Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MMTV-Myc tumor development in E2F-null backgrounds


ABSTRACT: 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. Ge

ORGANISM(S): Mus musculus

SUBMITTER: Eran Andrechek 

PROVIDER: E-GEOD-24594 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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