Browsing by Author "Gunawardena, Jeremy"
Now showing items 1-7 of 7
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Bayesian modeling suggests that IL-12 (p40), IL-13 and MCP-1 drive murine cytokine networks in vivo
Field, Sarah L.; Dasgupta, Tathagata; Cummings, Michele; Savage, Richard S.; Adebayo, Julius; McSara, Hema; Gunawardena, Jeremy; Orsi, Nicolas M. (BioMed Central, 2015)Background: Cytokine-hormone network deregulations underpin pathologies ranging from autoimmune disorders to cancer, but our understanding of these networks in physiological/pathophysiological states remains patchy. We ... -
Cellular Interrogation: Exploiting Cell-to-Cell Variability to Discriminate Regulatory Mechanisms in Oscillatory Signalling
Estrada, Javier; Andrew, Natalie; Gibson, Daniel; Chang, Frederick; Gnad, Florian; Gunawardena, Jeremy (Public Library of Science, 2016)The molecular complexity within a cell may be seen as an evolutionary response to the external complexity of the cell’s environment. This suggests that the external environment may be harnessed to interrogate the cell’s ... -
Comparative Analysis of Erk Phosphorylation Suggests a Mixed Strategy for Measuring Phospho-Form Distributions
Prabakaran, Sudhakaran; Everley, Robert A; Landrieu, Isabelle; Wieruszeski, Jean-Michel; Lippens, Guy; Steen, Hanno; Gunawardena, Jeremy H. (Nature Publishing Group, 2011)The functional impact of multisite protein phosphorylation can depend on both the numbers and the positions of phosphorylated sites—the global pattern of phosphorylation or ‘phospho-form’—giving biological systems profound ... -
A Linear Framework for Time-Scale Separation in Nonlinear Biochemical Systems
Gunawardena, Jeremy H. (Public Library of Science, 2012)Cellular physiology is implemented by formidably complex biochemical systems with highly nonlinear dynamics, presenting a challenge for both experiment and theory. Time-scale separation has been one of the few theoretical ... -
Models in biology: ‘accurate descriptions of our pathetic thinking’
Gunawardena, Jeremy (BioMed Central, 2014)In this essay I will sketch some ideas for how to think about models in biology. I will begin by trying to dispel the myth that quantitative modeling is somehow foreign to biology. I will then point out the distinction ... -
Quantitative Profiling of Peptides from RNAs classified as non-coding
Prabakaran, Sudhakaran; Hemberg, Martin; Chauhan, Ruchi; Winter, Dominic; Tweedie-Cullen, Ry Y.; Dittrich, Christian; Hong, Elizabeth; Gunawardena, Jeremy; Steen, Hanno; Kreiman, Gabriel; Steen, Judith A. (2014)Only a small fraction of the mammalian genome codes for messenger RNAs destined to be translated into proteins, and it is generally assumed that a large portion of transcribed sequences - including introns and several ... -
Robust network structure of the Sln1-Ypd1-Ssk1 three-component phospho-relay prevents unintended activation of the HOG MAPK pathway in Saccharomyces cerevisiae
Dexter, Joseph P; Xu, Ping; Gunawardena, Jeremy; McClean, Megan N (BioMed Central, 2015)Background: The yeast Saccharomyces cerevisiae relies on the high-osmolarity glycerol (HOG) signaling pathway to respond to increases in external osmolarity. The HOG pathway is rapidly activated under conditions of elevated ...