BV02 perturbed proteome (prostate cancer models)
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
H. Alexander Ebhardt
PROVIDER: MSV000081938 | MassIVE | Tue Jan 16 03:21:00 GMT 2018
REPOSITORIES: MassIVE
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Project description:Neuroendocrine prostate cancer models
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Project description:Failure in intracellular zinc accumulation is a key process in prostate cancerogenesis. Although prostate cancer cells can accumulate zinc after long-term exposure, chronic zinc oversupply may accelerate prostate carcinogenesis or chemoresistance. As a model of prostate cancerogenesis, long-term zinc-treated (zinc accumulating) cell lines 22Rv1, and PC-3 were used. In this dataset we investigated how long-term zinc treatment is associated with changes of cell proteome in these cells as determined by LC-MS. Preparation of long-term zinc-treated cells is described in Holubova et al., 2014, and Raudenska et al, 2019.
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Project description:Prostate cancer is the second-leading cause of cancer deaths for men in the U.SS. Global phosphorylation study on prostate cancer is still rare, in this study SILAC and TiO2 were used to quantify the phosphorylation in PC-3 cell and PC-3M cell. Global proteomics analysis was used to comparative analysis the protein level in the PC-3 cell and PC-3M cell.
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Project description:Docetaxel-based chemotherapy is the standard first-line therapy in metastatic castration-resistant prostate cancer. However, most patients eventually develop resistance to this treatment. The aim of the study was to identify key molecular genes and networks associated with docetaxel resistance in 2 models of docetaxel-resistant castration-resistant prostate cancer cell lines. DU-145 and PC-3 cells were converted to docetaxel-resistant cells, DU-145R and PC-3R, respectively. Whole-genome arrays were used to compare global gene expression between these 4 cell lines. Arrays were performed by triplicate for each cell line.
2012-01-01 | E-GEOD-33455 | biostudies-arrayexpress
Project description:Full title: Comprehensive Characterization of Three-Dimensional Models for Prostate Cancer Growth and Invasion in Laminin-rich Extracellular Matrix Prostate Cancer (PrCa) cells undergo acinar morphogenesis and spheroid formation in three-dimensional (3D) culture, supported by laminin-rich extracellular matrix (lrECM, Matrigel). We developed miniaturized 3D model systems that facilitate investigation of morphogenesis and invasion of normal and PrCa cell lines in lrECM. Primary and non-transformed cell lines formed round structures with strong cell-cell contacts and epithelial polarization, lumen and a complete basal lamina (BL). In contrast, most PrCa cell lines formed either defective, “mass” spheroids with incomplete BL, or invasive “stellate” structures. The bioinformatic analyses of genome-wide mRNA expression data revealed massive alteration of key functional and signaling pathways in 3D cultures, with lipid and steroid metabolism, epigenetic reprogramming, and differentiation-related transcription factors induced across all cell lines by lrECM. In invasive cells, AKT, PI3Kinase, mTOR, and hedgehog signaling pathways were most highly activated, validated by small molecule inhibitors compounds specifically targeting key regulatory molecules. Compounds against AKT and PI3kinase pathways were significantly more effective in invasive cells, compared to mass or round/normal phenotype spheroids, and monolayer culture. A severe morphologic conversion was observed in PC-3 and PC-3M cells, transforming initially round, normal-appearing epithelial spheroids into rapidly invading cell masses. Markers for EMT (epithelial-mesenchymal transition) were highly expressed already in early stage, round spheroids prior to invasive conversion, and were not further increased in invasive cells. This indicates that PrCa cells can display extraordinary plasticity. EMT may be involved in providing a metastable genotype that allows morphological transformation, but is not be required for invasive processes themselves. Total RNA was obtained from non-transformed prostate epithelial cells and prostate cancer cells cultured in monolayer and three-dimensional laminin-rich extracellular matrix (growth factor-reduced Matrigel).
2010-12-06 | E-GEOD-19426 | biostudies-arrayexpress
Project description:Introduction: Neuroendocrine prostate cancer (NEPC) is an aggressive subtype of prostate cancer, exhibiting rapid progression and is unresponsive to hormone therapy. Reliable prognostic assays and more effective treatments are critically required. However, the research of NEPC has been hampered by a lack of clinically relevant in vivo models. Recently, we successfully developed a first-in-field patient tissue-derived xenograft model of complete neuroendocrine transdifferentiation from prostate adenocarcinoma. By comparing gene expression profiles of the parental adenocarcinoma line (LTL331) and the NEPC subline (LTL331R), we identified DEK, a gene not previously reported in prostate cancer, as a potential biomarker and target for NEPC. Methods: DEK protein expression in patient tissue-derived xenograft models and clinical samples was assessed by immunohistochemistry. The function of DEK was determined by siRNA-induced reduction of DEK expression in PC-3 cells, a cell line with NEPC characteristics, followed by functional assays and gene expression profiling analysis. Results: Elevated DEK protein expression was observed in all clinical NEPC cases, which is distinct from their benign counterparts (0%), hormonal naïve prostate cancer (2.45%) and castration resistant prostate cancer (29.55%). Increased DEK expression is an independent clinical risk factor and is associated with shorter disease free survival in hormonal naïve prostate cancer patients. Reduction of DEK expression in PC-3 cells led to a marked reduction in cell proliferation, cell migration and invasion. Conclusions: The results suggest that DEK may play an important role in the progression of prostate cancer, especially NEPC and provide a potential biomarker to aid risk stratification of prostate cancer and a novel therapeutic target for treating NEPC. The function of DEK was determined by siRNA-induced reduction of DEK expression in PC-3 cells, a cell line with NEPC characteristics, followed by functional assays and gene expression profiling analysis.
2015-01-15 | E-GEOD-61214 | biostudies-arrayexpress
Project description:BACKGROUND. Human prostate cancer LNCaP and PC-3 cell lines have been extensively used as prostate cancer cell models to study prostate cancer progression and to develop therapeutic agents. Although LNCaP and PC-3 cells are generally assumed to represent early and late stages of prostate cancer development, respectively, there is limited information regarding comprehensive gene expression patterns between these two cells lines and relating these cells to prostate cancer progression based on their gene expression. METHODS. Comprehensive gene expression analysis was performed in LNCaP and PC-3 cells. Total RNA was isolated from cultured cells and hybridized to Illumina human Ref-8 version 3 BeadChips representing 24,526 transcripts. Bioinformatics approach was applied to identify genes, their functional roles and interaction networks that are unique in either LNCaP or PC-3 cells. RESULTS. We observed large differences in gene expression between LNCaP and PC-3 cells.Using robust statistical analysis and very high significance criteria to identify tractable number of genes 115 and 188 genes were identified uniquely expressed in LNCaP and PC-3 cells, respectively. Genes uniquely expressed in LNCaP cells contained UDP-glucosyltransferases as a signature for this cell line. This cell line demonstrated upregulation of various metabolic pathways on gene expression level. Talα/β, GATA-1 and c-Myc/Max were identified by in silico analysis as possible transcription factors regulating unique LNCaP genes. PC-3 cells were characterized by cytosceleton-related genes, keratins in particular. Several other well known genes (VEGFC, IL8, TGFβ2 and others) scattered throughout literature were identified and summarized in the discussion. CONCLUSIONS. This study demonstrated that LNCaP and PC-3 cells represent two distinct prostate cancer cell lineages. LNCaP cells retain many prostate cell specific properties, whereas PC-3 cells have acquired more aggressive bone-like characteristics following bone metastasis and show little resemblance to prostate cells. Microarray studies confirmed previously published results and provided more information between these two prostate cancer cell lines. Future studies need to consider their similarities and differences in gene expression between localized and metastasized prostate cancer.
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