High-SPEED super-resolution SPEED microscopy to study primary cilium signaling in vivo.


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:
2023
Historique:
medline: 12 5 2023
pubmed: 11 5 2023
entrez: 10 5 2023
Statut: ppublish

Résumé

The primary cilium is a surface exposed organelle found in eukaryotic cells that functions to decode a variety of intracellular signals with significant implications in human developmental disorders and diseases. It is therefore highly desirable to obtain in vivo information regarding the dynamic processes occurring within the primary cilium. However, current techniques are limited by either the physical limitations of light microscopy or the static nature of electron microscopy. To overcome these limitations, single-point edge-excitation sub-diffraction (SPEED) microscopy was developed to obtain dynamic in vivo information in subcellular organelles such as cilia and nuclear pore complexes using single-molecule super-resolution light microscopy with a spatiotemporal resolution of 10-20nm and 0.4-2ms. Three-dimensional (3D) structural and dynamic information in these organelles can be further obtained through a post-processing 2D-to-3D transformation algorithm. Here we present a modular step-by-step protocol for studying primary cilium signaling dynamics, including Intraflagellar transport (IFT) via IFT20 and somatostatin g-protein-coupled receptor activity via SSTR3.

Identifiants

pubmed: 37164537
pii: S0091-679X(22)00204-7
doi: 10.1016/bs.mcb.2022.12.016
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

181-197

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest statement The authors declare no conflict of interest.

Auteurs

Mark Tingey (M)

Department of Biology, Temple University, Philadelphia, PA, United States.

Andrew Ruba (A)

Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States.

Weidong Yang (W)

Department of Biology, Temple University, Philadelphia, PA, United States. Electronic address: weidong.yang@temple.edu.

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Classifications MeSH