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      Spatially controlled construction of assembloids using bioprinting

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          Abstract

          The biofabrication of three-dimensional (3D) tissues that recapitulate organ-specific architecture and function would benefit from temporal and spatial control of cell-cell interactions. Bioprinting, while potentially capable of achieving such control, is poorly suited to organoids with conserved cytoarchitectures that are susceptible to plastic deformation. Here, we develop a platform, termed Spatially Patterned Organoid Transfer (SPOT), consisting of an iron-oxide nanoparticle laden hydrogel and magnetized 3D printer to enable the controlled lifting, transport, and deposition of organoids. We identify cellulose nanofibers as both an ideal biomaterial for encasing organoids with magnetic nanoparticles and a shear-thinning, self-healing support hydrogel for maintaining the spatial positioning of organoids to facilitate the generation of assembloids. We leverage SPOT to create precisely arranged assembloids composed of human pluripotent stem cell-derived neural organoids and patient-derived glioma organoids. In doing so, we demonstrate the potential for the SPOT platform to construct assembloids which recapitulate key developmental processes and disease etiologies.

          Abstract

          Bioprinting has potential in the biofabrication of three dimensional tissues, but is poorly suited to the manipulation of neural organoids. Here, the authors develop a bioprinting platform to allow the arrangement of organoids to form assembloids.

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          Most cited references78

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          The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

          The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M-mutant; RELA fusion-positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumour with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor / hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.
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            Matrix elasticity directs stem cell lineage specification.

            Microenvironments appear important in stem cell lineage specification but can be difficult to adequately characterize or control with soft tissues. Naive mesenchymal stem cells (MSCs) are shown here to specify lineage and commit to phenotypes with extreme sensitivity to tissue-level elasticity. Soft matrices that mimic brain are neurogenic, stiffer matrices that mimic muscle are myogenic, and comparatively rigid matrices that mimic collagenous bone prove osteogenic. During the initial week in culture, reprogramming of these lineages is possible with addition of soluble induction factors, but after several weeks in culture, the cells commit to the lineage specified by matrix elasticity, consistent with the elasticity-insensitive commitment of differentiated cell types. Inhibition of nonmuscle myosin II blocks all elasticity-directed lineage specification-without strongly perturbing many other aspects of cell function and shape. The results have significant implications for understanding physical effects of the in vivo microenvironment and also for therapeutic uses of stem cells.
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              CellProfiler 3.0: Next-generation image processing for biology

              CellProfiler has enabled the scientific research community to create flexible, modular image analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new version of the software supporting both whole-volume and plane-wise analysis of three-dimensional (3D) image stacks, increasingly common in biomedical research. CellProfiler’s infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. Designed by and for biologists, CellProfiler equips researchers with powerful computational tools via a well-documented user interface, empowering biologists in all fields to create quantitative, reproducible image analysis workflows.
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                Author and article information

                Contributors
                heilshorn@stanford.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                19 July 2023
                19 July 2023
                2023
                : 14
                : 4346
                Affiliations
                [1 ]GRID grid.168010.e, ISNI 0000000419368956, Institute for Stem Cell Biology and Regenerative Medicine, , Stanford University School of Medicine, ; Stanford, CA USA
                [2 ]GRID grid.168010.e, ISNI 0000000419368956, Stanford Brain Organogenesis, Wu Tsai Neurosciences Institute & Bio-X, , Stanford University, ; Stanford, CA USA
                [3 ]GRID grid.418158.1, ISNI 0000 0004 0534 4718, Complex in Vitro Systems, , Safety Assessment, Genentech Inc., ; South San Francisco, CA USA
                [4 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Chemical Engineering, , Stanford University, ; Stanford, CA USA
                [5 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Materials Science and Engineering, , Stanford University, ; Stanford, CA USA
                [6 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Bioengineering, , Stanford University, ; Stanford, CA USA
                [7 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Orthopedic Surgery, , Stanford University School of Medicine, ; Stanford, CA USA
                [8 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Psychiatry and Behavioral Sciences, , Stanford University, ; Stanford, CA USA
                Author information
                http://orcid.org/0000-0002-7560-3258
                http://orcid.org/0000-0003-0327-5635
                http://orcid.org/0000-0002-1814-7786
                http://orcid.org/0000-0002-3216-3248
                http://orcid.org/0000-0002-9801-6304
                Article
                40006
                10.1038/s41467-023-40006-5
                10356773
                37468483
                4dfc0187-920f-4771-9e0e-fa9de939f979
                © The Author(s) 2023

                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
                : 17 December 2022
                : 6 July 2023
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                © Springer Nature Limited 2023

                Uncategorized
                neurological models,biomaterials - cells,gels and hydrogels
                Uncategorized
                neurological models, biomaterials - cells, gels and hydrogels

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