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SUMMARY:Integrative Network Biology and Cellular Information Processing - 
 Rune Linding (ICR)
DTSTART:20101129T160000Z
DTEND:20101129T170000Z
UID:TALK27892@talks.cam.ac.uk
CONTACT:Florian Markowetz
DESCRIPTION:Biological systems are composed of highly dynamic and intercon
 nected molecular networks that drive biological decision processes. The go
 al of systems biology is to describe\, quantify and predict the informatio
 n flow and functional behaviour of living systems in a formal language and
  with an accuracy that parallels our characterisation of other physical sy
 stems such as Jumbo-jets. Decades of targeted molecular and biological stu
 dies have led to numerous pathway models of developmental and disease rela
 ted processes. However\, so far no global models have been derived from pa
 thways\, capable of predicting cellular trajectories in time\, space or di
 sease. The development of high- throughput methodologies has further enhan
 ced our ability to obtain quantitative genomic\, proteomic and phenotypic 
 readouts for many genes/proteins simultaneously. Here\, I will discuss how
  it is now possible to derive network models through computational integra
 tion of systematic\, large-scale\, high- dimensional quantitative data set
 s. I will review our latest advances in methods for exploring phosphorylat
 ion networks. In particular I will discuss how the combination of quantita
 tive mass- spectrometry\, systems-genetics and computational algorithms (N
 etworKIN [1] and NetPhorest [4]) made it possible for us to derive systems
 -level models of JNK and EphR signalling networks [2\,3]. Finally\, I shal
 l discuss work we have done in comparative phospho-proteomics and network 
 evolution [5\,6].\n\nReferences: \nhttp://www.lindinglab.org \n# Linding e
 t al.\, Cell 2007 \n# Bakal et al.\, Science 2008 \n# Jørgensen et al.\, 
 Science 2009 \n# Miller et al.\, Science Signaling 2008 \n# Tan et al.\, S
 cience Signaling 2009 \n# Tan et al.\, Science 2009
LOCATION:Cancer Research UK Cambridge Research Institute\, Lecture Theatre
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