Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Tracing Enhancer Networks using Epigenetic Traits (TENET)


ABSTRACT: Although technological advances now allow increased tumor profiling, a detailed understanding of the mechanisms leading to the development of different cancers remains elusive. Our approach towards understanding the molecular events that lead to cancer is to characterize changes in transcriptional regulatory networks between normal and tumor tissue. Because enhancer activity is thought to be critical in regulating cell fate decisions, we have focused our studies on distal regulatory elements and transcription factors that bind to these elements. Using DNA methylation data, we identified more than 25,000 enhancers that are differentially activated in breast, prostate, and kidney tumor tissues, as compared to normal tissues. We then developed an analytical approach called TENET (Tracing Enha

ORGANISM(S): Homo sapiens

SUBMITTER: Suhn Rhie 

PROVIDER: E-GEOD-78913 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets