Observing and tracking single small ribosomal subunits in vivo.
RNA trafficking
Ribosomal biogenesis
Single particle tracking
Small ribosomal subunit
Snap-tag
Journal
Methods (San Diego, Calif.)
ISSN: 1095-9130
Titre abrégé: Methods
Pays: United States
ID NLM: 9426302
Informations de publication
Date de publication:
15 01 2019
15 01 2019
Historique:
received:
05
06
2018
revised:
31
08
2018
accepted:
03
09
2018
pubmed:
9
9
2018
medline:
12
9
2019
entrez:
9
9
2018
Statut:
ppublish
Résumé
Ribosomes are formed of a small and a large subunit (SSU/LSU), both consisting of rRNA and a plethora of accessory proteins. While biochemical and genetic studies identified most of the involved proteins and deciphered the ribosomal synthesis steps, our knowledge of the molecular dynamics of the different ribosomal subunits and also of the kinetics of their intracellular trafficking is still limited. Adopting a labelling strategy initially used to study mRNA export we were able to fluorescently stain the SSU in vivo. We chose DIM2/PNO1 (Defective In DNA Methylation 2/Partner of NOb1) as labelling target and created a stable cell line carrying an inducible SNAP-DIM2 fusion protein. After bulk labelling with a green fluorescent dye combined with very sparse labelling with a red fluorescent dye the nucleoli and single SSU could be visualized simultaneously in the green and red channel, respectively. We used single molecule microscopy to track single SSU in the nucleolus and nucleoplasm. Resulting trajectory data were analyzed by jump-distance analysis and the variational Bayes single-particle tracking approach. Both methods allowed identifying the number of diffusive states and the corresponding diffusion coefficients. For both nucleoli and nucleoplasm we could identify mobile (D = 2.3-2.8 µm
Identifiants
pubmed: 30194975
pii: S1046-2023(18)30085-9
doi: 10.1016/j.ymeth.2018.09.001
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
63-70Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.