Role of coactivator SRC-1/NcoA-1 for IL-6 target gene induction in HepG2 cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE4885 | GEO | 2006/12/31
SECONDARY ACCESSION(S): PRJNA95779
REPOSITORIES: GEO
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Project description:This experiment series addresses the role of coactivator SRC-1/NcoA-1 for the induction of interleukin-6 (IL-6) target genes in HepG2 cells. For that purpose, HepG2 human hepatocellular carcinoma cells were manipulated to stably express an shRNA that knocks down SRC-1 expression yielding the HepG2-âSrc1 cells. Either unmanipulated HepG2 or HepG2-âSrc1 cells were then treated for various periods with IL-6. Experiment Overall Design: HepG2 or HepG2-âSrc1 (with silenced SRC-1/NcoA-1 expression) cells were either left untreated or treated with 10 ng/ml IL-6 for 1 or 4 hours. Every experiment was carried out in replicate.
2008-06-13 | E-GEOD-4885 | biostudies-arrayexpress
Project description:The rapidly growing family of coregulators of nuclear receptors includes coactivators that promote transcription and corepressors that harbor the opposing function. In recent years, coregulators have begun to emerge as important regulators of metabolic homeostasis, including the p160 Steroid Receptor Coactivator (SRC) family. Members of the SRC family have been ascribed important roles in control of gluconeogenesis in liver and fatty acid oxidation in skeletal muscle. To provide a deeper and more granular understanding of the metabolic impact of SRC family members, we have performed targeted metabolomics analysis of key metabolic byproducts of glucose, fatty acid, and amino acid metabolism in mice with global knockout of SRC-1, SRC-2, or SRC-3. We measured amino acids, acyl carnitines, and organic acids in five tissues with key metabolic functions (liver, heart, skeletal muscle, brain, plasma) isolated from SRC-1, -2, or -3 knockout mice and their wild-type littermates in the fed and fasted conditions, thereby unveiling unique metabolic functions of each SRC coactivator. Overall, we observed entire groups or subgroups of metabolites belonging to discrete metabolic pathways that were influenced in different tissues and/or feeding states due to ablation of individual SRC isoforms. Surprisingly, we identified very few metabolites that changed universally across the three SRC knockout models. These findings demonstrate that coactivator function has very limited redundancy even within the homologous SRC coactivator family. Furthermore, this work also demonstrates the use of metabolomics as a means for identifying novel metabolic regulatory functions of transcriptional coregulators.
2013-04-10 | MTBLS30 | MetaboLights
Project description:We profile the binding of Steroid Receptor Co-activator (SRC1) in LY2 cells, a tamoxifen-resistant cell line, in the presence and absence of tamoxifen using ChIP-sequencing technology. The development of breast cancer resistance to endocrine therapy results from an increase in cellular plasticity leading to the development of a steroid-independent tumour. The p160 steroid coactivataor protein SRC-1, through interactions with developmental proteins and other non-steroidal transcription factors, drives this tumour adaptability. Here, using discovery studies, we identify ADAM22, a non-protease member of the ADAMs family, as a direct, ER-independent target of SRC-1. Molecular, cellular and in vivo studies confirmed SRC-1 as a regulator of ADAM22. At a functional level, a role for ADAM22 in cellular migration and differentiation was observed. In vivo data from a mouse xenograft model indicated that ADAM22 expression was higher in 4-OHT-treated endocrine-resistant tumours than in tumours derived from isogenic, sensitive cells. Furthermore, in breast cancer patients, ADAM22 expression is an independent predictor of poor disease free survival. SRC-1 can function as a molecular switch which converts a steroid-responsive tumour to a steroid-resistant tumour. The ER-independent SRC-1 target ADAM22 is a potential drug target and a companion predictive biomarker in the treatment of endocrine-resistant breast cancer. Examination of SRC-1 binding in LY2 cells in the presence or absence of tamoxifen treatment. 2 replicates each.
2011-11-01 | E-GEOD-28987 | biostudies-arrayexpress
Project description:A major component of the cardiac stress response is the simultaneous activation of several gene regulatory networks. Interestingly, the transcriptional regulator steroid receptor coactivator-2, SRC-2 is often decreased during cardiac failure in humans. We postulated that SRC-2 suppression plays a mechanistic role in the stress response and that SRC-2 activity is an important regulator of the adult heart gene expression profile. Genome-wide microarray analysis, confirmed with targeted gene expression analyses revealed that genetic ablation of SRC-2 activates the “fetal gene program” in adult mice as manifested by shifts in expression of a) metabolic and b) sarcomeric genes, as well as associated modulating transcription factors. While these gene expression changes were not accompanied by changes in left ventricular weight or cardiac function, imposition of transverse aortic constriction (TAC) predisposed SRC-2 knockout (KO) mice to stress-induced cardiac dysfunction. In addition, SRC-2 KO mice lacked the normal ventricular hypertrophic response as indicated through heart weight, left ventricular wall thickness, and blunted molecular signaling known to activate hypertrophy. Our results indicate that SRC-2 is involved in maintenance of the steady-state adult heart transcriptional profile, with its ablation inducing transcriptional changes that mimic a stressed heart. These results further suggest that SRC-2 deletion interferes with the timing and integration needed to respond efficiently to stress through disruption of metabolic and sarcomeric gene expression and hypertrophic signaling, the three key stress responsive pathways.
2012-10-13 | GSE41558 | GEO
Project description:T helper 17 (Th17) cell development is programmed by the orphan nuclear receptor RORgt, but the underlying mechanism is not well understood. Nuclear receptor-mediated transcriptional activation depends on coactivators. Here we show that the steroid receptor coactivator-3 (SRC-3) critically regulates Th17 cell differentiation. Reduced incidence of experimental autoimmune encephalitis (EAE) associated with decreased Th17 cell generation in vivo was observed in mice with SRC-3 deletion specifically in T cells. In vitro, SRC-3 deficiency did not affect TGF-/IL-6-induced Th17 cell generation but severely impaired pathogenic Th17 differentiation induced by IL-1/IL-6/IL-23. Microarrays were used to showed that SRC-3 not only regulates IL-17A but also IL-1R1 expression. SRC-3 bound to Il17a and Il1r1 loci in a RORtdependent manner and was required for recruitment of the p300 acetyltransferase. Thus, SRC-3 is critical in RORt-dependent gene expression during Th17 cell-driven autoimmune diseases.
2018-05-02 | GSE113927 | GEO
Project description:Despite significant progress, our understanding of how specific oncogenes transform cells is still limited and likely underestimates the complexity of downstream signalling events. Herein, we describe a novel, integrated approach that addresses this knowledge gap. This utilizes mass spectrometry-based chemical proteomics to characterize the global impact of an oncogene on the expressed kinome, and then functionally annotates the regulated kinases. As an example, we identified approximately seventy protein kinases exhibiting altered expression and/or phosphorylation in Src-transformed mammary epithelial cells. An integrated siRNA screen identified nine kinases, including SGK1, as being essential for Src-induced transformation. In triple negative breast cancer cells, which exhibit a prominent signalling network governed by src family kinases, Src positively regulated SGK1 expression and combined inhibition of Src and SGK1 was more effective at inhibiting colony formation in vitro, and xenograft growth in vivo, than either treatment alone. Therefore, this approach not only provides major mechanistic insights into oncogenic transformation but also aids the design of improved therapeutic strategies.
2019-01-14 | PXD010687 | Pride
Project description:We profile the binding of Steroid Receptor Co-activator (SRC1) in LY2 cells, a tamoxifen-resistant cell line, in the presence and absence of tamoxifen using ChIP-sequencing technology. The development of breast cancer resistance to endocrine therapy results from an increase in cellular plasticity leading to the development of a steroid-independent tumour. The p160 steroid coactivataor protein SRC-1, through interactions with developmental proteins and other non-steroidal transcription factors, drives this tumour adaptability. Here, using discovery studies, we identify ADAM22, a non-protease member of the ADAMs family, as a direct, ER-independent target of SRC-1. Molecular, cellular and in vivo studies confirmed SRC-1 as a regulator of ADAM22. At a functional level, a role for ADAM22 in cellular migration and differentiation was observed. In vivo data from a mouse xenograft model indicated that ADAM22 expression was higher in 4-OHT-treated endocrine-resistant tumours than in tumours derived from isogenic, sensitive cells. Furthermore, in breast cancer patients, ADAM22 expression is an independent predictor of poor disease free survival. SRC-1 can function as a molecular switch which converts a steroid-responsive tumour to a steroid-resistant tumour. The ER-independent SRC-1 target ADAM22 is a potential drug target and a companion predictive biomarker in the treatment of endocrine-resistant breast cancer.
2011-11-01 | GSE28987 | GEO
Project description:A major component of the cardiac stress response is the simultaneous activation of several gene regulatory networks. Interestingly, the transcriptional regulator steroid receptor coactivator-2, SRC-2 is often decreased during cardiac failure in humans. We postulated that SRC-2 suppression plays a mechanistic role in the stress response and that SRC-2 activity is an important regulator of the adult heart gene expression profile. Genome-wide microarray analysis, confirmed with targeted gene expression analyses revealed that genetic ablation of SRC-2 activates the M-bM-^@M-^\fetal gene programM-bM-^@M-^] in adult mice as manifested by shifts in expression of a) metabolic and b) sarcomeric genes, as well as associated modulating transcription factors. While these gene expression changes were not accompanied by changes in left ventricular weight or cardiac function, imposition of transverse aortic constriction (TAC) predisposed SRC-2 knockout (KO) mice to stress-induced cardiac dysfunction. In addition, SRC-2 KO mice lacked the normal ventricular hypertrophic response as indicated through heart weight, left ventricular wall thickness, and blunted molecular signaling known to activate hypertrophy. Our results indicate that SRC-2 is involved in maintenance of the steady-state adult heart transcriptional profile, with its ablation inducing transcriptional changes that mimic a stressed heart. These results further suggest that SRC-2 deletion interferes with the timing and integration needed to respond efficiently to stress through disruption of metabolic and sarcomeric gene expression and hypertrophic signaling, the three key stress responsive pathways. For microarray analysis, 250ng of RNA isolated from total heart (RNeasy kit, Qiagen) for each sample was labeled using the new standard Affymetrix linear amplification protocol using the 3' IVT Express Kit. This was reverse-transcribed and cRNA was produced and biotinylated via in vitro transcription. A hybridization cocktail containing Affymetrix spike-in controls and 15 M-NM-<g fragmented, labeled cRNA was loaded onto a GeneChipM-BM-. Mouse 430 2.0 array. The array was hybridized for 16 hours at 45M-BM-0C with rotation at 60 rpm then washed and stained with a strepavidin, R-phycoerythrin conjugate stain using the FS 450_0001 Fluidics protocol setting. Signal amplification was done using biotinylated antistreptavidin. The stained array was scanned on the Affymetrix GeneChipM-BM-. Scanner 3000. The images were analyzed and quality control metrics recorded using Affymetrix Command Console v3. Experiments were run using Affymetrix MG 430 2.0 chip with 45,101 probesets representing 20,757 unique genes. There were 8 experiments in 2 groups: WT-unstressed M-bM-^@M-^S 4 experiments, and KO-unstressed M-bM-^@M-^S 4 experiments. QC parameters for all experiments were within the acceptable limits. We used the following software packages for data QC, statistical analysis and presentation of the results: Affymetrix Expression Console (www.affymetrix.com), Partek (www.partek.com), BRB Array Tools (linus.nci.nih.gov/BRB-ArrayTools.html), and dChip (biosun1.harvard.edu/complab/dchip). Expressions were estimated using the RMA (Multi-Array Analysis) method [38] with Partek software. Differentially expressed genes were found using the RVM (Random Variance Model) t-test, which is designed for small sample size experiments [39]. We used BRB Array Tools software, developed by Dr. Richard Simon and the BRB-ArrayTools Development Team. All genes were included in the comparison. For the genes represented by more than one probeset, we used the most highly expressed probeset. The cutoffs for differentially expressed genes were False Discovery Rate (FDR) = 0.05 [40].
2012-10-13 | E-GEOD-41558 | biostudies-arrayexpress
Project description:Experimental aim: identification of SRC-2 and SRC-3-related genes in MCF-7 breast cancer cells. Experimental workflow: 1. shRNA transduction. MCF-7 cells were transduced with a mix of lentiviral particles containing five individual lentiviral pLKO.1-puro short hairpin (sh) RNA plasmids targeting different sequences on SRC-2 or SRC-3 mRNA and a pLKO.1-puro empty vector control. The puromycin selections were maintained for three weeks to obtain cells containing stably integrated shRNA. 2. Sample preparation. RNA was extracted from eight independent replicates expressing the pLKO.1-puro empty shRNA vector (shKTR), from eight replicates of SRC-2 shRNA expressing cells (shSRC-2), and from seven replicates of SRC-3 shRNA expressing cells (shSRC-3). 300 ng of total RNA from each cell sample was biotin-labelled and amplified.
2019-07-01 | E-MTAB-7018 | biostudies-arrayexpress
Project description:Despite significant progress, our understanding of how specific oncogenes transform cells is still limited and likely underestimates the complexity of downstream signalling events. Herein, we describe a novel, integrated approach that addresses this knowledge gap. This utilizes mass spectrometry-based chemical proteomics to characterize the global impact of an oncogene on the expressed kinome, and then functionally annotates the regulated kinases. As an example, we identified approximately one hundred protein kinases exhibiting altered expression and/or phosphorylation in Src-transformed mammary epithelial cells. Screening with corresponding siRNAs identified nine kinases, including SGK1, as being essential for Src-induced transformation. In contrast, MAP4K5 suppressed transformation in a manner enhanced by S335 phosphorylation. In triple negative breast cancer cells, Src positively regulated SGK1 expression and combined inhibition of Src and SGK1 was more effective at inhibiting cell proliferation than either treatment alone. Therefore, this approach not only provides major mechanistic insights into oncogenic transformation but also aids the design of improved therapeutic strategies.
2018-11-21 | PXD011146 | Pride