Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.

E-GEOD-77039 - Distinct gene regulatory programs define the inhibitory effects of LXRs and PPARG on cancer cell proliferation

Released on 10 June 2016, last updated on 20 June 2016
Homo sapiens
Samples (82)
Protocols (5)
The liver x receptor (LXR) and peroxisome proliferator-activated receptor gamma (PPARG) nuclear receptor transcription factors (TFs) are master regulators of energy homeostasis that impact tumor cell metabolism and proliferation. To better define the underlying molecular processes governing the genetic control of cellular growth in response to extracellular metabolic signals, we performed a comprehensive, genome-wide characterization of the temporal regulatory cascades mediated by LXR and PPARG signaling in HT29 colorectal cancer cells. For this analysis we applied a multi-tiered approach that incorporated cellular phenotypic assays, gene expression profiles, chromatin state dynamics and nuclear receptor binding patterns. By integrating these orthogonal datasets over time, we uncovered the regulatory architecture of LXR and PPARG activity. Both sets of nuclear receptors inhibited cell proliferation and increased cellular oxidative stress, validating results from independent studies. Despite this metabolic reprogramming, the gene regulatory network programs initiated by these nuclear receptors were widely distinct. PPARG generated a rapid and short-term response while maintaining a gene activator role. By contrast, LXR signaling was prolonged, with initial, predominantly activating functions altering to repressive gene regulatory activities at late time points through RNA polymerase II (RNAP2) promoter pausing. This exhaustive dataset illustrates the complexity of genome function and structure by elucidating how common phenotypic outcomes are genetically encoded through diverse transcriptional programs. Our results further provide a detailed, molecular framework that can be applied to better understanding how extracellular nutrients impact cancer cell physiology and highlight the importance of study designs that incorporate complementary genomic features in a dynamic manner. ChIP-seq and RNA-seq experiments were performed in HT29 cells using vehicle control (DMSO) or after drug treatment (GW3965 and rosiglitazone).
Experiment types
ChIP-seq, RNA-seq of coding RNA 
Exp. designProtocolsVariablesProcessedSeq. reads
Investigation descriptionE-GEOD-77039.idf.txt
Sample and data relationshipE-GEOD-77039.sdrf.txt
Processed data (1)
Additional data (1)