2016
Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity
Zhong Q, Rüschoff JH, Guo T, Gabrani M, Schüffler PJ, Rechsteiner M, Liu Y, Fuchs TJ, Rupp NJ, Fankhauser C, Buhmann JM, Perner S, Poyet C, Blattner M, Soldini D, Moch H, Rubin MA, Noske A, Rüschoff J, Haffner MC, Jochum W, Wild PJ. Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity. Scientific Reports 2016, 6: 24146. PMID: 27052161, PMCID: PMC4823793, DOI: 10.1038/srep24146.Peer-Reviewed Original ResearchAgedComputational BiologyDNA Copy Number VariationsEndometrial NeoplasmsFemaleGenetic HeterogeneityGenetic Predisposition to DiseaseHumansImmunohistochemistryIn Situ Hybridization, FluorescenceKaplan-Meier EstimateMaleMiddle AgedMutationNeoplasm StagingNeoplasmsOvarian NeoplasmsProstatic NeoplasmsPTEN PhosphohydrolaseReceptor, ErbB-2Stomach Neoplasms
2015
Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N‑Linked Glycosite-Containing Peptides in Serum
Thomas SN, Harlan R, Chen J, Aiyetan P, Liu Y, Sokoll LJ, Aebersold R, Chan DW, Zhang H. Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N‑Linked Glycosite-Containing Peptides in Serum. Analytical Chemistry 2015, 87: 10830-10838. PMID: 26451657, PMCID: PMC4708883, DOI: 10.1021/acs.analchem.5b02063.Peer-Reviewed Original ResearchMeSH KeywordsAgedChromatography, LiquidGlycosylationHumansMaleMass SpectrometryMiddle AgedPeptidesProstatic NeoplasmsConceptsGlycosite-containing peptidesClinical Proteomic Tumor Analysis ConsortiumParallel reaction monitoringNational Cancer Institute's Clinical Proteomic Tumor Analysis ConsortiumCommon protein modificationsProtein glycosylationProtein modificationBiological functionsAnalysis ConsortiumRelative abundanceTargeted Mass SpectrometryPRM assaysRobust assayPeak area ratioRelative peak area ratiosGlycoproteinReaction monitoringAssaysHuman serumMass spectrometryDisease statesPeptidesProstate cancer patient seraMS assayGlycosylationQuantitative 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: msb145728. 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
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