Author : Fae Kronman
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (144 download)
Book Synopsis A Developmental Mouse Brain Common Coordinate Framework for Cell Census Atlasing by : Fae Kronman
Download or read book A Developmental Mouse Brain Common Coordinate Framework for Cell Census Atlasing written by Fae Kronman and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain reference atlases have transformed from images of gross anatomy to magnified histological slides to interactive digital 3D models. Today, 3D standard reference brains serve as key resources to understand the spatial organization of the brain and promote interoperability across different studies. Unlike the adult mouse brain, the absence of a standard 3D reference atlas for developing mouse brains has hindered advancement in understanding brain development. Here, we present a multimodal 3D developmental common coordinate framework (DevCCF) spanning mouse embryonic day (E) 11.5, E13.5, E15.5, E18.5, and postnatal day (P) 4, P14, and P56. The DevCCF features undistorted morphologically averaged atlas templates created from magnetic resonance imaging and co-registered high-resolution templates from light sheet fluorescence microscopy. The prosomeric model of mammalian brain development guides 3D anatomical segmentations at each age. To appreciate the developmental gap between P4 and P14, we supplement the DevCCF with the early postnatal developmental atlas (epDevAtlas), featuring morphologically averaged templates created from serial two-photon tomography at ages P4, P6, P8, P10, P12, and P14. Moreover, we integrated the P4 and P14 epDevAtlas and Allen Institute adult mouse brain common coordinate framework (CCFv3) into the undistorted P4, P14, and P56 DevCCF morphology, respectively. The DevCCF and epDevAtlas can be explored via an interactive 3D web visualizer. To demonstrate use cases, we employed the DevCCF to unveil the emergence of GABAergic neurons in embryonic brains and mapped spatial transcriptome cell-type data with the developmental ontology to visualize the gene expression changes through development. Further, we suggest atlas improvements and applications to further progress in basic and translational developmental neuroscience. In summary, this work describes the development of openly accessible 3D standard reference atlases that serve as resources for large-scale data integration to gain a comprehensive understanding of brain development.