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Links from GEO DataSets

Items: 12

1.

MMTV-Myc tumor development in E2F-null backgrounds

(Submitter supplied) Advances in genomic signatures have begun to dissect breast cancer heterogeneity, and application of these signatures will allow the prediction of which pathways are important in tumor development. Here we used genomic signatures to predict involvement of specific E2F transcription factors in Myc-induced tumors. We genetically tested this prediction by interbreeding Myc transgenics with mice lacking various activator E2F alleles. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Dataset:
GDS4094
Platform:
GPL8321
80 Samples
Download data: CEL, CHP
Series
Accession:
GSE24594
ID:
200024594
2.
Full record GDS4094

E2F transcription factor knockdown effect on Myc-induced mammary tumors

Analysis of MMTV-Myc tumors generated in an E2F wild-type, E2F1 null, E2F2 null or E2F3 heterozygous background. E2Fs are Myc transcriptional activators shown to regulate proliferation and apoptosis. Results provide insight into role of E2Fs in Myc-induced breast cancer.
Organism:
Mus musculus
Type:
Expression profiling by array, count, 4 genotype/variation sets
Platform:
GPL8321
Series:
GSE24594
80 Samples
Download data: CEL, CHP
DataSet
Accession:
GDS4094
ID:
4094
3.

Mouse Tumor Dataset

(Submitter supplied) previously published mouse data Pubmed IDS: 12754511, 12839964 Keywords: disease state analysis
Organism:
Mus musculus
Type:
Expression profiling by array
Platforms:
GPL75 GPL76
56 Samples
Download data
Series
Accession:
GSE3158
ID:
200003158
4.

Her2/Neu tumorigenesis and metastasis is regulated by E2F transcription factors

(Submitter supplied) HER2 / Neu is amplified and overexpressed in a large proportion of human breast cancers, but the signaling pathways that contribute to tumor development and metastatic progression are not completely understood. Using gene expression data and pathway signatures we predicted a role for activator E2F transcription factors in Neu induced tumors. This was genetically tested by interbreeding Neu transgenics with knockouts of the three activator E2Fs. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL8321
60 Samples
Download data: CEL
Series
Accession:
GSE42533
ID:
200042533
5.

Myc Activation in Beta Cells in vivo

(Submitter supplied) Deregulated expression of the Myc transcription factor is a frequent causal mutation in human cancer. Thousands of putative Myc target genes have been identified in in vitro studies, indicating that Myc exerts highly pleiotropic effects within cells and tissues. However, the complexity and diversity of Myc gene targets has confounded attempts at identifying which of these genes are the critical targets mediating Myc-driven tumorigenesis in vivo. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Dataset:
GDS2025
Platform:
GPL81
27 Samples
Download data: CEL
Series
Accession:
GSE4356
ID:
200004356
6.
Full record GDS2025

Myc activation and deactivation effect on pancreatic islet beta cells

Analysis of transgenic pancreatic islet beta cells after activation of Myc for up to 24 hours or activation for 21 days followed by deactivation for up to 6 days. Results provide insight into the molecular basis of Myc-driven tumorigenesis in vivo.
Organism:
Mus musculus
Type:
Expression profiling by array, transformed count, 2 other, 9 protocol sets
Platform:
GPL81
Series:
GSE4356
27 Samples
Download data: CEL
DataSet
Accession:
GDS2025
ID:
2025
7.

Heterogeneity in MYC-Induced Mammary Tumors Determines Outcomes Following Loss of Myc Activity

(Submitter supplied) We used microarrays to compare gene expression profiles between mouse mammary tumors initiated by Myc to those that have escaped Myc oncogene dependence.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL8321
75 Samples
Download data: CEL
Series
Accession:
GSE22406
ID:
200022406
8.

Expression data from an involution time course in wild type and E2F3 +/- mice.

(Submitter supplied) We have compared an involution timecourse for wild type and E2F3 heterozygous mice on the Operon 3.0 platform. Three mice were taken for each genotype at each timepoint (Involution day 0, 1, 2, 3 and 4) and RNA was prepared from the mammary glands. The RNA from each mouse was pooled and run as an individual sample. Keywords: Mouse Mammary Gland RNA
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL3222
30 Samples
Download data: GPR, TXT
Series
Accession:
GSE11066
ID:
200011066
9.

Expression Data from wild type and E2F4 null MEFs

(Submitter supplied) We have used primary MEFs derived from wild type and E2F4 null mice growing asynchrounously in serum to generate a signature for E2F4 pathway activation. 10 wild type and 10 E2F4 null samples were each assayed using the Affymetrics Mouse Genome 430A 2.0 array. Keywords: Primary MEFs from wild type and E2F4 null mice
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL8321
20 Samples
Download data: CEL
Series
Accession:
GSE11039
ID:
200011039
10.

Revisiting Global Gene Expression Analysis

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL11154 GPL16043
8 Samples
Download data: CEL, TXT
Series
Accession:
GSE40784
ID:
200040784
11.

Revisiting Global Gene Expression Analysis (RNA-Seq)

(Submitter supplied) Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
2 Samples
Download data: TXT
12.

Revisiting Global Gene Expression Analysis (Microarray)

(Submitter supplied) Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16043
6 Samples
Download data: CEL
Series
Accession:
GSE40782
ID:
200040782
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