The Institute Colloquium: The 4th dimension of transcriptional networks: TIME
Date:
Monday, April 25, 2016 12:45 - 13:45
Speaker:
Gloria Corruzi (New York University)
Location:
Raiffeisen Lecture Hall, Central Building
Series:
Institute colloquium
Contact:
ELLER Arinya
Transcriptional networks operate dynamically in vivo, but capturing and modeling these dynamics is an experimental and computational challenge. This presentation focuses on time building predictive network models based on time-series transcriptome data, and perturbing transcription networks in time. The outcome is a dynamic hit-and-run transcription model with relevance across eukaryotes. In this talk, Dr. Gloria Coruzzi will probe dynamic transcription networks, computationally and experimentally. Using a machine learning approach called Dynamic Factor Graph, fine-scale time-series transcriptome data is used to infer network models that were validated both in silico using left-out data, and experimentally. To explore the molecular basis for underlying dynamic transcription, a cell-based assay was developed to follow the mode-of-action of a transcription factor (TF) within 1 minute of nuclear entry. This uncovered genome-wide support for a hit-and-run mechanism of transcription, in which de novo transcription initiated by a transient TF hit persists after the TF has run.