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SUMMARY:The journey from metabolites to mechanisms
DTSTART:20170403T133000
DTEND:20170403T143000
DTSTAMP:20260427T205002Z
UID:017d0fc833b43dc923e254725753061e53e38d7b38df8e71034725a7
CATEGORIES:Conferences - Seminars
DESCRIPTION:Nicola ZAMBONI Institute of Molecular Systems Biology\, ETH Z
 ürich\, Switzerland\nSEMINAR SERIES :  Trends in Physiology and Metaboli
 sm (Bio-682)\n\nAbstract:\nMetabolism plays a pivotal role in all cellular
  processes by providing building blocks and energy for biosynthesis and pa
 rticipating in decision-making. In many biomedical areas such as oncology\
 , toxicology\, immunology\, stem cell research\, etc.\, metabolism is curr
 ently regarded as a key driver and a differentiating factor to be exploite
 d in diagnostics and selective therapy. Historically\, the discovery of ab
 errant metabolism has been mainly accomplished at the genetic level\, e.g.
  by identifying peculiar enzyme mutations in primary material\, by finding
  upregulation of atypical (embryonic) isoforms at expression level\, or sc
 reening for sensitivity to RNAi in cell lines or mice. Albeit highly valua
 ble\, these approaches suffer from intrinsic limitations in scope and sens
 itivity. \n \nOur lab approaches metabolism bottom-up\, which means from
  a functional perspective. Experimentally\, we rely heavily on metabolomic
 s and the analysis of metabolic fluxes by stable isotopic tracers. Both me
 tabolite and fluxes provide an integrated view of the metabolic network in
  action\, that emerges from the interplay of cellular components.\n \nOve
 r the past years\, we analyzed > 3’000 experiments (>850’000 samples) 
 in all of the aforementioned areas. Overall\, it has become straightforwar
 d to profile large cohorts and discover metabolic alterations in virtually
  any study. This massive capacity unlocked a realm of novel opportunities.
  Fueled by this wealth of information\, our research focus shifted from da
 ta generation to functional interpretation of the results\, i.e. to the ge
 neration of testable hypotheses from high-throughput metabolomics. In my l
 ecture\, I’ll discuss the state-of-the-art in bottom-up analysis of meta
 bolism and illustrate our current efforts to abridge data to mechanisms.\n
  \n\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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