2022
Toward a hypothesis‐free understanding of how phosphorylation dynamically impacts protein turnover
Li W, Salovska B, Fornasiero E, Liu Y. Toward a hypothesis‐free understanding of how phosphorylation dynamically impacts protein turnover. Proteomics 2022, 23: e2100387. PMID: 36422574, PMCID: PMC10964180, DOI: 10.1002/pmic.202100387.Peer-Reviewed Original ResearchConceptsPost-translational modificationsProtein turnoverDynamic stable isotope labelingCell starvationStable isotope labelingData-independent acquisition mass spectrometryAcquisition mass spectrometryProteome levelTurnover diversityPhosphoproteomic datasetsPhosphorylation stoichiometryMetabolic labelingIsotope labelingMass spectrometryPhosphorylationAmino acidsCell culturesBiological perspectiveStarvationTurnoverTurnover measurementsRecent studiesSILACProteoformsPeptidoforms
2020
Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation
Salovska B, Zhu H, Gandhi T, Frank M, Li W, Rosenberger G, Wu C, Germain P, Zhou H, Hodny Z, Reiter L, Liu Y. Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation. Molecular Systems Biology 2020, 16: e9170. PMID: 32175694, PMCID: PMC7073818, DOI: 10.15252/msb.20199170.Peer-Reviewed Original ResearchConceptsProtein degradationGenome-wide correlation analysisGene dosage variationProtein abundance levelsStable isotope-labeled amino acidsIndividual protein isoformsSpecific biological processesAlternative splicing isoformsData-independent acquisition mass spectrometryIsotope-labeled amino acidsAcquisition mass spectrometryProtein degradation ratesIntron retentionCellular functionsProtein isoformsSplicing isoformsCellular organellesTranscriptome variabilitySame geneTurnover controlRegulatory mechanismsBiological processesSpecific mRNAsTight associationAbundance levels