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SUMMARY:Deciphering mechanisms regulating cell growth and homeostasis with
  genome-scale in silico models - Dr Nathan Lewis\, Harvard Medical School
DTSTART:20130311T143000Z
DTEND:20130311T153000Z
UID:TALK43355@talks.cam.ac.uk
CONTACT:Dr Ireena Dutta
DESCRIPTION:We now live in a time that provides relatively inexpensive app
 roaches to measure a vast number of molecules and their interactions withi
 n many organisms. Next-generation sequencing is elucidating myriads of mut
 ations and enabling the routine quantification of all RNAs in cell line st
 udies. In addition\, proteomic efforts have found hundreds of 1000s of pro
 tein modifications in cancer cell lines. With this data deluge\, our curre
 nt challenge is to fully utilize and understand these “omic” measureme
 nts and gain novel mechanistic insights. Recent developments in systems bi
 ology now provide a whole cell view into how changes in the “omes” inf
 luence cell growth and homeostasis. Indeed\, using genome-scale in silico 
 models as a context for data analysis enables researchers to obtain molecu
 lar-level predictions.\n\nIn this talk\, I will show how mechanistic compu
 tational models are elucidating how the transcriptome\, proteome\, and gen
 ome evolve specific mechanisms to better regulate growth and homeostasis. 
 First\, I will show how microbes evolve their entire gene expression profi
 le to improve the growth rate when forced to grow in a non-native environm
 ent. Second\, enzyme specificity has evolved to cope with metabolic demand
 s and to optimize regulation. Third\, in silico models can be used with la
 rge scale genome-editing technologies and protein structures to predict ho
 w post-translational modifications are used to regulate metabolism. Finall
 y\, I will discuss how these approaches can be applied to discover the mec
 hanisms by which driver mutations and protein modifications in cancer can 
 regulate or dysregulate cell growth.\n
LOCATION:Sackler Lecture Theatre\, CIMR\,  Level 7
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