Goserelin and bicalutamide treatments alter the expression of microRNAs in prostate
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ABSTRACT: 30 patients were randomized equally into three groups: no treatment, bicalutamide (antiandrogen) 150 mg daily, and goserelin (GnRH agonist) 3.6 mg every 4 weeks. Following the neoadjuvant treatment for 12 weeks, patients underwent radical prostatectomy. Freshly frozen specimens were collected for expression profiling by human Agilent miRNA V2 microarray chips. Each array contained probe sets for 723 human miRNAs according to Sanger miRBase v 10.1
Project description:30 patients were randomized equally into three groups: no treatment, bicalutamide (antiandrogen) 150 mg daily, and goserelin (GnRH agonist) 3.6 mg every 4 weeks. Following the neoadjuvant treatment for 12 weeks, patients underwent radical prostatectomy. Freshly frozen specimens were collected for expression profiling using Illumina microarray (probes for >25 000 mRNAs) <br><br>A file containing processed data is available on the FTP site for this experiment.
Project description:Metastasis is a multistage process that requires cancer cells to escape from the primary tumor, survive in the circulation, seed at distant sites and colonize these foreign tissue environments. Each of these processes involves rate-limiting steps that are influenced by stromal cells of the tumor microenvironment. While the tumor microenvironment has emerged as a major regulator of cancer progression in other organ sites, our knowledge of the brain metastatic microenvironment is currently very limited. Thus, we aim to dissect signatures of tumor-stroma interactions in brain metastasis in order to identify factors that regulate the homing, seeding and outgrowth of cancer cells in this highly specialized microenvironment. We took advantage of an experimental metastasis model in which variants of the human breast cancer line MDA-MB-231 home to the brain in xenografted animals. To simultaneously capture gene expression changes in the tumor and stromal compartment, we used a dual species-specific microarray platform, the HuMuProtIn array, to discriminate between differentially expressed protease or protease inhibitor genes of human (tumor) or murine (stromal) origin. RNA was isolated from early and late brain, bone and lung metastases from xenograft models of breast metastasis. RNA was also isolated from non-tumor-burdened mouse brain, bone and lung as normal tissue controls. RNA from tissue homing cell lines was isolated in vitro to serve as a control for the human-derived RNA. Samples were collected from 24 total tumor-burdened mice, with 3 replicates for each condition and control. A total of 36 samples are included here.
Project description:WT mice and mice lacking PTPN2 in T cells (PTPN2-CD4Cre mice) were treated with AOM/DSS to induce colorectal tumours. RNA was isolated from tumour and non-tumour tissues in the colon. Colon samples from water-treated WT and PTPN2-CD4Cre mice served as additional control. Total RNA was isolated and the samples sequenced for polyA enriched RNA.
Project description:Alternative splicing analysis of laser micro-dissected lung dysplasia RNA samples Lung dysplasia is a precancerous condition with high risk of malignant transformation. Little is known about alternative spliced (AS) genes in dysplasia. We therefore investigated laser micro-dissected microscopic foci of non-contaminant dysplasia and/or lung adenocarcinoma of c-Raf transgenic mice and searched genome wide for AS genes using exon arrays. Notably, bioinformatics defined 34 and 36 AS genes in the comparison dysplasia versus transgenic unaltered and non-transgenic lung tissue while the comparison adenocarcinoma versus transgenic unaltered and non-transgenic lung tissue revealed 54 and 56 genes, respectively. So far only 6 of these were reported for lung cancer. Importantly, dysplasia related AS genes were also regulated in lung cancer to suggest a role in disease onset. Next to exon skipping/inclusion alternative splicing at the 3M-bM-^@M-^Y and 5M-bM-^@M-^Y was common and included genes of the splicing regulatory pathway. Disease dependent changes of variant transcripts were confirmed by RT-PCR while Western blotting identified alternative splicing to modulate protein levels of AS genes. For the AS genes Add3, Cast, Osbpl6, Nedd4l, Numb, Picalm and Slk transcript and protein level agreed well, whereas for Arhgef11, Clstn1, Dlg1, Dock9, Mbnl2, Mfge8, Npnt, Pdlim5, Ppp2r5c, Tjp1 notable differences in the abundance of variant transcripts were observed by RT-PCR and gel electrophoresis. Moreover, expression of individual variants differed between dysplasia and carcinoma to suggest their disease dependent regulation. Western blotting of IQGAP1, MYO6, PTPRM, RABGAP1L and RAD50 confirmed significant regulation of isoforms in lung cancer as compared to non-transgenic, transgenic unaltered and dysplastic lung tissue. For 46 AS genes expression of the non-variant protein was reported in human lung cancer (www.proteinatlas.org) and for 13 of these, cancer related AS events are known. Overall, new insight into lung dysplasia was obtained with 43 new cancer related AS genes to aid diagnosis and molecular intervention strategies. We analyzed and compared dysplastic (n=4) and adenocarcinoma (n=4) lesions and with transgenic but unaltered (n=4) and non-transgenic (n=5) lung tissue obtained from SPC/c-Raf transgenic mice with aid of laser micro dissection pressure catapulted (LMPC) technique. Dysplasia is a pre-neoplastic condition and developed at 5 month of age in the proposed mouse model. LMPC provides precise microscopic lesion collection without contamination. The RNA samples were analyzed using the Affymetrix Mouse Exon 1.0 ST platform. Alternative splicing was analyzed using Biotique XRAY tool. No technical replicates were performed.
Project description:Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data alone. To estimate cell admixture using protein abundance data, we analyzed proteome (and transcriptome data) generated from contrived admixtures of tumor, stroma, and immune cell models or those selectively harvested from the tissue microenvironment by laser microdissection from high grade serous ovarian cancer (HGSOC) tumors. Co-quantified transcripts and proteins performed similarly to estimate stroma and immune cell admixture in two commonly used deconvolution algorithms ESTIMATE and ConsensusTME (r ≥ 0.63). Here we have developed and optimized protein-based signatures to estimate cell admixture proportions and benchmarked these using bulk tumor proteomics data from over 150 HGSOC patients. The optimized protein signatures supporting cell type proportion estimates from bulk tissue proteomic data are available at https://lmdomics.org/ProteoMixture/.
Project description:Our goal is to find new genes regulated by p21 in human primary cells . To get it we carried out a gene expression profiling in two different models, human myeloid leukemia K562 cells and human keratinocytes both of them with conditional expression of p21. In order to find genes regulated by p21 in human primary cells we carried out a gene expression profiling in human myeloid leukemia K562 cells with conditional expression of p21. We previously described a K562 derivative, termed Kp21-4, that carries a zinc-inducible p21 gene (Munoz-Alonso MJ et at., 2005). We performed a kinetic study to identify the expression peak of p21 in this system. This transient induction of p21 was accompanied by proliferation arrest and an increase in polyploid cells after 48-72 h (Munoz-Alonso MJ et at., 2005). Actually, 6-12 h of p21 induction with ZnSO4 is sufficient to irreversibly trigger proliferation arrest. Therefore, we chose 12 h as the induction time to analyse p21 effects on the transcriptome of these cells, as gene expression changes later on may be indirect due to other phenotypic effects. We next carried out the gene expression profiling of Kp21-4 cells upon p21 induction by ZnSO4. In order to identify genes specifically modulated by p21 we compared with the cell line Kp27-5, which carries a Zn2+-inducible p27 allele (Munoz-Alonso MJ et at., 2005). p27 is a close relative to p21 that also inhibits CDKs and induce cell cycle arrest . Thus, the comparison serves to identify genes specifically regulated by p21 in our analysis. We subtracted the gene expression changes occurring at 72 h in Kp21-4 cells those genes regulated by p27 in the Kp27-5 cells and genes changed by ZnSO4 treatment in parental K562 cells. So, our intention is to identify only genes regulated at short time of induction by p21 and not by p27. In order to confirm these results we studied the p21-dependent repression of mitotic genes in a different cellular system. A dramatic increase in p21 and p27 in Kp21 and Kp27 were demonstrated by RT-qPCR and immunoblot (as we show in the manuscript). We prepared RNA 12 h and 72h after induction with ZnSO4 and performed large-scale expression assay using the Afftymetrix platform. The clustering analysis revealed that p21 provoked the down-regulation of a number genes involved in cell cycle control not shared by cells expressing p27 (as we show in the manuscript). Our goal, has been getting genes regulated more strongly by p21 and not by p27, in cell cycle and itosis. Our result are supported because we have found the same genes in two different models and also we have validated (by RT-qPCR) more than 20 cell cycle and mitotic genes, found in our affymetrix arrays. Also we have found the region of p21 that is sufficient for gene regulation and for one gene we have described as p21 bind to the promoter. Finally, we have discussed in our manuscript how p21 can do this regulation by bioinformatic analysis of p21-target genes. The sucess of this study is describe a new role of p21 as a transcriptional co-repressor in some systems.
Project description:The phosphorylomics data of liver tissue of 16-week-old HFHC-induced mice treated with saline or breviscapine for 8 weeks. The mice fed with high fat and high cholesterol were also divided into two groups. The control group was treated with normal saline for 8W, and the drug group was treated with breviscapine for 8W n=3.
Project description:We performed micrarrays to investigate neuronal gene expression changes during acute inflammatory CNS axon injury using the murine myelin oligodendrocyte glycoprotein 35-55 (MOG35-55)-induced experimental autoimmune encephalomyelitis (EAE) model. The present study was assigned to assess the direct and indirect endogenous neuronal response to spinal axonal injury in the motor and sensory cortex. Gene expression in motor and sensory cortex enriched tissue was assessed from four healthy and six EAE female mice. Tissue was collected from mice with paraplegia or monoplegia, with contralateral hindlimb paresis (EAE day 18-21). The gene expression profiles of the EAE mice were compared to the motor or sensory cortex of healthy control mice, resulting in a list of differentially expressed genes in healthy and EAE mice.
Project description:We report on the characterization of lipogenic tissue transcriptional networks that support physiological responses of obese rats to a lipid-lowering bioactive food compound, R-a-lipoic acid (LA). Nine-week old male ZDF (fa/fa) rats were fed a chow diet supplemented with 3 g LA per kg diet or pair fed for two weeks. At the end of the trial, high-quality RNA was extracted from the liver and epididymal fat and subjected to transcriptome analysis using RNA-Seq technology. Results showed a substantially higher number of differentially expressed genes (DEG, q ⤠0.05 and absolute log2(fold change) ⥠1) in liver (110 genes) vs. epididymal fat (10 genes). Most epididymal fat DEG were also differentially expressed in liver and shared directionality of change. Gene Ontology (GO) analysis of these transcripts revealed significant enrichment of GO categories related to immune response, stress response, lipid metabolism, and carboxylic acid metabolic processes. Of interest interferon-related genes involved in defense against microorganism and innate immune response were induced by LA. Lipid metabolism-related transcript changes observed in LA-fed animals included downregulation of lipogenic genes (Pnpla3, Pnpla5, Elov6, Acly, Gpam, and Aacs) and concomitant upregulation of short-, medium- and long-chain fatty acid metabolic processes (Acot1, Acot2, Acsf2, and Crat). Transcriptional changes were accompanied by the lowering of abdominal adiposity and blood triacylglycerol levels. We conclude that LA dietary supplementation induces prominent gene expression changes in liver in support of significant improvement of whole-body lipid status For each tissue and feed combination (liver/LA+, liver/LA-, adipose/LA+, and adipose/LA-) the transcriptome was sequenced with 4 biological replicates.
Project description:Glucocorticoid excess is linked to central obesity, adipose tissue insulin resistance and type 2 diabetes mellitus. The aim of our study was to investigate the effects of dexamethasone on gene expression in human subcutaneous and omental adipose tissue, in order to identify potential novel mechanisms and biomarkers for glucocorticoid-induced insulin resistance in adipose tissue. Dexamethasone changed the expression of 527 genes in both subcutaneous and omental adipose tissue. FKBP5 and CNR1 were the most responsive genes in both depots (~7-fold increase). Dexamethasone increased FKBP5 gene and protein expression in a dose-dependent manner in both depots, but FKBP5 protein levels were 10-fold higher in omental than subcutaneous adipose tissue. FKBP5 gene expression in subcutaneous adipose tissue was positively correlated with serum insulin, HOMA-IR and subcutaneous adipocyte diameter, while fold change in gene expression by dexamethasone was negatively correlated with clinical markers of insulin resistance, i.e. HbA1c, BMI, HOMA-IR and serum insulin. Only one gene, SERTM1, clearly differed in response to dexamethasone between the two depots. Dexamethasone at high concentrations, influences gene expression in both subcutaneous and omental adipose tissue in a similar pattern and promotes gene expression of FKBP5, a gene that may be implicated in glucocorticoid-induced insulin resistance. Paired human subcutaneous (sc) and omental (om) adipose tissue samples obtained from 4 non-diabetic adipose tissue donors (4 M; BMI: 20.8-27.5 Kg/m2) were incubated without (Ctr) or with dexamethasone (Dex, 3 M-NM-<M) for 24 h.