Vidal, Ramon Oliveira

[["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","1300"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Genes & Development"],["dc.bibliographiccitation.lastpage","1312"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Nemajerova, Alice"],["dc.contributor.author","Kramer, Daniela"],["dc.contributor.author","Siller, Saul S."],["dc.contributor.author","Herr, Christian"],["dc.contributor.author","Shomroni, Orr"],["dc.contributor.author","Pena, Tonatiuh"],["dc.contributor.author","Suazo, Cristina Gallinas"],["dc.contributor.author","Glaser, Katharina"],["dc.contributor.author","Wildung, Merit"],["dc.contributor.author","Steffen, Henrik"],["dc.contributor.author","Sriraman, Anusha"],["dc.contributor.author","Oberle, Fabian"],["dc.contributor.author","Wienken, Magdalena"],["dc.contributor.author","Hennion, Magali"],["dc.contributor.author","Vidal, Ramon"],["dc.contributor.author","Royen, Bettina"],["dc.contributor.author","Alevra, Mihai"],["dc.contributor.author","Schild, Detlev"],["dc.contributor.author","Bals, Robert"],["dc.contributor.author","Doenitz, Juergen"],["dc.contributor.author","Riedel, Dietmar"],["dc.contributor.author","Bonn, Stefan"],["dc.contributor.author","Takemaru, Ken-Ichi"],["dc.contributor.author","Moll, Ute M."],["dc.contributor.author","Lize, Muriel"],["dc.date.accessioned","2018-11-07T10:13:24Z"],["dc.date.available","2018-11-07T10:13:24Z"],["dc.date.issued","2016"],["dc.description.abstract","Motile multiciliated cells (MCCs) have critical roles in respiratory health and disease and are essential for cleaning inhaled pollutants and pathogens from airways. Despite their significance for human disease, the transcriptional control that governs multiciliogenesis remains poorly understood. Here we identify TP73, a p53 homolog, as governing the program for airway multiciliogenesis. Mice with TP73 deficiency suffer from chronic respiratory tract infections due to profound defects in ciliogenesis and complete loss of mucociliary clearance. Organotypic airway cultures pinpoint TAp73 as necessary and sufficient for basal body docking, axonemal extension, and motility during the differentiation of MCC progenitors. Mechanistically, cross-species genomic analyses and complete ciliary rescue of knockout MCCs identify TAp73 as the conserved central transcriptional integrator of multiciliogenesis. TAp73 directly activates the key regulators FoxJ1, Rfx2, Rfx3, and miR34bc plus nearly 50 structural and functional ciliary genes, some of which are associated with human ciliopathies. Our results position TAp73 as a novel central regulator of MCC differentiation."],["dc.identifier.doi","10.1101/gad.279836.116"],["dc.identifier.isi","000378084000006"],["dc.identifier.pmid","27257214"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/40428"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Cold Spring Harbor Lab Press, Publications Dept"],["dc.relation.issn","1549-5477"],["dc.relation.issn","0890-9369"],["dc.title","TAp73 is a central transcriptional regulator of airway multiciliogenesis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]