Evaluation of the sensitivity of two triple-negative breast cancer cell lines (HCC1806, HCC70) to a collection of dual mTOR and PI3K-like kinase (PIKK) inhibitors. Dataset 2 of 2: GR metrics. - Dataset (ID:20367)
|HMS Dataset ID:||20367|
|Dataset Title:||Evaluation of the sensitivity of two triple-negative breast cancer cell lines (HCC1806, HCC70) to a collection of dual mTOR and PI3K-like kinase (PIKK) inhibitors. Dataset 2 of 2: GR metrics.|
|Screening Lab Investigator:||Sameer Chopra|
|Screening Principal Investigator:||Peter K. Sorger|
|Assay Description:||We measured the sensitivities of two triple-negative breast cancer cell lines to nine uncharacterized dual mTOR-PIKK inhibitors, Torin1, Torin2, and the conventional mTOR kinase inhibitor AZD8055 (N=12 drugs). Cells were treated with each drug using a 9-point ½ log dilution series. Live cell counts were measured at the start and end of the 72 hour treatment period using fixed cell microscopy. Drug potency and efficacy were calculated using GR metrics.|
1. HCC1806 and HCC70 cells were cultured in RPMI-1640 media (ATCC 30-2001) supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin.|
2. Cells were seeded in Cell Carrier 384 well plates (Perkin Elmer 6007558) at a density of 2000 cells per well using the Multidrop Combi (Thermo Scientific). Plated cells were grown at 37°C in the presence of 5% CO2 for approximately 18-24 hours at 37°C prior to drug treatment.
3. Drugs were dispensed from 5 millimolar stock solutions in DMSO using the D300 digital dispenser (Hewlett Packard). Drugs were administered at 9 different concentrations in at least technical triplicate for each of three independent experiments. DMSO alone was used as a control.
4. Cells were stained and fixed at the time of drug administration (untreated time = 0 plate) and after 72 hours of incubation with active drug or DMSO using 15 μL of staining solution [1:5000 LIVE/DEAD Far Red Dead Cell Stain (Invitrogen L10120), 1:10000 Hoechst 33342 trihydrochloride trihydrate 10mg/mL solution in water (Invitrogen H3570), 1:10 OptiPrep (Sigma-Aldrich D1556) in PBS] for 30 minutes inside of an incubator at 37°C in the presence of 5% CO2, followed by 20 μL fixing solution [1:20 37% formaldehyde (Sigma-Aldrich F1635) and 1:5 OptiPrep in PBS) for 30 minutes at room temperature. Following fixation, all reagents were aspirated and replaced with 60 μL of PBS using an EL406 Washer Dispenser (BioTek, Winooski, VT).
5. The plates were imaged using the Operetta High-Content Imaging System (Perkin Elmer). Six fields of view covering the full well were acquired using the 10x high NA objective lens. The excitation and emission filters used for image acquisition were 360-400 nm and 410-480 nm for Hoechst, and 620-640 nm and 650-700 nm for LDR.
6. Live cell counts were obtained by using Columbus software (Perkin Elmer) to analyze the images of each well. Nuclear segmentation was performed using the Hoechst signal intensity. For HCC1806 cells: Module: 'Find Nuclei'; method: M; diameter 28 μm; splitting coefficient: 0.45; common threshold: 0.05. For HCC70 cells: Module: 'Find Nuclei'; method: M; diameter 29 μm; splitting coefficient: 0.45; common threshold: 0.05.
7. Additional features were then extracted from images to exclude mis-segmented nuclei and non-viable cells from total cell counts. Mis-segmented nuclei were of atypical size and shape compared to appropriately segmented nuclei. Non-viable cells were characterized by positive LDR staining and/or small pyknotic nuclei with extremely bright Hoechst signal. Collectively, the image analysis features in Columbus that best identified these characteristics included nuclear area and roundness (module: 'Calculate Morphology Properties'); nuclear Hoechst intensity (module: 'Calculate Intensity Properties'); nuclear LDR intensity (module: 'Calculate Intensity Properties'); Hoechst texture features (module: 'Calculate Texture Properties'; SER Features, spot; scale: 4 px; normalization by: unnormalized); and LDR texture features (module: 'Calculate Texture Properties'; SER Features; scale: 6 px; normalization by: kernel). These extracted features were then used to set filters (i.e. gates) in the module 'Select Population.' Filter settings or gates were tuned interactively for each independent experimental replicate by visually comparing images of cells in DMSO only-treated wells against images of cells in active drug-treated wells and by using histograms in Columbus to visualize gates applied to the distribution of measured/calculated values for each feature, in order to exclude extreme outliers. Identical filters were then applied to all imaged wells on the plate.
8. Viable cell counts at time = 0 and time = 72 hours for the dose range of 0.001 to 10 μM were used to calculate GR values and GR metrics with the online GR calculator (grcalculator.org/grcalculator/), which is based on the methods reported in Hafner et al. (2016) (PMID: 27135972).
|Assay Protocol Reference:||Hafner M, Niepel M, Subramanian K, and Sorger PK. Designing drug response experiments and quantifying their results. Curr Protoc Chem Biol 2017 Jun 19;9(2):96-116. doi: 10.1002/cpch.19 PubMed PMID: 28628201.|
|HMS Dataset Type:||Analysis|
|Date Publicly Available:||2019-11-12|
|Most Recent Update:||2019-11-12|