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Phenotypic Analysis of Early Neurogenesis in a Mouse Chimeric Embryo and Stem Cell-Based Neuruloid Model

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Neurobiology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2746))

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Abstract

Analyzing the impact of genetic mutations on early neurogenesis of mammalian embryos in conventional mouse mutant models is laborious and time-consuming. To overcome these constraints and to fast-track the phenotypic analysis, we developed a protocol that harnesses the amenability of engineering genetic modifications in embryonic stem cells from which mid-gestation mouse chimeras and in vitro neuruloids are generated. These stem cell-based chimera and neuruloid experimental models allow phenotyping at early developmental time points of neurogenesis.

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Authors and Affiliations

  1. Embryology Research Unit, Children’s Medical Research Institute, University of Sydney, Westmead, NSW, Australia

    Riley McMahon, V. Pragathi Masamsetti & Patrick P. L. Tam

  2. School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia

    Riley McMahon, V. Pragathi Masamsetti & Patrick P. L. Tam

Authors
  1. Riley McMahon
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  2. V. Pragathi Masamsetti
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  3. Patrick P. L. Tam
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Corresponding author

Correspondence to Patrick P. L. Tam .

Editor information

Editors and Affiliations

  1. Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, Australia

    Sebastian Dworkin

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© 2024 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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McMahon, R., Masamsetti, V.P., Tam, P.P.L. (2024). Phenotypic Analysis of Early Neurogenesis in a Mouse Chimeric Embryo and Stem Cell-Based Neuruloid Model. In: Dworkin, S. (eds) Neurobiology. Methods in Molecular Biology, vol 2746. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3585-8_14

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  • DOI: https://doi.org/10.1007/978-1-0716-3585-8_14

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-3584-1

  • Online ISBN: 978-1-0716-3585-8

  • eBook Packages: Springer Protocols

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