Single-particle tracking photoactivated localization microscopy of membrane proteins in living plant tissues

被引:0
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作者
Vincent Bayle
Jean-Bernard Fiche
Claire Burny
Matthieu Pierre Platre
Marcelo Nollmann
Alexandre Martinière
Yvon Jaillais
机构
[1] Université de Lyon,Laboratoire Reproduction et Développement des Plantes
[2] ENS de Lyon,Centre de Biochimie Structurale
[3] UCB Lyon 1,Institut für Populationsgenetik
[4] CNRS,Vienna Graduate School of Population Genetics
[5] INRAE,undefined
[6] Centre National de la Recherche Scientifique Unité Mixte de Recherche 5048,undefined
[7] Institut National de la Santé et de la Recherche Médicale U1054,undefined
[8] Université de Montpellier,undefined
[9] Vetmeduni Vienna,undefined
[10] Vetmeduni Vienna,undefined
[11] BPMP,undefined
[12] Univ Montpellier,undefined
[13] CNRS,undefined
[14] INRAE,undefined
[15] Montpellier SupAgro,undefined
来源
Nature Protocols | 2021年 / 16卷
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摘要
Super-resolution microscopy techniques have pushed the limit of optical imaging to unprecedented spatial resolutions. However, one of the frontiers in nanoscopy is its application to intact living organisms. Here we describe the implementation and application of super-resolution single-particle tracking photoactivated localization microscopy (sptPALM) to probe single-molecule dynamics of membrane proteins in live roots of the model plant Arabidopsis thaliana. We first discuss the advantages and limitations of sptPALM for studying the diffusion properties of membrane proteins and compare this to fluorescence recovery after photobleaching (FRAP) and fluorescence correlation spectroscopy (FCS). We describe the technical details for handling and imaging the samples for sptPALM, with a particular emphasis on the specificity of imaging plant cells, such as their thick cell walls or high degree of autofluorescence. We then provide a practical guide from data collection to image analyses. In particular, we introduce our sptPALM_viewer software and describe how to install and use it for analyzing sptPALM experiments. Finally, we report an R statistical analysis pipeline to analyze and compare sptPALM experiments. Altogether, this protocol should enable plant researchers to perform sptPALM using a benchmarked reproducible protocol. Routinely, the procedure takes 3–4 h of imaging followed by 3–4 d of image processing and data analysis.
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页码:1600 / 1628
页数:28
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