2016
Recurrent genetic defects in classical Hodgkin lymphoma cell lines
Hudnall SD, Meng H, Lozovatsky L, Li P, Strout M, Kleinstein SH. Recurrent genetic defects in classical Hodgkin lymphoma cell lines. Leukemia & Lymphoma 2016, 57: 2890-2900. PMID: 27121023, DOI: 10.1080/10428194.2016.1177179.Peer-Reviewed Original ResearchConceptsMitosis-related genesSingle nucleotide variantsCHL cell linesCell linesRecurrent genetic defectsPathogenic single nucleotide variantsHL cell linesMitotic genesChromosome duplicationClassical Hodgkin lymphoma cell linesGenomic instabilityGenetic analysisWhole-exome sequencingNucleotide variantsGenesHodgkin's lymphoma cell linesLymphoma cell linesNumber variantsKaryotypic analysisGenetic defectsWealth of informationPoor growthVariantsDuplicationLines
2012
Integrated analysis of tumor samples sheds light on tumor heterogeneity.
Parisi F, Micsinai M, Strino F, Ariyan S, Narayan D, Bacchiocchi A, Cheng E, Xu F, Li P, Kluger H, Halaban R, Kluger Y. Integrated analysis of tumor samples sheds light on tumor heterogeneity. The Yale Journal Of Biology And Medicine 2012, 85: 347-61. PMID: 23012583, PMCID: PMC3447199.Peer-Reviewed Original ResearchMeSH KeywordsCell Line, TumorChromosome MappingChromosomes, HumanDNA Copy Number VariationsEvolution, MolecularGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmHumansIntercellular Signaling Peptides and ProteinsKaryotypingMelanomaMutationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideProto-Oncogene Proteins B-rafConceptsHigh-throughput profilingGene expression levelsExpression levelsDifferent gene expression levelsGene expression profilingCopy number analysisExpression profilingSNP arrayPathway analysisCopy number statusWnt pathwayTumor samplesNumber alteration profilesTumor heterogeneityTumor evolutionCopy number alteration profilesGenomic aberrationsIntegrated analysisCell linesTumor subclonesNumber analysisNumber statusProfilingDriver mutationsRecurrent association