Scientific article
Open access

Isolation and Fluorescence Imaging for Single-particle Reconstruction of Chlamydomonas Centrioles

Published inJournal of visualized experiments, no. 139, p. 1-12; e58109
Publication date2018-09-21
First online date2018-09-21

Centrioles are large macromolecular assemblies important for the proper execution of fundamental cell biological processes such as cell division, cell motility, or cell signaling. The green algae Chlamydomonas reinhardtii has proven to be an insightful model in the study of centriole architecture, function, and protein composition. Despite great advances toward understanding centriolar architecture, one of the current challenges is to determine the precise localization of centriolar components within structural regions of the centriole in order to better understand their role in centriole biogenesis. A major limitation lies in the resolution of fluorescence microscopy, which complicates the interpretation of protein localization in this organelle with dimensions close to the diffraction limit. To tackle this question, we are providing a method to purify and image a large number of C. reinhardtii centrioles with different orientations using super-resolution microscopy. This technique allows further processing of data through fluorescent single-particle averaging (Fluo-SPA) owing to the large number of centrioles acquired. Fluo-SPA generates averages of stained C. reinhardtii centrioles in different orientations, thus facilitating the localization of distinct proteins in centriolar sub-regions. Importantly, this method can be applied to image centrioles from other species or other large macromolecular assemblies.

  • Biology
  • Issue 139
  • Centrioles
  • Basal body
  • Fluorescence microscopy
  • Organelle isolation
  • Single-particle averaging
  • Chlamydomonas reinhardtii
  • Super-resolution microscopy
Citation (ISO format)
KLENA, Nikolai et al. Isolation and Fluorescence Imaging for Single-particle Reconstruction of <em>Chlamydomonas</em> Centrioles. In: Journal of visualized experiments, 2018, n° 139, p. 1–12. doi: 10.3791/58109-v
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Article (Published version)
ISSN of the journal1940-087X

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