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Direct Stochastic Optical Reconstruction Microscopy (dSTORM) of Peroxisomes

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Peroxisomes

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2643))

Abstract

Peroxisomes are central metabolic organelles whose maturation and function depend on efficient and accurate targeting of peroxisomal membrane proteins (PMPs). Ultrastructural imaging of the PMPs is a quite difficult task as it requires high spatial and temporal resolution. Further, the spatial resolution of conventional light microscopy is limited due to the diffraction of light. However, recent methodological developments in super resolution microscopy showed us to access the nanoscale regimes spatially allowing to elucidate the membrane structures of cell organelles. In this chapter, we present protocols used in our laboratory for the super-resolution imaging of the peroxisomal membrane protein 14 (PEX14p) by direct stochastic optical reconstruction microscopy (dSTORM).

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Authors and Affiliations

  1. Department of Biotechnology and Biophysics, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany

    Teresa Klein & Markus Sauer

  2. Institute of Anatomy and Cell Biology, Julius-Maximilians-University Wurzburg, Würzburg, Germany

    Süleyman Ergün

  3. Institute of Anatomy and Cell Biology, Würzburg, Germany

    Srikanth Karnati

Authors
  1. Teresa Klein
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  2. Markus Sauer
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  3. Süleyman Ergün
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  4. Srikanth Karnati
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Corresponding author

Correspondence to Srikanth Karnati .

Editor information

Editors and Affiliations

  1. Faculty of Health and Life Sciences, Biosciences, University of Exeter, Exeter, Devon, UK

    Michael Schrader

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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Klein, T., Sauer, M., Ergün, S., Karnati, S. (2023). Direct Stochastic Optical Reconstruction Microscopy (dSTORM) of Peroxisomes. In: Schrader, M. (eds) Peroxisomes. Methods in Molecular Biology, vol 2643. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3048-8_6

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  • DOI: https://doi.org/10.1007/978-1-0716-3048-8_6

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-3047-1

  • Online ISBN: 978-1-0716-3048-8

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