Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq of miR-375 overexpression in prostate cancer cells

ABSTRACT: RNA-seq of miR-375 overexpression in prostate cancer cells

PROVIDER: PRJNA980124 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24835355_1.fastq.gz	Fastqsanger.gz
	SRR24835355_2.fastq.gz	Fastqsanger.gz
	SRR24835356_1.fastq.gz	Fastqsanger.gz
	SRR24835356_2.fastq.gz	Fastqsanger.gz
	SRR24835357_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

RNA-seq of miR-375 overexpression in prostate cancer cells

Project description:Prostate cancer (PCa) is the most frequently diagnosed malignancy in men worldwide. miRNAs play nonnegligible function in PCa progression. Although several groups studied the effect of miR-375 on PCa phenotypes, some controversial findings emerged. Here, we seek to explore the effect of miR-375 on transcriptome profile in both AR+ LNCaP and AR- PC3 cells via RNA-seq.

2024-03-01 | GSE234110 | GEO

Differential Ago-RIP-Seq for the identification of miR-375 targets in prostate cancer cells

Project description:The prostate cancer cell line PC-3 was transfected with pre-miR-375 or control. After 48 hours the cells were lysed and immunoprecipitation was performed using anti-panAgo (...) or isotype anti-IgG antibodies overnight. RNA of total lysates and immunoprecipitation fractions was extracted using miRNeasy kit (Qiagen) and libraries were generated using the Stranded Total RNA Sample Prep Kit (Takara Clontech). The experiment was performed in order to identify potential targets of miR-375 in prostate cancer.

2017-01-31 | E-MTAB-3691 | biostudies-arrayexpress

Exosomal miR-1290 and miR-375 as prognostic markers in castrate resistant prostate cancer

Project description:Extracellular microRNAs (miRNAs) embedded in circulating exosomes may serves as prognostic biomarkers in cancer. This study was performed to identify and evaluate plasma exosomal miRNAs for prognostication in castration resistant prostate cancer (CRPC). RNA sequencing was performed to identify candidate exosomal miRNAs associated with overall survival in a screening cohort of 23 CRPC patients. Candidate miRNAs were further evaluated for prognosis using qRT-PCR in a follow-up cohort of 100 patients. Cox regression and Kaplan–Meier survival curve analysis were used to evaluate prognostic value of miRNA candidates with and without incorporation of clinical prognostic factors (age, Gleason score and time from androgen deprivation therapy to clinical progression). In the screening cohort, we obtained ~6.80 million mappable RNA reads per patient. Of those with normalized read counts ? 5, 43% were mapped to miRNAs for a total of 375 known and 57 novel miRNAs. Cox regression analysis identified an association of miR-1290, -1246, and -375 with overall survival (FDR<0.1). Of those, higher levels of miR-1290 and -375 were verified to be significantly associated with poor overall survival (p<0.004) in the follow-up cohort. The miR-1290/-375-based prediction model showed better performance with time-dependent area under the curve (AUC) =72% compared to clinical variable-based model with AUC=65%. Plasma exosomal miR-1290 and miR-375 are promising prognostic biomarkers for CRPC patients. Prospective validation is needed for further development of these candidate miRNAs.

2014-12-30 | GSE58410 | GEO

Global gene expression changes associated with miR-375 overexpression

Project description:To determine gene expression changes assoicated with miR-375 overexpression, MCC26 (merkel cell carcinoma cell line) were transfected with 5nM of miR-375 mimics. RNA was isolated 72 hours post-transfection and subjected to gene expression analysis using Agilent human 4X44 whole genome microarrays. Analysis was performed on microarray data corresponding to two independent experiments (n=2)

2015-10-21 | GSE74213 | GEO

RNA-sequencing from miR-375 knockout and YAP overexpression lung carcinoid (H727) cells.

Project description:We report RNA sequencing data for miR-375 knockout and YAP overexpression lung carcinoid cells (H727). Lung carcinoids are variably aggressive and mechanistically understudied neuroendocrine neoplasms (NENs). Here, we identified and elucidated the function of a miR-375/yes-associated protein (YAP) axis in lung carcinoid (H727) cells. miR-375 and YAP are respectively high and low expressed in wild-type H727 cells. Following lentiviral CRISPR/Cas9-mediated miR-375 depletion, we identified distinct transcriptomic changes including dramatic YAP upregulation. Similarly, YAP overexpression resulted in distinct and partially overlapping transcriptomic changes, phenocopying the effects of miR-375 depletion in the same models as above. Pathways analysis and confirmatory real-time PCR studies of shared dysregulated targets indicate that this axis controls neuroendocrine related functions such as neural differentiation, exocytosis, and secretion. Taken together, we provide compelling evidence that a miR-375/YAP axis is a critical mediator of neuroendocrine differentiation and tumorigenesis in lung carcinoid cells.

2021-05-19 | GSE154872 | GEO

Overexpression of microRNA-375 in medullary thyroid carcinoma cells hinders cell proliferation and improves the vandetanib efficacy effect in vitro

Project description:The global microRNA (miRNA) profiling expression was assessed in a large series of both sporadic and hereditary forms of medullary thyroid carcinomas (MTC), and to evaluate the biological function of major found altered miRNAs. For this purpose we investigated miRNA differential expression in tumoral vs adjacent non tumoral tissues from 62 MTC patients, and showed a specific overexpression of miR-375, -129-3p, -376c, -335, -96, -10a, -7, -429 and an underexpression of miR-451 in tumoral tissues. Since miR-375 was the most up-regulated miRNA, we thus decided to identify its targets by combining a transcriptomic signature of cells transfected either with premiR- or antagomiR-375 and an in silico analysis joining TT-cells mRNA specific signature from Cancer Cell Line Encyclopedia GEO dataset and miRNA prediction algorithms. Using this restrictive approach, we focused on miR-375 target SEC23A and validated a decreased expression of SEC23A by Western blotting and by immunohistochemistry in tumoral vs non tumoral adjacent thyroid epithelium. Furthermore, we observed that overexpression of miR-375 was associated with decreased proliferation and increased vandetanib response in vitro. Overall, our results showed an overexpression of miR-375 in MTC in association with a decrease of miR-375-potential targets including SEC23A. Additionnally, we postulate thatmiR-375 overexpression should be evaluated in MTC patients treated with the tyrosine kinase inhibitor, vandetanib.

2016-05-22 | GSE67742 | GEO

Ago-RIP-Seq Analysis to Identify miR-375 Targets in Human Macrophages

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

RNA-sequencing of fibrolamellar carcinoma (FLC) cell line treated with miR-375 mimic

Project description:Fibrolamellar carcinoma (FLC) is a rare liver cancer. Expression of miR-375 is significantly lost in primary FLC tumors compared to non-malignant liver. Here, we treated a FLC cell line with miR-375 mimic or scramble control to determine the function of miR-375 in FLC.

2019-03-07 | GSE125602 | GEO

Differential Ago-RIP-Seq for the identification of miR-375 targets in prostate cancer cells

Project description:Differential Ago-RIP-Seq for the identification of miR-375 targets in prostate cancer cells

| PRJEB9759 | ENA

Effect of MIR-375 expression on UM-SCC-1

Project description:MicroRNA mir-375 was expressed in head and neck cancer UM-SCC-1 tumor cells and expression was compared to empty vector control.

2017-03-15 | E-MTAB-5405 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data