Featured Publications
Glioma progression is shaped by genetic evolution and microenvironment interactions
Varn F, Johnson K, Martinek J, Huse J, Nasrallah M, Wesseling P, Cooper L, Malta T, Wade T, Sabedot T, Brat D, Gould P, Wöehrer A, Aldape K, Ismail A, Sivajothi S, Barthel F, Kim H, Kocakavuk E, Ahmed N, White K, Datta I, Moon H, Pollock S, Goldfarb C, Lee G, Garofano L, Anderson K, Nehar-Belaid D, Barnholtz-Sloan J, Bakas S, Byrne A, D’Angelo F, Gan H, Khasraw M, Migliozzi S, Ormond D, Paek S, Van Meir E, Walenkamp A, Watts C, Weiss T, Weller M, Palucka K, Stead L, Poisson L, Noushmehr H, Iavarone A, Verhaak R, Consortium T, Varn F, Johnson K, Martinek J, Huse J, Nasrallah M, Wesseling P, Cooper L, Malta T, Wade T, Sabedot T, Brat D, Gould P, Wöehrer A, Aldape K, Ismail A, Sivajothi S, Barthel F, Kim H, Kocakavuk E, Ahmed N, White K, Datta I, Moon H, Pollock S, Goldfarb C, Lee G, Garofano L, Anderson K, Nehar-Belaid D, Barnholtz-Sloan J, Bakas S, Byrne A, D’Angelo F, Gan H, Khasraw M, Migliozzi S, Ormond D, Paek S, Van Meir E, Walenkamp A, Watts C, Weiss T, Weller M, Alfaro K, Amin S, Ashley D, Bock C, Brodbelt A, Bulsara K, Castro A, Connelly J, Costello J, de Groot J, Finocchiaro G, French P, Golebiewska A, Hau A, Hong C, Horbinski C, Kannan K, Kouwenhoven M, Lasorella A, LaViolette P, Ligon K, Lowman A, Mehta S, Miletic H, Molinaro A, Ng H, Niclou S, Niers J, Phillips J, Rabadan R, Rao G, Reifenberger G, Sanai N, Short S, Smitt P, Sloan A, Smits M, Snyder J, Suzuki H, Tabatabai G, Tanner G, Tomaszewski W, Wells M, Westerman B, Wheeler H, Xie J, Yung W, Zadeh G, Zhao J, Palucka K, Stead L, Poisson L, Noushmehr H, Iavarone A, Verhaak R. Glioma progression is shaped by genetic evolution and microenvironment interactions. Cell 2022, 185: 2184-2199.e16. PMID: 35649412, PMCID: PMC9189056, DOI: 10.1016/j.cell.2022.04.038.Peer-Reviewed Original ResearchConceptsSpecific ligand-receptor interactionsMicroenvironment interactionsDNA sequencing dataGlioma progressionLigand-receptor interactionsNeoplastic cellsSignaling programsCell statesSequencing dataGenetic evolutionGenetic changesIDH wild-type tumorsIsocitrate dehydrogenaseMesenchymal transitionSomatic alterationsDistinct mannerActive tumor growthIDH-mutant gliomasPotential targetTherapy resistanceAdult patientsDisease progressionPossible roleCellsTumor growthSingle-cell multimodal glioma analyses identify epigenetic regulators of cellular plasticity and environmental stress response
Johnson K, Anderson K, Courtois E, Gujar A, Barthel F, Varn F, Luo D, Seignon M, Yi E, Kim H, Estecio M, Zhao D, Tang M, Navin N, Maurya R, Ngan C, Verburg N, de Witt Hamer P, Bulsara K, Samuels M, Das S, Robson P, Verhaak R. Single-cell multimodal glioma analyses identify epigenetic regulators of cellular plasticity and environmental stress response. Nature Genetics 2021, 53: 1456-1468. PMID: 34594038, PMCID: PMC8570135, DOI: 10.1038/s41588-021-00926-8.Peer-Reviewed Original ResearchMeSH KeywordsBrain NeoplasmsCell PlasticityClonal EvolutionDNA Copy Number VariationsDNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticGenetic HeterogeneityGenome, HumanGliomaHumansMutationPhylogenyPromoter Regions, GeneticSingle-Cell AnalysisStress, PhysiologicalTumor MicroenvironmentConceptsDNA methylation disorderEnvironmental stress responsesMethylation disordersEnvironmental stress response pathwaysStress responseStress response processesStress response pathwaysSingle-cell transcriptomesDNA methylation changesDNA methylation differencesDNA methylation dataMulti-omics profilesDNA methylomeTranscriptional disruptionEpigenetic instabilityEpigenetic heterogeneityEpigenetic regulatorsResponse pathwaysCellular plasticityMethylation changesMethylation differencesCell statesMethylation dataIrradiation stressWild-type gliomas
2023
EPCO-09. CHARACTERIZING THE GBM CELLULAR LANDSCAPE BY LARGE-SCALE SINGLE-NUCLEUS RNA-SEQUENCING
Spitzer A, Nomura M, Garofano L, Johnson K, Nehar-Belaid D, Oh Y, Anderson K, Najac R, Bussema L, Varn F, D’Angelo F, Chowdhury T, Migliozzi S, Park J, Ermini L, Golebiewska A, Niclou S, Das S, Paek S, Moon H, Mathon B, Di Stefano A, Bielle F, Laurenge A, Sanson M, Tanaka S, Saito N, Keir S, Ashley D, Huse J, Yung W, Lasorella A, Verhaak R, Iavarone A, Tirosh I, Suva M. EPCO-09. CHARACTERIZING THE GBM CELLULAR LANDSCAPE BY LARGE-SCALE SINGLE-NUCLEUS RNA-SEQUENCING. Neuro-Oncology 2023, 25: v125-v125. PMCID: PMC10639394, DOI: 10.1093/neuonc/noad179.0473.Peer-Reviewed Original ResearchCellular statesSingle-cell RNA sequencing technologySpecific cellular statesCell typesDNA sequence dataRNA sequencing technologyMalignant cell statesWhole-genome sequencing dataNucleus RNA sequencingRNA sequencing datasetsFunctional enrichment analysisScRNA-seq datasetsScRNA-seq studiesGBM tumor samplesCertain genetic eventsHallmark of glioblastomaCellular landscapeRNA sequencingCell statesEnrichment analysisBaseline expression profilesSequencing dataExpression profilesGlial developmentIntra-tumor heterogeneity