Featured Publications
Global and Site-Specific Effect of Phosphorylation on Protein Turnover
Wu C, Ba Q, Lu D, Li W, Salovska B, Hou P, Mueller T, Rosenberger G, Gao E, Di Y, Zhou H, Fornasiero EF, Liu Y. Global and Site-Specific Effect of Phosphorylation on Protein Turnover. Developmental Cell 2020, 56: 111-124.e6. PMID: 33238149, PMCID: PMC7855865, DOI: 10.1016/j.devcel.2020.10.025.Peer-Reviewed Original ResearchConceptsProtein turnoverProtein lifetimeCyclin-dependent kinase substrateStable isotope-labeled amino acidsSite-specific phosphorylationPulse-labeling approachIsotope-labeled amino acidsMass spectrometry-based methodCell fitnessKinase substratePhosphorylation sitesPhosphorylated sitesProteomic methodsCell signalingSpectrometry-based methodsLive cellsAmino acidsPhosphositesRich resourceDisease biologyLabeling approachPhosphorylationModification typesGlutamic acidTurnover
2024
Network-based elucidation of colon cancer drug resistance mechanisms by phosphoproteomic time-series analysis
Rosenberger G, Li W, Turunen M, He J, Subramaniam P, Pampou S, Griffin A, Karan C, Kerwin P, Murray D, Honig B, Liu Y, Califano A. Network-based elucidation of colon cancer drug resistance mechanisms by phosphoproteomic time-series analysis. Nature Communications 2024, 15: 3909. PMID: 38724493, PMCID: PMC11082183, DOI: 10.1038/s41467-024-47957-3.Peer-Reviewed Original ResearchConceptsMechanism of cell responseResistance mechanismsSignaling pathway responsesDrug resistance mechanismsEnzyme/substrate interactionsAdaptive resistance mechanismsNetwork rewiringPhosphorylation stateSignaling pathway activationDrug perturbationsProteomic technologiesSignaling crosstalkPathway responsesInhibitor designPathway activationCancer drug resistance mechanismsCell adaptive responsesAdaptive responsePhosphatase activityNetwork-based methodologyRewiringTherapeutic efficacyPhosphoproteome coverageCell responsesControl mediumEGFR targeting PhosTACs as a dual inhibitory approach reveals differential downstream signaling
Hu Z, Chen P, Li W, Krone M, Zheng S, Saarbach J, Velasco I, Hines J, Liu Y, Crews C. EGFR targeting PhosTACs as a dual inhibitory approach reveals differential downstream signaling. Science Advances 2024, 10: eadj7251. PMID: 38536914, PMCID: PMC10971414, DOI: 10.1126/sciadv.adj7251.Peer-Reviewed Original ResearchMeSH KeywordsApoptosisCell Line, TumorErbB ReceptorsHumansPhosphorylationProteolysis Targeting ChimeraSignal TransductionTyrosineConceptsInhibit cancer cell viabilityProteome-wide levelCancer cell viabilityDifferential signaling pathwaysPhosphoproteomic approachTyrosine dephosphorylationProtein dephosphorylationSignal transductionActivating dephosphorylationInduce apoptosisReceptor tyrosine kinase inhibitorsRTK activationSignaling pathwayInhibition of kinasesDephosphorylationEpidermal growth factor receptorGrowth factor receptorCell viabilityFactor receptorInhibitory approachesTyrosineTyrosine kinase inhibitorsInhibitory effectInhibitory potentialKinase inhibitors
2022
Human WDR5 promotes breast cancer growth and metastasis via KMT2-independent translation regulation
Cai WL, Chen JF, Chen H, Wingrove E, Kurley SJ, Chan LH, Zhang M, Arnal-Estape A, Zhao M, Balabaki A, Li W, Yu X, Krop ED, Dou Y, Liu Y, Jin J, Westbrook TF, Nguyen DX, Yan Q. Human WDR5 promotes breast cancer growth and metastasis via KMT2-independent translation regulation. ELife 2022, 11: e78163. PMID: 36043466, PMCID: PMC9584608, DOI: 10.7554/elife.78163.Peer-Reviewed Original ResearchConceptsBreast cancer cellsMetastatic breast cancerBreast cancerRibosomal gene expressionCancer cellsKnockdown of WDR5Vivo genetic screenReversible epigenetic mechanismsGenetic screenTranslation regulationTriple-negative breast cancerEpigenetic regulatorsEpigenetic mechanismsBreast cancer growthCancer-related deathTranslation efficiencyWDR5Novel therapeutic strategiesTranslation rateGene expressionCell growthAdvanced diseaseEffective therapyMetastatic capabilityPotent suppression
2021
Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypes
Gao E, Li W, Wu C, Shao W, Di Y, Liu Y. Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypes. Molecular Omics 2021, 17: 413-425. PMID: 33728422, PMCID: PMC8205956, DOI: 10.1039/d0mo00188k.Peer-Reviewed Original Research
2019
Combining Rapid Data Independent Acquisition and CRISPR Gene Deletion for Studying Potential Protein Functions: A Case of HMGN1
Mehnert M, Li W, Wu C, Salovska B, Liu Y. Combining Rapid Data Independent Acquisition and CRISPR Gene Deletion for Studying Potential Protein Functions: A Case of HMGN1. Proteomics 2019, 19: e1800438. PMID: 30901150, DOI: 10.1002/pmic.201800438.Peer-Reviewed Original ResearchMeSH KeywordsCell Line, TumorCell ProliferationChromatinCRISPR-Cas SystemsGene DeletionGene EditingHeLa CellsHMGN1 ProteinHumansProteomicsConceptsChromosomal protein HMG-14DIA-MSDIA mass spectrometryPotential protein functionsCRISPR-Cas gene editingImmune regulation processesCancer cellsExtracellular proteomeChromatin structureHistone inactivationFunctional annotationProtein functionCellular functionsRegulation eventsImportant functional implicationsHMG 14Gene knockoutEnrichment analysisData-independent acquisitionHMGN1Protein deletionCRISPR experimentsGene editingStress pathwaysIndependent acquisitionAssessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition
Li W, Chi H, Salovska B, Wu C, Sun L, Rosenberger G, Liu Y. Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition. Journal Of The American Society For Mass Spectrometry 2019, 30: 1396-1405. PMID: 31147889, DOI: 10.1007/s13361-019-02243-1.Peer-Reviewed Original Research
2011
A high-quality secretome of A549 cells aided the discovery of C4b-binding protein as a novel serum biomarker for non-small cell lung cancer
Luo X, Liu Y, Wang R, Hu H, Zeng R, Chen H. A high-quality secretome of A549 cells aided the discovery of C4b-binding protein as a novel serum biomarker for non-small cell lung cancer. Journal Of Proteomics 2011, 74: 528-538. PMID: 21262398, DOI: 10.1016/j.jprot.2011.01.011.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCellular proteomeCell lung cancerCancer secretomeLung cancerOne-dimensional gel electrophoresisA549 cellsBiomarker discoveryProteomic dataGene expressionSecretory proteinsIntracellular contaminationNovel promising biomarkerNovel serum biomarkersEnzyme-linked immunosorbent assaySecretomeProteinSerum proteomic dataClinical stagingProteomeSerum biomarkersGel electrophoresisC4BP levelsPromising biomarkerImmunosorbent assay