2023
Mutation of key signaling regulators of cerebrovascular development in vein of Galen malformations
Zhao S, Mekbib K, van der Ent M, Allington G, Prendergast A, Chau J, Smith H, Shohfi J, Ocken J, Duran D, Furey C, Hao L, Duy P, Reeves B, Zhang J, Nelson-Williams C, Chen D, Li B, Nottoli T, Bai S, Rolle M, Zeng X, Dong W, Fu P, Wang Y, Mane S, Piwowarczyk P, Fehnel K, See A, Iskandar B, Aagaard-Kienitz B, Moyer Q, Dennis E, Kiziltug E, Kundishora A, DeSpenza T, Greenberg A, Kidanemariam S, Hale A, Johnston J, Jackson E, Storm P, Lang S, Butler W, Carter B, Chapman P, Stapleton C, Patel A, Rodesch G, Smajda S, Berenstein A, Barak T, Erson-Omay E, Zhao H, Moreno-De-Luca A, Proctor M, Smith E, Orbach D, Alper S, Nicoli S, Boggon T, Lifton R, Gunel M, King P, Jin S, Kahle K. Mutation of key signaling regulators of cerebrovascular development in vein of Galen malformations. Nature Communications 2023, 14: 7452. PMID: 37978175, PMCID: PMC10656524, DOI: 10.1038/s41467-023-43062-z.Peer-Reviewed Original ResearchConceptsEphrin receptor B4Galen malformationBrain arteriovenous malformationsP120 RasGAPTransmitted variantsArteriovenous malformationsDe novo variantsSingle-cell transcriptomesSignificant burdenCerebrovascular developmentIntegrative genomic analysisEndothelial cellsVenous networkAdditional probandsMalformationsNovo variantsMissense variantsGenomic analysisDevelopmental angiogenesisVascular developmentDamaging variantsVeinRasGAPIntegrated analysisPatients
2021
Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
Pathak GA, Singh K, Miller-Fleming TW, Wendt FR, Ehsan N, Hou K, Johnson R, Lu Z, Gopalan S, Yengo L, Mohammadi P, Pasaniuc B, Polimanti R, Davis LK, Mancuso N. Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization. Nature Communications 2021, 12: 4569. PMID: 34315903, PMCID: PMC8316582, DOI: 10.1038/s41467-021-24824-z.Peer-Reviewed Original ResearchConceptsPutative causal genesGenome-wide association studiesUnderstanding of genesIntegrative genomic analysisTrans-ethnic studiesAssociation scanCausal genesGenomic analysisAssociation studiesDiverse ancestral backgroundsGenesSusceptibility genesBiobank JapanHost geneticsProtein levelsAncestral backgroundPathwayExpressionMRNA expressionSplicingRapid progressPhenomeGeneticsHost inflammatory responseCoagulation pathway
2015
A robust blood gene expression-based prognostic model for castration-resistant prostate cancer
Wang L, Gong Y, Chippada-Venkata U, Heck M, Retz M, Nawroth R, Galsky M, Tsao C, Schadt E, de Bono J, Olmos D, Zhu J, Oh W. A robust blood gene expression-based prognostic model for castration-resistant prostate cancer. BMC Medicine 2015, 13: 201. PMID: 26297150, PMCID: PMC4546313, DOI: 10.1186/s12916-015-0442-0.Peer-Reviewed Original ResearchConceptsFour-gene modelCRPC patientsProstate cancerClinical parametersBackgroundCastration-resistant prostate cancerCastration-resistant prostate cancerSurvival of CRPC patientsGene-expression-based prognostic modelsBiomarker modelProstate cancer lethalityImmune cell componentsGene modelsGenes associated with cancer progressionMRNA profilesIntegrative genomic analysisWorse survivalPrognostic improvementBiological processesClinical predictorsAssociated with wide variationsCancer lethalityMyeloid cellsIntegrative genomics approachPrognostic powerCRPC
2014
Relationship of DNA Methylation and Gene Expression in Idiopathic Pulmonary Fibrosis
Yang IV, Pedersen BS, Rabinovich E, Hennessy CE, Davidson EJ, Murphy E, Guardela BJ, Tedrow JR, Zhang Y, Singh MK, Correll M, Schwarz MI, Geraci M, Sciurba FC, Quackenbush J, Spira A, Kaminski N, Schwartz DA. Relationship of DNA Methylation and Gene Expression in Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2014, 190: 1263-1272. PMID: 25333685, PMCID: PMC4315819, DOI: 10.1164/rccm.201408-1452oc.Peer-Reviewed Original ResearchConceptsGene expressionDNA methylationMethylation marksMethylation changesQuantitative trait lociTrans-gene expressionIntegrative genomic analysisTrait lociEpigenetic mechanismsTranscriptional changesGenomic analysisTranscription factorsCASZ1 expressionTarget genesFunctional validationExpression relationshipsMethylationGenesDMRsExpressionEnvironmental factorsTargeted analysisPathogenesis of IPFComplex interactionsTranscriptome
2005
Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma
Garraway LA, Widlund HR, Rubin MA, Getz G, Berger AJ, Ramaswamy S, Beroukhim R, Milner DA, Granter SR, Du J, Lee C, Wagner SN, Li C, Golub TR, Rimm DL, Meyerson ML, Fisher DE, Sellers WR. Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma. Nature 2005, 436: 117-122. PMID: 16001072, DOI: 10.1038/nature03664.Peer-Reviewed Original ResearchMeSH KeywordsCell Line, TumorCell LineageCell SurvivalChromosomes, Human, Pair 3Disease ProgressionDNA-Binding ProteinsGene AmplificationGene DosageGene Expression Regulation, NeoplasticGenomicsHumansIn Situ Hybridization, FluorescenceMelanomaMicrophthalmia-Associated Transcription FactorOncogenesPolymerase Chain ReactionPolymorphism, Single NucleotideTranscription FactorsConceptsMITF gene expressionDNA amplification eventsIntegrative genomic analysisLineage-survival oncogenePossible drug targetsGenomics effortsGenomic analysisGenetic dataGene expressionMelanoma formationAmplification eventsMelanoma genesDrug targetsCancer cell linesGenetic alterationsCell linesMITFMelanoma cellsHuman melanomaMalignant melanomaGenesMelanomaOncogeneExpressionCells
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