Botulinum neurotoxin is one of the most potent toxins among Category-A biothreat agents, yet a post-exposure therapeutic is not available. The high content imaging approach is a powerful methodology for identifying novel inhibitors as it enables multiparameter screening using biologically relevant motor neurons, the primary target of this toxin.
Synaptosomal-associated protein-25 (SNAP-25) is a component of the soluble NSF attachment protein receptor (SNARE) complex that is essential for synaptic neurotransmitter release. Botulinum neurotoxin serotype A (BoNT/A) is a zinc metalloprotease that blocks exocytosis of neurotransmitter by cleaving the SNAP-25 component of the SNARE complex. Currently there are no licensed medicines to treat BoNT/A poisoning after internalization of the toxin by motor neurons. The development of effective therapeutic measures to counter BoNT/A intoxication has been limited, due in part to the lack of robust high-throughput assays for screening small molecule libraries. Here we describe a high content imaging (HCI) assay with utility for identification of BoNT/A inhibitors. Initial optimization efforts focused on improving the reproducibility of inter-plate results across multiple, independent experiments. Automation of immunostaining, image acquisition, and image analysis were found to increase assay consistency and minimize variability while enabling the multiparameter evaluation of experimental compounds in a murine motor neuron system.
The bacterium Clostridium botulinum produces Botulinum neurotoxin, one of the most potent biological toxins known to man1. There are 7 distinct BoNT serotypes (BoNT/A-G). BoNT/A-Gall induce paralysis at the neuromuscular junction due to SNARE complex proteolysis 2,3. SNARE proteolysis prevents neurotransmitter vesicle-membrane fusion and therefore blocks neurotransmitter exocytosis4. The specific SNARE target depends upon the particular BoNT serotype involved in the intoxication process. BoNT/A and BoNT/E cleave SNAP-25 whereas BoNT/C cleaves both SNAP-25 and syntaxin5. The remaining serotypes cleave synaptobrevin (also called Vesicle-associated membrane protein (VAMP). BoNT/A was chosen for assay development as it is responsible for a high proportion of naturally occurring botulism and has the longest duration of action6. Development of small molecule therapeutics against BoNT/A is a major goal for our drug discovery program and has utilized traditional target-based methods to identify active site proteolytic inhibitors7,8-10. However, the creation of active site inhibitors with broad spectrum activity against multiple serotypes and post-exposure efficacy will likely be challenging.
We have therefore implemented an innovative, phenotypic drug discovery approach that uses BoNT SNAP-25 cleavage as a functional endpoint to identify small molecules that can block BoNT-mediated motor neuron intoxication. SNAP-25 is required for neurotransmitter release, as degradation of SNAP-25 is predictive of paralysis and lethality in vivo. For example, cell-based screening could lead to discovery of new modulators of cellular factors responsible for toxin inactivation or inhibition of toxin pathways inside targeted cells. An important factor in phenotypic assay development is the selection of physiologically relevant biological models. We and others have described mouse embryonic stem (ES) cell-derived motor neurons that recapitulate the immunologic character of primary motor neurons, including the expression of SNAP-2511-13. Importantly, these cellular systems are highly sensitive to BoNT/A intoxication and demonstrate dose-dependent cleavage of SNAP-25 in response to increasing concentrations of toxin11,12. The differentiated motor neurons are also produced in quantities that are sufficient for high throughput plate based analysis and allowed the design of an array of cellular assays.
The phenotypic assay is an immunofluorescence method utilizing two distinct antibodies to quantify cleavage of endogenously expressed full length SNAP-25 during BoNT/A intoxication of mouse motor neuron culture. A carboxyl terminal BoNT/A cleavage-sensitive (BACS) antibody that recognizes only full length SNAP-25 allows the assessment of BoNT/A mediated proteolysis of SNAP-25 expression in mouse motor neurons10. A schematic diagram of the HCI assay is depicted in Figure 1.
Plate 20,000 differentiated mouse ES cells (MES) / well in a 96 well Poly-D lysine coated plates and maintain in motor neuron terminal differentiation media for 5-7 days.
1. Compound Administration and Intoxication with BoNT/A
Perform all of the following work in a BSL2 enclosure to maintain compliance with CDC/NIH guidelines.
2. Immunostaining
The immunostaining procedure is a labor-intensive, multistep operation that includes repetitive reagent dispense/aspirate cycles and extensive plate washing which can lead to the potential introduction of significant intraplate and interplate variability. A semi-automated approach is applied to save the time of laboratory personnel, increase assay throughput, and minimize immunostaining variability.
3. Imaging
NOTE: Perform image acquisition using High Content Imaging System (See Materials and Equipment).
4. Image Analysis (Figure 6)
NOTE: The following steps describe application of the Columbus software algorithms.
5. Data Analysis:
To assess the robustness of the designed assay, calculate the following parameters from the plate-based experiment.
Data from high and low controls created two distinct populations with the difference of two medians exceeding 3 standard deviations (Figure 7A). The goal of the screening process is to find the compounds within the sample population with values closer to positive control population, assuming a normal distribution within the sample population (Figure 7B, (i)). Data points that are 3 standard deviations beyond the mean are considered statistically different from the noise and classified as an active “hit” (Figure 7B(ii), red boxes). The compounds that are classified as “hits” will be subjected to further confirmation testing in future studies. Figure 7B (ii) shows the detection of positive hits in the population of the samples from a representative subset of the screening plates. All 4 points that had values lower than the (median samples – 3*SD of the samples) belonged to the same inhibitor that was spotted in different locations within 4 different screening plates. This inhibitor demonstrated robust SNAP-25 protection against BoNT/A, as shown in Figure 5.
Figure 1: Workflow for compound screening in the BoNT/A HCI assay.
Figure 2: The 96-well plate map for the HCI assay. High control wells (pink) were treated with 0.5% DMSO as control only and low control wells (blue) were treated with 1 nM BoNT/A and 0.5% DMSO. Sample wells (green) were treated with 1nM toxin and 10 µM of compounds in 0.5% DMSO. The outer columns and rows (grey) were not used due to incompatibility with the optimized plate format and the inability of the 20X water-Immersion objective to image edge wells.
Figure 3: The design of the automated work station deck for the immunostaining assay. Blocking buffer, primary antibody, secondary antibody and cellular stains were dispensed in 96-well polypropylene plates to reduce dead volume reagent loss. PBS was dispensed in a tray capable of holding 300 ml. The manifold used for liquid waste aspiration is shown on the inset image.
Figure 4: Screen shot of the High Content Imager experimental set up.
Figure 5: High content imaging of SNAP-25 cleavage in mouse ES-derived motor neurons. Cells were treated with 1 nM BoNT/A with and without addition of 1 µM of inhibitor (Toosendanin)14 or left untreated without toxin. SNAP-25 was detected with the BACS antibody. In another channel, neurons were detected using a β-III-tubulin antibody to create mask of neurites for SNAP-25 image analysis. This is a single representative image from one of the 16 images taken from a given well. Blue indicates nuclei stained with Hoechst 33342, red is the BACS signal and green is the β-III-tubulin signal. Images were obtained with the Opera as described. Size bar: 10 µm
Figure 6: Screen shots showing various steps in image analysis pipeline.
Figure 7: Statistical visualization of the data arising from the HCI screen. (A). (i) Box plot analysis of the % Cleavage calculated from control wells; shown as median values with their respective SD (n = 16). Pink represents the high signal control (HSC); blue represents the low signal control (LSC). Z’ = 0.97 (ii) Histogram distribution of the same values as in (i) to demonstrate the distance between two control populations. Median and 3 SD were calculated from the statistical values associated with the corresponding box-plot. (B). Distribution of the 192 compound treated samples from the same experiment. (i) Box-plot demonstrating the statistical values for the % cleavage for samples in comparison to controls as well as statistically significant outliers. (ii) and (iii), Histogram distribution of the same values in population of all data from the screen (green color). Hits (highlighted in red square), were selected from the outliers that have % cleavage values less than 3SD from the median of the sample population (<25.89 % cleavage). The four hits highlighted during selection (iii) on the histogram of all data points have similar values to the high signal control and represented the same compound, spiked into the plate for the tests, a known BoNT/A inhibitor (Toosendanin) that blocked SNAP-25 cleavage.
The high potency of Botulinum neurotoxins and the relative ease of their weaponization has resulted in their classification as Category A (highest priority) biothreat agents by the U.S. Centers for Disease Control and Prevention. Unfortunately, there are no FDA approved therapeutics to counter BoNT intoxication after the toxin has been internalized by the motor neurons. Any druggable mechanism that promotes neuronal recovery from BoNT intoxication could lead toward the development of a potential therapy to protect both the armed services and public against this biological threat. In this article, we present a detailed HCI assay protocol for screening inhibitors of lethal toxins such as BoNT/A. An unusual aspect of this assay is scrupulous handing of toxins and implementation of strict biosafety protocols to ensure laboratory safety. Extreme care must be exercised while active toxin is in use. BoNT/A inactivation via methanol fixation and microplate decontamination with 10%bleach and 5% surface wipes are key steps that allow microplates to be removed from biosafety cabinets for downstream evaluation in biosafety level 2 laboratory environments.
Due to the ever expanding size of compound libraries coupled with slow motor neuron expansion (cell number), HCI assays for neurotoxin antagonists tend to run over several weeks. This requires that the variability between the plates and across time must be eliminated or minimized. In this protocol we provide automation methods for immunostaining, image acquisition and analysis to reduce the assay variability. Further reliability and consistency can be achieved by the automation of routine tasks associated with this protocol including cell plating, washing, and fixation. Our group is currently evaluating the impact of these improvements with the intent of incorporating them into our protocol in the near future.
In this report, we describe a SNAP-25 cleavage assay using high content imaging to measure relative fluorescence of intact SNAP-25 in motor neurons. This assay uses the BACS and β-III tubulin antibodies to detect full-length SNAP-25 and β-III tubulin respectively11. β-III tubulin is used as a marker to specifically identify neurons (Figure 4). While BoNT/A cleaves SNAP-25 and reduces the SNAP-25 signal, small molecules that inhibit any part of this process improve SNAP-25 signal in the imaging assay. As this assay depends on the fluorescence signal generated from the SNAP-25 distributed across many tiny neurites, high quality images are absolutely necessary. Hence, automated microscopes that produce high resolution confocal images are recommended (Figure 4). We routinely capture 6-16 fields/well in a 96-well format while using the 20X water-immersion objective. The number of field’s imaged are dependent upon the overall number of neurites required to generate statistically significant results.
Modular image analysis algorithms were utilized to extract multiparameter data (Figure 6). The Columbus modular image analysis algorithms are relatively easy to generate for simpler analysis scenarios. For more complicated analysis or design of specific parameters for complex readouts, Acapella based scripts can be used within the Opera environment as well as inside the context of Columbus. In addition to the fluorescence intensities obtained from the SNAP-25 and β-III tubulin channels, we routinely collect other parameters such as total cell number (indirect measure for cytotoxicity), neurite length, neurite branching, and other endpoints to quantify neuronal health during the assay. The raw endpoint data are exported to statistical analysis software for further data analysis and hit selection (Figure 7). The data presented here demonstrates the ability of the HCI assay to be efficiently utilized for phenotypic screening in search for BoNT/A inhibitors using a physiologically relevant motor neuron model.
The authors have nothing to disclose.
Funding was provided by the Joint Science and Technology Office – Chemical Biological Defense (JSTO-CBD) Defense Threat Reduction Agency (DTRA) under sponsor project number CCAR# CB3675 and National Institutes of Health (1 R21 AI101387-01 and 5 U01AI082051-05).
Name of Reagent/ Equipment | Company | Catalog Number | Comments/Description |
Botulinum neurotoxin A | Metabiologics | NA | No catalog number |
Microtitre plates | Greiner | 655946 | Poly-D-Lysine 96-well plates |
BACs antibody | Lampire Biological | NA | |
Microchem | National | 0255 | |
Methanol | Thermo Scientific | A412-20 | |
Formaldehyde | Thermo Scientific | 28908 | |
Horse serum | Invitrogen | 16050 | |
PE JANUS MDT Mini Automated Workstation | Perkin Elmer | AJMDT01 | |
Opera | Perkin Elmer | OP-QEHS-01 | |
Triton X 100 | Sigma-Aldrich | 9002-93-1 | |
BIII tubulin antibody | R&D Systems | BAM1195 | |
Tween 20 | Sigma | P1379-1L | |
Hoechst 33342dye | Invitrogen | 3570 | |
Antimouse IgG | Invitrogen | A21236 | |
Anti rabbit IgG | Invitrogen | A10042 | |
Columbus Image analysis software | Perkin Elmer | Ver 2.4 | |
Spotfire | Perkin Elmer | Ver 5.5 | |
Clorox bleach | Fisher Scientific | 18-861-284 | |
PlateStack |