2023
Integrative genetic and genomic networks identify microRNA associated with COPD and ILD
Pavel A, Garrison C, Luo L, Liu G, Taub D, Xiao J, Juan-Guardela B, Tedrow J, Alekseyev Y, Yang I, Geraci M, Sciurba F, Schwartz D, Kaminski N, Beane J, Spira A, Lenburg M, Campbell J. Integrative genetic and genomic networks identify microRNA associated with COPD and ILD. Scientific Reports 2023, 13: 13076. PMID: 37567908, PMCID: PMC10421936, DOI: 10.1038/s41598-023-39751-w.Peer-Reviewed Original ResearchConceptsSeed sequenceGene expressionShort RNA sequencingAirway differentiationIntegrative network analysisExpression networksRNA sequencingGenomic networksMiRNA regulatorsMiRNA isoformsNotch pathwayIsomiRsDistinct subclustersSNP microarraysGenesMicroRNAsMolecular heterogeneityILD pathogenesisDisease networkOverexpressionSequenceExpressionNetwork analysisDifferentiationGrb2
2022
CINS: Cell Interaction Network inference from Single cell expression data
Yuan Y, Cosme C, Adams TS, Schupp J, Sakamoto K, Xylourgidis N, Ruffalo M, Li J, Kaminski N, Bar-Joseph Z. CINS: Cell Interaction Network inference from Single cell expression data. PLOS Computational Biology 2022, 18: e1010468. PMID: 36095011, PMCID: PMC9499239, DOI: 10.1371/journal.pcbi.1010468.Peer-Reviewed Original ResearchConceptsCell type interactionsSingle-cell expression dataSingle-cell RNA-seq dataRNA-seq dataScRNA-seq experimentsCell-cell interactionsExpression dataCell typesMouse datasetsNetwork inferenceCell interactionsInteraction predictionNetwork analysisInference pipelineGenesCINSProteinInteractionBayesian network analysis
2017
Microbes Are Associated with Host Innate Immune Response in Idiopathic Pulmonary Fibrosis
Huang Y, Ma SF, Espindola MS, Vij R, Oldham JM, Huffnagle GB, Erb-Downward JR, Flaherty KR, Moore BB, White ES, Zhou T, Li J, Lussier YA, Han MK, Kaminski N, Garcia JG, Hogaboam CM, Martinez FJ, Noth I. Microbes Are Associated with Host Innate Immune Response in Idiopathic Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2017, 196: 208-219. PMID: 28157391, PMCID: PMC5519968, DOI: 10.1164/rccm.201607-1525oc.Peer-Reviewed Original ResearchConceptsProgression-free survivalMicrobial diversityRegulated signaling pathwaysNOD-like receptor signalingRNA sequencing dataGene expression dataMicroarray gene expression dataImmune response pathwaysMicrobial interactionsMicrobial communitiesHost innate immune responseResponse pathwaysLung microbial communityLeukocyte phenotypeImmune responseSequencing dataNetwork analysisShannon indexSignaling pathwaysToll-like receptor 9 stimulationExpression associationsExpression dataIndividual generaIdiopathic pulmonary fibrosis progressionOligomerization domain
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