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      Impaired signaling for neuromuscular synaptic maintenance is a feature of Motor Neuron Disease

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          Abstract

          A central event in the pathogenesis of motor neuron disease (MND) is the loss of neuromuscular junctions (NMJs), yet the mechanisms that lead to this event in MND remain to be fully elucidated. Maintenance of the NMJ relies upon neural agrin ( n-agrin) which, when released from the nerve terminal, activates the postsynaptic Muscle Specific Kinase (MuSK) signaling complex to stabilize clusters of acetylcholine receptors. Here, we report that muscle from MND patients has an increased proportion of slow fibers and muscle fibers with smaller diameter. Muscle cells cultured from MND biopsies failed to form large clusters of acetylcholine receptors in response to either non-MND human motor axons or n-agrin. Furthermore, levels of expression of MuSK, and MuSK-complex components: LRP4, Caveolin-3, and Dok7 differed between muscle cells cultured from MND patients compared to those from non-MND controls. To our knowledge, this is the first time a fault in the n-agrin-LRP4-MuSK signaling pathway has been identified in muscle from MND patients. Our results highlight the n-agrin-LRP4-MuSK signaling pathway as a potential therapeutic target to prolong muscle function in MND.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40478-022-01360-5.

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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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            Comprehensive Integration of Single-Cell Data

            Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity and function. Here, we develop a strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq experiments with scATAC-seq to explore chromatin differences in closely related interneuron subsets and project protein expression measurements onto a bone marrow atlas to characterize lymphocyte populations. Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns. Our work presents a strategy for the assembly of harmonized references and transfer of information across datasets.
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              Ultra-sensitive fluorescent proteins for imaging neuronal activity

              Summary Fluorescent calcium sensors are widely used to image neural activity. Using structure-based mutagenesis and neuron-based screening, we developed a family of ultra-sensitive protein calcium sensors (GCaMP6) that outperformed other sensors in cultured neurons and in zebrafish, flies, and mice in vivo. In layer 2/3 pyramidal neurons of the mouse visual cortex, GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines. The orientation tuning of structurally persistent spines was largely stable over timescales of weeks. Orientation tuning averaged across spine populations predicted the tuning of their parent cell. Although the somata of GABAergic neurons showed little orientation tuning, their dendrites included highly tuned dendritic segments (5 - 40 micrometers long). GCaMP6 sensors thus provide new windows into the organization and dynamics of neural circuits over multiple spatial and temporal scales.
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                Author and article information

                Contributors
                s.ngo@uq.edu.au
                p.noakes@uq.edu.au
                Journal
                Acta Neuropathol Commun
                Acta Neuropathol Commun
                Acta Neuropathologica Communications
                BioMed Central (London )
                2051-5960
                25 April 2022
                25 April 2022
                2022
                : 10
                : 61
                Affiliations
                [1 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, School of Biomedical Sciences, , The University of Queensland, ; St. Lucia, QLD 4072 Australia
                [2 ]GRID grid.416100.2, ISNI 0000 0001 0688 4634, Pathology Queensland, Faculty of Medicine, , Royal Brisbane and Women’s Hospital, ; Herston, QLD 4006 Australia
                [3 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Australian Institute for Bioengineering and Nanotechnology, , The University of Queensland, ; St. Lucia, QLD 4072 Australia
                [4 ]GRID grid.416100.2, ISNI 0000 0001 0688 4634, Department of Neurology, , Royal Brisbane and Women’s Hospital, ; 4006, Herston, QLD Australia
                [5 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, University of Queensland Centre for Clinical Research, , The University of Queensland, ; Herston, QLD 4006 Australia
                [6 ]GRID grid.416100.2, ISNI 0000 0001 0688 4634, Department of Neurosurgery, , Royal Brisbane and Women’s Hospital, ; Herston, QLD 4006 Australia
                [7 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, , The University of Queensland, ; St. Lucia, QLD 4072 Australia
                Author information
                http://orcid.org/0000-0002-1388-2108
                http://orcid.org/0000-0001-9821-8478
                Article
                1360
                10.1186/s40478-022-01360-5
                9040261
                35468848
                77c7049e-75d9-4be5-8a01-9561875c26c4
                © The Author(s) 2022

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 April 2022
                : 6 April 2022
                Funding
                Funded by: National Health & Medical Research Council Australia
                Award ID: 1188169
                Award ID: 1188169
                Award ID: 1101085
                Award ID: 1101085
                Award Recipient :
                Funded by: MNDRIA
                Award ID: GIV 1842
                Award Recipient :
                Funded by: MNDRIA
                Funded by: MND & Me Foundation Fellowship
                Funded by: FundRef http://dx.doi.org/10.13039/100014012, FightMND;
                Award ID: Fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004543, China Scholarship Council;
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                amyotrophic lateral sclerosis,als,neuromuscular junction,musk,agrin,motor neurons,acetylcholine receptors

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