F
Frank Jülicher
Researcher at Max Planck Society
Publications - 405
Citations - 34181
Frank Jülicher is an academic researcher from Max Planck Society. The author has contributed to research in topics: Molecular motor & Entropy production. The author has an hindex of 90, co-authored 384 publications receiving 28421 citations. Previous affiliations of Frank Jülicher include Simon Fraser University & Dresden University of Technology.
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Phase separation provides a mechanism to reduce noise in cells
TL;DR: It is shown that liquid droplets can act as fast and effective buffers for gene expression noise and suggest a novel role of phase separation in biological information processing.
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A General Theoretical Framework to Infer Endosomal Network Dynamics from Quantitative Image Analysis
Lionel Foret,Jonathan Edward Dawson,Roberto Villaseñor,Claudio Collinet,Andreas Deutsch,Lutz Brusch,Marino Zerial,Yannis Kalaidzidis,Yannis Kalaidzidis,Frank Jülicher +9 more
TL;DR: The theory and experimental results provide theoretical and experimental support to the "funnel model" of endosome progression and suggest that the conversion of early to late endosomes is the major mode of LDL trafficking.
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Enhancement of sensitivity gain and frequency tuning by coupling of active hair bundles
TL;DR: It is reported that collective effects in arrays of hair bundles can enhance the amplification gain and the sharpness of frequency tuning as compared with the performance of an isolated hair bundle.
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Determining Physical Properties of the Cell Cortex.
Arnab Saha,Masatoshi Nishikawa,Masatoshi Nishikawa,Martin Behrndt,Martin Behrndt,Carl-Philipp Heisenberg,Frank Jülicher,Stephan W. Grill,Stephan W. Grill +8 more
TL;DR: This method provides an accurate and robust means for measuring physical parameters of the actomyosin cortical layer in vivo directly from laser ablation experiments and provides insights into the active mechanics processes that govern tissue-scale morphogenesis.
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Motion of RNA Polymerase along DNA: A Stochastic Model
Frank Jülicher,Robijn Bruinsma +1 more
TL;DR: The model can simulate optical trap experiments and allows us to study the dynamics of chemically halted complexes that are important for footprinting studies and finds that the effective stall force is a sequence-dependent, statistical quantity, whose distribution depends on the observation time.