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Cited by 572

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FM‐dyes as experimental probes for dissecting vesicle trafficking in living plant cells

Bolte, S., Talbot, C., Boutte, Y., Catrice, O., Read, N. D., Satiat‐Jeunemaitre, B.·2004·Journal of Microscopy

Abstract

Summary: FM‐dyes are widely used to study endocytosis, vesicle trafficking and organelle organization in living eukaryotic cells. The increasing use of FM‐dyes in plant cells has provoked much debate with regard to their suitability as endocytosis markers, which organelles they stain and the precise pathways they follow through the vesicle trafficking network. A primary aim of this article is to assess critically the current status of this debate in plant cells. For this purpose, background information on the important characteristics of the FM‐dyes, and of optimal dye concentrations, conditions of dye storage, and staining and imaging protocols, are provided. Particular emphasis is placed on using the FM‐dyes in double labelling experiments to identity specific organelles. In this way, staining of the Golgi with FM4‐64 has been demonstrated for the first time.

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Metadata

Authors
Bolte, S., Talbot, C., Boutte, Y., Catrice, O., Read, N. D., & Satiat‐Jeunemaitre, B.
Venue
Journal of Microscopy
Publisher
Wiley
Published
2004-04-26
Volume
214
Issue
2
Pages
159-173
ISSN
  • 0022-2720 (ISSN-L)
  • 1365-2818
OpenAlex
W1964945634
Cited by
572
References
0
FWCI
9.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: FM‐dyes as experimental probes for dissecting vesicle trafficking in living plant cells. https://app.cochat.ai/papers/10.1111/j.0022-2720.2004.01348.x
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Bolte, S., Talbot, C., Boutte, Y., Catrice, O., Read, N. D., & Satiat‐Jeunemaitre, B. (2004). FM‐dyes as experimental probes for dissecting vesicle trafficking in living plant cells. Journal of Microscopy. https://doi.org/10.1111/j.0022-2720.2004.01348.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.