T
Tobias Bollenbach
Researcher at University of Cologne
Publications - 54
Citations - 3331
Tobias Bollenbach is an academic researcher from University of Cologne. The author has contributed to research in topics: Morphogen & Gene. The author has an hindex of 24, co-authored 48 publications receiving 2794 citations. Previous affiliations of Tobias Bollenbach include Michigan State University & Harvard University.
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Journal ArticleDOI
Interstitial dendritic cell guidance by haptotactic chemokine gradients.
Michele Weber,Robert Hauschild,Jan Schwarz,Christine Moussion,Ingrid de Vries,Daniel F. Legler,Sanjiv A. Luther,Tobias Bollenbach,Michael Sixt +8 more
TL;DR: These findings functionally establish the concept of haptotaxis, directed migration along immobilized gradients, in tissues.
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Kinetics of morphogen gradient formation.
Anna Kicheva,Periklis Pantazis,Tobias Bollenbach,Yannis Kalaidzidis,Yannis Kalaidzidis,Thomas Bittig,Frank Jülicher,Marcos González-Gaitán,Marcos González-Gaitán +8 more
TL;DR: The cellular mechanisms of Dpp and Wingless spreading are different: Dpp spreading requires endocytic, intracellular trafficking, and the range is controlled by the four key kinetic parameters governing morphogen spreading.
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Oct4 kinetics predict cell lineage patterning in the early mammalian embryo.
Nicolas Plachta,Tobias Bollenbach,Tobias Bollenbach,Shirley Pease,Scott E. Fraser,Periklis Pantazis +5 more
TL;DR: A fluorescence decay after photoactivation assay is established to quantitatively study the kinetic behaviour of Oct4, a key transcription factor controlling pre-implantation development in the mouse embryo and identifies Oct4 kinetics, rather than differences in total transcription factor expression levels, as a predictive measure of developmental cell lineage patterning in the early mouse embryo.
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Nonoptimal Microbial Response to Antibiotics Underlies Suppressive Drug Interactions
TL;DR: Using GFP-tagged transcription reporters in Escherichia coli, it is found that ribosomal genes are not directly regulated by DNA stress, leading to an imbalance between cellular DNA and protein content, and a simple mathematical model explains the nonoptimal regulation in different nutrient environments.
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Antimicrobial interactions: Mechanisms and implications for drug discovery and resistance evolution
TL;DR: The conceptual and technical foundation for the rational design of potent drug combinations is rapidly developing and new treatment strategies that use drug combinations to exploit evolutionary tradeoffs were shown to affect the rate of resistance evolution in predictable ways.