ASSAY and Drug Development Technologies

Uptake of nutrients, such as glucose and amino acids, is critical to support cell growth and is typically mediated by cell surface transporters. An alternative mechanism for the bulk uptake of nutrients from the extracellular space is macropinocytosis, a nonclathrin, and nonreceptor-mediated endocytic process, in which extracellular fluid is taken up into large intracellular vesicles called macropinosomes. Oncogenic transformation leads to the increased metabolic activity of tumor cells, and in the Ras-driven tumor part of this enhanced activity is the stimulation of macropinocytosis. To measure oncogene-dependent macropinocytosis, we used HeLa cells expressing oncogenic HRAS^G12D driven from a Tet-regulated promoter. Upon oncogenic HRAS expression, the cells undergo metabolic changes that include the elevation of macropinocytosis. We detected macropinocytosis through the uptake of lysine-fixable tetramethyl rhodamine (TMR)-Dextran (70 kDa) from the cell media into nascent intracellular macropinosomes. These macropinosomes were quantified by image-based high-content analysis, with the size, intensity, and position of macropinosomes measured. Using this model system, we ran a full genome-wide siRNA screen (siGenome™; GE) to identify genes involved in controlling oncogenic HRAS-dependent macropinocytosis. Hits from the primary screen were confirmed with siRNA reagents from a different library (GE, OTP), which allowed us to mitigate potential off-target effects. Candidate genes from this screen include known regulators of macropinocytosis as well as novel targets.

Signal transducer and activator of transcription factor 3 (STAT3) is hyperactivated in head and neck squamous cell carcinomas (HNSCC). Cumulative evidence indicates that IL-6 production by HNSCC cells and/or stromal cells in the tumor microenvironment activates STAT3 and contributes to tumor progression and drug resistance. A library of 94,491 compounds from the Molecular Library Screening Center Network (MLSCN) was screened for the ability to inhibit interleukin-6 (IL-6)-induced pSTAT3 activation. For contractual reasons, the primary high-content screening (HCS) campaign was conducted over several months in 3 distinct phases; 1,068 (1.1%) primary HCS actives remained after cytotoxic or fluorescent outliers were eliminated. One thousand one hundred eighty-seven compounds were cherry-picked for confirmation; actives identified in the primary HCS and compounds selected by a structural similarity search of the remaining MLSCN library using hits identified in phases I and II of the screen. Actives were confirmed in pSTAT3 IC₅₀ assays, and an IFNγ-induced pSTAT1 activation assay was used to prioritize selective inhibitors of STAT3 activation that would not inhibit STAT1 tumor suppressor functions. Two hundred three concentration-dependent inhibitors of IL-6-induced pSTAT3 activation were identified and 89 of these also produced IC₅₀s against IFN-γ-induced pSTAT1 activation. Forty-nine compounds met our hit criteria: they reproducibly inhibited IL-6-induced pSTAT3 activation by ≥70% at 20 μM; their pSTAT3 activation IC₅₀s were ≤25 μM; they were ≥2-fold selective for pSTAT3 inhibition over pSTAT1 inhibition; a cross target query of PubChem indicated that they were not biologically promiscuous; and they were ≥90% pure. Twenty-six chemically tractable hits that passed filters for nuisance compounds and had acceptable drug-like and ADME-Tox properties by computational evaluation were purchased for characterization. The hit structures were distributed among 5 clusters and 8 singletons. Twenty-four compounds inhibited IL-6-induced pSTAT3 activation with IC₅₀s ≤20 μM and 13 were ≥3-fold selective versus inhibition of pSTAT1 activation. Eighteen hits inhibited the growth of HNSCC cell lines with average IC₅₀s ≤ 20 μM. Four chemical series were progressed into lead optimization: the guanidinoquinazolines, the triazolothiadiazines, the amino alcohols, and an oxazole–piperazine singleton.

Astrocyte phenotypes change in a process called reactive gliosis after traumatic central nervous system (CNS) injury. Astrogliosis is characterized by expansion of the glial fibrillary acidic protein (GFAP) cytoskeleton, adoption of stellate morphologies, and differential expression of some extracellular matrix molecules. The astrocytic response immediately after injury is beneficial, but in the chronic injury phase, reactive astrocytes produce inhibitory factors (i.e., chondroitin sulfate proteoglycans [CSPGs]) that limit the regrowth of injured axons. There are no drugs that promote axon regeneration or functional recovery after CNS trauma in humans. To develop novel therapeutics for the injured CNS, we screened various libraries in a phenotypic assay to identify compounds that promote neurite outgrowth. However, the effects these compounds have on astrocytes are unknown. Specifically, we were interested in whether compounds could alter astrocytes in a manner that mimics the glial reaction to injury. To test this hypothesis, we developed cell-based phenotypic bioassays to measure changes in (1) GFAP morphology/localization and (2) CSPG expression/immunoreactivity from primary astrocyte cultures. These assays were optimized for six-point dose–response experiments in 96-well plates. The GFAP morphology assay is suitable for counter-screening with a Z-factor of 0.44±0.03 (mean±standard error of the mean; N=3 biological replicates). The CSPG assay is reproducible and informative, but does not satisfy common metrics for a “screenable” assay. As proof of principle, we tested a small set of hit compounds from our neurite outgrowth bioassay and identified one that can enhance axon growth without exacerbating the deleterious characteristics of reactive gliosis.

Leishmania species are sandfly-transmitted protozoan parasites that cause a spectrum of diseases, ranging from localized skin lesions to fatal visceral disease, in more than 12 million people worldwide. These parasites primarily target macrophages in their mammalian hosts and proliferate as non-motile amastigotes in the phagolysosomal compartment of these cells. High-throughput screens for measuring Leishmania growth within this intracellular niche are needed to identify host and parasite factors that are required for virulence and to identify new drug candidates. Here we describe the development of a new high-content imaging method for quantifying the intracellular growth of Leishmania mexicana parasites in THP-1 macrophages. Wild-type parasites were pre-stained with the fluorescent dye CellTracker^™ Orange CMRA and used to infect THP-1 macrophages in 384-well plates. Infected and uninfected macrophages were subsequently stained with CellTracker Green CMFDA, allowing accurate quantitation of the number of parasites per macrophage using separate detector channels. We validated this method for use in high-content drug screening by examining the dose dependence of known anti-leishmanial drugs on intracellular growth. Unlike previous protocols, this method does not require the generation of transgenic fluorescent or bioluminescent parasite lines and can be readily adapted for screening different Leishmania species, strains, or mutant lines in a wide range of phagocytic host cell types.

There is an increasing interest in using three-dimensional (3D) spheroids for modeling cancer and tissue biology to accelerate translation research. Development of higher throughput assays to quantify phenotypic changes in spheroids is an active area of investigation. The goal of this study was to develop higher throughput high-content imaging and analysis methods to characterize phenotypic changes in human cancer spheroids in response to compound treatment. We optimized spheroid cell culture protocols using low adhesion U-bottom 96- and 384-well plates for three common cancer cell lines and improved the workflow with a one-step staining procedure that reduces assay time and minimizes variability. We streamlined imaging acquisition by using a maximum projection algorithm that combines cellular information from multiple slices through a 3D object into a single image, enabling efficient comparison of different spheroid phenotypes. A custom image analysis method was implemented to provide multiparametric characterization of single-cell and spheroid phenotypes. We report a number of readouts, including quantification of marker-specific cell numbers, measurement of cell viability and apoptosis, and characterization of spheroid size and shape. Assay performance was assessed using established anticancer cytostatic and cytotoxic drugs. We demonstrated concentration–response effects for different readouts and measured IC₅₀ values, comparing 3D spheroid results to two-dimensional cell cultures. Finally, a library of 119 approved anticancer drugs was screened across a wide range of concentrations using HCT116 colon cancer spheroids. The proposed methods can increase performance and throughput of high-content assays for compound screening and evaluation of anticancer drugs with 3D cell models.

High-content screening (HCS) is a powerful technique for monitoring phenotypic responses to treatments on a cellular and subcellular level. Cellular phenotypes can be characterized by multivariate image readouts such as shape, intensity, or texture. The corresponding feature vectors can thus be defined as HCS fingerprints that serve as a powerful biological compound descriptor. Therefore, clustering or classification of HCS fingerprints across compound treatments allows for the identification of similarities in protein targets or pathways. We developed an HCS-based profiling panel that serves as basis for characterizing the mode of action of compounds. This panel measures phenotypic effects in six different compartments of U-2OS cells, namely the nucleus, the cytoplasm, the endoplasmic reticulum, the Golgi apparatus, and the cytoskeleton. We profiled a set of 2,725 well-annotated compounds and clustered their corresponding HCS fingerprints to establish links between predominant cellular phenotypes and cellular processes and protein targets. We found various different clusters enriched for individual targets (e.g., HDAC, HSP90, TOP1, HMGCR, TUB), signaling pathways (e.g., PIK3/AKT/mTOR), or gene sets associated with diseases (e.g., psoriasis, leukemia). Based on this clustering we were able to identify novel compound-target associations for selected compounds such as a submicromolar inhibitory activity of Silmitasertib (a casein kinase inhibitor) on PI3K and mTOR.