Rizzoli, Silvio O.

[["dc.bibliographiccitation.firstpage","3333"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Nature Protocols"],["dc.bibliographiccitation.lastpage","3365"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Mandad, Sunit"],["dc.contributor.author","Ischebeck, Till"],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Fornasiero, Eugenio F."],["dc.date.accessioned","2020-12-10T18:10:05Z"],["dc.date.available","2020-12-10T18:10:05Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1038/s41596-019-0222-y"],["dc.identifier.pmid","31685960"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73844"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/110"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/80"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | A03: Dynamische Analyse der Remodellierung der extrazellulären Matrix (ECM) als Mechanismus der Synapsenorganisation und Plastizität"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.relation.workinggroup","RG Urlaub (Bioanalytische Massenspektrometrie)"],["dc.title","A mass spectrometry workflow for measuring protein turnover rates in vivo"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","eabn4437"],["dc.bibliographiccitation.issue","20"],["dc.bibliographiccitation.journal","Science Advances"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Kluever, Verena"],["dc.contributor.author","Russo, Belisa"],["dc.contributor.author","Mandad, Sunit"],["dc.contributor.author","Kumar, Nisha Hemandhar"],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Ori, Alessandro"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Schneider, Anja"],["dc.contributor.author","Fornasiero, Eugenio F."],["dc.date.accessioned","2022-06-01T09:39:33Z"],["dc.date.available","2022-06-01T09:39:33Z"],["dc.date.issued","2022"],["dc.description.abstract","Aging is a prominent risk factor for neurodegenerative disorders (NDDs); however, the molecular mechanisms rendering the aged brain particularly susceptible to neurodegeneration remain unclear. Here, we aim to determine the link between physiological aging and NDDs by exploring protein turnover using metabolic labeling and quantitative pulse-SILAC proteomics. By comparing protein lifetimes between physiologically aged and young adult mice, we found that in aged brains protein lifetimes are increased by ~20% and that aging affects distinct pathways linked to NDDs. Specifically, a set of neuroprotective proteins are longer-lived in aged brains, while some mitochondrial proteins linked to neurodegeneration are shorter-lived. Strikingly, we observed a previously unknown alteration in proteostasis that correlates to parsimonious turnover of proteins with high biosynthetic costs, revealing an overall metabolic adaptation that preludes neurodegeneration. Our findings suggest that future therapeutic paradigms, aimed at addressing these metabolic adaptations, might be able to delay NDD onset."],["dc.description.abstract","Physiological brain aging affects protein turnover, altering the stability of proteins linked to neurodegenerative diseases."],["dc.identifier.doi","10.1126/sciadv.abn4437"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108506"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2375-2548"],["dc.title","Protein lifetimes in aged brains reveal a proteostatic adaptation linking physiological aging to neurodegeneration"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","4230"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Fornasiero, Eugenio F."],["dc.contributor.author","Mandad, Sunit"],["dc.contributor.author","Wildhagen, Hanna"],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Rammner, Burkhard"],["dc.contributor.author","Keihani, Sarva"],["dc.contributor.author","Opazo, Felipe"],["dc.contributor.author","Urban, Inga"],["dc.contributor.author","Ischebeck, Till"],["dc.contributor.author","Sakib, M. Sadman"],["dc.contributor.author","Fard, Maryam K."],["dc.contributor.author","Kirli, Koray"],["dc.contributor.author","Centeno, Tonatiuh Pena"],["dc.contributor.author","Vidal, Ramon O."],["dc.contributor.author","Rahman, Raza-Ur"],["dc.contributor.author","Benito, Eva"],["dc.contributor.author","Fischer, André"],["dc.contributor.author","Dennerlein, Sven"],["dc.contributor.author","Rehling, Peter"],["dc.contributor.author","Feussner, Ivo"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Simons, Mikael"],["dc.contributor.author","Urlaub, Henning"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.date.accessioned","2019-07-09T11:46:03Z"],["dc.date.available","2019-07-09T11:46:03Z"],["dc.date.issued","2018"],["dc.description.abstract","The turnover of brain proteins is critical for organism survival, and its perturbations are linked to pathology. Nevertheless, protein lifetimes have been difficult to obtain in vivo. They are readily measured in vitro by feeding cells with isotopically labeled amino acids, followed by mass spectrometry analyses. In vivo proteins are generated from at least two sources: labeled amino acids from the diet, and non-labeled amino acids from the degradation of pre-existing proteins. This renders measurements difficult. Here we solved this problem rigorously with a workflow that combines mouse in vivo isotopic labeling, mass spectrometry, and mathematical modeling. We also established several independent approaches to test and validate the results. This enabled us to measure the accurate lifetimes of ~3500 brain proteins. The high precision of our data provided a large set of biologically significant observations, including pathway-, organelle-, organ-, or cell-specific effects, along with a comprehensive catalog of extremely long-lived proteins (ELLPs)."],["dc.identifier.doi","10.1038/s41467-018-06519-0"],["dc.identifier.pmid","30315172"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15388"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59372"],["dc.identifier.url","https://sfb1190.med.uni-goettingen.de/production/literature/publications/42"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/41"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/15611 but duplicate"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/339580/EU//MITRAC"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/614765/EU//NEUROMOLANATOMY"],["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 | A03: Dynamische Analyse der Remodellierung der extrazellulären Matrix (ECM) als Mechanismus der Synapsenorganisation und Plastizität"],["dc.relation.issn","2041-1723"],["dc.relation.workinggroup","RG Rehling (Mitochondrial Protein Biogenesis)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.relation.workinggroup","RG Urlaub (Bioanalytische Massenspektrometrie)"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","573"],["dc.subject.ddc","612"],["dc.title","Precisely measured protein lifetimes in the mouse brain reveal differences across tissues and subcellular fractions."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","10226"],["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","Nanoscale"],["dc.bibliographiccitation.lastpage","10239"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Sograte-Idrissi, Shama"],["dc.contributor.author","Schlichthaerle, Thomas"],["dc.contributor.author","Duque-Afonso, Carlos J."],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Strauss, Sebastian"],["dc.contributor.author","Moser, Tobias"],["dc.contributor.author","Jungmann, Ralf"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Opazo, Felipe"],["dc.date.accessioned","2021-04-14T08:26:44Z"],["dc.date.available","2021-04-14T08:26:44Z"],["dc.date.issued","2020"],["dc.description.abstract","A standard procedure to study cellular elements is via immunostaining followed by optical imaging. This methodology typically requires target-specific primary antibodies (1.Abs), which are revealed by secondary antibodies (2.Abs). Unfortunately, the antibody bivalency, polyclonality, and large size can result in a series of artifacts. Alternatively, small, monovalent probes, such as single-domain antibodies (nanobodies) have been suggested to minimize these limitations. The discovery and validation of nanobodies against specific targets are challenging, thus only a minimal amount of them are currently available. Here, we used STED, DNA-PAINT, and light-sheet microscopy, to demonstrate that secondary nanobodies (1) increase localization accuracy compared to 2.Abs; (2) allow direct pre-mixing with 1.Abs before staining, reducing experimental time, and enabling the use of multiple 1.Abs from the same species; (3) penetrate thick tissues more efficiently; and (4) avoid probe-induced clustering of target molecules observed with conventional 2.Abs in living or poorly fixed samples. Altogether, we show how secondary nanobodies are a valuable alternative to 2.Abs."],["dc.identifier.doi","10.1039/d0nr00227e"],["dc.identifier.pmid","32356544"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82054"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/185"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","2040-3372"],["dc.relation.haserratum","/handle/2/81970"],["dc.relation.issn","2040-3364"],["dc.relation.workinggroup","RG Moser (Molecular Anatomy, Physiology and Pathology of Sound Encoding)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.rights","CC BY 3.0"],["dc.title","Circumvention of common labelling artefacts using secondary nanobodies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Sograte-Idrissi, Shama"],["dc.contributor.author","Schlichthaerle, Thomas"],["dc.contributor.author","Duque-Afonso, Carlos J."],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Strauss, Sebastian"],["dc.contributor.author","Moser, Tobias"],["dc.contributor.author","Jungmann, Ralf"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Opazo, Felipe"],["dc.date.accessioned","2021-04-29T08:36:32Z"],["dc.date.available","2021-04-29T08:36:32Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1101/818351"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/84560"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/17"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.workinggroup","RG Moser (Molecular Anatomy, Physiology and Pathology of Sound Encoding)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.title","Circumvention of common labeling artifacts using secondary nanobodies"],["dc.type","preprint"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","24543"],["dc.bibliographiccitation.issue","48"],["dc.bibliographiccitation.journal","Nanoscale"],["dc.bibliographiccitation.lastpage","24543"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Sograte-Idrissi, Shama"],["dc.contributor.author","Schlichthaerle, Thomas"],["dc.contributor.author","Duque-Afonso, Carlos J."],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Strauss, Sebastian"],["dc.contributor.author","Moser, Tobias"],["dc.contributor.author","Jungmann, Ralf"],["dc.contributor.author","Rizzoli, Silvio O."],["dc.contributor.author","Opazo, Felipe"],["dc.date.accessioned","2021-04-14T08:26:30Z"],["dc.date.available","2021-04-14T08:26:30Z"],["dc.date.issued","2020"],["dc.description.abstract","Correction for ‘Circumvention of common labelling artefacts using secondary nanobodies’ by Shama Sograte-Idrissi et al., Nanoscale, 2020, 12, 10226–10239, DOI: 10.1039/D0NR00227E."],["dc.identifier.doi","10.1039/d0nr90279a"],["dc.identifier.pmid","33306074"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81970"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/419"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","2040-3372"],["dc.relation.iserratumof","/handle/2/82054"],["dc.relation.issn","2040-3364"],["dc.relation.workinggroup","RG Moser (Molecular Anatomy, Physiology and Pathology of Sound Encoding)"],["dc.relation.workinggroup","RG Rizzoli (Quantitative Synaptology in Space and Time)"],["dc.rights","CC BY 3.0"],["dc.title","Correction: Circumvention of common labelling artefacts using secondary nanobodies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","erratum_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]