Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines.

Phenomic profiles are high-dimensional sets of readouts that can comprehensively capture the biological impact of chemical and genetic perturbations in cellular assay systems. Phenomic profiling of compound libraries can be used for compound target identification or mechanism of action (MoA) prediction and other applications in drug discovery. To devise an economical set of phenomic profiling assays, we assembled a library of 1,008 approved drugs and well-characterized tool compounds manually annotated to 218 unique MoAs, and we profiled each compound at four concentrations in live-cell, high-content imaging screens against a panel of 15 reporter cell lines, which expressed a diverse set of fluorescent organelle and pathway markers in three distinct cell lineages. For 41 of 83 testable MoAs, phenomic profiles accurately ranked the reference compounds (AUC-ROC ≥ 0.9). MoAs could be better resolved by screening compounds at multiple concentrations than by including replicates at a single concentration. Screening additional cell lineages and fluorescent markers increased the number of distinguishable MoAs but this effect quickly plateaued. There remains a substantial number of MoAs that were hard to distinguish from others under the current study's conditions. We discuss ways to close this gap, which will inform the design of future phenomic profiling efforts.

Endogenous gene tagging with fluorescent proteins.

Human genome manipulation has become a powerful tool for understanding the mechanisms of numerous diseases including cancer. Inserting reporter sequences in the desired locations in the genome of a cell can allow monitoring of endogenous activities of disease related genes. Native gene expression and regulation is preserved in these knock-in cells in contrast to cell lines with target overexpression under an exogenous promoter as in the case of transient transfection or stable cell lines with random integration. The fusion proteins created using the modern genome editing tools are expressed at their physiological level and thus are more likely to retain the characteristic expression profile of the endogenous proteins in the cell. Unlike biochemical assays or immunostaining, using a tagged protein under endogenous regulation avoids fixation artifacts and allows detection of the target's activity in live cells. Multiple gene targets could be tagged in a single cell line allowing for the creation of effective cell-based assays for compound screening to discover novel drugs.

Tagging of genomic STAT3 and STAT1 with fluorescent proteins and insertion of a luciferase reporter in the cyclin D1 gene provides a modified A549 cell line to screen for selective STAT3 inhibitors.

Signal transducer and activator of transcription 3 (STAT3) is an oncogenic protein that is constitutively activated in numerous cancer cell lines and human cancers. Another STAT family member, STAT1, possesses cancer-inhibitory properties and can promote apoptosis in tumor cells upon activation. To better characterize these important cancer related genes, we tagged STAT3 and STAT1 loci with fluorescent protein (FP) sequences (RFP and GFP respectively) by targeted integration via zinc finger nuclease (ZFN)--mediated homologous recombination in A549 cells that express aberrantly activated STAT3. We inserted the FP transgenes at the N-terminus of the STAT3 locus and at the C-terminus of the STAT1 locus. The integration resulted in endogenous expression of fluorescent STAT3 and STAT1 chimeric fusion proteins. When stimulated with IL-6 or IFN-γ, the cells showed robust nuclear translocation of RFP-STAT3 or STAT1-GFP, respectively. Pre-incubation of cells with a known specific STAT3 inhibitor showed that IFN-γ-induced translocation of STAT1-GFP was not impaired. STAT3 activates multiple downstream targets such as genes involved in cell cycle progression - e.g. cyclin D1. To detect changes in expression of endogenous cyclin D1, we used ZFN technology to insert a secreted luciferase reporter behind the cyclin D1 promoter and separated the luciferase and cyclin D1 coding regions by a 2A sequence to induce a translational skip. The luciferase insertion was made in the RFP-STAT3/STAT1-GFP cell line to have all three reporters in a single cell line. Addition of a STAT3 inhibitor led to suppression of cyclin D1 promoter activity and cell growth arrest. The triple-modified cell line provides a simple and convenient method for high-content screening and pre-clinical testing of potential STAT3 inhibitors in live cells while ensuring that the STAT1 pathway is not affected. This approach of reporting endogenous gene activities using ZFN technology could be applied to other cancer targets.

Domain-based biosensor assay to screen for epidermal growth factor receptor modulators in live cells.

Traditional drug discovery efforts have resulted in the approval of a handful of receptor tyrosine kinase (RTK) inhibitors; however, their discovery relied solely on screening recombinant kinases, often with poor cellular activity outcome. The ability to screen RTKs in their natural environment is sought as an alternative approach. We have adapted a novel strategy utilizing a green fluorescent protein-labeled SRC homology 2 domain-based biosensor as a surrogate reporter of endogenous epidermal growth factor receptor (EGFR) activity in A549 cells. Upon activation of the receptor, EGFR function in live cells is measured by the number of green granules that form. Here we describe assay miniaturization and demonstrate specificity for EGFR through its chemical inhibition and RNAi-dependent knockdown resulting in complete abrogation of granule formation. Gefitinib and PD 153035 were identified as hits in a pilot screen. This approach allows for the identification of novel EGFR modulators in high-throughput formats for screening chemical and RNAi libraries.