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      Synaptotagmin 17 controls neurite outgrowth and synaptic physiology via distinct cellular pathways

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          Abstract

          The synaptotagmin (syt) proteins have been widely studied for their role in regulating fusion of intracellular vesicles with the plasma membrane. Here we report that syt-17, an unusual isoform of unknown function, plays no role in exocytosis, and instead plays multiple roles in intracellular membrane trafficking. Syt-17 is localized to the Golgi complex in hippocampal neurons, where it coordinates import of vesicles from the endoplasmic reticulum to support neurite outgrowth and facilitate axon regrowth after injury. Further, we discovered a second pool of syt-17 on early endosomes in neurites. Loss of syt-17 disrupts endocytic trafficking, resulting in the accumulation of excess postsynaptic AMPA receptors and defective synaptic plasticity. Two distinct pools of syt-17 thus control two crucial, independent membrane trafficking pathways in neurons. Function of syt-17 appears to be one mechanism by which neurons have specialized their secretory and endosomal systems to support the demands of synaptic communication over sprawling neurite arbors.

          Abstract

          The functional role of synaptotagmin-17 (syt-17) has remained unanswered. In this study, authors demonstrate that syt-17 exists in two distinct pools in hippocampal neurons (Golgi complex and early endosomes), where it served two completely independent functions: controlling neurite outgrowth and synaptic physiology

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          Genomic libraries and a host strain designed for highly efficient two-hybrid selection in yeast.

          The two-hybrid system is a powerful technique for detecting protein-protein interactions that utilizes the well-developed molecular genetics of the yeast Saccharomyces cerevisiae. However, the full potential of this technique has not been realized due to limitations imposed by the components available for use in the system. These limitations include unwieldy plasmid vectors, incomplete or poorly designed two-hybrid libraries, and host strains that result in the selection of large numbers of false positives. We have used a novel multienzyme approach to generate a set of highly representative genomic libraries from S. cerevisiae. In addition, a unique host strain was created that contains three easily assayed reporter genes, each under the control of a different inducible promoter. This host strain is extremely sensitive to weak interactions and eliminates nearly all false positives using simple plate assays. Improved vectors were also constructed that simplify the construction of the gene fusions necessary for the two-hybrid system. Our analysis indicates that the libraries and host strain provide significant improvements in both the number of interacting clones identified and the efficiency of two-hybrid selections.
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            Automated tilt series alignment and tomographic reconstruction in IMOD.

            Automated tomographic reconstruction is now possible in the IMOD software package, including the merging of tomograms taken around two orthogonal axes. Several developments enable the production of high-quality tomograms. When using fiducial markers for alignment, the markers to be tracked through the series are chosen automatically; if there is an excess of markers available, a well-distributed subset is selected that is most likely to track well. Marker positions are refined by applying an edge-enhancing Sobel filter, which results in a 20% improvement in alignment error for plastic-embedded samples and 10% for frozen-hydrated samples. Robust fitting, in which outlying points are given less or no weight in computing the fitting error, is used to obtain an alignment solution, so that aberrant points from the automated tracking can have little effect on the alignment. When merging two dual-axis tomograms, the alignment between them is refined from correlations between local patches; a measure of structure was developed so that patches with insufficient structure to give accurate correlations can now be excluded automatically. We have also developed a script for running all steps in the reconstruction process with a flexible mechanism for setting parameters, and we have added a user interface for batch processing of tilt series to the Etomo program in IMOD. Batch processing is fully compatible with interactive processing and can increase efficiency even when the automation is not fully successful, because users can focus their effort on the steps that require manual intervention.
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              Neuronal morphometry directly from bitmap images.

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                Author and article information

                Contributors
                chapman@wisc.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 August 2019
                6 August 2019
                2019
                : 10
                : 3532
                Affiliations
                [1 ]ISNI 0000 0001 0701 8607, GRID grid.28803.31, Department of Neuroscience, , University of Wisconsin, ; Madison, WI 53706 USA
                [2 ]ISNI 0000 0001 2299 3507, GRID grid.16753.36, Department of Neurology, Feinberg School of Medicine, , Northwestern University, ; Chicago, IL 60611 USA
                [3 ]ISNI 0000 0004 1936 8294, GRID grid.214572.7, Department of Molecular Physiology and Biophysics, , University of Iowa, ; Iowa City, IA 52242 USA
                [4 ]ISNI 0000 0001 0701 8607, GRID grid.28803.31, Department of Anesthesiology, , University of Wisconsin, ; Madison, WI 53706 USA
                [5 ]ISNI 0000 0004 1936 8972, GRID grid.25879.31, Department of Physiology, Perelman School of Medicine, , University of Pennsylvania, ; Philadelphia, PA 19104 USA
                [6 ]ISNI 0000000096214564, GRID grid.266190.a, Department of Molecular, Cellular and Developmental Biology, , University of Colorado at Boulder, ; Boulder, CO 80309 USA
                [7 ]ISNI 0000 0001 2167 1581, GRID grid.413575.1, Howard Hughes Medical Institute, ; Chevy Chase, MD 20815 USA
                Author information
                http://orcid.org/0000-0002-1744-3516
                http://orcid.org/0000-0003-0780-5795
                http://orcid.org/0000-0001-7250-1419
                http://orcid.org/0000-0002-1516-6260
                http://orcid.org/0000-0001-9995-5699
                Article
                11459
                10.1038/s41467-019-11459-4
                6684635
                31387992
                521d69ca-0707-4464-a8dc-8781e57bf419
                © The Author(s) 2019

                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
                : 9 January 2019
                : 13 July 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: R35NS097362
                Award ID: MH061876
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000011, Howard Hughes Medical Institute (HHMI);
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                neuroscience,cellular neuroscience,development of the nervous system,synaptic transmission

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