This study developed an assay for high-throughput screening against Mycobacterium abscessus with a recently created double reporter strain, using fluorescence and luminescence to assess bacterial viability quickly. This protocol will be relevant for researchers aiming to screen new drugs against this drug-resistant bacteria.
Mycobacterium abscessus (Mab) infections are challenging to treat due to high intrinsic drug resistance, comparable to multidrug-resistant tuberculosis. Treatments are extremely ineffective and based on a multi-drug regimen, resulting in low patient compliance. Consequently, the scientific community is urged to identify new and effective drugs to treat these infections. One of the strategies employed to this end is drug repurposing – the process of identifying new therapeutic opportunities for existing drugs in the market, circumventing the time required to establish pharmacokinetic and safety profiles of new drugs. With most studies on drug development against Mab relying on traditional and time-consuming methods, an assay for high-throughput drug screening was developed against mycobacteria using an in house developed double-reporter strain of Mab. Using liquid-handling robotics, automated microscopy, and analysis, alongside in house developed double reporter strains, bacterial viability can be rapidly measured using two different readouts, luminescence and fluorescence, without adding reagents or performing any extra steps. This reduces time and variability between assays, a major advantage for high-throughput screenings. The described protocol was validated by screening a library of 1280 compounds. The obtained results were corroborated by the literature, with efficient detection of active compounds. Thus, this work fulfilled the aim of supplying the field with a new tool to help fight this extremely drug-resistant bacteria.
Mycobacterium abscessus (Mab) is an opportunistic pathogen responsible for pulmonary infections, especially in people with cystic fibrosis and other lung disorders. Infections caused by Mab are infamously challenging to treat due to exquisite intrinsic drug resistance, comparable to multidrug-resistant tuberculosis1. The available drugs are largely ineffective due to the highly impermeable mycobacterial cell envelope and a genome that encodes several enzymes that deactivate antibiotics2. Thus, treatment includes the combination of several drugs taking months to years. This challenging multi-drug regimen combined with low patient compliance results in an average cure rate of 30% to 50%3. Furthermore, the prevalence of pulmonary infections caused by non-tuberculous mycobacteria has increased over the past few decades, including the ones caused by Mab1,4. Consequently, the scientific community is racing to develop new compounds to treat Mab infections.
One of the strategies pursued with this aim is drug repurposing – the process of identifying new therapeutic opportunities for existing drugs. This circumvents the biggest challenge accompanying a new drug's discovery and development pipeline – time5. This simple concept takes advantage of the already established pharmacokinetic and safety profiles of several drugs to reduce developmental costs and shorten the timescale that it takes to get a drug from bench to bedside6. Thus, libraries that combine hundreds to thousands of such compounds have been compiled, allowing researchers to quickly test the possibility of repurposing drugs against their pathogen of interest.
Most studies on drug development against Mab are based around a gold-standard yet traditional assay that evaluates a compound's in vitro activity against mycobacteria – colony-forming units counting7. Despite its accuracy, this procedure is extremely time-consuming, quickly becoming non-feasible when someone aims to test libraries containing thousands of compounds. To this end, high-throughput screenings (HTS) have been integrated into drug development – robust assays that take advantage of robotics and liquid handling devices, allowing thousands of compounds to be quickly screened in parallel8. This is typically done by testing a single concentration initially, using microtiter plates of 96-, 384-, 1536-, or 3456- well formats, acting as a starting point to identify hits and further optimize them down the pipeline to be clinically used.
Reporter-based assays provide a significant advantage for the robustness of HTS due to their simplicity and sensitivity compared to other dye and absorbance-based assays7,9. However, to our knowledge, only a few studies have optimized a high-throughput screening against Mab9.
Recently, our lab has developed double reporter strains capable of concomitantly emitting luminescence and fluorescence10. Mab operon_mScarlet is one of those strains. It is auto-luminescent due to the expression of the LuxABCDE operon, which includes a bacterial luciferase (by expression of the luxAB genes) and a long-chain aldehyde substrate (by expression of the luxCDE genes). On the other hand, the fluorescent readout is obtained through the expression of a recently developed red fluorescent protein, mScarlet, which outperforms the more typically used eGFP and mCherry proteins, providing a more potent signal11. Using this strain enables us to assess the bacterial viability in liquid culture by measuring the luminescent signal in a microplate reader without adding reagents or performing additional steps. In terms of detection, intrinsic fluorescence allows for microscope visualization in live or fixed cells without using dyes or antibodies. Having one single strain with both readouts provides researchers with a significant advantage when using it in HTS assays – the reduced variability between assays with different readouts, as there is no need to exchange strains based on the nature of the assay.
Thus, this work developed a high-throughput assay against Mab using an in house engineered double reporter strain (Figure 1). This allowed for a quick assessment of the in vitro activity 1280 drugs intended for repurposing using a commercial library (see Table of Materials). Firstly, the activities were assessed in broth culture assay using luminescence, and secondly, by using Mab-infected macrophages taking advantage of the fluorescent signal, better emulating the infection process seen in vivo12.
Figure 1: Graphical abstract of the established protocol. The key player in this screening is an in house developed double reporter mycobacterial strain, which is used throughout all experiments. Firstly, using a reagent dispenser and planktonic bacteria, an initial screening is performed by testing the compounds at a single concentration. The identified hits carry on to the validation assay, where three different concentrations are tested. Both experiments are done using the luminescent readout. The validated hits carry on to the infection assay, where three different concentrations are also tested, and bone marrow-derived macrophages are infected at MOI 1. A high-content imaging system acquires the bacterial fluorescent signal, and analysis software is used to assess the intracellular load through the Mycoload formula. The number of compounds reduces as assay complexity increases. Created with BioRender.com. Please click here to view a larger version of this figure.
All animal procedures were approved by the Local Animal Ethics Committee of i3S and licensed by the Portuguese Authority General Directorate for Food and Veterinary (DGAV), following the European Council Directive (2010/63/EU) and the Portuguese law (DL 113/2013) for animal welfare on experimentation.
1. Z' factor assessment
NOTE: To assess the performance of an HTS assay, several parameters can be determined. The most used parameter is the Z prime factor (Z' factor). This metric measures the statistical effect size of a given experiment, indicating how well separated positive and negative controls are. If a Z' factor ranges between 0.5 and 1, the separation between both populations is excellent, and these conditions can be used in the HTS assay. If Z' < 0.5, the separation is only marginal, and it is not recommended to perform the screening13. As such, an experiment using half a plate with non-treated bacteria and the other half with a positive control to calculate the Z' factor was designed (Supplementary Figure 1).
2. Library screening for hits
NOTE: The first screenings were performed against bacteria growing in liquid culture. The setup was designed for 384-well plates with 30 µL of final volume. Each plate contained blank wells (liquid growth medium only), negative controls (non-treated bacteria), and solvent control (bacteria plus compound's solvent – in this case, DMSO; Supplementary Figure 2). The compounds or solvent were added to the plate at 2x the desired final concentration, and bacteria were added 1:1 (diluting everything to half).
3. Hit screening data analysis
NOTE: To identify hits with the acquired luminescence data, the values must be normalized to the solvent in which the compounds are dissolved and, if it occurs, to the edge effect verified on the 384-microtiter plates.
4. Hit validation assay
NOTE: After identifying hits, these need to be validated using different concentrations. The validation assay uses a similar setup with the same controls, but each hit will be subjected to 1:2 serial dilutions. For this assay, three concentrations were used – 13.3 µM, 6.66 µM, and 3.3 µM. Solvent controls will contain the same solvent % as each compound well (Supplementary Figure 3).
5. Infection assay
NOTE: Mab is an intracellular facultative pathogen, so the hits' antimicrobial activity and host toxicity must be determined in infection assays. For that, bone marrow-derived macrophages (BMM) were infected with Mab and treated with the hits validated in step 4 at different concentrations. Each assay included blank (only water), negative controls (non-treated infected macrophages), positive controls (infected macrophages treated with an effective antibiotic), solvent controls (in this case, DMSO), and the compounds to be tested in three concentrations – 13.3 µM, 6.66 µM, and 3.3 µM (Supplementary Figure 4).
6. Image analysis
NOTE: The image analysis is performed with the analysis software, which is the same as the high-content imaging system used to acquire the images. An analysis pipeline must be created using sample images (Supplementary Figure 5). Afterward, it will be applied to the entire well (57 FOV) and dataset (all plates). The analysis software follows a logical sequence of steps, starting with the segmentation of the different regions of interest (nuclei, cytoplasm, cells, and bacteria), relating them (e.g., bacteria within cells), and then extracting morphological and intensity properties (e.g., area, intensity). The essential steps of the image analysis are described below. The full protocol used can be found in Supplementary Figure 5.
Z' factor assessment
Figure 2 depicts the data of one out of two experiments performed to calculate the Z' factor. The positive control was clarithromycin at 4 µg/mL. Both experiments yielded Z' factors of 0.64 and 0.62, meaning that the conditions and readout used for this assay can be applied to the screening assay that followed (Z' > 0.5). Nonetheless, the Z' factor was calculated for all the remaining experiments (infection assay) to control each experiment's performance.
As proof of concept of the designed HTS assay, a library of compounds intended for drug repurposing was tested. It comprises 1280 diverse and small molecules, 95% of which are both FDA- and EMA-approved drugs. These molecules offer high chemical and pharmacological diversity.
Figure 2: Z' factor assessment results. Mab at 2.5 x 105 CFUs/mL was incubated with and without clarithromycin at 4 µg/mL for 48 h at 37 °C. After the incubation period, the luminescence was measured to evaluate mycobacterial viability. The graph shows the individual luminescence values of treated and non-treated viable mycobacteria in one independent experiment. Please click here to view a larger version of this figure.
Library screening for hits
All compounds were tested at 6.66 µM against Mab. Due to the size of the library, the compounds were divided into four different microtiter 384-well plates (Figure 3A-D). The results were normalized for both solvent and the verified edge effect.
In this screening assay, thirty-three hits were identified, thirty of which significantly decreased luminescence emission, reducing mycobacterial viability (Figure 3). Interestingly, three compounds led to higher luminescence emission, possibly related to increased bacterial metabolism or proliferation (Figure 3). All 33 hits were carried on to the validation assay, including the three compounds that increased luminescence, to test if this profile would be kept.
Figure 3: Library screening results. (A-D) Mab at 2.5 x 105 CFUs/mL was incubated with 1280 compounds at 6.66 µM for 48 h at 37 °C. After incubation, the luminescence was measured to evaluate mycobacterial viability. The graphs show the RLU of one independent experiment, presented as arbitrary units after solvent and edge effect normalization. The AVG RLU and its corresponding SD were calculated for each plate to determine a threshold (in grey; AVG ± 3SD). Round symbols represent a tested compound. In blue, any compound outside of that threshold is deemed a hit. Please click here to view a larger version of this figure.
Hit validation assay
The concentrations used for this assay were 13.3 µM, 6.66 µM, and 3.3 µM. Each compound was tested in duplicate to increase robustness.
Importantly, compounds 30, 31, and 32, previously associated with higher RLU (Figure 3A,C), kept this profile, with more than 200% of mycobacterial viability achieved in wells treated with compound 32 (Figure 4).
Compounds 20 and 33 were deemed inactive, as the mycobacterial viability is close to 100% in all concentrations tested (Figure 4).
Compounds 9 and 21 displayed similar inactivity at the two lowest concentrations; however, contrary to 20, they remain active at the highest, 13.3 µM, with compound 21 displaying higher potency (Figure 4).
Compound 3 also displays inactivity at the lowest concentration and an activity loss at 6.66 µM, albeit less than compound 21 (Figure 4). Only in the lowest concentration, compounds 2, 7, 8, 10, 16, 18, 24, and 28 displayed lower therapeutic potential. However, 2, 10, and 28 still lead to <50% of mycobacterial viability.
Globally, the remaining fourteen compounds were active in all concentrations tested.
Figure 4: Hit validation assay results. Mab at 2.5 x 105 CFUs/mL was incubated with each previously identified hit at 13.3 µM, 6.66 µM, and 3.3 µM (1.3%, 0.7%, and 0.3% of DMSO, respectively) for 48 h at 37 °C. After the incubation period, the luminescence was measured to evaluate mycobacterial viability. The graph shows the percentages of treated viable mycobacteria relative to the non-treated mycobacteria of one independent experiment, with each compound tested in duplicate. Round symbols represent the duplicates for each compound. Bars represent the average of those duplicates. Please click here to view a larger version of this figure.
Infection assay
Out of thirty-three tested compounds, twenty-eight were selected for the infection assay (Figure 4). Compounds 7, 8, 9, 20, and 33 were not selected for this assay. While 9, 20, and 33 were left out due to their inactivity when validated (Figure 4), the first two were left out due to technical reasons. Nonetheless, these compounds were identified as rifampicin and linezolid, antibiotics already used to treat Mab infections12. All the compounds tested in the infection assay were identified and are listed in Table 1. The antimicrobial activity of the compounds against Mab-infected macrophages was assessed by using the intrinsic fluorescence of the bacteria as a readout.
Compound | Name | Compound | Name |
1 | Sulfathiazole | 18 | Cefuroxime |
2 | Ciprofloxacin | 19 | Rifaximin |
3 | Cefotaxime | 21 | Cefdinir |
4 | Daunorubicin | 22 | Clarithromycin |
5 | Doxorubicin | 23 | Besifloxacin |
6 | Thiostrepton | 24 | Levofloxacin |
10 | Amikacin | 25 | Rifabutin |
11 | Moxalactam | 26 | Gatifloxacin |
12 | Sulfamethizole | 27 | Epirubicin |
13 | Sulfamonomethoxine | 28 | Pyrvinium pamoate |
14 | Cefoxitin | 29 | Moxifloxacin |
15 | Novobiocin | 30 | Troleandomycin |
16 | Cefmetazole | 31 | Lincomycin |
17 | Roxithromycin | 32 | Spiramycin |
Table 1: List of the compounds tested in the infection assay. The compounds validated in step 4 were tested in the infection assay (step 5).
The compounds' toxicity towards Mab-infected macrophages was the first parameter assessed. The threshold established to deem a compound as toxic or non-toxic was 85% of viable macrophages (Figure 5). Of the twenty-eight compounds tested, 4, 5, 6, 27, and 28 were deemed toxic. (Figure 5). Thus, these five compounds were excluded from the following intramacrophagic activity assessment.
Figure 5: Hits' toxicity towards Mab-infected macrophages. BALB/c mice BMMs were infected with Mab (MOI=1) and incubated with each previously identified hit at 13.3 µM, 6.66 µM, and 3.3 µM (1.3%, 0.7%, and 0.3% of DMSO, respectively) for 48 h at 37 °C with 7% CO2. The cells were imaged in a high-content screening fluorescence microscope, using the number of nuclei (stained with DAPI) to measure cell viability. The graph shows the percentages of viable treated infected macrophages relative to the viable non-treated infected macrophages of two independent experiments. Round symbols represent the cell's viability for each assay. Bars represent the average of two independent experiments. Please click here to view a larger version of this figure.
To infer the intramacrophagic activity of the remaining twenty-three compounds against intracellular Mab (Figure 6), the Mycoload formula (previously explained in step 6) was used to obtain the percentage of mycobacterial viability normalized to non-treated infected macrophages. Most compounds lost their therapeutic potential against internalized mycobacteria (Figure 6) compared to the hit validation assay (Figure 4), as the number of hits reduced from twenty-five to six at the highest tested concentration. Strikingly, all three compounds that increased the viability of planktonic Mab compared to non-treated bacteria (30, 31, and 32; Figure 3 and Figure 4) displayed antimycobacterial activity against intracellular Mab, with compounds 30 and 32 presenting a significant statistical difference when compared to DMSO, even at 3.3 µM in the case of compound 32 (Figure 6). Mycobacteria treated with compounds 11 and 23 displayed viability <50% at 13.3 µM; however, this was not significantly different from the DMSO control (Figure 6). Compounds 21, 26, and 29 were potent enough at 13.3 µM to warrant a significant statistical difference, with 29 being the most active (Figure 6). Lastly, compounds 17, 22, and 25 were extremely potent in all tested concentrations against internalized mycobacteria. These were identified as roxithromycin, clarithromycin, and rifabutin, respectively (Table 1). Of the three compounds, clarithromycin was the most active against Mab, with mycobacterial viability never surpassing 10%, presenting a p-value <0.0001 in all concentrations tested compared to DMSO (Figure 6).
Figure 6: Hits' intramacrophagic activity against Mab-infected macrophages. BALB/c mice BMMs were infected with Mab (MOI=1) and incubated with each previously identified hit at 13.3, 6.66, and 3.3 µM (1.3, 0.7, and 0.3% of DMSO, respectively) for 48 h at 37 °C with 7% CO2. The cells were imaged in a high-content screening fluorescence microscope, and the fluorescent signal was used to calculate the Mycoload (see step 6). The graph shows the percentages of Mycoload found in treated infected macrophages relative to non-treated infected macrophages in two independent experiments. Statistics were performed using two-way ANOVA with Dunnet's multiple-comparison test; *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001 compared to DMSO (solvent control). Asterisks follow the same color code for each concentration as the graph's legend. Round symbols represent the Mycoload for each assay. Bars represent the average of two independent experiments. Please click here to view a larger version of this figure.
Supplementary Figure 1: Example of a 384-well plate layout used in the Z' factor assessment. White – blank wells (liquid growth medium only); yellow – positive control (bacteria treated with an antibiotic); red – negative control (non-treated bacteria). Please click here to download this File.
Supplementary Figure 2: Example of a 384-well plate layout used in the library screening. White – blank wells (liquid growth medium only); green – solvent control; red – negative control (non-treated bacteria); blue – compounds to be screened. Please click here to download this File.
Supplementary Figure 3: Example of a 384-well plate layout used for hit validation. White – blank wells (liquid growth medium only); green – solvent control (in duplicates); red – negative control (non-treated bacteria); blue – compounds to be screened (in duplicates). Faded colors represent 1:2 serial dilutions. Please click here to download this File.
Supplementary Figure 4: Example of a 96-well plate layout used for an infection assay. White – blank wells (water to prevent evaporation); red – negative control (non-treated macrophages); yellow – positive control (macrophages treated with an antibiotic); green – solvent control; blue – compounds to be tested. Faded colors represent 1:2 serial dilutions. Please click here to download this File.
Supplementary Figure 5: Image analysis protocol. A detailed protocol of image analysis is used in this work, which can be adapted to open-source software. Please click here to download this File.
This protocol describes a drug screening pipeline against Mab using in house-developed strains10. Using liquid-handling robotics, automated microscopy and analysis, and double reporter strains, bacterial viability is rapidly assessed using luminescence or fluorescence without adding reagents or performing extra steps. This approach reduces time and variability between assays, which is a significant advantage when considering the purpose of HTS assays.
When screening thousands of compounds, an effective drug must be easily identified. To this end, the Z' factor is often used to measure the statistical effect size, inferring the assay's performance. If the Z' factor > 0.5, the tested conditions are optimal to distinguish between treated and non-treated populations13. The tested conditions yielded Z' factors > 0.6 (Figure 2), statistically proving they could be applied to a screening campaign. This step is crucial to ensure the effectiveness of the screening.
Thus, an HTS protocol was developed to detect the antimicrobial activity of thousands of compounds against Mab growing planktonically. As Mab is an intracellular facultative pathogen, the designed protocol also screens the intracellular antimicrobial activity against the same bacterial strain – a critical advantage. Furthermore, toxicity towards the host cells can also be assessed. Thus, a multi-step approach to drug screening against Mab is described, using different experimental setups to assess antimicrobial activity along with cytotoxicity, increasing the chances of success. As proof of concept, a chemical library comprising 1280 compounds was screened.
A total of thirty-three hits were identified (Figure 3). Out of those, three significantly increased the mycobacterial viability in liquid cultures (compounds 30, 31, and 32; Figure 3 and Figure 4). It should be noted that these compounds may interfere with the luminescence emission without impacting bacterial viability. When tested against internalized mycobacteria, these compounds showed antimicrobial activity (Figure 6), demonstrating a higher efficacy against Mab after host cell internalization. These compounds were identified as troleandomycin (30), spiramycin (32), and lincomycin (31; Table 1). The former two are macrolides, a class of antibiotics used to treat mycobacterial infections16, and the latter is a lincosamide, an antibiotic with a mechanism of action similar to macrolides17. It has been reported that Mab is particularly resistant to another lincosamide, clindamycin, in both liquid and solid cultures18. Nonetheless, immunomodulatory and anti-inflammatory properties have been associated with macrolides19,20 and lincosamides21, which could explain the increased antimicrobial activity against internalized mycobacteria (Figure 6).
Of the remaining thirty hits, eleven reduce by >90% the mycobacterial viability in all concentrations (Figure 4). Given that, a typical HTS assay has an expected hit rate of ~1%22, the developed protocol is in agreement with what is usually observed. Nonetheless, several other compounds were still active, and twenty-eight carried on to the infection assay.
Out of the identified compounds, five compounds were deemed toxic (Figure 5) – daunorubicin (4), doxorubicin (5), epirubicin (27), thiostrepton (6), and pyrvinium pamoate (28; Table 1). The first three are anti-neoplastic agents23,24,25, so unsurprisingly, they are toxic to the mammalian cells used in this assay. Pyrvinium pamoate was used for many years as an effective anthelminthic; however, since 2004, it has also been linked with anti-neoplastic activities26. Lastly, thiostrepton is an oligopeptide often used in veterinary medicine, never approved for use in humans27. The activity of this drug against breast cancer cells has been reported28. The intramacrophagic activity of thiostrepton was not assessed due to its toxicity on bone marrow-derived macrophages (Figure 5). However, it has been shown that thiostrepton is effective at 5 µM on Mab-infected THP-1 cells29. The reported results against planktonic bacteria29 are similar to those obtained in this screening, with thiostrepton being extremely potent (Figure 4).
Most compounds screened for intramacrophagic activity showed no therapeutic potential (Figure 6). Bacterial intracellular growth is considerably different from planktonic cultures. In the latter, direct contact between bacteria and drugs is always possible. In the former, due to internalization by host cells, several host membranes act as physical barriers that drugs need to transpose to reach the target, which can help explain the decreased antimicrobial activity of most hits. At the highest concentration, 13.3 µM, three compounds displayed enough potency to be statistically different from the DMSO control (Figure 6) – cefdinir (21), gatifloxacin (26) and moxifloxacin (29; Table 1). While moxifloxacin is already used as a second-line anti-tuberculosis drug16, cefdinir is commonly used to treat several respiratory tract bacterial infections, such as pneumonia30. However, its activity against M. tuberculosis31 and Mab has been reported, displaying a potent synergistic effect with a carbapenem against the latter32. Gatifloxacin is a fluoroquinolone, and its activity has been reported against several mycobacteria in the past33,34. The three most active compounds in this assay (Figure 6) were roxithromycin (17), clarithromycin (22), and rifabutin (25; Table 1), which are extremely potent in all concentrations. The first two are macrolides, whereas rifabutin is a rifamycin, with both classes serving as the basis for treatment against many mycobacterial infections16.
This screening relies on specific and expensive liquid handling equipment to reduce variability between assays. Despite being extremely reproducible, the liquid handler does not have a contactless transfer of compounds, such as an acoustic one. Thus, certain adherent compounds can stay attached to the metal pins between transfers, carrying over to following wells, resulting in false positives during the screening phase – this was what happened with compound 33. This is why validating the screening is so critical to its success, ensuring that no false positives carry on to the next steps of the drug screening pipeline. The infection assay uses a high-content imaging system with a confocal mode to obtain the best definition possible of the bacterial regions. Nonetheless, it is still possible to use it without a confocal mode, albeit at a definition loss and possibly hampering the identification of bacterial regions. This protocol takes advantage of the simple and user-friendly analysis software integrated with the imaging system; however, open-source software can be used following the protocol (Supplementary Figure 5). Ultimately, despite not repurposing drugs to treat Mab infections, these results are extremely important because they validate the established protocol, which can be expanded to larger libraries. Importantly, we believe this protocol can be adapted to any bacteria, provided fluorescent or luminescent readouts are available. Thus, this work contributes significantly to the drug discovery field, supplying the necessary tools to help fight one of the greatest public health problems- antibiotic-resistant bacteria- and particularly an almost intractable pathogen- Mycobacterium abscessus.
The authors have nothing to disclose.
This work is financed by Portuguese national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P, within the project PTDC/BIA-MIC/3458/2020 (DOI: 10.54499/PTDC/BIA-MIC/3458/2020) and PhD fellowships 2021.07335.BD to GSO and UI/BD/150830/2021 to CMB; FWO – Research Foundation Flanders, grant n° 1S68720N; Innovative Medicine Initiative 2 Call 16 (IMI2-Call 16) proposal RespiriTB under the agreement number 853903. The authors acknowledge the support of the i3S Scientific Platform BioSciences Screening, member of the national infrastructures PT-OPENSCREEN (NORTE-01-0145-FEDER-085468) and PPBI – Portuguese Platform of Bioimaging (PPBI-POCI-01-0145-FEDER-022122).
10% Neutral buffered formalin | Bio Optica | 05-01005Q | fixation solution |
384-well black round bottom polypropylene not treated microplate | Corning | 3658 | White microplates can be used; polystyrene can be used |
50 TS Washer | BioTek | ||
Breathe-Easy sealing membrane | Sigma-Aldrich | Z380059-1PAK | |
cell::explorer | Revvity | equipment handling robot | |
Clarithromycin | Sigma-Aldrich | A3487-100MG | Dissolved in DMSO to the desired concentration |
DMSO | Fisher Scientific | D/4121/PB15 | Dilute in liquid growth medium to the desired concentration |
Harmony 5.1 | Revvity | analysis software | |
Heracell VIOS 160i CO2 Incubator, 165 L | Thermo Scientific | cell incubator | |
JANUS with 4 Tip Arm and MDT Arm | Revvity | liquid handler | |
KB 8182 | Termaks | incubator with agitation | |
Libra S4+ | Biochrom | ||
Multidrop Combi Reagent Dispenser | Thermo Scientific | ||
Opera Phenix Plus | Revvity | imaging system | |
PhenoPlate | Revvity | 6055302 | Necessary for high-content microscopes |
Phosphate Buffer Saline (PBS) 1x | NA | NA | washing solution |
Prestwick Chemical libraries | Commercial chemical library intended for drug repurposing | ||
Shaking incubator 3031 | GFL | ||
VICTOR Nivo | Revvity | ||
Cell culture medium: | When needed, add 10% of supplement | ||
DMEM | Gibco | 10938-025 | |
Fetal Bovine Serum (FBS) | Biowest | S1810 | |
HEPES Buffer Solution (1 M) | Gibco | 15630-056 | |
LCCM | NA | NA | Conditioned media from L929 cell line that releases Macrophage colony stimulating factor (M-CSF); cell culture medium supplement |
L-glutamin (200 mM) | Thermo Scientific | 25030024 | |
Sodium Pyruvate 100 mM (100X) | Gibco | 11360-039 | |
Infection washing solution | |||
Apirogenic water | Multiple suppliers available | ||
Hank's Balanced Salt Solution 10x | Gibco | 14060-040 | Dilute to 1x with apirogenic water |
Permeabilising Solution | PBS with 0.1% Triton X100 | ||
PBS 1x | NA | NA | |
Triton X100 | Sigma-Aldrich | T8787 | Other suppliers available |
Staining solution | PBS with DAPI (500 ng/mL) and HCS Far Red (10 ng/mL) | ||
DAPI | Sigma-Aldrich | D9564 | |
HCS Far Red | Invitrogen | H32721 | |
PBS 1x | NA | NA | Multiple suppliers available |
Liquid growth medium | When needed, add 10% supplement | ||
Middlebrook 7H9 Broth | BD Difco | 271310 | |
Tween80 | Sigma-Aldrich | P4780 | 0.05% final concentration. Other suppliers available |
Liquid growth medium supplement: | |||
Bovine Serum Albumin | Fisher Scientific | BP9702-100 | |
D-Glucose anhydrous | Fisher Scientific | G/0450/60 |
.