2024
Predicting lung aging using scRNA-Seq data
Song Q, Singh A, McDonough J, Adams T, Vos R, De Man R, Myers G, Ceulemans L, Vanaudenaerde B, Wuyts W, Yan X, Schupp J, Hagood J, Kaminski N, Bar-Joseph Z. Predicting lung aging using scRNA-Seq data. PLOS Computational Biology 2024, 20: e1012632. PMID: 39700255, PMCID: PMC11741621, DOI: 10.1371/journal.pcbi.1012632.Peer-Reviewed Original ResearchMeSH KeywordsAgingComputational BiologyEpithelial CellsHumansLungRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression Analysis
2022
Single-cell RNA-seq uncovers cellular heterogeneity and provides a signature for paediatric sleep apnoea.
Cortese R, Adams T, Cataldo K, Hummel J, Kaminski N, Kheirandish-Gozal L, Gozal D. Single-cell RNA-seq uncovers cellular heterogeneity and provides a signature for paediatric sleep apnoea. European Respiratory Journal 2022, 61: 2201465. PMID: 36356973, DOI: 10.1183/13993003.01465-2022.Peer-Reviewed Original ResearchMeSH KeywordsAdultChildHumansInflammationLeukocytes, MononuclearSingle-Cell Gene Expression AnalysisSleep Apnea, ObstructiveConceptsObstructive sleep apnoeaSleep apnoeaImpact of OSASystemic immune functionMononuclear cell compositionMolecular signaturesCell-specific markersSystemic inflammationCardiovascular dysfunctionImmune cellsImmune functionSingle-cell transcriptomic analysisPaediatric sleep apnoeaUndescribed cell typePrevalent diseaseMajor causeCellular compositionApnoeaCell compositionRNA expression datasetsDiagnostic settingCell typesCell lineagesMolecular diagnostic settingScRNA-seq
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