Expansion microscopy on Drosophila spermatocyte centrioles.

Asterless Centriole Drosophila Expansion Microscopy Spermatocyte Super-resolution

Journal

Methods in cell biology
ISSN: 0091-679X
Titre abrégé: Methods Cell Biol
Pays: United States
ID NLM: 0373334

Informations de publication

Date de publication:
2021
Historique:
entrez: 22 1 2021
pubmed: 23 1 2021
medline: 26 11 2021
Statut: ppublish

Résumé

Drosophila spermatocyte centrioles are ideal for imaging studies. Their large, characteristic V conformation is both easy to identify and measure using standard imaging techniques. However, certain detailed features, such as their ninefold symmetry, are only visible below the diffraction limit of light. This is therefore a system that can benefit from the increased effective resolution potentially achievable by expansion microscopy. Here, I provide detailed protocols of two types of expansion microscopy methodologies applied to Drosophila spermatocyte centrioles, and discuss which is able to achieve the highest effective resolution in this system. I describe how to precisely measure these organelles post-expansion, and discuss how they can therefore be used as "molecular rulers" to troubleshoot and compare expansion techniques. I also provide protocols to combine expansion microscopy with super-resolution imaging in this tissue, discussing potential pitfalls. I conclude that expansion microscopy provides an effective alternative for thick tissues that are not amenable for traditional super-resolution techniques.

Identifiants

pubmed: 33478691
pii: S0091-679X(20)30132-1
doi: 10.1016/bs.mcb.2020.06.008
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

217-245

Subventions

Organisme : Wellcome Trust
ID : 107457
Pays : United Kingdom

Informations de copyright

© 2021 Elsevier Inc. All rights reserved.

Auteurs

Alan Wainman (A)

Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom. Electronic address: alan.wainman@path.ox.ac.uk.

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Classifications MeSH