Featured Publications
SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data
Liu Y, Li N, Qi J, Xu G, Zhao J, Wang N, Huang X, Jiang W, Wei H, Justet A, Adams T, Homer R, Amei A, Rosas I, Kaminski N, Wang Z, Yan X. SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data. Genome Biology 2024, 25: 271. PMID: 39402626, PMCID: PMC11475911, DOI: 10.1186/s13059-024-03416-2.Peer-Reviewed Original ResearchiDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects
Liu Y, Zhao J, Adams T, Wang N, Schupp J, Wu W, McDonough J, Chupp G, Kaminski N, Wang Z, Yan X. iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 318. PMID: 37608264, PMCID: PMC10463720, DOI: 10.1186/s12859-023-05432-8.Peer-Reviewed Original ResearchComputational and Statistical Methods for Single-Cell RNA Sequencing Data
Wang Z, Yan X. Computational and Statistical Methods for Single-Cell RNA Sequencing Data. Springer Handbooks Of Computational Statistics 2022, 3-35. DOI: 10.1007/978-3-662-65902-1_1.ChaptersSingle-cell RNA sequencing technologySingle-cell RNA sequencing dataRNA sequencing technologyPhenotype of interestRNA sequencing dataDifferential expression analysisScRNA-seq dataStatistical methodsSequencing technologiesExpression analysisDropout imputationSequencing dataSeq dataDroplet-based technologiesDropout eventsDisease pathogenesisPopulation composition changesData normalizationHigh noise levelsPhenotypeNoise levelTherapeuticsComposition changesTranscriptomics of bronchoalveolar lavage cells identifies new molecular endotypes of sarcoidosis
Vukmirovic M, Yan X, Gibson KF, Gulati M, Schupp JC, DeIuliis G, Adams TS, Hu B, Mihaljinec A, Woolard TN, Lynn H, Emeagwali N, Herzog EL, Chen ES, Morris A, Leader JK, Zhang Y, Garcia JGN, Maier LA, Collman RG, Drake WP, Becich MJ, Hochheiser H, Wisniewski SR, Benos PV, Moller DR, Prasse A, Koth LL, Kaminski N. Transcriptomics of bronchoalveolar lavage cells identifies new molecular endotypes of sarcoidosis. European Respiratory Journal 2021, 58: 2002950. PMID: 34083402, PMCID: PMC9759791, DOI: 10.1183/13993003.02950-2020.Peer-Reviewed Original ResearchConceptsWeighted gene co-expression network analysisGene co-expression network analysisCo-expression network analysisGene expression programsGene expression patternsDistinct transcriptional programsImmune response pathwaysIon Torrent ProtonMicroarray expression datasetsExpression programsTranscriptional programsPhenotypic traitsGene modulesResponse pathwaysRNA sequencingMolecular endotypesExpression patternsGene expressionHilar lymphadenopathyOrgan involvementGenomic researchMechanistic targetExpression datasetsT helper type 1T cell immune responsesG2S3: A gene graph-based imputation method for single-cell RNA sequencing data
Wu W, Liu Y, Dai Q, Yan X, Wang Z. G2S3: A gene graph-based imputation method for single-cell RNA sequencing data. PLOS Computational Biology 2021, 17: e1009029. PMID: 34003861, PMCID: PMC8189489, DOI: 10.1371/journal.pcbi.1009029.Peer-Reviewed Original ResearchConceptsSingle-cell transcriptomic datasetsTranscriptomic datasetsGene expressionSingle-cell RNA sequencing technologySingle-cell transcriptomic studiesSingle-cell RNA sequencing dataRNA sequencing technologyRNA sequencing dataSingle-cell resolutionGene expression profilesAdjacent genesTranscriptomic studiesSequencing technologiesSequencing dataExpression profilesGene graphDownstream analysisGenesCell trajectoriesDropout eventsCell subtypesExpressionHigh data sparsityCellsA novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression
Yan X, Liang A, Gomez J, Cohn L, Zhao H, Chupp GL. A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression. BMC Bioinformatics 2017, 18: 309. PMID: 28637421, PMCID: PMC5480187, DOI: 10.1186/s12859-017-1727-4.Peer-Reviewed Original ResearchNoninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma
Yan X, Chu JH, Gomez J, Koenigs M, Holm C, He X, Perez MF, Zhao H, Mane S, Martinez FD, Ober C, Nicolae DL, Barnes KC, London SJ, Gilliland F, Weiss ST, Raby BA, Cohn L, Chupp GL. Noninvasive Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma. American Journal Of Respiratory And Critical Care Medicine 2015, 191: 1116-1125. PMID: 25763605, PMCID: PMC4451618, DOI: 10.1164/rccm.201408-1440oc.Peer-Reviewed Original ResearchConceptsHistory of intubationNitric oxide levelsOxide levelsClinical phenotypeMost subjectsHigher bronchodilator responseNormal lung functionBlood of patientsCohort of childrenLogistic regression analysisSputum gene expressionBlood of childrenAirway transcriptomeMilder asthmaPathophysiologic heterogeneityPrebronchodilator FEV1Steroid requirementsLung functionBronchodilator responseGene expressionPhenotype of diseaseAsthmaBlood samplesGene signatureIntubationDetecting functional rare variants by collapsing and incorporating functional annotation in Genetic Analysis Workshop 17 mini-exome data
Yan X, Li L, Lee JS, Zheng W, Ferguson J, Zhao H. Detecting functional rare variants by collapsing and incorporating functional annotation in Genetic Analysis Workshop 17 mini-exome data. BMC Proceedings 2011, 5: s27. PMID: 22373324, PMCID: PMC3287862, DOI: 10.1186/1753-6561-5-s9-s27.Peer-Reviewed Original ResearchFunctional annotationCommon variantsDisease-associated common variantsGenetic Analysis Workshop 17 mini-exome dataGenetic Analysis Workshop 17 dataRare variantsFunctional rare variantsGenomic blocksSequencing technologiesAssociation studiesSynonymous variantsTag SNPsDifferent rare variantsAnnotationGenetic factorsRecent studiesVariantsVariant assumptionsHeritabilitySNPsCommon diseaseDisease riskRare exceptionsTesting gene set enrichment for subset of genes: Sub-GSE
Yan X, Sun F. Testing gene set enrichment for subset of genes: Sub-GSE. BMC Bioinformatics 2008, 9: 362. PMID: 18764941, PMCID: PMC2543030, DOI: 10.1186/1471-2105-9-362.Peer-Reviewed Original ResearchDetecting differentially expressed genes by relative entropy
Yan X, Deng M, Fung K, Qian M. Detecting differentially expressed genes by relative entropy. Journal Of Theoretical Biology 2005, 234: 395-402. PMID: 15784273, DOI: 10.1016/j.jtbi.2004.11.039.Peer-Reviewed Original Research
2024
Single-Cell Analysis Reveals Novel Immune Perturbations in Fibrotic Hypersensitivity Pneumonitis.
Zhao A, Unterman A, Abu Hussein N, Sharma P, Nikola F, Flint J, Yan X, Adams T, Justet A, Sumida T, Zhao J, Schupp J, Raredon M, Ahangari F, Deluliis G, Zhang Y, Buendia-Roldan I, Adegunsoye A, Sperling A, Prasse A, Ryu C, Herzog E, Selman M, Pardo A, Kaminski N. Single-Cell Analysis Reveals Novel Immune Perturbations in Fibrotic Hypersensitivity Pneumonitis. American Journal Of Respiratory And Critical Care Medicine 2024, 210: 1252-1266. PMID: 38924775, PMCID: PMC11568434, DOI: 10.1164/rccm.202401-0078oc.Peer-Reviewed Original ResearchFibrotic hypersensitivity pneumonitisIdiopathic pulmonary fibrosisPeripheral blood mononuclear cellsBronchoalveolar lavage cellsBlood mononuclear cellsClassical monocytesHypersensitivity pneumonitisPulmonary fibrosisT cellsImmune perturbationsLavage cellsMononuclear cellsCD8+ T cellsCytotoxic T cellsInterstitial lung diseaseHypersensitivity pneumonitis patientsCytotoxic CD4Immune aberrationsPneumonic patientsPneumonitisLung diseaseHealthy controlsImmune mechanismsPatient cellsSingle-cell transcriptomicssnRNAseq of IPF Stromal Cells Reveals Dysfunctional Gene Co-expression Profile
Sharma P, Taylor S A, Anderson S, Nekola F, Giuseppe D, Yan X, Schupp J, Balayev A, Justet A, Wuyts W, Vanaudenaerde B, Kaminski N. snRNAseq of IPF Stromal Cells Reveals Dysfunctional Gene Co-expression Profile. 2024, a4903-a4903. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4903.Peer-Reviewed Original ResearchIPF Aberrant Basaloid Cells Have Chromatin Accessibility Features Distinct From Other Lung Epithelial Cells
Adams T, Schupp J, Balayev A, Justet A, Sharma P, Anderson S, Nekola F, Deiuliis G, Yan X, Wuyts W, Vanaudenaerde B, Kaminski N. IPF Aberrant Basaloid Cells Have Chromatin Accessibility Features Distinct From Other Lung Epithelial Cells. 2024, a4898-a4898. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4898.Peer-Reviewed Original ResearchApplying Single Cell Profiling to Assess Drug Anti Fibrotic Properties in the Human Precision Cut Lung Slice Model of Fibrosis
Justet A, Mitash N, Pineda R, Adams T, Balayev A, Abu Hussein N, Ishizuka M, Kim H, Khoury J, Ahangari F, Yan X, Kaminski N, Koenigshoff M. Applying Single Cell Profiling to Assess Drug Anti Fibrotic Properties in the Human Precision Cut Lung Slice Model of Fibrosis. 2024, a4906-a4906. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4906.Peer-Reviewed Original ResearchSkin Transcriptomics Are Associated With Lung Function Impairment and Specific Cell Type Enrichment in Systemic Sclerosis-related Interstitial Lung Disease
Zielonka J, Li N, Wang Z, Yan X, Ryu C, Gomez J. Skin Transcriptomics Are Associated With Lung Function Impairment and Specific Cell Type Enrichment in Systemic Sclerosis-related Interstitial Lung Disease. 2024, a4905-a4905. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4905.Peer-Reviewed Original ResearchActivated sputum eosinophils associated with exacerbations in children on mepolizumab
Wilson G, Knight J, Liu Q, Shelar A, Stewart E, Wang X, Yan X, Sanders J, Visness C, Gill M, Gruchalla R, Liu A, Kattan M, Khurana Hershey G, Togias A, Becker P, Altman M, Busse W, Jackson D, Montgomery R, Chupp G. Activated sputum eosinophils associated with exacerbations in children on mepolizumab. Journal Of Allergy And Clinical Immunology 2024, 154: 297-307.e13. PMID: 38485057, PMCID: PMC11305967, DOI: 10.1016/j.jaci.2024.01.031.Peer-Reviewed Original ResearchAirway eosinophilsSputum eosinophilsPatients treated with mepolizumabPlacebo-controlled clinical trialAnti-IL-5 treatmentEffect of mepolizumabEosinophil subpopulationsSevere eosinophilic asthmaAnti-interleukin-5Expression of CD62LFrequency of exacerbationsEosinophilic asthmaActivation markersSputum samplesUnsupervised cluster analysisMepolizumabTreatment armsReduce exacerbationsCD62LClinical trialsExacerbationMass cytometryEosinophilsExacerbation riskIntracellular markersBiomarkers and molecular endotypes of sarcoidosis: lessons from omics and non-omics studies
Ji H, Xi N, Mohan C, Yan X, Jain K, Zang Q, Gahtan V, Zhao R. Biomarkers and molecular endotypes of sarcoidosis: lessons from omics and non-omics studies. Frontiers In Immunology 2024, 14: 1342429. PMID: 38250062, PMCID: PMC10797773, DOI: 10.3389/fimmu.2023.1342429.Peer-Reviewed Original ResearchConceptsMolecular endotypesChronic granulomatous disorderSarcoidosis biomarkersTNF blockadeDifferentiate sarcoidosisGranulomatous disorderSarcoidosisAdvanced omics approachesHealthy controlsDisease heterogeneityEndotypesDocumented biomarkerBiomarker profilesPersonalized medicineBiomarkersOmics approachesOmics studiesDiseaseDiagnosisTargeted studiesOmicsBlockadePrognosisTherapyEtiology
2023
Somatic Mutations: The Next Frontier in Demystifying Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis?
Yan X, Kaminski N. Somatic Mutations: The Next Frontier in Demystifying Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis? American Journal Of Respiratory And Critical Care Medicine 2023, 208: 1150-1151. PMID: 37856835, PMCID: PMC10868359, DOI: 10.1164/rccm.202310-1774ed.Peer-Reviewed Original ResearchSputum alarmins delineate distinct T2 cytokine pathways and unique subtypes of patients with asthma
Gautam S, Chu J, Cohen A, Kaur R, Lee S, Wilson G, Liu Q, Gomez J, Rajaveen H, Yan X, Cohn L, Clark B, Chupp G. Sputum alarmins delineate distinct T2 cytokine pathways and unique subtypes of patients with asthma. Allergy 2023, 78: 3274-3277. PMID: 37874609, PMCID: PMC10842366, DOI: 10.1111/all.15915.Peer-Reviewed Original ResearchCorrection: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects
Liu Y, Zhao J, Adams T, Wang N, Schupp J, Wu W, McDonough J, Chupp G, Kaminski N, Wang Z, Yan X. Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 394. PMID: 37858060, PMCID: PMC10588114, DOI: 10.1186/s12859-023-05523-6.Peer-Reviewed Original Research