Optimization of sample preparation and green color imaging using the mNeonGreen fluorescent protein in bacterial cells for photoactivated localization microscopy.

Détails

Ressource 1Télécharger: s41598-018-28472-0.pdf (4405.33 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_AF489DBA71A2
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Optimization of sample preparation and green color imaging using the mNeonGreen fluorescent protein in bacterial cells for photoactivated localization microscopy.
Périodique
Scientific Reports
Auteur⸱e⸱s
Stockmar I., Feddersen H., Cramer K., Gruber S., Jung K., Bramkamp M., Shin J.Y.
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Volume
8
Numéro
1
Pages
10137
Langue
anglais
Résumé
mNeonGreen fluorescent protein is capable of photo-switching, hence in principle applicable for super-resolution imaging. However, difficult-to-control blinking kinetics that lead to simultaneous emission of multiple nearby mNeonGreen molecules impedes its use for PALM. Here, we determined the on- and off- switching rate and the influence of illumination power on the simultaneous emission. Increasing illumination power reduces the probability of simultaneous emission, but not enough to generate high quality PALM images. Therefore, we introduce a simple data post-processing step that uses temporal and spatial information of molecule localizations to further reduce artifacts arising from simultaneous emission of nearby emitters. We also systematically evaluated various sample preparation steps to establish an optimized protocol to preserve cellular morphology and fluorescence signal. In summary, we propose a workflow for super-resolution imaging with mNeonGreen based on optimization of sample preparation, data acquisition and simple post-acquisition data processing. Application of our protocol enabled us to resolve the expected double band of bacterial cell division protein DivIVA, and to visualize that the chromosome organization protein ParB organized into sub-clusters instead of the typically observed diffraction-limited foci. We expect that our workflow allows a broad use of mNeonGreen for super-resolution microscopy, which is so far difficult to achieve.
Pubmed
Web of science
Open Access
Oui
Création de la notice
29/07/2018 12:11
Dernière modification de la notice
20/08/2019 15:18
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