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
2021
Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia
Zhu X, Zhou B, Pattni R, Gleason K, Tan C, Kalinowski A, Sloan S, Fiston-Lavier AS, Mariani J, Petrov D, Barres BA, Duncan L, Abyzov A, Vogel H, Moran J, Vaccarino F, Tamminga C, Levinson D, Urban A. Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia. Nature Neuroscience 2021, 24: 186-196. PMID: 33432196, PMCID: PMC8806165, DOI: 10.1038/s41593-020-00767-4.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultCation Transport ProteinsEmbryonic DevelopmentFemaleGenomeHeLa CellsHigh-Throughput Nucleotide SequencingHumansLong Interspersed Nucleotide ElementsMachine LearningMental DisordersMutagenesis, InsertionalNeurogliaNeuronsPregnancyRetroelementsSchizophreniaConceptsBrain developmentPossible pathological effectsAnatomical distributionBilateral distributionHuman neuronsNervous systemHuman nervous systemNeuropsychiatric diseasesNeuropsychiatric disordersGliaPathological effectsNeuronsSomatic L1 insertionsWhole-genome sequencingHuman brainSomatic retrotransposition
2020
PsychENCODE and beyond: transcriptomics and epigenomics of brain development and organoids
Jourdon A, Scuderi S, Capauto D, Abyzov A, Vaccarino FM. PsychENCODE and beyond: transcriptomics and epigenomics of brain development and organoids. Neuropsychopharmacology 2020, 46: 70-85. PMID: 32659782, PMCID: PMC7689467, DOI: 10.1038/s41386-020-0763-3.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsRecent single-cell technologiesGene regulatory networksSingle-cell technologiesMulti-omics investigationsPluripotent stem cellsTranscriptional dynamicsBrain developmentCell fateEpigenomic datasetsRegulatory networksElement activityNeural lineagesStem cellsBrain organoidsOrganoidsBiological modelsFetal brainPsychENCODEBrain biologyMajor questionsEpigenomicsFetal tissuesTranscriptomicsLineagesBiology
2017
Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network
McConnell MJ, Moran JV, Abyzov A, Akbarian S, Bae T, Cortes-Ciriano I, Erwin JA, Fasching L, Flasch DA, Freed D, Ganz J, Jaffe AE, Kwan KY, Kwon M, Lodato MA, Mills RE, Paquola ACM, Rodin RE, Rosenbluh C, Sestan N, Sherman MA, Shin JH, Song S, Straub RE, Thorpe J, Weinberger DR, Urban AE, Zhou B, Gage FH, Lehner T, Senthil G, Walsh CA, Chess A, Courchesne E, Gleeson JG, Kidd JM, Park PJ, Pevsner J, Vaccarino FM, Barton A, Bekiranov S, Bohrson C, Burbulis I, Chronister W, Coppola G, Daily K, D’Gama A, Emery S, Frisbie T, Gao T, Gulyás-Kovács A, Haakenson M, Keil J, Kopera H, Lam M, Lee E, Marques-Bonet T, Mathern G, Moldovan J, Oetjens M, Omberg L, Peters M, Pochareddy S, Pramparo T, Ratan A, Sanavia T, Shi L, Skarica M, Wang J, Wang M, Wang Y, Wierman M, Wolpert M, Woodworth M, Zhao X, Zhou W. Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network. Science 2017, 356 PMID: 28450582, PMCID: PMC5558435, DOI: 10.1126/science.aal1641.Peer-Reviewed Original ResearchConceptsSomatic mutationsComplex genetic architectureStructural genomic variantsNeuronal genomeNeuronal transcriptomeGenetic architectureCell divisionCellular metabolismGenomic variantsLong life spanDNA damageComplex neuropsychiatric disorderCellular expansionNeuropsychiatric diseasesNeuropsychiatric disordersProgenitor cellsSomatic mosaicismIndividual neurodevelopmentSmall populationCell proliferationPopulation-based studyMutationsGermline variantsLife spanBrain developmentHuman 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
2015
Contribution of maternal oxygenic state to the effects of chronic postnatal hypoxia on mouse body and brain development
Salmaso N, Dominguez M, Kravitz J, Komitova M, Vaccarino FM, Schwartz ML. Contribution of maternal oxygenic state to the effects of chronic postnatal hypoxia on mouse body and brain development. Neuroscience Letters 2015, 604: 12-17. PMID: 26222256, PMCID: PMC4568169, DOI: 10.1016/j.neulet.2015.07.033.Peer-Reviewed Original ResearchConceptsBrain weightEffects of hypoxiaDam exposureCortical volumeBody weightHypoxic conditionsBrain developmentChronic postnatal hypoxiaLow birth weightPup body weightSame hypoxic conditionsChronic hypoxia exposureEarly postnatal pupsBody weight conditionsHypoxic mothersNeurological sequelaePostnatal hypoxiaPremature infantsHypoxic pupsBirth weightChronic hypoxiaHypoxic chamberHypoxic exposureLive birthsMouse modelFOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders
Mariani J, Coppola G, Zhang P, Abyzov A, Provini L, Tomasini L, Amenduni M, Szekely A, Palejev D, Wilson M, Gerstein M, Grigorenko EL, Chawarska K, Pelphrey KA, Howe JR, Vaccarino FM. FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders. Cell 2015, 162: 375-390. PMID: 26186191, PMCID: PMC4519016, DOI: 10.1016/j.cell.2015.06.034.Peer-Reviewed Original ResearchConceptsInduced pluripotent stem cellsGene network analysisGene network modulesUpregulation of genesTranscription factor Foxg1Accelerated cell cyclePluripotent stem cellsRNA interferenceGenetic basisSynaptic assemblyCell cycleBrain developmentNeuron fateNeuron differentiationNeuronal differentiationGenomic mutationsHuman brain developmentIdiopathic autism spectrum disorderAltered expressionStem cellsCell proliferationFOXG1ASD pathophysiologyNetwork modulesNeural culturesAltered expression of neuropeptides in FoxG1-null heterozygous mutant mice
Frullanti E, Amabile S, Lolli MG, Bartolini A, Livide G, Landucci E, Mari F, Vaccarino FM, Ariani F, Massimino L, Renieri A, Meloni I. Altered expression of neuropeptides in FoxG1-null heterozygous mutant mice. European Journal Of Human Genetics 2015, 24: 252-257. PMID: 25966633, PMCID: PMC4717204, DOI: 10.1038/ejhg.2015.79.Peer-Reviewed Original ResearchConceptsBasal gangliaAdult brainParvalbumin-positive GABAergic interneuronsNeonatal brain developmentWild-type littermatesGroup of neuropeptidesHeterozygous mutant miceHippocampal neurogenesisImpaired social interactionCalcium-dependent signalingTotal brainGABAergic interneuronsNeuronal excitabilityControl of movementHippocampal neuronsArginine vasopressinBehavioral impairmentsWhole brainMammalian forebrainHeterozygous miceMutant miceFOXG1 geneBrain developmentBrainAltered expressionHow Animal Models Inform Child and Adolescent Psychiatry
Stevens HE, Vaccarino FM. How Animal Models Inform Child and Adolescent Psychiatry. Journal Of The American Academy Of Child & Adolescent Psychiatry 2015, 54: 352-359. PMID: 25901771, PMCID: PMC4407022, DOI: 10.1016/j.jaac.2015.01.019.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsRisk factorsPsychiatric disordersAnimal modelsImportance of doseChildhood psychiatric disordersAdolescent psychiatryAnimal model systemsAnimal model workChild psychiatryPsychiatric pathophysiologyBrain developmentChildhood disordersChild psychiatristsBrain functioningBasis of recoveryDisordersBehavioral problemsChildrenClinical workPsychiatryField of childPathophysiologyFactorsDoseNeurochemistry
2014
Editorial commentary: “What does immunology have to do with brain development and neuropsychiatric disorders?”
Leckman JF, Vaccarino FM. Editorial commentary: “What does immunology have to do with brain development and neuropsychiatric disorders?”. Brain Research 2014, 1617: 1-6. PMID: 25283746, DOI: 10.1016/j.brainres.2014.09.052.Commentaries, Editorials and Letters
2012
Neurobiology meets genomic science: The promise of human-induced pluripotent stem cells
Stevens HE, Mariani J, Coppola G, Vaccarino FM. Neurobiology meets genomic science: The promise of human-induced pluripotent stem cells. Development And Psychopathology 2012, 24: 1443-1451. PMID: 23062309, PMCID: PMC3513939, DOI: 10.1017/s095457941200082x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHuman-induced pluripotent stem cellsPluripotent stem cellsStem cellsNeuronal cellsInduced pluripotent stem cell (iPSC) technologyPluripotent stem cell (iPSC) technologyNormal human brain developmentHuman genesSomatic cellsCell biologyStem cell technologyGene transcriptsHuman brain developmentAspects of developmentMessenger RNADevelopmental stepsGenomic scienceBiologySeries of eventsCellsBrain developmentGenesGeneticsHuman individualsTranscriptsModeling human cortical development in vitro using induced pluripotent stem cells
Mariani J, Simonini MV, Palejev D, Tomasini L, Coppola G, Szekely AM, Horvath TL, Vaccarino FM. Modeling human cortical development in vitro using induced pluripotent stem cells. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 12770-12775. PMID: 22761314, PMCID: PMC3411972, DOI: 10.1073/pnas.1202944109.Peer-Reviewed Original ResearchConceptsHuman brain developmentHuman induced pluripotent stem cellsLayer-specific cortical neuronsBrain developmentHuman cerebral cortexHuman cortical developmentStem cellsPluripotent stem cellsCerebral cortexCortical neuronsCortical developmentCNS regionsRadial gliaCortical wallDorsal telencephalonEmbryonic telencephalonGene expression profilesInduced pluripotent stem cellsIntermediate progenitorsTelencephalic developmentTelencephalonExpression profilesTranscriptional programsCellsGlia
2011
Annual Research Review: The promise of stem cell research for neuropsychiatric disorders
Vaccarino FM, Urban AE, Stevens HE, Szekely A, Abyzov A, Grigorenko EL, Gerstein M, Weissman S. Annual Research Review: The promise of stem cell research for neuropsychiatric disorders. Journal Of Child Psychology And Psychiatry 2011, 52: 504-516. PMID: 21204834, PMCID: PMC3124336, DOI: 10.1111/j.1469-7610.2010.02348.x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNervous systemNeuropsychiatric disordersPsychiatric disordersAdult-onset neuropsychiatric disordersEarly onset neuropsychiatric disordersHuman neural cellsAttention deficit hyperactivity disorderStem cellsNeural stem cellsDeficit hyperactivity disorderHuman brain developmentObsessive-compulsive disorderPharmacological interventionsFunctional neuronsBrain developmentUse of iPSCsNeural cellsHyperactivity disorderTime pointsDisordersCompulsive disorderPatientsNeural differentiationDevelopmental time pointsNeurodevelopmental conditions