Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA154901 | ENA |
REPOSITORIES: ENA
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Project description:This SuperSeries is composed of the following subset Series: GSE32353: Expression data from E2f7/E2f8 and E2f1/E2f2/E2f3 null and wild type liver along with E2f7/E2f8 null and wild type trophoblast giant cells (nCounter) GSE32354: Expression data from E2f7/E2f8 and E2f1/E2f2/E2f3 null liver (Affymetrix) Refer to individual Series
2012-08-31 | E-GEOD-32355 | biostudies-arrayexpress
Project description:Expression data from E2f7/E2f8 and E2f1/E2f2/E2f3 null and wild type liver along with E2f7/E2f8 null and wild type trophoblast giant cells (nCounter)
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2011-12-29 | E-GEOD-24594 | biostudies-arrayexpress
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Project description:Expression data from lenses triply deficient for E2F1, E2F2, and E2F3 transcription factors
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Project description:The E2F family consists of transcriptional repressors and activators that control cell proliferation. In the classic paradigm of cell cycle regulation, the three activators, E2F1, E2F2 and E2F3, are invariably depicted as the final components of a CDK/Rb signaling cascade that executes the transcriptional program necessary to commit cells to enter S phase. Unexpectedly, we find through analysis of Affymetrix expression array data that mature lens epithelial cells deficient for E2F1-3 fail to repress cell cycle-regulated genes (and other targets of E2F) and that this corresponds with subsequent apoptosis and cellular collapse in the lens.
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Project description: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. Tumor latency decreased in the E2F1 mutant background and significantly increased in both the E2F2 and E2F3 mutants. Investigating the mechanism behind these changes revealed a reduction in apoptosis in the E2F1 knockout strain. E2F2 and E2F3 mutant backgrounds alleviated Myc effects on the mammary gland, reducing the susceptible tumor target population. Gene expression data from tumors revealed that the E2F2 knockout background resulted in fewer tumors with EMT, corresponding with a reduction in probability of Ras activation. In human breast cancer we found that a low probability of E2F2 pathway activation was associated with increased relapse-free survival time. Together these data illustrate the predictive utility of genomic signatures in deciphering the heterogeneity within breast cancer and illustrate the unique genetic requirements for individual E2Fs in mediating tumorigenesis in both mouse models and human breast cancer.
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