9 Result(s)
within
Edda Klipp
Life Sciences
Bioinformatics
Computational Biology/Bioinformatics
Systems Biology
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Article
Open AccessOsmolyte homeostasis controls single-cell growth rate and maximum cell size of Saccharomyces cerevisiae
Cell growth is well described at the population level, but precisely how nutrient and water uptake and cell wall expansion drive the growth of single cells is poorly understood. Supported by measurements of si...
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Article
Open AccessTranscriptional timing and noise of yeast cell cycle regulators—a single cell and single molecule approach
Gene expression is a stochastic process and its appropriate regulation is critical for cell cycle progression. Cellular stress response necessitates expression reprogramming and cell cycle arrest. While previo...
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Article
Open AccessA Clb/Cdk1-mediated regulation of Fkh2 synchronizes CLB expression in the budding yeast cell cycle
Precise timing of cell division is achieved by coupling waves of cyclin-dependent kinase (Cdk) activity with a transcriptional oscillator throughout cell cycle progression. Although details of transcription of...
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Article
Open AccessThe game theory of Candida albicans colonization dynamics reveals host status-responsive gene expression
The fungal pathogen Candida albicans colonizes the gastrointestinal (GI) tract of mammalian hosts as a benign commensal. However, in an immunocompromised host, the fungus is capable of causing life-threatening in...
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Article
Open AccessNetwork reconstruction and validation of the Snf1/AMPK pathway in baker’s yeast based on a comprehensive literature review
The SNF1/AMPK protein kinase has a central role in energy homeostasis in eukaryotic cells. It is activated by energy depletion and stimulates processes leading to the production of ATP while it downregulates A...
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Article
Open AccessStochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks
Cellular decision-making is governed by molecular networks that are highly complex. An integrative understanding of these networks on a genome wide level is essential to understand cellular health and disease....
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Article
Open AccessGlobal dynamic optimization approach to predict activation in metabolic pathways
During the last decade, a number of authors have shown that the genetic regulation of metabolic networks may follow optimality principles. Optimal control theory has been succesfully used to compute optimal en...
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Article
Open AccessReaction-contingency based bipartite Boolean modelling
Intracellular signalling systems are highly complex, rendering mathematical modelling of large signalling networks infeasible or impractical. Boolean modelling provides one feasible approach to whole-network m...
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Article
Open AccessMonte Carlo analysis of an ODE Model of the Sea Urchin Endomesoderm Network
Gene Regulatory Networks (GRNs) control the differentiation, specification and function of cells at the genomic level. The levels of interactions within large GRNs are of enormous depth and complexity. Details...
