Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

50 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profiles of IRF-1 silenced ovarian cancer cell lines

ABSTRACT: Ovarian cancer cells treated with CDDP showed up-regulation of IRF-1 and IRF-7. The expression of putative IRF-1 target genes was modulated. CDDP triggered nuclear translocation of IRF-1 and IRF-1 silencing re-orchestrated the expression profiles of CDDP treated cells. Using microarrays, we evaluated the expression profiles of IRF-1 silenced SK-OV-3.

ORGANISM(S): Homo sapiens

SUBMITTER: Raffaele Calogero

PROVIDER: E-GEOD-38551 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

The transcriptional response of ovarian cancer cells to treatment with cisplatin (CDDP)

Project description:The transcriptional response to CDDP of three ovarian cancer cell lines was studied. These lines show different genetic profiles and display different susceptibilities to CDDP. The time and doses that resulted in the apoptotic death of each cell line was identified and used to study the expression profiles associated to CDDP-induced cell death in each cell line. CDDP: cis-diamminedichloroplatinum(II) In order to elucidate the mechanism of CDDP dependent cell susceptibilities to drugs, the transcriptional response of the three ovarian cancer cell lines to CDDP were studied by microarray based transcription profiling

2013-12-31 | E-GEOD-38545 | biostudies-arrayexpress

Transcriptional response of ovarian cancer cell lines to HGF and CDDP

Project description:HGF sensitizes ovarian cancer cells to chemotherapeutics, e.g. cisplatin (CDDP), through a signaling cascade activated by its MET oncogene encoded receptor and transduced by the p38MAPK. This cascade results in the regulation of a common set of transcripts in three ovarian cancer cell lines, with different genetic profiles and susceptibility to drugs. In order to elucidate the mechanism of HGF dependent cell sensitization to drugs, the transcriptional response of the three ovarian cancer cell lines to HGF and CDDP were studied by microarray based transcription profiling

2013-12-31 | E-GEOD-24589 | biostudies-arrayexpress

Enhanced cisplatin therapy for ovarian cancer cell lines

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2013-12-31 | E-GEOD-24590 | biostudies-arrayexpress

Expression profiles of CSE1L silenced ovarian cancer cell lines

Project description:Knocking down of CSE1L made ovarian cancer cells, but not other cancer and normal cell lines, sensitized to cisplatin and triggered apoptosis. The nuclear localization in ovarian cancer cells suggested that CSE1L might primarily regulate transcription. . Using microarrays, we evaluated the expression profiles of CSE1L silenced SK-OV-3 and TOV-21G cells

2013-12-31 | E-GEOD-24429 | biostudies-arrayexpress

Transcriptional profiles of MET transformed osteoblast clones (MET-HOB) and mesenchymal stem cells (MSC) where osteoblast differentiation was induced

Project description:The osteogenic differentiation process consists in a well-coordinated multi-step sequence of events, in which each stage is characterized by the expression of distinct protein markers, as well as by individual morphological features. In order to precisely identify the step at which cells are permissive to MET-driven transformation, we used expression profiling. We compared the transcriptional profiles of MET-HOB and MSC cells where osteoblast differentiation was induced. Using microarrays, we evaluated the expression profiles of MET-HOB and MSC cells where osteoblast differentiation was induced, by culturing cells in the presence of ascorbic acid, α-glycerophosphate and dexamethasone for 7, 14 and 21 days

2013-02-28 | E-GEOD-28205 | biostudies-arrayexpress

Expression profiles osteosarcoma cell lines and MET transformed osteoblast clones

Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and osteosarcoma cell lines were compared. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays

2013-02-28 | E-GEOD-28252 | biostudies-arrayexpress

Expression profiles of human primary osteoblasts (HOB) and MET transformed osteoblast clones

Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and parental HOBs were compared. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays

2013-02-28 | E-GEOD-28256 | biostudies-arrayexpress

Human Breast Tumor Cored Sample mRNA Array

Project description:An eight sample cohort of primary human breast cancer sample total RNA gene expression analysis. Illumina HumanRef-8 v2 11223162_B Total RNA was isolated from tumor cell dense regions of fresh frozen primary breast cancer samples.

2012-06-14 | E-GEOD-38708 | biostudies-arrayexpress

Classifying distinct grades of human non-alcoholic fatty liver disease employing a systems biology approach

Project description:With an estimated prevalence of about 30% in western countries non-alcoholic fatty liver disease (NAFLD) is a major public health issue [PMID: 18956290]. NAFLD is associated with the metabolic syndrome of insulin resistance, obesity, glucose intolerance. Although many studies are pointing to an induction of insulin resistance by NAFLD causality between both phenotypes is not fully clarified. Furthermore, mechanisms leading to strongly differing progression of NAFLD have to be elucidated which range from mild steatosis up to severe steatohepatitis. Steatohepatitis might even result in liver cirrhosis and hepatocellular carcinoma. Additional complexity is introduced into the understanding of the disease by recent studies providing evidence for a direct development of carcinoma from steatosis without the formerly assumed intermediary phase of cirrhosis. Here, we investigate liver samples from patients with varying severities of steatosis in an integrative approach employing transcriptomics, serum biomarker profling, metabolomics data and systems biology models. Total RNA obtained from hepatocytes derived from nine obese patients with distinct grades of steatosis. This dataset is part of the TransQST collection.

2015-11-01 | E-GEOD-46300 | biostudies-arrayexpress

Genome-wide analysis of endocytosis inhibition on BMP-2 induced gene expression in C2C12 cells

Project description:Analysis of BMP-2 induced gene expression of C2C12 cells treated with the endocytosis inhibitor dynasore to identify gene expression profiles which are sensitive to endocytosis inhibition. Our data highlight the importance of endocytosis for transmission of an extracellular BMP-2 signal into the nucleus to activate a transcriptional gene network Total RNA obtained from C2C12 cells stimulated with BMP-2 together with the endocytosis inhibitor dynasore or DMSO as control compared to unstimulated cells treated with dynasore or DMSO alone.

2012-02-16 | E-GEOD-29373 | biostudies-arrayexpress

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