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Membrane topography and the overestimation of protein clustering in single molecule localisation microscopy - identification and correction
Univ Gothenburg, Inst Biomed, Sahlgrenska Acad, Dept Med Biochem & Cell Biol, Gothenburg, Sweden.
KTH, School of Engineering Sciences (SCI), Applied Physics, Biophysics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0003-3669-9848
Univ Gothenburg, Inst Biomed, Sahlgrenska Acad, Dept Med Biochem & Cell Biol, Gothenburg, Sweden..ORCID iD: 0000-0003-4834-3611
2024 (English)In: Communications Biology, E-ISSN 2399-3642, Vol. 7, no 1, article id 791Article in journal (Refereed) Published
Abstract [en]

According to single-molecule localisation microscopy almost all plasma membrane proteins are clustered. We demonstrate that clusters can arise from variations in membrane topography where the local density of a randomly distributed membrane molecule to a degree matches the variations in the local amount of membrane. Further, we demonstrate that this false clustering can be differentiated from genuine clustering by using a membrane marker to report on local variations in the amount of membrane. In dual colour live cell single molecule localisation microscopy using the membrane probe DiI alongside either the transferrin receptor or the GPI-anchored protein CD59, we found that pair correlation analysis reported both proteins and DiI as being clustered, as did its derivative pair correlation-photoactivation localisation microscopy and nearest neighbour analyses. After converting the localisations into images and using the DiI image to factor out topography variations, no CD59 clusters were visible, suggesting that the clustering reported by the other methods is an artefact. However, the TfR clusters persisted after topography variations were factored out. We demonstrate that membrane topography variations can make membrane molecules appear clustered and present a straightforward remedy suitable as the first step in the cluster analysis pipeline. Variations in membrane topography can lead to the overestimation of protein clustering which can be avoided using a second image of a membrane marker, demonstrated with simulations and live cell SMLM.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 7, no 1, article id 791
National Category
Biophysics
Identifiers
URN: urn:nbn:se:kth:diva-350490DOI: 10.1038/s42003-024-06472-3ISI: 001260604800009PubMedID: 38951588Scopus ID: 2-s2.0-85197613012OAI: oai:DiVA.org:kth-350490DiVA, id: diva2:1884205
Note

QC 20240715

Available from: 2024-07-15 Created: 2024-07-15 Last updated: 2025-02-20Bibliographically approved

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Bernhem, Kristoffer

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