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 applicationsCharacterization of enhancer activity in early human neurodevelopment using Massively Parallel Reporter Assay (MPRA) and forebrain organoids
Capauto D, Wang Y, Wu F, Norton S, Mariani J, Inoue F, Crawford G, Ahituv N, Abyzov A, Vaccarino F. Characterization of enhancer activity in early human neurodevelopment using Massively Parallel Reporter Assay (MPRA) and forebrain organoids. Scientific Reports 2024, 14: 3936. PMID: 38365907, PMCID: PMC10873509, DOI: 10.1038/s41598-024-54302-7.Peer-Reviewed Original ResearchConceptsMassively parallel reporter assaysGene expressionRegulation of gene expressionForebrain organoidsHuman fetal tissuesHigh-throughput assayReporter assayFetal tissuesStem cellsNeurodevelopmentHuman neurodevelopmentActivation signalsEnhanced activityGenesOrganoidsForebrainBrain organoidsAssayBrain