Expression data from normal LNCAP cells and LNCAP cells treated with PC-3 exosomes
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PROVIDER: PRJNA608255 | ENA |
REPOSITORIES: ENA
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Project description:We used microarrays to detail the global gene expression in normal LNCAP cells and LNCAP cells treated with PC-3 exosomes.
2020-02-25 | GSE145786 | GEO
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2015-02-12 | E-GEOD-35813 | 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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Project description:Exosomes are small extracellular vesicles released through fusion of multivesicular bodies with the plasma membrane. The aim of this study was to investigate whether there are any differences in miRNAs in exosomes secreted from the prostate cancer cell line PC-3 and in parent cells, as well as to investigate whether there are any differences in miRNAs in cell lysates from PC-3 cells and the non-cancerous prostate cell line RWPE-1.
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2016-07-21 | GSE83654 | GEO
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Project description:Libraries of single-stranded oligodeoxynucleotides (ssODNs) can be enriched for sequences that specifically bind molecules on naïve complex biological samples like cells or tissues. Depending on the enrichment strategy, the ssODNs can identify molecules specifically associated with a defined biological condition, for example a pathological phenotype, and thus are potentially useful for biomarker discovery. We performed ADAPT, a variant of SELEX, on exosomes secreted by VCaP prostate cancer cells. A library of ~1011 ssODNs was enriched for those that bind to VCaP exosomes and discriminate them from exosomes derived from LNCaP prostate cancer cells. Next-generation sequencing (NGS) identified the best discriminating ssODNs, nine of which were resynthesized and their discriminatory ability confirmed by qPCR. Affinity purification with one of the sequences (Sequence 7) combined with LC-MS/MS identified its molecular target complex, whereof most proteins are part of or associated with the multiprotein ESCRT complex participating in exosome biogenesis. Within this complex, YBX1 was identified as the directly bound target protein. ADAPT thus is able to differentiate exosomes from cancer cell subtypes from the same lineage. The composition of ESCRT complexes in exosomes from VCaP versus LNCaP cells might constitute a discriminatory element between these prostate cancer subtypes.
2020-01-13 | PXD011496 | Pride
Project description:We measured the effect of docetaxel treatment to three differentially responsive prostate cancer cell lines, LNCaP, DU145 and PC-3, based on a transcriptional time course response by microarray analysis. These cell lines represent both androgen independent (DU145 and PC-3) and androgen sensitive (LNCaP) cells Hybridized arrays were scanned with Agilentâs dual laser-based scanner. Feature Extraction software version 10.5 (Agilent Technologies) was used to link a feature to a design file and to determine the relative fluorescence intensity between two samples. Dye swap strategy with alternate cy3 and cy5 labeling on docetaxel treated and control groups over four time points was used to have technical replicates and decrease dye bias.
2016-07-21 | E-GEOD-83654 | biostudies-arrayexpress
Project description:Exosomes research has been strongly promoted by the discovery of different classes of RNAs, mainly miRNAs, which are transfered to target cells and modulate various simgnaling pathways in target cells. Inflamed endothelial cells derived exosomes, acting as carriers for intercellular information exchange in atherosclerosis, are worthy of further research to investigate the disease pathophysiological mechanisms. This study aimed to investigate the differentially microRNA expression between normal and inflamed endothelial cells derived exosomes.
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Project description:MicroRNA expression in normal and inflamed endothelial cells derived exosomes.
| PRJNA935750 | ENA