Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Methylation profile of latent metastatic (Lat-M) cells from clear cell renal cell carcinoma (ccRCC)

ABSTRACT: Lat-M cells were derived using ccRCC cell line 769-P (Parental, PA) cells to investigate determinants of metatatic latency in ccRCCs. We profiled methylation status of PA and LatM cells to understand epigenetic regulation of metastatic latency

ORGANISM(S): Homo sapiens

PROVIDER: GSE212176 | GEO | 2023/08/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression profile of latent metastatic (Lat-M) cells from clear cell renal cell carcinoma (ccRCC)

Project description:Lat-M cells were derived using ccRCC cell line 769-P (Parental, PA) cells to investigate determinants of metatatic latency in ccRCCs. We profiled PA and LatM cells to understand gene expression in metastatic latency

2023-08-31 | GSE212175 | GEO

Methylation profile of latent metastatic (Lat-M) cells from clear cell renal cell carcinoma (ccRCC)

Project description:Methylation profile of latent metastatic (Lat-M) cells from clear cell renal cell carcinoma (ccRCC)

| PRJNA874359 | ENA

Transcriptomic analysis of HCC1954 Parental(Pa), synchronous (S-BM), latent residual (Lat) or metachronous (M-BM) brain metastases cells

Project description:We did the transcriptomic profiling of HCC1954 Parental(Pa), synchronous (S-BM), latent residual (Lat) or metachronous (M-BM) brain metastases cells

2022-07-27 | GSE180098 | GEO

Gene expression profile of latent metastatic (Lat-M) cells from clear cell renal cell carcinoma (ccRCC)

Project description:Gene expression profile of latent metastatic (Lat-M) cells from clear cell renal cell carcinoma (ccRCC)

| PRJNA874358 | ENA

RNAseq of ccRCC cells with RARRES2, CMKLR1, or GPR1 knocked out

Project description:Chemerin is an oncogenic adipokine in ccRCC, and signals through CMKLR1 or GPR1 receptors. In order to determine the gene expression pathways controlled by chemerin (RARRES2), and what each receptor does, we knockout the three genes in 769-P ccRCC cells and performed RNAseq.

2024-04-11 | E-MTAB-14016 | biostudies-arrayexpress

cis-regulatory landscape in ccRCC [tissue]

Project description:VHL loss is the most common genetic alteration event in ccRCC, but its effect on epigenetic landscape has not been elucidated previously. By performing histone modifications (H3K27ac, H3K4me1, H3K4me3) from ccRCC cell lines, we describe the genome-wide cis-regulatory landscapes of VHL-deficient ccRCC tumors. We show that ccRCCs exhibit a pervasive gain of enhancers around hypoxic and metabolic transcriptional targets.

2017-08-22 | GSE86091 | GEO

cis-regulatory landscape in ccRCC [cell lines]

2017-08-22 | GSE86087 | GEO

Genome-wide microRNA expression analysis of clear cell Renal Cell Carcinoma by next generation deep sequencing

Project description:MicroRNAs (miRNAs), non-coding RNAs regulating gene expression, are frequently aberrantly expressed in human cancers. Next-generation deep sequencing technology enables genome-wide expression profiling of known miRNAs and discovery of novel miRNAs at unprecedented quantitative and qualitative accuracy. Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). The 22 ccRCCs patients belonged to 3 prognostic sub-groups, i.e. Those without disease recurrence, with recurrence and with metastatic disease at diagnosis.

2012-06-21 | E-GEOD-37616 | biostudies-arrayexpress

Clear cell renal cell carcinoma (ccRCC) samples

Project description:To select signatures of ccRCC, 265 ccRCC samples were obtained from the Van Andel Research Institute. Gene expression profiles of 265 samples were determined using the HG-U133_Plus_2 platform.

2017-08-08 | GSE73731 | GEO

HIF-1α and HIF-2α differently regulate tumour development, metabolism and inflammation of clear cell renal cell carcinoma in mice

Project description:Mutational inactivation of VHL is the earliest genetic event in the majority of ccRCCs, leading to activation of the HIF-1α and HIF-2α transcription factors. While correlative studies of human ccRCCs and functional studies using human ccRCC cell lines have implicated HIF-1α as an inhibitor and HIF-2α as a promoter of aggressive tumour behaviours, their roles in tumour onset have not been functionally addressed. Using an autochthonous ccRCC model, we show genetically that Hif1a is necessary for tumour formation whereas Hif2a deletion has only minor effects on tumour initiation and growth. Both HIF-1α and HIF-2α are necessary for the clear cell phenotype. Transcriptomic and proteomic analyses revealed that HIF-1α regulates glycolysis while HIF-2α regulates genes associated with lipoprotein metabolism, ribosome biogenesis and E2F and MYC transcriptional activities. Deficiency of HIF-2α increased CD8+ T cell infiltration and activation. These studies reveal different functions of HIF-1α and HIF-2α in ccRCC. SIGNIFICANCE The roles of HIF-1α and HIF-2α in ccRCC pathogenesis remain unclear. Using a mouse genetic approach we show that HIF-1α but not HIF-2α is important for tumour formation, contrary to predictions from studies of human ccRCC. We show that HIF-1α and HIF-2α transcriptionally regulate different aspects of metabolism and identify HIF-2α as a suppressor of immune cell infiltration and activation.

2020-07-02 | PXD016630 | Pride

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