7 research outputs found

    Active mechanics reveal molecular-scale force kinetics in living oocytes

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    Active diffusion of intracellular components is emerging as an important process in cell biology. This process is mediated by complex assemblies of molecular motors and cytoskeletal filaments that drive force generation in the cytoplasm and facilitate enhanced motion. The kinetics of molecular motors have been precisely characterized in-vitro by single molecule approaches, however, their in-vivo behavior remains elusive. Here, we study the active diffusion of vesicles in mouse oocytes, where this process plays a key role in nuclear positioning during development, and combine an experimental and theoretical framework to extract molecular-scale force kinetics (force, power-stroke, and velocity) of the in-vivo active process. Assuming a single dominant process, we find that the nonequilibrium activity induces rapid kicks of duration τ∼\tau \sim 300 μ\mus resulting in an average force of F∼F \sim 0.4 pN on vesicles in in-vivo oocytes, remarkably similar to the kinetics of in-vitro myosin-V. Our results reveal that measuring in-vivo active fluctuations allows extraction of the molecular-scale activity in agreement with single-molecule studies and demonstrates a mesoscopic framework to access force kinetics.Comment: 20 pages, 4 figures, see ancillary files for Supplementary Materials, * equally contributing author

    Jupyter Notebooks – a publishing format for reproducible computational workflows

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    It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents

    Papyri: better documentation for the scientific ecosystem in Jupyter

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    International audienceWe present here the idea behind Papyri, a framework we are developing to provide a better documentation experience for the scientific ecosystem. In particular, we wish to provide a documentation browser (from within Jupyter or other IDEs and Python editors) that gives a unified experience, cross library navigation search and indexing. By decoupling documentation generation from rendering we hope this can help address some of the documentation accessibility concerns, and allow customisation based on users' preferences

    Active diffusion positions the nucleus in mouse oocytes

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