Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Real-time quantitative PCR analysis of ccRCC model rats

ABSTRACT: Carcinogen-induced ccRCC rat models of mRNA expression arrays were used to explore genes potentially associated with the destruction of pseudo capsule (PC).

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE255816 | GEO | 2024/02/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Real-time quantitative PCR analysis of ccRCC model rats III

Project description:Carcinogen-induced ccRCC rat models of mRNA expression arrays were used to explore genes potentially associated with the destruction of pseudo capsule (PC).

2024-02-17 | GSE255822 | GEO

Real-time quantitative PCR analysis of ccRCC model rats II

Project description:Carcinogen-induced ccRCC rat models of mRNA expression arrays were used to explore genes potentially associated with the destruction of pseudo capsule (PC).

2024-02-17 | GSE255820 | GEO

Real-time quantitative PCR analysis of ccRCC model rats

Project description:Real-time quantitative PCR analysis of ccRCC model rats

| PRJNA1076576 | ENA

Real-time quantitative PCR analysis of ccRCC model rats II

Project description:Real-time quantitative PCR analysis of ccRCC model rats II

| PRJNA1076582 | ENA

Real-time quantitative PCR analysis of ccRCC model rats III

Project description:Real-time quantitative PCR analysis of ccRCC model rats III

| PRJNA1076583 | ENA

Transcriptomic profiling of ccRCC nephrectomy samples by PCR-cDNAseq

Project description:Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer. Following primary tumour resection approximately 30% of patients experience disease recurrence associated with metastasis. To date, long-read RNA sequencing has not been applied to kidney cancer. Here, we used ONT long-read PCR-cDNAseq to profile the transcriptomes of ccRCC archival tumours, 6 of which were from patients who went on to relapse. Our results revealed a loss of immune infiltrate in tumours of patients who relapse. Moreover, thousands of novel isoforms were discovered, including a novel PD-L1 transcript encoding for the soluble version of the protein but having a longer 3'UTR than the currently annotated transcript. Finally, we have identified a novel non-coding gene that was over-expressed in patients who experience recurrence. Our data shows that ONT long-read PCR-cDNAseq can be used in archival tumour samples to comprehensively characterise tumour transcriptomes, and to reveal novel features that would have been missed by short-read RNAseq.

2023-09-04 | GSE242204 | GEO

Expression data from ccRCC specimens

Project description:To identify a therapeutic candidate target molecule for ccRCC, we analyzed the microRNA (miRNA) expression signatures in ccRCC clinical specimens. 9 matched pair (normal tissue and ccRCC tissue) plus 7 ccRCC tissue were analyzed for miRNA-microarray

2014-02-20 | E-GEOD-55138 | biostudies-arrayexpress

Proteomics analysis on SETD2 loss induced ccRCC formation

Project description:Patients with polycystic kidney disease (PKD) encounter a high risk of clear cell renal cell carcinoma (ccRCC), a malignant tumor with dysregulated lipid metabolism. SET domain–containing 2 (SETD2) has been identified as an important tumor suppressor gene in ccRCC. However, the role of SETD2 in tumorigenesis during the transition from PKD to ccRCC remains largely unexplored. Herein, we performed metabolomics, lipidomics, transcriptomics and proteomics with SETD2 loss induced PKD-ccRCC transition mouse model. To characterize biological responses triggered by SETD2 deletion during PKD-ccRCC transition at the protein level, we conducted global proteomics studies.

2023-10-31 | PXD038966 | Pride

Transcriptomic profiling of ccRCC nephrectomy samples by PCR-cDNAseq

Project description:Transcriptomic profiling of ccRCC nephrectomy samples by PCR-cDNAseq

| PRJNA1011977 | ENA

Expression data from ccRCC specimens

Project description:To identify a therapeutic candidate target molecule for ccRCC, we analyzed the microRNA (miRNA) expression signatures in ccRCC clinical specimens.

2014-02-20 | GSE55138 | 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