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Ganesh Kadamur

How do cells process information across time and space? Signal transduction has traditionally taken a protein centric view to address this question, however it is becoming clear that proteins are not the only carriers of information. Metabolites can also accomplish the task and dysregulation of either network can lead to diseased states. I am studying this using yeast and cancer cells as model systems, understanding how metabolic networks adapt to signal inputs across time scales allowing dynamic cellular behaviour. I combine biochemical, cell biology and protein engineering approaches to create tools that will help address this problem independent of biological systems. I was a member of the Ross lab at UT Southwestern Medical Center where I did my PhD work on G proteins, understanding the molecular underpinnings of G protein-enzyme regulation. Upon completion of my graduate studies, I am now a NCBS-inStem-Cambridge postdoctoral fellow associated with InStem, Bangalore and MRC Cancer Unit, Cambridge.

Ganesh Kadamur has added 1 preLight post

Large-scale analyses of human microbiomes reveal thousands of small, novel genes and their predicted functions

Hila Sberro, Nicholas Greenfield, Georgios Pavlopoulos, et al.

Selected by 23 January 2019

Ganesh Kadamur

Bioinformatics

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