Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

11 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from RCC cell lines to study metastasis progression

ABSTRACT: This study investigates the molecular signatures that drive Renal Cell Carcinoma (RCC) metastatic conversion using the metastatic (LM2) and non-metastatic (SN12C) RCC cell lines. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process. To identify differences in gene expression associated with increasing metastatic activity, we subjected the three RCC cell types, SN12C, LM1, LM2 to gene expression profiling.

ORGANISM(S): Homo sapiens

SUBMITTER: Venkata Thodima

PROVIDER: E-GEOD-23627 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Expression data from RCC cell lines to study metastasis progression

Project description:This study investigates the molecular signatures that drive Renal Cell Carcinoma (RCC) metastatic conversion using the metastatic (LM2) and non-metastatic (SN12C) RCC cell lines. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process.

2010-08-15 | GSE23627 | GEO

Study the role of miRNAs in metastasis progression of RCC cell lines

Project description:This study investigates for the miRNAs that drive or regulates Renal Cell Carcinoma (RCC) metastatic progression using two different RCC cell lines, the metastatic (LM2 and LM1) and non-metastatic (SN12C). The experiment is designed with three RCC cell lines one non-metastatic (SN12C) and two metastatic (LM1 and LM2). Each cell line has two biological replicates (exception SN12C has 3 replicates)

2010-08-19 | E-GEOD-23690 | biostudies-arrayexpress

Array comparative genomic hybridization data from RCC cell lines to study metastasis progression

2010-08-17 | GSE23633 | GEO

Study the role of miRNAs in metastasis progression of RCC cell lines

2010-08-19 | GSE23690 | GEO

Expression data from RCC paired tumors to study metastasis progression

Project description:This study investigates the molecular signatures that drive Renal Cell Carcinoma (RCC) metastatic conversion using the 16 paired Human tumor samples. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process. To identify differences in gene expression associated with increasing metastatic activity, we subjected 16 paired human tumor samples to gene expression profiling.

2010-08-15 | E-GEOD-23629 | biostudies-arrayexpress

Array comparative genomic hybridization data from RCC cell lines to study metastasis progression

Project description:This study investigates the molecular signatures that drive Renal Cell Carcinoma (RCC) metastatic conversion using the metastatic (LM2) and non-metastatic (SN12C) RCC cell lines. Two-condition experiment, RCC Cell lines vs. Reference human genome DNA from normal male.

2010-08-17 | E-GEOD-23633 | biostudies-arrayexpress

Tumor-stroma interaction between RCC cell lines and lung stroma in mouse xenografts

Project description:The leading cause of death in human patients with metastatic renal cell carcinoma (RCC) and malignant cancer in general is the dissemination of the primary tumor to secondary sites. The mechanisms by which RCC colonize the lung microenvironment during metastasis remain largely unknown. To investigate the mechanisms of lung colonization by tumor cells, we grafted human RCC cells with different lung metastatic activities in mice. Gene expression profiling of the mouse lung stromal compartment revealed a gene signature enriched for neutrophil-specific functions, induced preferentially by poorly metastatic cells. Analysis of the gene expression patterns in tumor cells and clinical specimens showed an inverse correlation between metastatic activity and the levels of a number of chemokines, including CXL5 ad IL8. Enforced depletion of CXCL5 and IL8 in tumor cells allowed us to establish a functional link between lung neutrophil infiltration, the secretion of chemokines by cancer cells and metastatic activity. Finally, we showed that human neutrophils displayed a higher cytotoxic activity toward poorly metastatic cells relative to highly metastatic cells. Together, these results support a model in which neutrophils recruited to the lung by tumor-secreted chemokines build an antimetastatic barrier and loss of those neutrophil chemokines in tumor cells is a critical rate-limiting step during lung metastatic seeding. Total 12 samples are analysed from two cell lines (SN12C and LM2) and Normal tissue. There are four biological replicates for each cell line and four biological replicates from normal lung tissue (as reference).

2012-05-29 | E-GEOD-29688 | biostudies-arrayexpress

Expression data from RCC paired tumors to study metastasis progression

2010-08-15 | GSE23629 | GEO

Analysis of blood myelomonocytic cells from RCC patients

Project description:Myelomonocytic cells (i.e., monocytes or macrophages) play a key role in tumor progression as revealed by numerous mice tumor model studies. However, their contribution in human tumor progression is not well-studied. Using Renal Cell Carcinoma (RCC) as a model for human cancer, we performed a transcriptomal profiling of blood monocytes from RCC patients to investigate the contribution of these cells in cancer progression. As compared to monocytes from healthy donors (Mo), transcriptome analysis of monocytes from RCC patients (RCC-Mo) showed a distinct gene expression signature consisting of cytokines, chemokines and various inflammation-related genes. Validation of these genes by qPCR as well as other functional assays indicated RCC-Mo possess an inflammatory and tumor promoting phenotype. Blood monocytes from RCC patients (with early or metastatic disease) or healthy donors (controls) were isolated, and then differential gene expression was detected with Limma.

2014-10-30 | E-GEOD-38424 | biostudies-arrayexpress

Tumor-stroma interaction between RCC cell lines and lung stroma in mouse xenografts

2012-05-30 | GSE29688 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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