Cell based High Throughput Screening Assays of Bacteria.
Learning Objectives:
- Identify key steps in a cell-based HT screening approach
- Discuss the importance of controls when screening inhibitory molecules
- Evaluate the necessity of primary and secondary screens in cell-based HT assays
Bacteria are prokaryotic organisms that affect humans, plants, and animals [1]. These organisms might be of interest because they might cause a disruption in physiological activities of the organisms, or they might simply be beneficial for the organism in certain occasions [2].
For this matter, screening chemical libraries and monitoring bacterial growth responses to find potential growth inhibitors is of interest in many pharmaceutical and biotechnological companies [3]. This effort requires large scale experiments, to identify small molecules that might disrupt either bacterial growth or communication in their communities, a process known as quorum sensing [4].
When designing experiments for small molecule screening, appropriate controls are required. If screening is performed for the inhibitory effect, then positive controls would consist of a molecule that is lethal to the bacterium of interest. For instance, a bacterium such as E. coli that is resistant to ampicillin and kanamycin, if challenged with an antibiotic that the bacterium is sensitive, then we would not anticipate an increase in the population growth. On the other hand, a negative control would not interfere with the bacterial population and population growth would be expected [5].
Another important aspect of cell-based HT assays is the response of the organism of interest through the primary screen. Primary screens are usually testing 1000 to 10000 chemical compounds and they are performed in duplicates or triplicates with an objective to obtain IC50 or EC50 values, and then a dose-response curve can be constructed [5]. The dose-response curve may inform us about the efficacy of a library compound or an unknown small molecule. IC50 (or EC50) is defined as the half maximal inhibitory (or effective) concentration of a substance (e.g.,
small molecule or drug) which causes a 50% reduction in a biological process [6].
Secondary screens in cell based high-throughput screening (HTS), are utilized to characterize the mode of action of the narrowed-down pool of small molecules that were derived from the primary screen. Thus, downstream experiments might be performed such as radiolabeling to track down the small molecule of interest, transcriptomic profiling or metabolomic analysis to infer the gene expression levels or determine the secondary metabolites respectively [5].
Finally, cell-based HT assays may inform us about the response of the whole organism and at the same time, may enable us narrow down our approach in subsequent experiments to dissect the witnessed response [5]. It should be highlighted that the physiological stage in a cell-based assay is of crucial importance, because the biological samples should be comparable.
Figure 1. Workflow of a cell-based HT screening approach in bacteria. A to C. Illustrates a colony of E. amylovora strain 273 in an agar plate. 106c.f.u per mL were transferred in a 96-well microtiter plate and the primary screening was performed in the epMOTION 5075. A dose response curve was constructed and the 4 lowest EC50 values were considered for downstream experiments. D. The secondary screening of the 4 lowest EC50 of the 4 unknown chemical compounds was performed in a transcriptional profiling experiment. Specifically, D shows a hierarchical clustering of the expression of untreated controls against treated with the 4 unknown compounds. The genes are shown in rows whilst the samples in triplicate in columns. The clustering of the samples and the genes can be seen in the upper and vertical axis respectively. The colors -red, white, and blue in the heatmap represent the relative expression levels as high, medium, and low respectively. The heatmap was generated by the CLC Genomic Workbench software 22.0. Figure was created in PowerPoint.
Questions and Answers:
1. What is a cell-based HT screening approach?
A cell-based HT screening approach is considered the assay that is performed at a large scale of compound testing (1000-10000) against a cell or a population of cells.
2. What controls are required when testing inhibitory chemical molecules? Why do we need a positive control? Which control do we utilize to perform the comparisons with potential molecules that we screened out?
When testing for inhibitory chemical molecules, a negative and a positive control are required. A positive control in this type of assay ensures that the population will not grow. A negative control provides the plateau of the population growth under the specified experimental conditions. Comparisons will be performed with the negative control to specify the effectiveness of the unknown small molecules.
3. Define EC50. Consider that we found the following EC50 values 1 ppm, 10 ppm and 25 ppm for the inhibitory molecules A, B and C that were tested in triplicate for the fungus Colletotrichum acutatum . Which of the above molecules is considered the most effective?
EC50 is defined as the half maximal effective concentration of a substance which causes a 50 % reduction in a biological process. The inhibitory molecule A is the most effective because it can achieve a 50% reduction of the fungal growth at a much lower concentration.
4. Why are secondary screens important? Provide two examples.
Secondary screens are useful because they narrow down our experiments and enable us to characterize the mode of action small molecule. For instance, the effect of a small molecule on a gene cluster may be found as well as the cellular compartment where the molecule is revealing its activity.
References
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- Silver LL. Challenges of antibacterial discovery. Clin Microbiol Rev. 2011;24(1):71-109. doi:10.1128/CMR.00030-10
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- Clemons, P. A., Tolliday, N. J., & Wagner, B. K. (2009). Cell-based assays for high-throughput screening: Methods and protocols. Springer.
- Aykul S, Martinez-Hackert E. Determination of half-maximal inhibitory concentration using biosensor-based protein interaction analysis. Anal Biochem. 2016;508:97-103. doi:10.1016/j.ab.2016.06.025