2021
S65 Genome-wide association study of survival times after diagnosis of idiopathic pulmonary fibrosis
Allen R, Oldham J, Lorenzo-Salazar J, Molyneaux P, Ma S, Stockwell A, Joseph C, Kim J, Guillen-Guio B, Hernandez-Beeftink T, Kropski J, Huang Y, Lee C, Adegunsoye A, Pugashetti J, Linderholm A, Vo V, Strek M, Hubbard R, Hirani N, Whyte M, Hart S, Nicholson A, Parfrey H, Rassl D, Wallace W, Fahy W, Valenzi E, Zhang Y, Kaminski N, Wolters P, Molina-Molina M, Martinez F, Hall I, Tobin, Maher T, Blackwell T, Yaspan B, Jenkins R, Flores C, Wain L, Noth I. S65 Genome-wide association study of survival times after diagnosis of idiopathic pulmonary fibrosis. Thorax 2021, 76: a43-a43. DOI: 10.1136/thorax-2021-btsabstracts.71.Peer-Reviewed Original ResearchGenome-wide analysisIdiopathic pulmonary fibrosisAssociation studiesGenome-wide association studiesGenetic variantsImportant biological processesWide association studyTwo-stage GWASIPF casesIPF survivalSurvival timeDisease progressionDNA regionsFirst GWASLikely genePulmonary fibrosisGene expressionBiological processesDiagnosis of IPFGenetic principal componentsProgression of IPFDisease riskStage 1Genetic determinantsCox proportional hazards model
2018
iDREM: Interactive visualization of dynamic regulatory networks
Ding J, Hagood JS, Ambalavanan N, Kaminski N, Bar-Joseph Z. iDREM: Interactive visualization of dynamic regulatory networks. PLOS Computational Biology 2018, 14: e1006019. PMID: 29538379, PMCID: PMC5868853, DOI: 10.1371/journal.pcbi.1006019.Peer-Reviewed Original ResearchConceptsDynamic regulatory networksRegulatory networksHigh-throughput time series dataInteraction dataProtein-DNA interaction dataSingle-cell RNA-seqTime series gene expression dataStatic datasetsInteractive visualizationGene expression dataData typesRNA-seqTime series dataBiological processesExpression dataMiRNA expressionNetworkSeries dataImportant challengeNew versionDevelopmental dataNovel hypothesisUnified modelMultiple labsRecent years
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
2009
Features of Mammalian microRNA Promoters Emerge from Polymerase II Chromatin Immunoprecipitation Data
Corcoran DL, Pandit KV, Gordon B, Bhattacharjee A, Kaminski N, Benos PV. Features of Mammalian microRNA Promoters Emerge from Polymerase II Chromatin Immunoprecipitation Data. PLOS ONE 2009, 4: e5279. PMID: 19390574, PMCID: PMC2668758, DOI: 10.1371/journal.pone.0005279.Peer-Reviewed Original ResearchConceptsProtein coding genesMiRNA genesCoding genesIntragenic miRNAsPol II chromatin immunoprecipitationNon-coding RNA regulatorsRNA polymerase II promoterChromatin immunoprecipitation dataDiverse biological processesOwn unique promoterPolymerase II promoterTranscription start siteIntergenic miRNAsTranscription regulationMiRNA promotersRNA regulatorsChromatin immunoprecipitationPromoter organizationHost genesPrimary transcriptTranscript organizationStart siteImmunoprecipitation dataUnique promoterBiological processes
2007
Towards Systems Biology of Human Pulmonary Fibrosis
Studer SM, Kaminski N. Towards Systems Biology of Human Pulmonary Fibrosis. Annals Of The American Thoracic Society 2007, 4: 85-91. PMID: 17202296, PMCID: PMC2647618, DOI: 10.1513/pats.200607-139jg.Peer-Reviewed Original ResearchConceptsSystems biology approachBiology approachSystems biologyHigh-throughput genotypingHigh-throughput technologiesMicroarray resultsBiological processesQuantitative phenotypingEnvironmental stimuliFibrosis researchMultiple pathwaysLung phenotypeBiologyGlobal analysisHuman pulmonary fibrosisGenetic polymorphismsIdiopathic pulmonary fibrosisComputational toolsPulmonary fibrosisSystemwide viewHigh-resolution profilesPhenotypePathwayLethal lung diseasePolymorphism
2005
From signatures to models: understanding cancer using microarrays
Segal E, Friedman N, Kaminski N, Regev A, Koller D. From signatures to models: understanding cancer using microarrays. Nature Genetics 2005, 37: s38-s45. PMID: 15920529, DOI: 10.1038/ng1561.Peer-Reviewed Original ResearchConceptsTranscriptional networksModel organismsRegulatory mechanismsBiological processesMolecular underpinningsMechanistic understandingModular organizationDisease mechanismsComputational analysisComprehensive viewGenomicsRobust signatureOrganismsMicroarrayComparative analysisMechanismSignaturesCellsCancerManagement of cancer
2004
Gene expression profiling of in vivo UVB‐irradiated human epidermis
Enk CD, Shahar I, Amariglio N, Rechavi G, Kaminski N, Hochberg M. Gene expression profiling of in vivo UVB‐irradiated human epidermis. Photodermatology Photoimmunology & Photomedicine 2004, 20: 129-137. PMID: 15144390, DOI: 10.1111/j.1600-0781.2004.00097.x.Peer-Reviewed Original ResearchConceptsGlobal gene expression analysisGene expression patternsGene expression analysisGene expression profilingIntact human epidermisOligonucleotide microarray technologyNumerous genesFunctional categoriesExpression analysisExpression profilingExpression patternsGene expressionBiological processesMicroarray profilingDifferential expressionDifferential regulationMicroarray technologyGenesMolecular pathwaysCultured cellsRNA samplesHuman epidermisUV-induced photodamageSemi-quantitative reverse transcriptase-polymerase chain reactionIntact tissue