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Simple Method for the Preparation of Postsynaptic Density Fraction from Mouse Brain

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Cerebral Cortex Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2794))

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Abstract

Postsynaptic density (PSD) is a morphologically and functionally specialized postsynaptic membrane structure of excitatory synapses. It contains hundreds of proteins such as neurotransmitter receptors, adhesion molecules, cytoskeletal proteins, and signaling enzymes. The study of the molecular architecture of the PSD is one of the most intriguing issues in neuroscience research. The isolation of the PSD from the brain of an animal is necessary for subsequent biochemical and morphological analyses. Many laboratories have developed methods to isolate PSD from the animal brain. In this chapter, we present a simple method to isolate PSD from the mouse brain using sucrose density gradient–based purification of synaptosomes followed by detergent extraction.

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Authors and Affiliations

  1. Department of Molecular Neurobiology, Institute for Developmental Research, Aichi Developmental Disability Center, Aichi, Japan

    Hidenori Ito, Rika Morishita & Koh-ichi Nagata

  2. Department of Neurochemistry, Nagoya University Graduate School of Medicine, Nagoya, Japan

    Koh-ichi Nagata

Authors
  1. Hidenori Ito
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  2. Rika Morishita
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  3. Koh-ichi Nagata
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Corresponding author

Correspondence to Hidenori Ito .

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Editors and Affiliations

  1. Institute for Developmental Research, Aichi Developmental Disability Center, Aichi, Japan

    Koh-ichi Nagata

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Ito, H., Morishita, R., Nagata, Ki. (2024). Simple Method for the Preparation of Postsynaptic Density Fraction from Mouse Brain. In: Nagata, Ki. (eds) Cerebral Cortex Development. Methods in Molecular Biology, vol 2794. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3810-1_7

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  • DOI: https://doi.org/10.1007/978-1-0716-3810-1_7

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-3809-5

  • Online ISBN: 978-1-0716-3810-1

  • eBook Packages: Springer Protocols

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