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      Single-molecule tracking of Nodal and Lefty in live zebrafish embryos supports hindered diffusion model

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          Abstract

          The hindered diffusion model postulates that the movement of a signaling molecule through an embryo is affected by tissue geometry and binding-mediated hindrance, but these effects have not been directly demonstrated in vivo. Here, we visualize extracellular movement and binding of individual molecules of the activator-inhibitor signaling pair Nodal and Lefty in live developing zebrafish embryos using reflected light-sheet microscopy. We observe that diffusion coefficients of molecules are high in extracellular cavities, whereas mobility is reduced and bound fractions are high within cell-cell interfaces. Counterintuitively, molecules nevertheless accumulate in cavities, which we attribute to the geometry of the extracellular space by agent-based simulations. We further find that Nodal has a larger bound fraction than Lefty and shows a binding time of tens of seconds. Together, our measurements and simulations provide direct support for the hindered diffusion model and yield insights into the nanometer-to-micrometer-scale mechanisms that lead to macroscopic signal dispersal.

          Abstract

          Multiple models have been proposed for how diffusion is regulated to shape morphogen gradients. Here they use single molecule tracking of an activator-inhibitor signaling pair in a developing tissue to show how effective diffusivity is modulated in the extracellular space.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            U-Net: Convolutional Networks for Biomedical Image Segmentation

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              Stages of embryonic development of the zebrafish.

              We describe a series of stages for development of the embryo of the zebrafish, Danio (Brachydanio) rerio. We define seven broad periods of embryogenesis--the zygote, cleavage, blastula, gastrula, segmentation, pharyngula, and hatching periods. These divisions highlight the changing spectrum of major developmental processes that occur during the first 3 days after fertilization, and we review some of what is known about morphogenesis and other significant events that occur during each of the periods. Stages subdivide the periods. Stages are named, not numbered as in most other series, providing for flexibility and continued evolution of the staging series as we learn more about development in this species. The stages, and their names, are based on morphological features, generally readily identified by examination of the live embryo with the dissecting stereomicroscope. The descriptions also fully utilize the optical transparancy of the live embryo, which provides for visibility of even very deep structures when the embryo is examined with the compound microscope and Nomarski interference contrast illumination. Photomicrographs and composite camera lucida line drawings characterize the stages pictorially. Other figures chart the development of distinctive characters used as staging aid signposts.
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                Author and article information

                Contributors
                patrick.mueller@uni-konstanz.de
                christof.gebhardt@uni-ulm.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                15 October 2022
                15 October 2022
                2022
                : 13
                : 6101
                Affiliations
                [1 ]GRID grid.6582.9, ISNI 0000 0004 1936 9748, Institute of Biophysics, , Ulm University, ; Albert-Einstein-Allee 11, 89081 Ulm, Germany
                [2 ]GRID grid.9811.1, ISNI 0000 0001 0658 7699, University of Konstanz, ; Universitätsstraße 10, 78464 Konstanz, Germany
                [3 ]GRID grid.418026.9, ISNI 0000 0004 0492 0357, Friedrich Miescher Laboratory of the Max Planck Society, ; Max-Planck-Ring 9, 72076 Tübingen, Germany
                [4 ]GRID grid.10420.37, ISNI 0000 0001 2286 1424, University of Vienna, Department of Neurosciences and Developmental Biology, ; Djerassiplatz 1, 1030 Vienna, Austria
                Author information
                http://orcid.org/0000-0002-4033-422X
                http://orcid.org/0000-0001-8982-2155
                http://orcid.org/0000-0001-5199-9940
                http://orcid.org/0000-0002-0702-6209
                http://orcid.org/0000-0003-1900-600X
                Article
                33704
                10.1038/s41467-022-33704-z
                9569377
                36243734
                61042cbc-61cc-4cf4-bddb-8b5807a6347a
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 April 2022
                : 28 September 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 637840
                Award ID: 637987
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: 422780363
                Award ID: 427512076
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                single-molecule biophysics,pattern formation,morphogen signalling
                Uncategorized
                single-molecule biophysics, pattern formation, morphogen signalling

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