Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets
Patil A, Schug J, Liu C, Lahori D, Descamps H, Consortium T, Naji A, Kaestner K, Faryabi R, Vahedi G. Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets. Cell Reports Medicine 2024, 5: 101535. PMID: 38677282, PMCID: PMC11148720, DOI: 10.1016/j.xcrm.2024.101535.Peer-Reviewed Original ResearchSingle-cell transcriptomic measurementsGene expression of single cellsGene signatureSingle-cell analysisTranscriptional outputTranscriptomic measurementsUnique gene signatureNon-diabetic organ donorsAnalysis of isletsGene expressionAutoantibody-positive donorsPrediction of T1DHuman isletsBeta cellsCell typesT1D developmentSingle cellsGenesType 1 diabetes progressionCellsT1D onsetType 1 diabetesIsletsImmune cellsNon-diabetics