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SUMMARY:Systems-based\, quantitative analysis of the regulatory network  m
 ediating fat cell differentiation
DTSTART:20131128T121500
DTEND:20131128T131000
DTSTAMP:20260601T115657Z
UID:edc8bb21e60f294939d8885c4521c08998cd5023aac0b20cd6b01014
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Bart Deplancke\nAdipogenesis is highly relevant both fro
 m a medical research perspective and as a prime model of cellular differen
 tiation.\nIn a first part of my talk\, I will present my lab’s efforts t
 o examine whether the current adipogenic regulatory model is exhaustive. T
 o this end\, we systematically overexpressed individual transcription fact
 ors (TFs) in mouse pre-adipocytes and probed their effect on fat cell diff
 erentiation. We identified 26 mostly novel pro-adipogenic TFs (out of 734)
  and established the top candidate ZEB1 as a central regulator of in vitro
  and in vivo fat cell differentiation\, acting by directly targeting the m
 ajority of known early and late adipogenic transcriptional regulators.\nIn
  a second part\, I will introduce a novel targeted proteomics method that 
 we developed with the goal of deriving absolute abundance data for TFs. I 
 will show how we used these data together with binding energetics and chro
 matin state data to formulate a genome-wide DNA binding model for the adip
 ogenic master regulator PPARγ. Interestingly\, this model accurately expl
 ains the increase in PPARγ binding sites during the final differentiation
  stage despite a concurrent saturation in PPARγ copy number.\nIn the fina
 l part\, I will summarize our findings regarding the molecular role of co-
 repressors during adipogenesis. Specifically\, I will show how some of the
 se co-repressors function as gatekeepers within the adipogenic regulatory 
 network as they directly fine-tune the transcription of pro- and anti-adip
 ogenic genes.
LOCATION:SV 1717A http://plan.epfl.ch/?lang=en&room=sv+1717+a
STATUS:CONFIRMED
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