Cargando…
Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds
Quantitative approaches to analyze the large data sets generated by single molecule localization super-resolution microscopy (SMLM) are limited. We developed a computational pipeline and applied it to analyzing 3D point clouds of SMLM localizations (event lists) of the caveolar coat protein, caveoli...
Autores principales: | Khater, Ismail M., Meng, Fanrui, Wong, Timothy H., Nabi, Ivan Robert, Hamarneh, Ghassan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998020/ https://www.ncbi.nlm.nih.gov/pubmed/29899348 http://dx.doi.org/10.1038/s41598-018-27216-4 |
Ejemplares similares
-
Super-resolution modularity analysis shows polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae
por: Khater, Ismail M., et al.
Publicado: (2019) -
Single molecule network analysis identifies structural changes to caveolae and scaffolds due to mutation of the caveolin-1 scaffolding domain
por: Wong, Timothy H., et al.
Publicado: (2021) -
Caveolae and scaffold detection from single molecule localization microscopy data using deep learning
por: Khater, Ismail M., et al.
Publicado: (2019) -
A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods
por: Khater, Ismail M., et al.
Publicado: (2020) -
Differential Impact of Caveolae and Caveolin-1 Scaffolds on The Membrane Raft Proteome
por: Zheng, Yu Zi, et al.
Publicado: (2011)