Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription Profiling of Lung Adenocarcinomas of c-Myc-Transgenic Mice

ABSTRACT: The transcriptional regulator c-Myc is the most frequently deregulated oncogene in human tumors. Targeted overexpression of this gene in mice results in distinct types of lung adenocarcinomas. By using microarray technology, alterations in the expression of genes were captured based on a female transgenic mouse model in which, indeed, c-Myc overexpression in alveolar epithelium results in the development of bronchiolo-alveolar carcinoma (BAC) and papillary adenocarcinoma (PLAC). In this study, we analyzed exclusively the promoters of induced genes by different in silico methods in order to elucidate the c-Myc transcriptional regulatory network. Keywords: c-myc transgenic versus non-transgenic

ORGANISM(S): Mus musculus

PROVIDER: GSE10954 | GEO | 2008/05/31

SECONDARY ACCESSION(S): PRJNA107149

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of mouse lung adenocarcinomas of c-Myc-transgenics

Project description:The transcriptional regulator c-Myc is the most frequently deregulated oncogene in human tumors. Targeted overexpression of this gene in mice results in distinct types of lung adenocarcinomas. By using microarray technology, alterations in the expression of genes were captured based on a female transgenic mouse model in which, indeed, c-Myc overexpression in alveolar epithelium results in the development of bronchiolo-alveolar carcinoma (BAC) and papillary adenocarcinoma (PLAC). In this study, we analyzed exclusively the promoters of induced genes by different in silico methods in order to elucidate the c-Myc transcriptional regulatory network. Experiment Overall Design: For gene expression analysis, RNA was isolated from lung tissue of either 16 c-Myc-transgenic or 16 non-transgenic control female mice. Identical amounts of RNA from 4 individuals of one group were pooled, such that 4 pools of 4 mice per group could be analyzed. Each pool was analysed in one microarray experiment.

2008-06-18 | E-GEOD-10954 | biostudies-arrayexpress

Whole-genome oligonucleotide expression analysis of papillary serous ovarian adenocarcinomas

Project description:To demonstrate the use of a whole-genome oligonucleotide array to perform expression profiling on a series of microdissected late-stage, high-grade papillary serous ovarian adenocarcinomas to establish a prognostic gene signature correlating with survival and to identify novel survival factors in ovarian cancer. Advanced stage papillary serous tumors of the ovary are responsible for the majority of ovarian cancer deaths, yet the molecular determinants modulating patient survival are poorly characterized. We identify and validate a prognostic gene expression signature correlating with survival in a series of microdissected serous ovarian tumors.

2009-10-17 | GSE18520 | GEO

Transcription profiling of human papillary serous ovarian adenocarcinomas and HUVEC and OVCA429 cells lines treated with recombinant MAGP2 - SuperSeries

Project description:This SuperSeries is composed of the following subset Series:; GSE18373: Expression data of HUVEC and OVCA429 with recombinant MAGP2; GSE18520: Whole-genome oligonucleotide expression analysis of papillary serous ovarian adenocarcinomas Experiment Overall Design: Refer to individual Series

2009-10-23 | E-GEOD-18521 | biostudies-arrayexpress

Transcription profiling of human late-stage, high-grade papillary serous ovarian adenocarcinomas

2009-10-23 | E-GEOD-18520 | biostudies-arrayexpress

Expression profile of whole murine lung adenocarcinomas with or without overexpression of Snail

Project description:We used microarrays to study the changes in the transcriptional profile upon Snail overexpression in murine lung adenocarcinomas

2018-08-03 | GSE110871 | GEO

Expression data from BAC transgenic mice overexpressing Glo1

Project description:We generated mice with a transgenic BAC on a B6 background. The BAC contains Glo1, and the transgenic mice were found to overexpress Glo1. We performed a microarray on whole-brain RNA of adult mice to identify differentially expressed genes resulting from Glo1 overexpression.

2012-03-27 | GSE36819 | GEO

Transcriptomes of lung adenocarcinomas

Project description:Transcriptomes of lung adenocarcinomas

| PRJNA638137 | ENA

Transcriptomes of lung adenocarcinomas

Project description:Transcriptomes of lung adenocarcinomas

| PRJNA593979 | ENA

Transcriptomes of lung adenocarcinomas

Project description:We performed RNA-seq using 19 human surgically-resected lung adenocarcinomas to investigate of difference between EGFR-mutated and wild-type lung adenocarcinomas.

2020-02-25 | GSE141569 | GEO

Rewiring of human lung cell lineage and mitotic networks in lung adenocarcinomas

Project description:Naturally occurring genetic polymorphisms influence patterns of gene expression in normal tissues, and can provide a molecular view of the component cell lineages and signaling pathways responsible for normal tissue architecture. Analysis of the coordinated changes in this architecture that take place during tumor development can help to identify the functional roles of oncogenes or tumor suppressors and provide potential new therapeutic targets. We have applied a network analysis approach to a set of 92 normal human lung samples from cancer patients and their matched adenocarcinomas. We have identified networks associated with particular cell lineages (alveolar type 2 pneumocytes and Clara cells) in normal lung and document the changes in these networks that accompany transformation to adenocarcinomas. Expression of the transcription factor NKX2-1 (TTF1) is linked to surfactant protein markers of the alveolar type 2 lineage in normal and transformed lung cells, but its network is rewired in tumors to include pathways linked to cell growth such as glutaminase (GLS2). Analysis of mitotic networks revealed the presence of novel components such as the kinase VRK1 that are preferentially linked to the mitotic cycle in tumors but not in normal lung. We show that shRNA-mediated inhibition of VRK1 cooperates with inhibition of PARP signaling to inhibit growth of lung tumor cells. Targeting of genes that are recruited into tumor mitotic networks may provide a wider therapeutic window than that seen by inhibition of integral components of the mitotic machinery such as Aurora kinases. 87 lung adenocarcinomas and 92 adjacent uninvolved lung tissue samples, 85 matched pairs

2013-04-01 | E-GEOD-32665 | 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