2017
Transcriptome profiles in sarcoidosis and their potential role in disease prediction
Schupp JC, Vukmirovic M, Kaminski N, Prasse A. Transcriptome profiles in sarcoidosis and their potential role in disease prediction. Current Opinion In Pulmonary Medicine 2017, 23: 487-492. PMID: 28590292, PMCID: PMC5637542, DOI: 10.1097/mcp.0000000000000403.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGenome-wide expression studiesWide expression studiesTranscriptome profilesTranscriptomic dataRNA sequencingExpression studiesGene expressionMolecular mechanismsLarge prospective followTh1 immune responseTranscriptomeNonnecrotizing granulomasProspective followSystemic diseaseDisease progressionTreatment outcomesImmune responseSarcoidosisPotential roleControl tissuesProgressive sarcoidosisKey roleDiseaseTranscriptomicsGranulomas
2016
Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease
Modena BD, Bleecker ER, Busse WW, Erzurum SC, Gaston BM, Jarjour NN, Meyers DA, Milosevic J, Tedrow JR, Wu W, Kaminski N, Wenzel SE. Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease. American Journal Of Respiratory And Critical Care Medicine 2016, 195: 1449-1463. PMID: 27984699, PMCID: PMC5470748, DOI: 10.1164/rccm.201607-1407oc.Peer-Reviewed Original ResearchConceptsWeighted gene coexpression network analysisGene coexpression network analysisCoexpression network analysisGene expressionBiological processesAirway epithelial cell gene expressionEpithelial cell gene expressionNetwork of genesGene expression networksGene network modulesAsthma susceptibility lociT2 gene expressionCell gene expressionGene expression studiesNeuronal functionEpithelial growthMultiple molecular mechanismsExpression networksT2 genesGene networksUnderlying biological processesHub genesExpression studiesBiological insightsNetwork analysis