Featured Publications
Multi-omic measurements of heterogeneity in HeLa cells across laboratories
Liu Y, Mi Y, Mueller T, Kreibich S, Williams EG, Van Drogen A, Borel C, Frank M, Germain PL, Bludau I, Mehnert M, Seifert M, Emmenlauer M, Sorg I, Bezrukov F, Bena FS, Zhou H, Dehio C, Testa G, Saez-Rodriguez J, Antonarakis SE, Hardt WD, Aebersold R. Multi-omic measurements of heterogeneity in HeLa cells across laboratories. Nature Biotechnology 2019, 37: 314-322. PMID: 30778230, DOI: 10.1038/s41587-019-0037-y.Peer-Reviewed Original ResearchConceptsCell linesGenome-wide copy numberMulti-omic measurementsHuman cultured cellsProtein turnover ratesPhenotypic responsesGenomic variabilityDifferent cell linesHeLa variantsSpecific cell linesCopy numberHeLa cellsCultured cellsHeLa cell linePhenotypic variabilityProgressive divergenceTurnover rateCellsBiological variationTechnical variationUniform conditionsTranscriptomeProteomeSuccessive passagesLines
2021
BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples
Salovska B, Li W, Di Y, Liu Y. BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples. Analytical Chemistry 2021, 93: 3103-3111. PMID: 33533601, PMCID: PMC8959401, DOI: 10.1021/acs.analchem.0c04293.Peer-Reviewed Original ResearchConceptsData-independent acquisitionProtein turnoverDIA mass spectrometryStable isotope labelingValuable biological insightsRelative protein quantificationSerum starvation stressIsotopic labeling approachSILAC experimentsStarvation stressConventional DIA methodGas-phase separation strategyBiological insightsDegradation regulationIsotope labelingCultured cellsAmino acidsDIA-MSProtein quantificationLabeling approachPeptide pairsCell culturesBiological investigationsMultiplexed acquisitionComplex samples