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 ResearchSDePER: 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 Research
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 ResearchConceptsObstructive 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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