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
2019
motifeR: An Integrated Web Software for Identification and Visualization of Protein Posttranslational Modification Motifs
Wang S, Cai Y, Cheng J, Li W, Liu Y, Yang H. motifeR: An Integrated Web Software for Identification and Visualization of Protein Posttranslational Modification Motifs. Proteomics 2019, 19: e1900245. PMID: 31622013, DOI: 10.1002/pmic.201900245.Peer-Reviewed Original ResearchConceptsUser-friendly web toolWeb softwarePublic datasetsBioinformatics backgroundLarge datasetsWeb toolMotif discoveryOptional featuresDatasetPresentation of motivesExponential growthLocation probabilitySoftwareKinase-substrate relationsModification sitesProtein post-translational modificationsPost-translational modificationsUsabilityUsersToolToolkitNetworkModification motifsPhosphoproteomic datasetsSite enrichment