Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: Cellular model of colon cancer progression reveals signatures of mRNAs, miRNA, lncRNAs and epigenetic modifications associated with metastasis.

PROVIDER: PRJNA339293 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR4040070.fastq.gz	Fastqsanger.gz
	SRR4040071.fastq.gz	Fastqsanger.gz
	SRR4040072.fastq.gz	Fastqsanger.gz
	SRR4040073.fastq.gz	Fastqsanger.gz
	SRR4040074.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Cellular model of colon cancer progression reveals signatures of mRNAs, miRNA, lncRNAs and epigenetic modifications associated with metastasis.

Project description:Cellular model of colon cancer progression reveals signatures of mRNAs, miRNA, lncRNAs and epigenetic modifications associated with metastasis.

| PRJNA339061 | ENA

Expression data from normal melanocyte, melanoma cells and their exosomes (mRNA)

2012-10-10 | GSE35388 | GEO

Expression data from normal melanocyte, melanoma cells and their exosomes (microRNA)

2012-10-10 | GSE35387 | GEO

Expression data from normal melanocyte, melanoma cells and their exosomes (microRNA)

Project description:Exosomes are small membraneous vesicles secreted into body fluids by tumors. Tumor exosomes contain intact and functional mRNAs, small RNAs (including miRNAs), and proteins that can alter the cellular environment to favor tumor growth. Further exploration into the molecular profiling of exosomes may increase our understanding of their roles in melanoma progression in vivo, and may have potential application in biomarker studies. In the present study, we used mRNA array profiling to identify thousands of exosomal mRNAs associated with melanoma progression and metastasis. Similarly, miRNA array profiling identified specific miRNAs, such as hsa-miR-31, -185, and -34b, involved in melanoma invasion. Our results indicate that melanoma-derived exosomes have unique gene expression signatures and miRNA profiles that may have important functions in melanoma metastasis and progression. Total RNA from cells and exosomes were isolated using mirVana total RNA isolation kit according to the manufacturer’s guidelines. RNA was quantified using Nanodrop ND-1000. The integrity of these total RNAs was assessed using Agilent 2100 Bioanalyzer. Total high-quality RNA was labelled. The miRNA array profiling was performed by using the Affymetrix GeneChip miRNA Array 1.0. Two different RNA preparations from two cell lines and their exosomes were used, except that only one RNA preparation was used for HEMa-LP exosome miRNA array. Due to the limited number of passages (approximately 10), adequate exosomal RNA and proteins from HEMa-LP cells for multiple analyses was not available.

2012-10-10 | E-GEOD-35387 | biostudies-arrayexpress

Expression data from normal melanocyte, melanoma cells and their exosomes (mRNA)

Project description:Exosomes are small membraneous vesicles secreted into body fluids by tumors. Tumor exosomes contain intact and functional mRNAs, small RNAs (including miRNAs), and proteins that can alter the cellular environment to favor tumor growth. Further exploration into the molecular profiling of exosomes may increase our understanding of their roles in melanoma progression in vivo, and may have potential application in biomarker studies. In the present study, we used mRNA array profiling to identify thousands of exosomal mRNAs associated with melanoma progression and metastasis. Similarly, miRNA array profiling identified specific miRNAs, such as hsa-miR-31, -185, and -34b, involved in melanoma invasion. Our results indicate that melanoma-derived exosomes have unique gene expression signatures and miRNA profiles that may have important functions in melanoma metastasis and progression. Total RNA from cells and exosomes were isolated using mirVana total RNA isolation kit according to the manufacturer’s guidelines. RNA was quantified using Nanodrop ND-1000. The integrity of these total RNAs was assessed using Agilent 2100 Bioanalyzer. Total high-quality RNA was converted to cDNA, transcribed and labelled, and then hybridized to human HG-U133 plus 2 arrays (Affymetrix) then scanned according to the standard protocol recommended by Affymetrix. Two different RNA preparations from two cell lines and their exosomes were used.

2012-10-10 | E-GEOD-35388 | biostudies-arrayexpress

Whole-transcriptome analysis in breast cancer with or without lymph node metastasis

Project description:To identify the mRNAs, long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) involved in the pathogenesis of breast cancer, we performed the whole transcriptome sequencing. The whole transcriptome sequencing was performed with three breast cancer tissues with or without lymph node metastasis in each group, respectively. The results showed that 728 mRNAs, 131 lncRNAs, and 144 circRNAs were differentially expressed in lymph node metastasis group and no lymph node metastasis group (fold change≥2, p<0.05). These data indicate that dysregulation of mRNAs, lncRNAs, and circRNAs may contribute to breast cancer progression.

2021-12-31 | GSE163346 | GEO

Homo sapiens

Project description:lncRNAs expression signatures of colon cancer

| PRJNA227994 | ENA

The temporal expression of lncRNAs and mRNAs in the AOM/DSS induced primary colon cancer model

Project description:Long noncoding RNAs (lncRNAs) have potential applications in clinical diagnosis and targeted cancer therapies. However, the expression profile of lncRNAs in colorectal cancer (CRC) initiation and progression is still unclear.In the present study, the expression profiles of lncRNAs and mRNAs were determined by microarray at specific tumor stages in an AOM/DSS-induced primary colon cancer model.

2018-10-12 | GSE121128 | GEO

LncRNA expression analysis of Clostridium butyricum-induced cell apoptosis in colon cancer SW480 cells

Project description:To compare lncRNAs and mRNAs expression profiles in colon cancer after co-cultured with CB and without CB, we extracted total RNA of colon cancer cell line(SW480) after co-cultured with CB(SW480/CB) and paired control without CB(SW480/ctr), and identified the dysregulated lncRNAs and mRNAs using Agilent Human lncRNAs/mRNAs microarrays.

2015-05-30 | GSE66731 | GEO

Comprehensive transcriptome profiling reveals multigene signatures in triple negative breast cancer

Project description:To develop and validate novel multigene signatures to facilitate individualized treatment of TNBC patients By integrating expression profiles of messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). We analysed 165 TNBC samples and 33 paired normal breast tissues using transcriptome microarrays. Tumor-specific mRNAs and lncRNAs were identified and correlated with patientsâ?? recurrence-free survival (RFS). Using Cox regression model, we built two multigene signatures incorporating mRNAs and lncRNAs. The prognostic and predictive accuracy of the signatures were tested in a training set of 165 TNBC patients and validated in another 101 TNBC patients.

2016-01-04 | E-GEOD-76250 | 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