2024
Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data
Dai R, Chu T, Zhang M, Wang X, Jourdon A, Wu F, Mariani J, Vaccarino F, Lee D, Fullard J, Hoffman G, Roussos P, Wang Y, Wang X, Pinto D, Wang S, Zhang C, consortium P, Chen C, Liu C. Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data. Science Advances 2024, 10: eadh2588. PMID: 38781336, PMCID: PMC11114236, DOI: 10.1126/sciadv.adh2588.Peer-Reviewed Original ResearchConceptsHuman brain transcriptome dataBrain transcriptomic dataRNA-seqTranscriptome dataCell-type gene expressionGene expressionCell-type proportionsSingle-cell dataMultiple brain disordersBrain cell typesCell deconvolution methodsPostmortem brainsRNA sequencingBrain disordersBrain developmentSchizophreniaEQTLAlzheimer's diseaseCell typesOrganoid samplesBrainBiological applications
2017
Human induced pluripotent stem cells for modelling neurodevelopmental disorders
Ardhanareeswaran K, Mariani J, Coppola G, Abyzov A, Vaccarino FM. Human induced pluripotent stem cells for modelling neurodevelopmental disorders. Nature Reviews Neurology 2017, 13: 265-278. PMID: 28418023, PMCID: PMC5782822, DOI: 10.1038/nrneurol.2017.45.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsEmbryonic stem cellsNeurodevelopmental disordersPluripotent stem cellsBrain developmentStem cellsAbnormal brain developmentBrain cell typesDopaminergic neuronsCortical neuronsUnique genetic signatureEarly developmentKey PointsHumanHiPSC modelsSomatic cellsDisordersGenetic signaturesGenetic studiesAltered trajectoryCell typesAdult cellsNeuronsUnknown facetsCellsDrug discoveryHiPSCs