Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of novel long non-coding RNAs as biomarker for patients with renal cell carcinoma

ABSTRACT: Long non-coding RNAs (lncRNA) play an important role in carcinogenesis, but knowledge of lncRNA expression in renal cell carcinoma is rudimental. We screened 32,183 lncRNA transcripts in malignant and adjacent normal renal tissue and determined dysregulation of approximately 4% of the lncRNA transcripts in clear cell renal cell carcinoma tissue. The distinct changes of lncRNA expression may be used to develop a non-invasive biomarker, because lncRNAs are detectable in bodily fluids.

ORGANISM(S): Homo sapiens

PROVIDER: GSE61763 | GEO | 2015/02/18

SECONDARY ACCESSION(S): PRJNA262078

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification of novel long non-coding RNAs as biomarker for patients with renal cell carcinoma

Project description:Long non-coding RNAs (lncRNA) play an important role in carcinogenesis, but knowledge of lncRNA expression in renal cell carcinoma is rudimental. We screened 32,183 lncRNA transcripts in malignant and adjacent normal renal tissue and determined dysregulation of approximately 4% of the lncRNA transcripts in clear cell renal cell carcinoma tissue. The distinct changes of lncRNA expression may be used to develop a non-invasive biomarker, because lncRNAs are detectable in bodily fluids. Microarray experiments were performed to determine the expression of 32,183 lncRNA transcripts belonging to 17,512 lncRNAs in 15 corresponding normal and malignant renal tissues

2015-02-18 | E-GEOD-61763 | biostudies-arrayexpress

DPYS as a potential diagnostic biomarker in hereditary and sporadic PRCC2

Project description:Papillary renal cell carcinoma type 2 (PRCC2) is known to be very aggressive type of tumor without effictive therapy. Hereditary form of PRCC2 is caused by Fumarate Hydratase (FH) gene mutation that accompanied Hereditary Leiomyomatosis and Renal Cell Carcinoma (HLRCC) disorder. In sporadic form of PRCC2 the mutation of FH gene has not been reported. Both forms of tumors have the similar histopathological characteristics with poor survival prognosis. In this study, we profiled the gene expression of renal tumors and normal tissue from PRCC2 (hereditary and sporadic) patients in order to better understand commonalities and differences in the transcriptional landscape of PRCC2. Microarray gene expression profiling was performed on eight normal kidney tissue samples, five hereditary PRCC2 tumor tissue samples and 19 sporadic PRCC2 tumor tissue samples. Hereditary PRCC2 (HPRCC2) patients were confirmed by DNA sequencing of the FH gene.

2016-06-01 | E-GEOD-48352 | biostudies-arrayexpress

Transplant tissue specfic exosome platform for noninvasive monitoring of immunologic rejection [miRNA]

Project description:In transplantation, there is a critical need for non-invasive biomarker platforms for monitoring immunologic rejection. We hypothesized that transplanted tissues release donor specific exosomes into recipient circulation/ bodily fluids, and that the quantitation and profiling of their intra-exosomal cargoes would constitute a novel biomarker platform for monitoring rejection. We tested this hypothesis in a human into mouse xenogeneic islet transplant model, and validated the concept in clinical settings of islet and renal transplantation. In the xenogeneic model, islet transplant exosomes in recipient blood were quantified over long-term follow-up using anti-human leukocyte antigen (HLA) antibody that is only expressed on human islets (p=1.6x10-14). Transplant islet exosomes were purified using anti-HLA antibody conjugated beads and their cargoes contained bona fide islet endocrine hormone markers insulin, glucagon, and somatostatin. Rejection led to significant decrease in transplant islet exosome signal (p=4x10-15), along with distinct changes in its microRNA and proteomic profiles prior to appearance of hyperglycemia. In the clinical settings of islet (n=5) and renal (n=5) transplantation, donor exosomes with respective tissue specificity for islet β cells and renal epithelial cells were reliably characterized in recipient plasma over follow-up (up to 5 years; p=0.0001). Collectively, these findings demonstrate the biomarker potential of transplant exosome characterization for providing a non-invasive window into the conditional state of the transplant tissue.

2016-10-18 | GSE88845 | GEO

Transplant tissue specfic exosome platform for noninvasive monitoring of immunologic rejection [mRNA]

2016-10-18 | GSE88844 | GEO

cirDNA methylome analysis in prostate cancer

Project description:DNA modification profiling of circulating DNA (cirDNA) from plasma samples from prostate cancer patients (T2-3N0Mx), benign prostatic hyperplasia and control individuals Epigenetic differences are a common feature of many diseases, including cancer, and disease-associated changes have even been detected in bodily fluids. DNA modification studies in circulating DNA (cirDNA) may lead to the development of specific non-invasive biomarkers.

2012-07-10 | GSE36195 | GEO

DPYS as a potential diagnostic biomarker in hereditary and sporadic PRCC2

2016-06-01 | GSE48352 | GEO

The overall response of Paenibacillus larvae to bodily fluids of honeybee larvae (Apis mellifera).

Project description:Paenibacillus larvae, the causal agent of American Foulbrood disease (AFB), affects honeybee health worldwide. The present study investigates the transcriptional response of this Gram-positive, endospore-forming bacterium to bodily fluids from honeybee larvae. Four different conditions were evaluated with a loop design: sampling of in vitro grown P. larvae cultures one or four hours after addition of larval fluids or BHIT-broth (C1, T1, C4, T4).

2014-12-22 | GSE37481 | GEO

Intra-gene DNA methylation variability is a technically and clinically independent prognostic marker in women’s cancers

Project description:Differences in DNA methylation (DNAm) levels are amongst the earliest changes in human carcinogenesis, and are a hallmark of cancer, offering the potential for novel strategies to predict cancer biology and outcome. Hence, DNAm markings might provide a valuable lead for the development of DNA-based cancer biomarkers in tissue and bodily fluids. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 480,000 CpGs in a total of 221 samples, including 171 serous, 18 endometrioid, 14 clear cell, 9 mucinous and 9 other histological cancer subtypes. Bisulphite converted DNA from the 221 samples were hybridized to the Illumina Infinium 450k Human Methylation Beadchip

2015-08-13 | E-GEOD-72021 | biostudies-arrayexpress

Homo sapiens

Project description:LncRNA from metastatic clear cell renal cell carcinoma (ccRCC) compared with non-metastatic clear cell renal carcinoma

| PRJNA349174 | ENA

Discovery of glycoprotein biomarker candidates for lung cancer

Project description:Glycoproteomics Approach for Identifying Glycobiomarker Candidate Molecules for Tissue Type Classification of Non-small Cell Lung Carcinoma (Hirao et al., JPR 2014, PMID: 25244057). Re-searched original MS2 data using the latest database (UniprotKB) in 2017.

2018-09-01 | PXD007626 | JPOST Repository

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