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Measuring Nuclear Organization of Proteins with STORM Imaging and Cluster Analysis

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Chromosome Architecture

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2476))

Abstract

Super-resolution microscopy enables the high-precision localization of proteins. Therefore, it is possible to investigate the spatial organization of proteins within the nucleus to understand how their organization relates to regulation and function. Here, we present methodology for single-molecule localization microscopy and cluster analysis where we cover sample preparation, image acquisition, and data analysis.

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Acknowledgments

We thank the UKRI-MRC (MR/M020606/1) and UKRI-STFC (19130001) for funding.

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Authors and Affiliations

  1. Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK

    Ália dos Santos, Rosemarie E. Gough & Christopher P. Toseland

  2. Central Laser Facility, Research Complex at Harwell, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell, Oxford, UK

    Lin Wang

Authors
  1. Ália dos Santos
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  2. Rosemarie E. Gough
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  3. Lin Wang
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  4. Christopher P. Toseland
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Corresponding author

Correspondence to Christopher P. Toseland .

Editor information

Editors and Affiliations

  1. Departments of Physics and Biology, University of York, York, UK

    Mark C. Leake

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© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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dos Santos, Á., Gough, R.E., Wang, L., Toseland, C.P. (2022). Measuring Nuclear Organization of Proteins with STORM Imaging and Cluster Analysis. In: Leake, M.C. (eds) Chromosome Architecture. Methods in Molecular Biology, vol 2476. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2221-6_20

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  • DOI: https://doi.org/10.1007/978-1-0716-2221-6_20

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2220-9

  • Online ISBN: 978-1-0716-2221-6

  • eBook Packages: Springer Protocols

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