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Jens Timmer

Researcher at University of Freiburg

Publications -  448
Citations -  23339

Jens Timmer is an academic researcher from University of Freiburg. The author has contributed to research in topics: Nonlinear system & Identifiability. The author has an hindex of 83, co-authored 443 publications receiving 20938 citations. Previous affiliations of Jens Timmer include Ladenburg Thalmann & German Cancer Research Center.

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Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

TL;DR: This work suggests an approach that exploits the profile likelihood that enables to detect structural non-identifiabilities, which manifest in functionally related model parameters, that might arise due to limited amount and quality of experimental data.
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WNT and DKK Determine Hair Follicle Spacing Through a Reaction-Diffusion Mechanism

TL;DR: This work identifies WNT and its inhibitor DKK as primary determinants of murine hair follicle spacing, using a combined experimental and computational modeling approach and provides in vivo corroboration of the reaction-diffusion mechanism for epidermal appendage formation.
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Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling

TL;DR: A mathematical model of the core module of the Janus family of kinases (JAK)–signal transducer and activator of transcription (STAT) signaling pathway based on time-resolved measurements of receptor and STAT5 phosphorylation reveals that STAT5 undergoes rapid nucleocytoplasmic cycles, continuously coupling receptor activation and target gene transcription, thereby forming a remote sensor between nucleus and receptor.
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Control of Plant Organ Size by KLUH/CYP78A5-Dependent Intercellular Signaling

TL;DR: The expression dynamics of KLU suggest a model of how the arrest of cell proliferation is coupled to the attainment of a certain primordium size, implying a common principle of size measurement in plants and animals.
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Design principles of a bacterial signalling network

TL;DR: The results suggest that this pathway has evolved to show an optimal chemotactic performance while minimizing the cost of resources associated with high levels of protein expression, and the underlying topological design principles compensating for intercellular variations seem to be highly conserved among bacterial chemosensory systems.