibitor

Cell-Based Drug Screening for Inhibitors of Autophagy Related 4B Cysteine Peptidase

Growing evidence has shown that high autophagic flux is related to tumor progression and cancer therapy resistance. Assaying individual autophagy proteins is a prerequisite for therapeutic strategies targeting this pathway. Inhibition of the autophagy protease ATG4B has been shown to increase overall survival, suggesting that ATG4B could be a potential drug target for cancer therapy. Our laboratory has developed a selective luciferase-based assay for monitoring ATG4B activity in cells. For this assay, the substrate of ATG4B, LC3B, is tagged at the C-terminus with a secretable luciferase from the marine copepod Gaussia princeps (GLUC). This reporter is linked to the actin cytoskeleton, thus keeping it in the cytoplasm of cells when uncleaved. ATG4B-mediated cleavage results in the release of GLUC by non-conventional secretion, which then can be monitored by harvesting supernatants from cell culture as a correlate of cellular ATG4B activity. This paper presents the adaptation of this luciferase-based assay to automated high-throughput screening. We describe the workflow and optimization for exemplary high-throughput analysis of cellular ATG4B activity.

Author Spotlight: A Selective Luciferase-Based Assay for Monitoring ATG4B 27 Activity in Cells 

Here, we describe a detailed protocol for the use of a luciferase-based reporter assay in a semi-automated, high-throughput screening format.

Growing evidence has shown that high autophagic flux is related to tumor progression and cancer therapy resistance. Assaying individual autophagy proteins ...

Establishment of a High-throughput Setup for Screening Small Molecules That Modulate c-di-GMP Signaling in Pseudomonas aeruginosa

Summary

Explore More Videos

Chapters in this video

Drug-induced Sensitization of Adenylyl Cyclase: Assay Streamlining and Miniaturization for Small Molecule and siRNA Screening Applications

Establishment and Optimization of a High Throughput Setup to Study Staphylococcus epidermidis and Mycobacterium marinum Infection as a Model for Drug Discovery

A High Throughput Screen for Biomining Cellulase Activity from Metagenomic Libraries

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

A High-throughput, High-content, Liquid-based C. elegans Pathosystem

Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins

Green Fluorescent Protein-based Expression Screening of Membrane Proteins in Escherichia coli

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System

Cell-Based Drug Screening for Inhibitors of Autophagy Related 4B Cysteine Peptidase