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
2020
Multi-in-One: Multiple-Proteases, One-Hour-Shot Strategy for Fast and High-Coverage Phosphoproteomic Investigation
Gao X, Li Q, Liu Y, Zeng R. Multi-in-One: Multiple-Proteases, One-Hour-Shot Strategy for Fast and High-Coverage Phosphoproteomic Investigation. Analytical Chemistry 2020, 92: 8943-8951. PMID: 32479063, DOI: 10.1021/acs.analchem.0c00906.Peer-Reviewed Original ResearchA Global Screen for Assembly State Changes of the Mitotic Proteome by SEC-SWATH-MS
Heusel M, Frank M, Köhler M, Amon S, Frommelt F, Rosenberger G, Bludau I, Aulakh S, Linder MI, Liu Y, Collins BC, Gstaiger M, Kutay U, Aebersold R. A Global Screen for Assembly State Changes of the Mitotic Proteome by SEC-SWATH-MS. Cell Systems 2020, 10: 133-155.e6. PMID: 32027860, PMCID: PMC7042714, DOI: 10.1016/j.cels.2020.01.001.Peer-Reviewed Original ResearchConceptsSEC-SWATHHundreds of complexesThousands of proteinsAssembly state changesMitotic proteomeProtein complexesProteomic studiesGlobal screenHuman cellsComplex remodelingHigher-level organizationBiological researchKey hallmarksBiochemical reactionsInteractive exploration toolProteinFunctional stateSpecific changesComplexesProteomeCellsMitosisHallmarkRemodelingInterphase
2019
Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry
Bouchal P, Schubert OT, Faktor J, Capkova L, Imrichova H, Zoufalova K, Paralova V, Hrstka R, Liu Y, Ebhardt HA, Budinska E, Nenutil R, Aebersold R. Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry. Cell Reports 2019, 28: 832-843.e7. PMID: 31315058, PMCID: PMC6656695, DOI: 10.1016/j.celrep.2019.06.046.Peer-Reviewed Original Research
2012
Integrative Proteomics and Tissue Microarray Profiling Indicate the Association between Overexpressed Serum Proteins and Non-Small Cell Lung Cancer
Liu Y, Luo X, Hu H, Wang R, Sun Y, Zeng R, Chen H. Integrative Proteomics and Tissue Microarray Profiling Indicate the Association between Overexpressed Serum Proteins and Non-Small Cell Lung Cancer. PLOS ONE 2012, 7: e51748. PMID: 23284758, PMCID: PMC3526638, DOI: 10.1371/journal.pone.0051748.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerTissue microarray analysisCell lung cancerLung cancerLung cancer patientsPotential serum biomarkersSerum proteinsBlood levelsCancer deathCancer patientsSerum biomarkersTissue microarray profilingAlpha 1BTumor sectionsSignificant associationCancerEarly detectionSerum proteomics datasetMultiple reaction monitoringPatientsMicroarray profilingLabel-free quantitative proteomicsAbnormal biological processesHealthy casesMicroarray analysis