Differential Ago-RIP-Seq for the identification of miR-375 targets in prostate cancer cells
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina HiSeq 2000
ORGANISM(S): Homo sapiens
SUBMITTER: Julia Romic-Pickl
PROVIDER: E-MTAB-3691 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:miR-375 is not expression in human macrophages, however there is an enhanced accumulation of miR-375 in macrophages upon coculture with breast cancer cells. The target landscape of this miR in macrophages is not known. Ago-RIP-Seq was aimed to identify miR-375 targets in human macrophages.
2019-02-08 | E-MTAB-6943 | biostudies-arrayexpress
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2012-06-27 | E-MEXP-3345 | biostudies-arrayexpress
Project description:Background: Aldo-keto reductase (AKR) 1C family member 3 (AKR1C3), one of four identified human AKR enzymes, catalyzes steroid, prostaglandin, and xenobiotic metabolism. In the prostate, AKR1C3 is up-regulated in localized and advanced prostate adenocarcinoma, and is associated with prostate cancer (PCa) aggressiveness. Here we provide initial evidence for potential roles of AKR1C3 in PCa progression. Methods: Spatial distribution of AKR1C3 was analyzed using immunohistochemical staining in prostate adenocarcinoma tissue array. Human PCa PC-3 cells were stably transfected with AKR1C3 cDNA to establish PC3-AKR1C3 transfectants. Microarray and bioinformatics analyses were performed to identify pathways that are activated by elevated AKR1C3 expression in PCa cells. Functional confirmation of microarray and bioinformatics results was performed by immunoblot analysis and an in vitro Matrigel angiogenesis assay. Results: Elevated AKR1C3 expression was specifically limited to human prostate adenocarcinoma. Microarray and bioinformatics analysis suggested that elevated AKR1C3 expression in PC-3 cells modulates estradiol and androgen metabolism and activates insulin growth factor (IGF)-1 and Akt signaling pathways. Immunoblots confirmed that phosphorylated levels of IGF-1 receptor (IGF-1R) and Akt are significantly up-regulated in PC3-AKR1C3 as compared to mock transfectants. PC3-AKR1C3 transfectants promoted endothelial cell tube formation in Matrigel as compared to parental PC-3 cells and mock transfectants. Conclusion: Microarray and bioinformatics data followed by biological analyses suggest that elevated AKR1C3 expression in PC-3 cells promotes PCa angiogenesis and aggressiveness. These results suggest AKR1C3 can promote the aggressiveness of PCa through modulating estrogen and androgen metabolism with subsequent activation of growth factor IGF-1 and cytoplasmic Akt signaling pathways. Total RNA from mock- and ACR1C3 transfected PC-3 cells was isolated, with 2 or 3 biological replicates each. Gene expression data from AKR1C3 transfected PC-3 cells were compared with mock-transfected data.
2010-08-10 | E-GEOD-20956 | biostudies-arrayexpress
Project description:Nine microRNAs (miRs) previously identified as increased in the sperm of stressed sires were microinjected into C57/Bl6:129S6/SvEvTac mouse single cell zygotes to examine the hypothesis that specific sperm miRs function postfertilization to alter offspring stress responsivity. Derived mice were exmined for hypothalamic-pituitary-adrenal axis stress response in adulthood, and the paraventricular nucleus of the hypothalamus was subsequently collected for gene expression analysis by next gen sequencing. Similar to what we reported previously in our paternal stress model, the majority of diffferenitally expressed genes in the PVN exhibited decreased expression, supporting that an increase of specific sperm miRs in the zygote can elicit long-term genetic reprogramming. Futher, marked changes in the expression of extracellular matrix and collagen gene sets suggested altered blood-brain barrier permeability with potential consequences for neuroendocrine function. mRNA profiling of paraventricular nucleus from adult male mice derived from zygote microinjection of nine miRs (multi-miR; miR-29, miR-30a, miR-30c, miR-32, miR-193-5p, miR-204, miR-375, miR-532-3p, miR-698) or PBS. Six biological replicates per group (12 total cDNA libraries) were multiplexed and sequenced on two identical HiSeq2000 lanes (Illumina).
2016-07-03 | E-GEOD-73574 | biostudies-arrayexpress
Project description:Our aim was to study the effect of FGF-8 on prostate tumor growth and to identify FGF-8b-associated molecular targets in the orthotopic PC-3 nude mouse model of prostate cancer.
2008-03-04 | E-MEXP-1081 | biostudies-arrayexpress
Project description:In this study, we sought to identify naturally presented MHC peptides in 8 human cancer cell lines: PANC.1, A.375, SW527, CaSki, PC.3, LNCaP_clone_FGC, MCF.7, and VMRC.LCD. Peptides identified were 8-15 amino acid long with the majority between 8 to 11 amino acids which match known properties of MHC-I presented peptides. Number of identifications differs between cell lines and ranges between 1834-5425 peptides.
2021-09-09 | PXD022020 | Pride
Project description:The aim of this study was to identify molecular targets for FGF-8 associated with prostate cancer progression in PC3 prostate cancer cells. PC3 prostate cancer cells were stably transfected with FGF-8b or control vector (mock). Expression of FGF-8 in PC3 cells increased cell growth and MMP-production in vitro. Microarray analyses revealed 169 significantly altered genes (>2.0-fold), some of the which were known to be associated with cancer growth and may represent novel markers of FGF-8 function. Upregulated genes included those involved in angiogenesis or cell growth (DDAH2, CRIP1 and SHC). Genes associated with differentiation or cell death were downregulated (VDR, CYCS). This study demonstrates associated patterns of gene expressions for FGF-8 in prostate cancer. This analysis may help find new prognostic factors or therapeutic targets for prostate cancer.
2009-06-01 | E-MEXP-581 | biostudies-arrayexpress
Project description:We previously demonstrated that the osteopontin-c (OPNc) splice variant activates several aspects of the progression of prostate cancers. The goal of the present study was to develop cell line model to determine the impact of OPNc overexpression on main cancer signaling pathways and thus obtain insights into the mechanisms of OPNc pro-tumorigenic roles. Methods: PC-3 cells were stably transfected to overexpress OPNc. Transcriptomic profiling was performed on these cells and compared to controls, to identify OPNc overexpression-dependent changes in gene expression levels and pathways by qRT-PCR analyses; Results: Of 84 genes tested by using a multiplex real-time PCR Cancer Pathway Array approach, among then 16 were differentially expressed between PC-3 OPNc-overexpressing cells in relation to control clones. Differentially expressed genes are included in all main hallmarks of cancer, and several interacting proteins have been identified using an interactome network analysis. Conclusions: Overall, the present study elucidated transcriptional changes of prostate cancer cells in response to OPNc overexpression, which provides an assessment for predicting the molecular mechanisms by which this splice variant promotes tumor progression features. Cell Culture, OPN Plasmids and Transfection; As a model to examine the signaling pathways modulated by OPNc overexpression in prostate carcinoma, we used PC-3 cell line, which were provided by ATCC. The open reading frame of OPNc was cloned into the pCR3.1 mammalian expression vector as previously described [Tilli et al., 2012]. Transfections were performed using LipofectamineTM 2000 (Invitrogen, CA). Our previous data demonstrated that PC-3 stably transfected cells contain higher levels of protein and the mRNA OPNc splicing isoform in relation to their endogenous levels in empty vector-transfected cells. PC-3 transfected with empty vector (EV) were used as a negative control in these assays. Human Cancer Pathway Finder PCR Array The Human Cancer Pathway Finder SuperArray (PAHS-033A; Qiagen) was used to determine changes in the specific genes encoding proteins related to the main hallmarks of cancer in response to OPNc overexpression. The assay design criteria ensure that each qPCR reaction will generate single, gene-specific amplicons and prevent the co-amplification of non-specific products. The qPCR Assays used in PCR Arrays are optimized to work under standard conditions enabling a large number of genes to be assayed simultaneously. Their specificity is guaranteed by SABiosciences when RT2 SYBR Green qPCR Master Mixes are used as part of the complete PCR Array System protocol. Simultaneous gene expression analyses require similar qPCR efficiencies for accurate comparison among genes. RT2 qPCR Primer Assays are designed with an amplicon size ranging from 100 to 250 bp and with PCR efficiencies uniformly greater than 90%. Overall, more than 10 thermodynamic criteria are included in the design of each RT2 qPCR Primer Assay to ensure the most reliable and accurate results for pathway-based gene expression analysis in the PCR Array System. We analyzed mRNA levels of 84 genes related to cell cycle control, apoptosis and cell senescence, signal transduction molecules and transcription factors, adhesion, angiogenesis, invasion and metastasis; and also 5 housekeeping genes and genomic DNA contamination controls. The PCR plates were run using the CFX96 Real-Time System cycler (BioRad, Hercules, CA), following a superarray two-step cycling PCR protocol, in which each plate ran one cycle for 10 minutes at 95M-BM-0C, as well as 40 cycles of 95M-BM-0C for 15 seconds and 60M-BM-0C for 1 minute. After the superarray protocol was run for each plate, RT-PCR data analysis was performed using the website:http://www.SABiosciences.com/pcrarraydataanalysis.php, in order to compare gene expression of OPNc-overexpressing cells and empty vector transfected cells. Total RNA quality control, cDNA synthesis and the quantitative real-time RT-PCR (qRT-PCR) array were performed as recommended by the manufacturer (Qiagen). Data analysis of gene expression was performed using Excel-based PCR Array Data Analysis Software provided by manufacturer (Qiagen). Fold-changes in gene expression were calculated using the M-NM-^TM-NM-^TCT method, and five stably expressed housekeeping genes (M-NM-22 microglobulin, hypoxanthine phosphoribosyltransferase 1, ribosomal protein L13a, GAPDH and M-NM-2-actin) were used to normalize the level of expression. The statistical analysis was performed to compare the gene expression values for the OPNc-overexpressing cells and those transfected with empty vector. P<0.05 was considered statistically significant. Only genes showing a 1.5-fold or greater change were considered for further analysis.
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