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SUMMARY:Genotypic Variability and the Quantitative Proteotype - Ruedi Aebe
 rsold\; ETH\, Zurich
DTSTART:20150924T120000Z
DTEND:20150924T130000Z
UID:TALK59819@talks.cam.ac.uk
CONTACT:Neil Bennett
DESCRIPTION:The question how genetic variability is translated into phenot
 ypes is fundamental in biology and medicine. Powerful genomic technologies
  now determine genetic variability at a genomic level and at unprecedented
  speed\, accuracy and (low) cost. To date the effects of genomic variabili
 ty on the expressed information of the cell has been mainly studied by tra
 nscript profiling.\n\nIn this presentation we will discuss emerging comput
 ational and quantitative proteomic technologies to relate genotypic variat
 ion to the proteome. Proteomic data to support such correlations need to b
 e quantitatively accurate\, highly reproducible across multiple measuremen
 ts and samples and generated at high throughput.  Ideally\, the data also 
 would provide information about spatial arrangement of proteins in the cel
 l. Data with these qualities can now be generated by the targeted proteomi
 c methods selected reaction monitoring (SRM) and\, at higher throughput\, 
 by SWATH-MS (1). \n\nWe will discuss the principles of these mass spectrom
 etric methods\, discuss the computational challenged they pose for data an
 alysis and demonstrate with selected applications\, using genetic referenc
 e strain compendia\, their ability to determine the effect of genetic vari
 ability on the quantitative proteome\, thus functionally connecting the ge
 nome to the proteome (2\,3).  \n\n\n1. Gillet LC\, Navarro P\, Tate S\, Ro
 est H\, Selevsek N\, Reiter L\, Bonner R\, Aebersold R. (2012) Targeted da
 ta extraction of the MS/MS spectra generated by data independent acquisiti
 on: a new concept for consistent and accurate proteome analysis (2012). Mo
 l Cell Proteomics 11:O111.016717. \n\n2. Picotti P\, Clément-Ziza M\, Lam
  H\, Campbell DS\, Schmidt A\, Deutsch EW\, Röst H\, Sun Z\, Rinner O\, R
 eiter L\, Shen Q\, Michaelson JJ\, Frei A\, Alberti S\, Kusebauch U\, Woll
 scheid B\, Moritz RL\, Beyer A\, Aebersold R.  (2013)  A complete mass-spe
 ctrometric map of the yeast proteome applied to quantitative tranalysis. N
 ature. 494(7436):266-70. \n\n3. Multilayered genetic and omics dissection 
 of mitochondrial activity in a mouse reference population (2014). Wu Y\, W
 illiams EG\, Dubuis S\, Mottis A\, Jovaisaite V\, Houten SM\, Argmann CA\,
  Faridi P\, Wolski W\, Kutalik Z\, Zamboni N\, Auwerx J\, Aebersold R. Cel
 l. 158(6):1415-30. doi: 10.1016/j.cell.2014.07.039.\n
LOCATION:CRUK CI Lecture Theatre
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