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DTSTART:20160327T030000
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DTSTART:20161030T020000
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DTSTAMP:20260429T153812Z
UID:55488772a3474773468512@ist.ac.at
DTSTART:20160425T124500
DTEND:20160425T134500
DESCRIPTION:Speaker: Gloria Corruzi\nAbstract: Transcriptional networks ope
 rate dynamically in vivo\, but capturing and modeling these dynamics is an
  experimental and computational challenge. This presentation focuses on ti
 me – building predictive network models based on time-series transcriptom
 e data\, and perturbing transcription networks in time. The outcome is a d
 ynamic “hit-and-run” transcription model with relevance across eukaryote
 s.\nIn this talk\, Dr. Gloria Coruzzi will probe dynamic transcription net
 works\, computationally and experimentally. Using a machine learning appro
 ach called Dynamic Factor Graph\, fine-scale time-series transcriptome dat
 a is used to infer network models that were validated both in silico using
  left-out data\, and experimentally. To explore the molecular basis for un
 derlying dynamic transcription\, a cell-based assay was developed to follo
 w the mode-of-action of a transcription factor (TF) within 1 minute of nuc
 lear entry. This uncovered genome-wide support for a “hit-and-run” mecha
 nism of transcription\, in which de novo transcription initiated by a tran
 sient TF “hit” persists after the TF has “run”.
LOCATION:Raiffeisen Lecture Hall\, Central Building\, ISTA
ORGANIZER:aeller@ist.ac.at
SUMMARY:Gloria Corruzi: The Institute Colloquium: The 4th dimension of tran
 scriptional networks: TIME
URL:https://talks-calendar.ista.ac.at/events/564
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