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      Mouse retinal cell behaviour in space and time using light sheet fluorescence microscopy

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          As the general population ages, more people are affected by eye diseases, such as retinopathies. It is therefore critical to improve imaging of eye disease mouse models. Here, we demonstrate that 1) rapid, quantitative 3D and 4D (time lapse) imaging of cellular and subcellular processes in the mouse eye is feasible, with and without tissue clearing, using light-sheet fluorescent microscopy (LSFM); 2) flat-mounting retinas for confocal microscopy significantly distorts tissue morphology, confirmed by quantitative correlative LSFM-Confocal imaging of vessels; 3) LSFM readily reveals new features of even well-studied eye disease mouse models, such as the oxygen-induced retinopathy (OIR) model, including a previously unappreciated ‘knotted’ morphology to pathological vascular tufts, abnormal cell motility and altered filopodia dynamics when live-imaged. We conclude that quantitative 3D/4D LSFM imaging and analysis has the potential to advance our understanding of the eye, in particular pathological, neurovascular, degenerative processes.

          eLife digest

          Eye diseases affect millions of people worldwide and can have devasting effects on people’s lives. To find new treatments, scientists need to understand more about how these diseases arise and how they progress. This is challenging and progress has been held back by limitations in current techniques for looking at the eye. Currently, the most commonly used method is called confocal imaging, which is slow and distorts the tissue. Distortion happens because confocal imaging requires that thin slices of eye tissue from mice used in experiments are flattened on slides; this makes it hard to accurately visualize three-dimensional structures in the eye.

          New methods are emerging that may help. One promising method is called light-sheet fluorescent microscopy (or LSFM for short). This method captures three-dimensional images of the blood vessels and cells in the eye. It is much faster than confocal imaging and allows scientists to image tissues without slicing or flattening them. This could lead to more accurate three-dimensional images of eye disease.

          Now, Prahst et al. show that LSFM can quickly produce highly detailed, three-dimensional images of mouse retinas, from the smallest parts of cells to the entire eye. The technique also identified new features in a well-studied model of retina damage caused by excessive oxygen exposure in young mice. Previous studies of this model suggested the disease caused blood vessels in the eye to balloon, hinting that drugs that shrink blood vessels would help. But using LSFM, Prahst et al. revealed that these blood vessels actually take on a twisted and knotted shape. This suggests that treatments that untangle the vessels rather than shrink them are needed.

          The experiments show that LSFM is a valuable tool for studying eye diseases, that may help scientists learn more about how these diseases arise and develop. These new insights may one day lead to better tests and treatments for eye diseases.

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          Most cited references32

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          Single-cell phenotyping within transparent intact tissue through whole-body clearing.

          Understanding the structure-function relationships at cellular, circuit, and organ-wide scale requires 3D anatomical and phenotypical maps, currently unavailable for many organs across species. At the root of this knowledge gap is the absence of a method that enables whole-organ imaging. Herein, we present techniques for tissue clearing in which whole organs and bodies are rendered macromolecule-permeable and optically transparent, thereby exposing their cellular structure with intact connectivity. We describe PACT (passive clarity technique), a protocol for passive tissue clearing and immunostaining of intact organs; RIMS (refractive index matching solution), a mounting media for imaging thick tissue; and PARS (perfusion-assisted agent release in situ), a method for whole-body clearing and immunolabeling. We show that in rodents PACT, RIMS, and PARS are compatible with endogenous-fluorescence, immunohistochemistry, RNA single-molecule FISH, long-term storage, and microscopy with cellular and subcellular resolution. These methods are applicable for high-resolution, high-content mapping and phenotyping of normal and pathological elements within intact organs and bodies. Copyright © 2014 Elsevier Inc. All rights reserved.
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            Endothelial cells dynamically compete for the tip cell position during angiogenic sprouting.

            Sprouting angiogenesis requires the coordinated behaviour of endothelial cells, regulated by Notch and vascular endothelial growth factor receptor (VEGFR) signalling. Here, we use computational modelling and genetic mosaic sprouting assays in vitro and in vivo to investigate the regulation and dynamics of endothelial cells during tip cell selection. We find that endothelial cells compete for the tip cell position through relative levels of Vegfr1 and Vegfr2, demonstrating a biological role for differential Vegfr regulation in individual endothelial cells. Differential Vegfr levels affect tip selection only in the presence of a functional Notch system by modulating the expression of the ligand Dll4. Time-lapse microscopy imaging of mosaic sprouts identifies dynamic position shuffling of tip and stalk cells in vitro and in vivo, indicating that the VEGFR-Dll4-Notch signalling circuit is constantly re-evaluated as cells meet new neighbours. The regular exchange of the leading tip cell raises novel implications for the concept of guided angiogenic sprouting.
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              Mapping of Brain Activity by Automated Volume Analysis of Immediate Early Genes.

              Understanding how neural information is processed in physiological and pathological states would benefit from precise detection, localization, and quantification of the activity of all neurons across the entire brain, which has not, to date, been achieved in the mammalian brain. We introduce a pipeline for high-speed acquisition of brain activity at cellular resolution through profiling immediate early gene expression using immunostaining and light-sheet fluorescence imaging, followed by automated mapping and analysis of activity by an open-source software program we term ClearMap. We validate the pipeline first by analysis of brain regions activated in response to haloperidol. Next, we report new cortical regions downstream of whisker-evoked sensory processing during active exploration. Last, we combine activity mapping with axon tracing to uncover new brain regions differentially activated during parenting behavior. This pipeline is widely applicable to different experimental paradigms, including animal species for which transgenic activity reporters are not readily available.
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                Author and article information

                Contributors
                Role: Senior Editor
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                19 February 2020
                2020
                : 9
                : e49779
                Affiliations
                [1 ]Center for Vascular Biology Research and Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School BostonUnited States
                [2 ]The Beijer Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University UppsalaSweden
                [3 ]The Francis Crick Institute LondonUnited Kingdom
                [4 ]Department of Informatics, Faculty of Natural and Mathematical Sciences, Kings College London LondonUnited Kingdom
                [5 ]Instituto de Medicina Molecular LisbonPortugal
                [6 ]Schepens Eye Research Institute of Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School BostonUnited States
                [7 ]Harvard Center for Biological Imaging, Department of Molecular and Cellular Biology, Harvard University CambridgeUnited States
                [8 ]Geriatric Research Education and Clinical Center, Office of Research and Development, Edith Nourse Rogers Memorial Veterans Hospital BedfordUnited States
                [9 ]Biomedical Engineering Department, Boston University BostonUnited States
                Utrecht University Netherlands
                Utrecht University Netherlands
                Utrecht University Netherlands
                Point Loma Nazarene University - San Diego United States
                University of Washington United States
                Author notes
                [‡]

                Virtual Technology and Design, University of Idaho, Moscow, United States.

                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-2728-670X
                http://orcid.org/0000-0001-6283-8843
                http://orcid.org/0000-0003-4275-2000
                http://orcid.org/0000-0003-4285-615X
                http://orcid.org/0000-0002-2861-3883
                https://orcid.org/0000-0002-9391-659X
                Article
                49779
                10.7554/eLife.49779
                7162655
                32073398
                4f43eb0b-d45d-455f-b564-63a43e877288
                © 2020, Prahst et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 29 June 2019
                : 11 February 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: 1R21EY027067-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007299, Harvard Catalyst;
                Award ID: UL1 TR001102
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100005615, Beth Israel Deaconess Medical Center;
                Award ID: startup funds
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006353, Kjell och Märta Beijers Stiftelse;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010258, Marfan Foundation;
                Award ID: Victor A McKusick fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004410, European Molecular Biology Organization;
                Award ID: ALTF 2016-923 fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: T32 HL07893
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: EY025259
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: P30 EY03790
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: starting grant (679368)
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: IF/00412/2012
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001674, Fondation Leducq;
                Award ID: 17CVD03
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000053, National Eye Institute;
                Award ID: EY027067
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004063, Knut och Alice Wallenbergs Stiftelse;
                Award ID: KAW 2015.0030
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010438, Francis Crick Institute;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: PRECISE-LISBOA-01-0145-FEDER-016394
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001725, Royal Swedish Academy of Sciences;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Tools and Resources
                Cell Biology
                Developmental Biology
                Custom metadata
                Improved 3D and 4D imaging of neurovascular processes across scales reveals new insights into eye disease mouse models and shows retinal vessels are significantly distorted using standard flat-mount confocal imaging.

                Life sciences
                confocal microscopy,lightsheet microscopy,mouse retina,angiogenesis,retinopathy of prematurity,neurovascular,mouse

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