Rizzoli, Silvio O.

[["dc.bibliographiccitation.issue","16"],["dc.bibliographiccitation.journal","The EMBO Journal"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Reshetniak, Sofiia"],["dc.contributor.author","Ußling, Jan‐Eike"],["dc.contributor.author","Perego, Eleonora"],["dc.contributor.author","Rammner, Burkhard"],["dc.contributor.author","Schikorski, Thomas"],["dc.contributor.author","Fornasiero, Eugenio F."],["dc.contributor.author","Truckenbrodt, Sven"],["dc.contributor.author","Köster, Sarah"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.date.accessioned","2021-04-14T08:23:53Z"],["dc.date.available","2021-04-14T08:23:53Z"],["dc.date.issued","2020"],["dc.description.abstract","Abstract Many proteins involved in synaptic transmission are well known, and their features, as their abundance or spatial distribution, have been analyzed in systematic studies. This has not been the case, however, for their mobility. To solve this, we analyzed the motion of 45 GFP‐tagged synaptic proteins expressed in cultured hippocampal neurons, using fluorescence recovery after photobleaching, particle tracking, and modeling. We compared synaptic vesicle proteins, endo‐ and exocytosis cofactors, cytoskeleton components, and trafficking proteins. We found that movement was influenced by the protein association with synaptic vesicles, especially for membrane proteins. Surprisingly, protein mobility also correlated significantly with parameters as the protein lifetimes, or the nucleotide composition of their mRNAs. We then analyzed protein movement thoroughly, taking into account the spatial characteristics of the system. This resulted in a first visualization of overall protein motion in the synapse, which should enable future modeling studies of synaptic physiology."],["dc.description.abstract","Synopsis image Live imaging reveals global protein dynamics in the synaptic bouton, providing a first visualization of overall protein motion in the synapse and showing connections between various protein characteristics and mobility in vivo. Membrane proteins display lower mobility rates than soluble proteins. Proteins are less mobile in synaptic boutons than in axons. Protein mobility is strongly influenced by the protein association with synaptic vesicles. Amino acid composition, mRNA nucleotide composition, and protein lifetimes correlate with mobility parameters. Provided diffusion coefficients for 45 synaptic proteins can be used to generate models of synaptic physiology."],["dc.description.abstract","Live imaging reveals global protein dynamics in the synaptic bouton, providing a first visualization of overall protein motion in the synapse and showing connections between protein characteristics and mobility in vivo. image"],["dc.description.sponsorship","European Research Council http://dx.doi.org/10.13039/100010663"],["dc.description.sponsorship","Germany's Excellence Strategy"],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659"],["dc.identifier.doi","10.15252/embj.2020104596"],["dc.identifier.pmid","32627850"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81086"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/54"],["dc.identifier.url","https://sfb1190.med.uni-goettingen.de/production/literature/publications/117"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/55"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation","SFB 1190: Transportmaschinen und Kontaktstellen zellulärer Kompartimente"],["dc.relation","SFB 1190 | P09: Proteinsortierung in der Synapse: Prinzipien und molekulare Organisation"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | B02: Ein in vitro-Verfahren zum Verständnis der struktur-organisierenden Rolle des Vesikel-Clusters"],["dc.relation","SFB 1286 | Z02: Integrative Datenanalyse und -interpretation. Generierung einer synaptisch-integrativen Datenstrategie (SynIDs)"],["dc.relation.eissn","1460-2075"],["dc.relation.issn","0261-4189"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Köster (Cellular Biophysics)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.relation.workinggroup","RG Bonn"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.subject.gro","neuro biophysics"],["dc.subject.gro","molecular biophysics"],["dc.subject.gro","cellular biophysics"],["dc.title","A comparative analysis of the mobility of 45 proteins in the synaptic bouton"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Perego, Eleonora"],["dc.contributor.author","Reshetniak, Sofiia"],["dc.contributor.author","Lorenz, Charlotta"],["dc.contributor.author","Hoffmann, Christian"],["dc.contributor.author","Milovanović, Dragomir"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Köster, Sarah"],["dc.date.accessioned","2021-04-14T08:26:53Z"],["dc.date.available","2021-04-14T08:26:53Z"],["dc.date.issued","2020"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41598-020-77887-1"],["dc.identifier.pmid","33273508"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17819"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82109"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/98"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/65"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | B02: Ein in vitro-Verfahren zum Verständnis der struktur-organisierenden Rolle des Vesikel-Clusters"],["dc.relation.eissn","2045-2322"],["dc.relation.orgunit","Fakultät für Physik"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Köster (Cellular Biophysics)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.subject.gro","neuro biophysics"],["dc.subject.gro","molecular biophysics"],["dc.title","A minimalist model to measure interactions between proteins and synaptic vesicles"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]