Microarrays were scanned

at 532 nm (Cy3) and 635 nm (Cy5) on a GenePix 4000B scanner (Molecular Devices, Union City, CA). Images were analyzed for feature and background intensities using GenePix Pro 6.0 software (Molecular Devices). All data passed a quality assurance protocol (Burgoon et al., 2005) and deposited in TIMS dbZach data management system (Burgoon and Zacharewski, 2007). Microarray data were normalized using a semi-parametric approach (Eckel et al., 2005) and the posterior probability P1(t) values were calculated using an empirical Bayes method based on a per gene and dose basis using model-based t values ( Eckel et al., 2004). Gene expression data were ranked and prioritized using |fold change| > 1.5 and statistical P1(t) value > 0.999 criteria to identify differentially expressed genes. Dose–response Compound Library cell line modeling was performed using the ToxResponse Modeler, which identifies the best-fit between five different mathematical models (linear, exponential, Gaussian, sigmoidal, and quadratic) (Burgoon and Zacharewski, 2008). The algorithm then identifies the best-fit from the five best in-class Venetoclax research buy models for subsequent half maximal effective concentration (EC50) calculations. Microarray data sets were first sorted using more stringent criteria (|fold change| > 2 and P1(t) > 0.999 cut-off in the 520 mg/L SDD group), and then

examined for genes exhibiting a sigmoidal dose–response. EC50 values were only determined for genes exhibiting a sigmoidal dose–response curve. Total RNA was reverse transcribed to cDNA and PCR amplified on an Applied Biosystems PRISM 7500 Sequence Detection. Supplementary Table S1 provides the names, gene symbols, accession numbers, primer sequences, and amplicon sizes. cDNAs were quantified using a standard curve approach and the copy number of each sample was standardized to 3 housekeeping genes to control for differences in RNA loading, quality, and cDNA synthesis (Vandesompele et al.,

2002). For graphing purposes (GraphPad Prism 5.0), the relative expression levels were scaled such that the expression level of the time-matched control group was equal to one. Annotation and functional categorizations of differentially regulated genes were performed using Database for Annotation, Visualization and Integrated Discovery (DAVID) (Dennis et al., CHIR-99021 concentration 2003) and Ingenuity Pathway Analysis (IPA, Ingenuity Systems, Redwood City, CA). For cross-species comparisons, HomoloGeneID was used to identify differentially expressed orthologous genes. Hierarchical clustering (average linkage method; Pearson correlation) was performed using MultiExperiment Viewer (MeV v. 4.6.0) implemented in the TM4 microarray software suite (Saeed et al., 2003). QRT-PCR statistical analyses were performed with SAS 9.2 (SAS Institute, Cary, NC). Unless stated otherwise, all data were analyzed by analysis of variance (ANOVA) followed by Dunnett’s post hoc test.