Measuring Nuclear Organization of Proteins with STORM Imaging and Cluster Analysis

Ália Dos Santos; Rosemarie E Gough; Lin Wang; Christopher P Toseland

doi:10.1007/978-1-0716-2221-6_20

Measuring Nuclear Organization of Proteins with STORM Imaging and Cluster Analysis

Methods Mol Biol. 2022:2476:293-309. doi: 10.1007/978-1-0716-2221-6_20.

Authors

Ália Dos Santos¹, Rosemarie E Gough¹, Lin Wang², Christopher P Toseland³

Affiliations

¹ Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK.
² Central Laser Facility, Research Complex at Harwell, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell, Oxford, UK.
³ Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK. c.toseland@sheffield.ac.uk.

PMID: 35635711
DOI: 10.1007/978-1-0716-2221-6_20

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.

Keywords: Cluster analysis; Nuclear organization; Nucleus; STORM; Single molecule.

Measuring Nuclear Organization of Proteins with STORM Imaging and Cluster Analysis

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