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 ResearchMeSH KeywordsDNA Copy Number VariationsGenome, HumanGenomicsHeLa CellsHumansProteomeReproducibility of ResultsTranscriptomeConceptsCell 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
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