Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Linc-UBC1 physically associates with polycomb repressive complex 2 (PRC2) and acts as a negative prognostic factor for lymph node metastasis and survival in bladder cancer

ABSTRACT: To identify aberrantly expressed long intergenic noncoding RNAs (lincRNAs) in bladder cancer tissues compared with normal adjacent tissues, we have employed microarray expression profiling as a discovery platform to identify lincRNAs that may play important roles in bladder cancer origin and progression. Samples of fresh frozen cancer tissues, together with normal adjacent tissues (3 cm away from the tumor), were obtained during surgical resection, and total RNA was extracted for microarray analysis. Expression of six mRNAs and lincRNAs (E2F1, CCNE2, CCNB1, lincRNA:chr1:205404014-205407007, lincRNA:chr7:130723313-130727663, lincRNA:chr4:15669186-15683175) from this signature was quantified in the same RNA samples by real-time PCR, confirming good quality of the microarray analysis. Data in the matrix are log2 transformed.

ORGANISM(S): Homo sapiens

PROVIDER: GSE45184 | GEO | 2013/03/15

SECONDARY ACCESSION(S): PRJNA193171

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression signatures for bladder cancer tissues and normal adjacent tissues

Project description:To identify aberrantly expressed long intergenic noncoding RNAs (lincRNAs) in bladder cancer tissues compared with normal adjacent tissues, we have employed microarray expression profiling as a discovery platform to identify lincRNAs that may play important roles in bladder cancer origin and progression. Samples of fresh frozen cancer tissues, together with normal adjacent tissues (3 cm away from the tumor), were obtained during surgical resection, and total RNA was extracted for microarray analysis. Expression of six mRNAs and lincRNAs (E2F1, CCNE2, CCNB1, lincRNA:chr1:205404014-205407007, lincRNA:chr7:130723313-130727663, lincRNA:chr4:15669186-15683175) from this signature was quantified in the same RNA samples by real-time PCR, confirming good quality of the microarray analysis. Data in the matrix are log2 transformed. Three pairs of fresh frozen bladder cancer tissues and corresponding normal adjacent tissues were used in the microarray analysis.

2013-03-15 | E-GEOD-45184 | biostudies-arrayexpress

Gene expression signatures for bladder cancer tissues and normal adjacent tissues

2014-09-22 | E-GEOD-61615 | biostudies-arrayexpress

Gene expression signatures for bladder cancer tissues and normal adjacent tissues

2014-09-22 | GSE61615 | GEO

Gene expression signatures for bladder cancer tissues and normal adjacent tissues.

Project description:To identify aberrantly expressed long intergenic noncoding RNAs (lincRNAs) in muscle-invasive bladder cancer tissues compared with normal adjacent tissues, we have employed microarray expression profiling as a discovery platform to identify lincRNAs that may play important roles in bladder cancer progression. Samples of fresh frozen cancer tissues, together with normal adjacent tissues (3 cm away from the tumor), were obtained during surgical resection, and total RNA was extracted for microarray analysis.

2017-12-31 | GSE100926 | GEO

Identification of Arabidopsis Long Intergenic Noncoding RNA regulated by RNA-dependent RNA polymerase 2 (RDR2)

Project description:RNA-dependent RNA polymerase 2 (RDR2) is a crucial regulator of RNA-directed DNA methylation (RdDM). Recentily RDR2 was reported to regulate expression of long intergenic noncoding RNAs. Here we used ATH lincRNA v1 expression arrays to compare lincRNA expression in inflorescence tissues of rdr2-1 and WT. Among the 4,634 lincRNAs detected we found that more than 34% of them were differentially expressed, including 676 lincRNAs that were up-regulated and 890 down-regulated in rdr2-1.

2011-08-06 | GSE30395 | GEO

Expression Profiling of Arabidopsis Long Intergenic Nongcoding RNA in Inflorescences, Leaves, and Roots

Project description:Long intergenic noncoding RNAs (lincRNA) transcribed from intergenic regions of eukaryotic genomes play important roles in key biological processes; yet, plant lincRNAs remain poorly characterized. Here we profiled lincRNA expression in inflorescences, leaves and roots using ATH lincRNA v1 array. we found 92% lincRNAs could be detected in at least 2 ATH lincRNA v1 arrays and majority of the lincRNAs were expressed at levels higher than those of pri-miRNAs but lower than those of mRNAs.Using a cut-off of 2-fold change, we identified 149 lincRNAs preferentially expressed in inflorescences, 232 in leaves and 164 in roots.

2011-08-06 | GSE30394 | GEO

Expression and regulation of lincRNAs during T cell development and differentiation

Project description:Although lincRNAs are implicated in regulating gene expression in various tissues, little is known about lincRNA transcriptomes in the T cell lineages. Here we identify 1,524 lincRNAs in 42 T cell samples from early T cell progenitors to terminally differentiated T helper subsets. Our analysis revealed highly dynamic and cell-specific expression patterns of lincRNAs during T cell differentiation. Importantly, these lincRNAs are located in genomic regions enriched for protein-coding genes with immune-regulatory functions. Many of these transcripts are bound and regulated by the key T cell transcription factors, T-bet, GATA3, STAT4 and STAT6. We demonstrate that the lincRNA LincR-Ccr2-5'AS, together with GATA3, is an essential component of a regulatory circuit in Th2-specific gene expression.

2013-09-23 | GSE48138 | GEO

Identification of Arabidopsis Long Intergenic Noncoding RNA regulated by RNA-dependent RNA polymerase 2 (RDR2)

2011-08-05 | E-GEOD-30395 | biostudies-arrayexpress

Expression Profiling of Arabidopsis Long Intergenic Nongcoding RNA in Inflorescences, Leaves, and Roots

2011-08-05 | E-GEOD-30394 | biostudies-arrayexpress

Next Generation Sequencing Transcriptomes of breast cancer

Project description:We performed high throughput transcriptome of breast cancer and normal tissues, identifying lincRNA associated molecular subtype with powerful capacity to distinct breast cancer population and predict prognosis. We also identified subtype-specific lincRNAs that may be a useful complement to intrinsic molecular subtype classification when divergence emerges among pathologists.Paired-end transcriptome sequencing were carried out on a cohort of 33 breast tissues from 11 groups including five breast cancer subtypes including luminal A (LA), luminal B (HER2 negative)(LB, HER2-), luminal B (HER2 positive) (LB, HER2+), HER2 and tripple negative breast cancer (TNB), adjacent noncancerous breast tissue (ANT, three samples for each subtype) and the complete normal breast tissues (three samples)

2017-09-06 | GSE71651 | GEO

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