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Kaity B, Lobo D. Emergent Tissue Shapes from the Regulatory Feedback between Morphogens and Cell Growth. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.16.638504. [PMID: 40027769 PMCID: PMC11870555 DOI: 10.1101/2025.02.16.638504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 03/05/2025]
Abstract
Patterning and morphogenesis in multicellular organisms require precise dynamic coordination between cellular behaviors and mechano-chemical signals. However, the mechanisms underlying the pathways that coordinate and integrate these signals into emergent cellular behaviors and tissue shapes remain poorly understood. Here, we present a cell-centered agent-based mathematical approach to shed light on the feedback mechanisms underlying tissue growth and pattern formation. The model includes cell size dynamics governed by both intercellular diffusible morphogen concentrations and mechanical stress between cells to control their spatial organization, and does not require the use of any superimposed lattice, increasing its applicability and performance. The results show how the precise integration of the feedback loop between cellular behaviors and mechano-chemical signaling is essential for the regulation of shape and spatial patterns across the tissue scale. Furthermore, the regulation of cellular dynamics by patterning processes, such as Turing activator-inhibitor systems, can drive the formation of emergent stable tissue shapes, which, in turn, specify the domain for morphogen patterning-closing the self-regulated loop between tissue shape and morphogenetic signals. Overall, this study highlights the importance of the feedback loop between morphogen patterning and cellular behaviors in regulating tissue growth dynamics and stable shape formation. Moreover, this study establishes a framework for further experiments to understand the regulatory dynamics of whole-body development and regeneration using high spatiotemporal resolution models.
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Affiliation(s)
- Bivash Kaity
- Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
| | - Daniel Lobo
- Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
- Center for Stem Cell Biology & Regenerative Medicine and Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland, School of Medicine, 22 S. Greene Street, Baltimore, MD 21201, USA
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2
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Grigoryan EN. Self-Organization of the Retina during Eye Development, Retinal Regeneration In Vivo, and in Retinal 3D Organoids In Vitro. Biomedicines 2022; 10:1458. [PMID: 35740479 PMCID: PMC9221005 DOI: 10.3390/biomedicines10061458] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/16/2022] [Accepted: 06/18/2022] [Indexed: 11/23/2022] Open
Abstract
Self-organization is a process that ensures histogenesis of the eye retina. This highly intricate phenomenon is not sufficiently studied due to its biological complexity and genetic heterogeneity. The review aims to summarize the existing central theories and ideas for a better understanding of retinal self-organization, as well as to address various practical problems of retinal biomedicine. The phenomenon of self-organization is discussed in the spatiotemporal context and illustrated by key findings during vertebrate retina development in vivo and retinal regeneration in amphibians in situ. Described also are histotypic 3D structures obtained from the disaggregated retinal progenitor cells of birds and retinal 3D organoids derived from the mouse and human pluripotent stem cells. The review highlights integral parts of retinal development in these conditions. On the cellular level, these include competence, differentiation, proliferation, apoptosis, cooperative movements, and migration. On the physical level, the focus is on the mechanical properties of cell- and cell layer-derived forces and on the molecular level on factors responsible for gene regulation, such as transcription factors, signaling molecules, and epigenetic changes. Finally, the self-organization phenomenon is discussed as a basis for the production of retinal organoids, a promising model for a wide range of basic scientific and medical applications.
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Affiliation(s)
- Eleonora N Grigoryan
- Koltzov Institute of Developmental Biology, Russian Academy of Sciences, 119334 Moscow, Russia
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3
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Hailstone M, Waithe D, Samuels TJ, Yang L, Costello I, Arava Y, Robertson E, Parton RM, Davis I. CytoCensus, mapping cell identity and division in tissues and organs using machine learning. eLife 2020; 9:e51085. [PMID: 32423529 PMCID: PMC7237217 DOI: 10.7554/elife.51085] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 03/17/2020] [Indexed: 01/16/2023] Open
Abstract
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends convenient 2D 'point-and-click' user training to 3D detection of cells in challenging datasets with ill-defined cell boundaries. In tests on such datasets, CytoCensus outperforms other freely available image analysis software in accuracy and speed of cell detection. We used CytoCensus to count stem cells and their progeny, and to quantify individual cell divisions from time-lapse movies of explanted Drosophila larval brains, comparing wild-type and mutant phenotypes. We further illustrate the general utility and future potential of CytoCensus by analysing the 3D organisation of multiple cell classes in Zebrafish retinal organoids and cell distributions in mouse embryos. CytoCensus opens the possibility of straightforward and robust automated analysis of developmental phenotypes in complex tissues.
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Affiliation(s)
- Martin Hailstone
- Department of Biochemistry, University of OxfordOxfordUnited Kingdom
| | - Dominic Waithe
- Wolfson Imaging Center & MRC WIMM Centre for Computational Biology MRC Weather all Institute of Molecular Medicine University of OxfordOxfordUnited Kingdom
| | - Tamsin J Samuels
- Department of Biochemistry, University of OxfordOxfordUnited Kingdom
| | - Lu Yang
- Department of Biochemistry, University of OxfordOxfordUnited Kingdom
| | - Ita Costello
- The Dunn School of Pathology,University of OxfordOxfordUnited Kingdom
| | - Yoav Arava
- Department of Biology, Technion - Israel Institute of TechnologyHaifaIsrael
| | | | - Richard M Parton
- Department of Biochemistry, University of OxfordOxfordUnited Kingdom
- Micron Advanced Bioimaging Unit, Department of Biochemistry, University of OxfordOxfordUnited Kingdom
| | - Ilan Davis
- Department of Biochemistry, University of OxfordOxfordUnited Kingdom
- Micron Advanced Bioimaging Unit, Department of Biochemistry, University of OxfordOxfordUnited Kingdom
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4
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Foster JW, Wahlin KJ, Chakravarti S. A Guide to the Development of Human CorneaOrganoids from Induced Pluripotent Stem Cells in Culture. Methods Mol Biol 2020; 2145:51-58. [PMID: 32542600 PMCID: PMC7565088 DOI: 10.1007/978-1-0716-0599-8_5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The cornea is the outermost transparent and refractive barrier surface of the eye necessary for vision. Development of the cornea involves the coordinated production of extracellular matrix, epithelial differentiation, and endothelial cell expansion to produce a highly transparent tissue. Here we describe the production of multilayered three-dimensional organoids from human-induced pluripotent stem cells. These organoids have the potential for multiple downstream applications which are currently unattainable using traditional in vitro techniques.
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Affiliation(s)
- James W Foster
- The Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Karl J Wahlin
- Shiley Eye Institute, UC San Diego, La Jolla, CA, USA.
| | - Shukti Chakravarti
- Department of Ophthalmology and Pathology, NYU Langone Health, Alexandria Life Sciences Center, New York, NY, USA.
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5
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Eremeev AV, Volovikov EA, Shuvalova LD, Davidenko AV, Khomyakova EA, Bogomiakova ME, Lebedeva OS, Zubkova OA, Lagarkova MA. "Necessity Is the Mother of Invention" or Inexpensive, Reliable, and Reproducible Protocol for Generating Organoids. BIOCHEMISTRY (MOSCOW) 2019; 84:321-328. [PMID: 31221070 DOI: 10.1134/s0006297919030143] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Organoids are three-dimensional (3D) cell cultures that replicate some of the key features of morphology, spatial architecture, and functions of a particular organ. Organoids can be generated from both adult and pluripotent stem cells (PSCs), and complex organoids can also be obtained by combining different types of cells, including differentiated cells. The ability of pluripotent cells to self-organize into organotypic structures containing several cell subtypes specific for a particular organ was used for creating organoids of the brain, eye, kidney, intestine, and other organs. Despite the advantages of using PSCs for obtaining organoids, an essential shortcoming that prevents their widespread use has been a low yield when they are obtained from a PSC monolayer culture and a large variation in size. This leads to great heterogeneity on further differentiation. In this article, we describe our own protocol for generating standardized organoids, with emphasis on a method for generating brain organoids, which allows scaling-up experiments and makes their cultivation less expensive and easier.
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Affiliation(s)
- A V Eremeev
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia.
| | - E A Volovikov
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - L D Shuvalova
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - A V Davidenko
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - E A Khomyakova
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - M E Bogomiakova
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - O S Lebedeva
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - O A Zubkova
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia
| | - M A Lagarkova
- Federal Research and Clinical Center of Physical-Chemical Medicine (FRCC PCM), Federal Medical Biological Agency of Russia (FMBA), Moscow, 119435, Russia.
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Tsai ELS, Ortin-Martinez A, Gurdita A, Comanita L, Yan N, Smiley S, Delplace V, Shoichet MS, Nickerson PEB, Wallace VA. Modeling of Photoreceptor Donor-Host Interaction Following Transplantation Reveals a Role for Crx, Müller Glia, and Rho/ROCK Signaling in Neurite Outgrowth. Stem Cells 2019; 37:529-541. [DOI: 10.1002/stem.2985] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/20/2018] [Accepted: 01/10/2019] [Indexed: 12/19/2022]
Affiliation(s)
- En L. S. Tsai
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
- Department of Laboratory Medicine and Pathobiology; University of Toronto; Toronto Ontario Canada
| | - Arturo Ortin-Martinez
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
| | - Akshay Gurdita
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
- Department of Laboratory Medicine and Pathobiology; University of Toronto; Toronto Ontario Canada
| | - Lacrimioara Comanita
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
| | - Nicole Yan
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
- Department of Laboratory Medicine and Pathobiology; University of Toronto; Toronto Ontario Canada
| | - Sheila Smiley
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
| | - Vianney Delplace
- Department of Chemical Engineering & Applied Chemistry; University of Toronto; Toronto Ontario Canada
| | - Molly S. Shoichet
- Department of Chemical Engineering & Applied Chemistry; University of Toronto; Toronto Ontario Canada
- Institute of Biomaterials and Biomedical Engineering; University of Toronto; Toronto Ontario Canada
| | - Philip E. B. Nickerson
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
| | - Valerie A. Wallace
- Donald K. Johnson Eye Institute, Krembil Research Institute; University Health Network; Toronto Ontario Canada
- Department of Laboratory Medicine and Pathobiology; University of Toronto; Toronto Ontario Canada
- Department of Ophthalmology and Vision Sciences; University of Toronto; Toronto Ontario Canada
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7
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Eldred MK, Muresan L, Harris WA. Disaggregation and Reaggregation of Zebrafish Retinal Cells for the Analysis of Neuronal Layering. Methods Mol Biol 2019; 1576:255-271. [PMID: 28710687 DOI: 10.1007/7651_2017_46] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
The reaggregation of dissociated cells to form organotypic structures provides an in vitro system for the analysis of the cellular interactions and molecular mechanisms involved in the formation of tissue architecture. The retina, an outgrowth of the forebrain, is a precisely layered neural tissue, yet the mechanisms underlying layer formation are largely unexplored. Here we describe the protocol to dissociate, re-aggregate, and culture zebrafish retinal cells from a transgenic, Spectrum of Fates, line where all main cell types are labelled with a combination of fluorescent proteins driven by fate-specific promoters. These cells re-aggregate and self-organize in just 48 h in minimal culture conditions. We also describe how the patterning in these aggregates can be analyzed using isocontour profiling to compare whether different conditions affect their self-organization.
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Affiliation(s)
- Megan K Eldred
- Department of Physiology, Development and Neuroscience, Cambridge University, Cambridge, UK.
| | - Leila Muresan
- Department of Physiology, Development and Neuroscience, Cambridge University, Cambridge, UK
| | - William A Harris
- Department of Physiology, Development and Neuroscience, Cambridge University, Cambridge, UK
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Weist R, Flörkemeier T, Roger Y, Franke A, Schwanke K, Zweigerdt R, Martin U, Willbold E, Hoffmann A. Differential Expression of Cholinergic System Components in Human Induced Pluripotent Stem Cells, Bone Marrow-Derived Multipotent Stromal Cells, and Induced Pluripotent Stem Cell-Derived Multipotent Stromal Cells. Stem Cells Dev 2018; 27:166-183. [PMID: 29205106 DOI: 10.1089/scd.2017.0162] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The components of the cholinergic system are evolutionary very old and conserved molecules that are expressed in typical spatiotemporal patterns. They are involved in signaling in the nervous system, whereas their functions in nonneuronal tissues are hardly understood. Stem cells present an attractive cellular system to address functional issues. This study therefore compared human induced pluripotent stem cells (iPSCs; from cord blood endothelial cells), mesenchymal stromal cells derived from iPSCs (iPSC-MSCs), and bone marrow-derived MSCs (BM-MSCs) from up to 33 different human donors with respect to gene expressions of components of the cholinergic system. The status of cells was identified and characterized by the detection of cell surface antigens using flow cytometry. Acetylcholinesterase expression in iPSCs declined during their differentiation into MSCs and was comparably low in BM-MSCs. Butyrylcholinesterase was present in iPSCs, increased upon transition from the three-dimensional embryoid body phase into monolayer culture, and declined upon further differentiation into iPSC-MSCs. In BM-MSCs a notable butyrylcholinesterase expression could be detected in only four donors, but was elusive in other patient-derived samples. Different nicotinic acetylcholine receptor subunits were preferentially expressed in iPSCs and during early differentiation into iPSC-MSCs, low expression was detected in iPS-MSCs and in BM-MSCs. The m2 and m3 variants of muscarinic acetylcholine receptors were detected in all stem cell populations. In BM-MSCs, these gene expressions varied between donors. Together, these data reveal the differential expression of cholinergic signaling system components in stem cells from specific sources and suggest the utility of our approach to establish informative biomarkers.
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Affiliation(s)
- Ramona Weist
- 1 Department of Orthopaedic Surgery, Graded Implants and Regenerative Strategies, Hannover Medical School , Hannover, Germany .,2 Department of Trauma Surgery, Hannover Medical School , Hannover, Germany
| | - Thilo Flörkemeier
- 3 Laboratory for Biomechanics and Biomaterials, Department of Orthopaedic Surgery, Hannover Medical School , Hannover, Germany
| | - Yvonne Roger
- 1 Department of Orthopaedic Surgery, Graded Implants and Regenerative Strategies, Hannover Medical School , Hannover, Germany .,4 Lower Saxony Centre for Biomedical Engineering , Implant Research and Development (NIFE), Hannover, Germany
| | - Annika Franke
- 5 Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation, and Vascular Surgery (HTTG), Hannover Medical School , Hannover, Germany .,6 REBIRTH-Cluster of Excellence, Hannover Medical School , Hannover, Germany
| | - Kristin Schwanke
- 5 Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation, and Vascular Surgery (HTTG), Hannover Medical School , Hannover, Germany .,6 REBIRTH-Cluster of Excellence, Hannover Medical School , Hannover, Germany
| | - Robert Zweigerdt
- 5 Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation, and Vascular Surgery (HTTG), Hannover Medical School , Hannover, Germany .,6 REBIRTH-Cluster of Excellence, Hannover Medical School , Hannover, Germany
| | - Ulrich Martin
- 5 Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation, and Vascular Surgery (HTTG), Hannover Medical School , Hannover, Germany .,6 REBIRTH-Cluster of Excellence, Hannover Medical School , Hannover, Germany
| | - Elmar Willbold
- 3 Laboratory for Biomechanics and Biomaterials, Department of Orthopaedic Surgery, Hannover Medical School , Hannover, Germany .,4 Lower Saxony Centre for Biomedical Engineering , Implant Research and Development (NIFE), Hannover, Germany
| | - Andrea Hoffmann
- 1 Department of Orthopaedic Surgery, Graded Implants and Regenerative Strategies, Hannover Medical School , Hannover, Germany .,4 Lower Saxony Centre for Biomedical Engineering , Implant Research and Development (NIFE), Hannover, Germany
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Amini R, Rocha-Martins M, Norden C. Neuronal Migration and Lamination in the Vertebrate Retina. Front Neurosci 2018; 11:742. [PMID: 29375289 PMCID: PMC5767219 DOI: 10.3389/fnins.2017.00742] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 12/20/2017] [Indexed: 01/04/2023] Open
Abstract
In the retina, like in most other brain regions, developing neurons are arranged into distinct layers giving the mature tissue its stratified appearance. This process needs to be highly controlled and orchestrated, as neuronal layering defects lead to impaired retinal function. To achieve successful neuronal layering and lamination in the retina and beyond, three main developmental steps need to be executed: First, the correct type of neuron has to be generated at a precise developmental time. Second, as most retinal neurons are born away from the position at which they later function, newborn neurons have to move to their final layer within the developing tissue, a process also termed neuronal lamination. Third, these neurons need to connect to their correct synaptic partners. Here, we discuss neuronal migration and lamination in the vertebrate retina and summarize our knowledge on these aspects of retinal development. We give an overview of how lamination emerges and discuss the different modes of neuronal translocation that occur during retinogenesis and what we know about the cell biological machineries driving them. In addition, retinal mosaics and their importance for correct retinal function are examined. We close by stating the open questions and future directions in this exciting field.
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Affiliation(s)
- Rana Amini
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | - Caren Norden
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
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Abstract
Summary: This Editorial provides an overview of the entire contents of the Special Issue, highlighting some of the important findings and major themes therein.
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Affiliation(s)
- Melissa H Little
- Murdoch Children's Research Institute, Melbourne 3052, Australia
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11
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MacDonald RB, Charlton-Perkins M, Harris WA. Mechanisms of Müller glial cell morphogenesis. Curr Opin Neurobiol 2017; 47:31-37. [PMID: 28850820 DOI: 10.1016/j.conb.2017.08.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 08/11/2017] [Indexed: 02/07/2023]
Abstract
Müller Glia (MG), the radial glia cells of the retina, have spectacular morphologies subserving their enormous functional complexity. As early as 1892, the great neuroanatomist Santiago Ramon y Cajal studied the morphological development of MG, defining several steps in their morphogenesis [1,2]. However, the molecular cues controlling these developmental steps remain poorly understood. As MG have roles to play in every cellular and plexiform layer, this review discusses our current understanding on how MG morphology may be linked to their function, including the developmental mechanisms involved in MG patterning and morphogenesis. Uncovering the mechanisms governing glial morphogenesis, using transcriptomics and imaging, may provide shed new light on the pathophysiology and treatment of human neurological disorders.
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Affiliation(s)
- Ryan B MacDonald
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK
| | - Mark Charlton-Perkins
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK
| | - William A Harris
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK.
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