2024
Multiscale modeling uncovers 7q11.23 copy number variation–dependent changes in ribosomal biogenesis and neuronal maturation and excitability
Mihailovich M, Germain P, Shyti R, Pozzi D, Noberini R, Liu Y, Aprile D, Tenderini E, Troglio F, Trattaro S, Fabris S, Ciptasari U, Rigoli M, Caporale N, D’Agostino G, Mirabella F, Vitriolo A, Capocefalo D, Skaros A, Franchini A, Ricciardi S, Biunno I, Neri A, Kasri N, Bonaldi T, Aebersold R, Matteoli M, Testa G. Multiscale modeling uncovers 7q11.23 copy number variation–dependent changes in ribosomal biogenesis and neuronal maturation and excitability. Journal Of Clinical Investigation 2024, 134: e168982. PMID: 39007270, PMCID: PMC11245157, DOI: 10.1172/jci168982.Peer-Reviewed Original ResearchConceptsCopy number variationsWilliams-Beuren syndromeRibosome biogenesisP-RPS6Neurodevelopmental disordersRibosomal genesP-4EBPNumber variationsTranslation factorsMicroduplication syndromeMolecular mechanismsGenesNeuronal differentiationPatient-derivedIntrinsic excitabilityMTOR pathwayBiogenesisNeuronal maturationPhosphorylated rpS6Neuronal transmissionWilliams-BeurenPathophysiological relevanceNeurocognitive featuresIntellectual disabilityDisease models
2015
Quantitative variability of 342 plasma proteins in a human twin population
Liu Y, Buil A, Collins BC, Gillet L, Blum LC, Cheng LY, Vitek O, Mouritsen J, Lachance G, Spector TD, Dermitzakis ET, Aebersold R. Quantitative variability of 342 plasma proteins in a human twin population. Molecular Systems Biology 2015, 11: 786. PMID: 25652787, PMCID: PMC4358658, DOI: 10.15252/msb.20145728.Peer-Reviewed Original ResearchConceptsQuantitative variabilityUnique plasma proteinsBlood-based biomarker studiesGenetic controlBiological processesDifferent proteinsDifferent traitsPlasma proteinsProteinAbundance variabilityProtein levelsHuman populationMass spectrometry techniquesSpecific plasma proteinsHuman plasma proteinsGenesRelative contributionTraitsHeritabilitySpectrometry techniquesTwin study designDifferent patternsPopulationClinical biomarkersVariability