Amoolya Singh

Computational & Life Sciences Fellow

B.S. Carnegie Mellon University
M.S., Ph.D. UC Berkeley
Postdoc EMBL-Heidelberg

 

you can also visit my webpage

 

A detailed understanding of how organisms respond to environmental stress requires knowledge of not only the genetics and physiology of stress responses, but also their dynamics and mechanisms of evolution. Humans, animals, plants, and microbes live in constantly changing environments under frequently adverse conditions. To survive, they must have sophisticated stress responses. These stress responses are carried out by complex gene regulatory networks that accurately sense the stress, choose the appropriate response (whether fight, flight, or non-violent resistance), and carry it out. However, because of the changing environment, the stress responses must also retain evolvability, i.e. the ability to cope with previously-unseen circumstances. Understanding this tradeoff between complexity and evolvability is a critical aspect of the challenge before us. To progress towards this ambitious goal, I focus on characterizing the mechanisms of evolution of stress responses, primarily in bacteria (with the labs of Bruce LevinRoberto Kolter, and Jim Fredrickson). More recently, I have been applying systems-level metaphors in order to understand the evolution of the immune system (with Rustom Antia) and the functioning of the endocrine system (with Desmond Mascarenhas).

 

 

Publications

Reduction of albuminuria in db/db mice by the novel agents nephrilin and anephril involves overlapping but distinct biochemical mechanisms
Singh BK, Singh AH, Mascarenhas D.
Submitted.

Discovering functional novelty in metagenomes: examples from light-mediated processes
Singh AH, Doerks T, Letunic I, Raes J, Bork P.
J Bacteriol. 2009 Jan;191(1):32-41.
Also see: Guest Commentary, J. Bact.191(1):20-22.

Modularity of stress response evolution 
Singh AH, Wolf DM, Wang P, Arkin AP.
Proc Natl Acad Sci U S A. 2008 May 21;105(21):7500-5. [Supp. Info.] [Code & Data
Also see: Editor's Choice, Science Signaling 1(23):ec216

Quantitative assessment of protein function prediction from metagenomics shotgun sequences 
Harrington ED, Singh AH, Doerks T, Letunic I, von Mering C, Jensen LJ, Raes J, Bork P. 
Proc Natl Acad Sci U S A. 2007 Aug 28;104(35):13913-8. [Supp. Info.] [Code & Data
Also see: In This Issue, PNAS 104(35):13853-4

Protein function space: viewing the limits or limited by our view? 
Raes J, Harrington ED, Singh AH, Bork P. 
Curr Opin Struct Biol. 2007 Jun;17(3):362-9.

Early adoption of new drug treatments: the role of continuing medical education and physician adaptivity 
Mascarenhas D, Singh BK, Singh AH, Veer SV. 
Crit Pathw Cardiol. 2007 Mar;6(1):30-40.