2024
SINGLE-CELL ANALYSIS OF SOMATIC MUTATIONS IN HUMAN LUNG REVEALS ASSOCIATION WITH TRANSCRIPTIONAL CHANGES IN AGING
De Man R, Adams T, McDonough J, Cala-Garcia J, Moss B, Yan X, Rosas I, Kaminski N. SINGLE-CELL ANALYSIS OF SOMATIC MUTATIONS IN HUMAN LUNG REVEALS ASSOCIATION WITH TRANSCRIPTIONAL CHANGES IN AGING. Innovation In Aging 2024, 8: 571-572. PMCID: PMC11690935, DOI: 10.1093/geroni/igae098.1872.Peer-Reviewed Original ResearchSomatic mutationsMutational burdenCell type annotationAlveolar type 1DNA damage response genesAnalysis of somatic mutationsSomatic mutation accumulationAccumulation of somatic mutationsCell typesUbiquitin ligase geneDamage response genesLoss of cell functionAnalyzed somatic mutationsDecreased expressionSingle-cell RNAseqLigase geneMutation accumulationTop genesSignaling genesCell marker genesResponse genesTranscriptional changesAlveolar type 1 cellsGenesMarker genesPredicting 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 ResearchDedifferentiated early postnatal lung myofibroblasts redifferentiate in adult disease
Chandran R, Adams T, Kabir I, Gallardo-Vara E, Kaminski N, Gomperts B, Greif D. Dedifferentiated early postnatal lung myofibroblasts redifferentiate in adult disease. Frontiers In Cell And Developmental Biology 2024, 12: 1335061. PMID: 38572485, PMCID: PMC10987733, DOI: 10.3389/fcell.2024.1335061.Peer-Reviewed Original ResearchRNA sequencing analysisSMA+ myofibroblastsGene expression profilesLung myofibroblastsAdult lungSequence analysisResponse to lung injurySingle cell RNA sequencing analysisTissue remodeling genesSmooth muscle cell markersLung to hypoxiaExpression profilesRemodeling genesMuscle cell markersResponse to injuryCell typesSMA cellsLineage tracingLung injuryCell markersLineagesGenesAdult diseaseDrug bleomycinLung surface area
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
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply