2023
Genomic data resources of the Brain Somatic Mosaicism Network for neuropsychiatric diseases
Garrison M, Jang Y, Bae T, Cherskov A, Emery S, Fasching L, Jones A, Moldovan J, Molitor C, Pochareddy S, Peters M, Shin J, Wang Y, Yang X, Akbarian S, Chess A, Gage F, Gleeson J, Kidd J, McConnell M, Mills R, Moran J, Park P, Sestan N, Urban A, Vaccarino F, Walsh C, Weinberger D, Wheelan S, Abyzov A. Genomic data resources of the Brain Somatic Mosaicism Network for neuropsychiatric diseases. Scientific Data 2023, 10: 813. PMID: 37985666, PMCID: PMC10662356, DOI: 10.1038/s41597-023-02645-7.Peer-Reviewed Original Research
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
2018
Comprehensive functional genomic resource and integrative model for the human brain
Wang D, Liu S, Warrell J, Won H, Shi X, Navarro FCP, Clarke D, Gu M, Emani P, Yang YT, Xu M, Gandal MJ, Lou S, Zhang J, Park JJ, Yan C, Rhie SK, Manakongtreecheep K, Zhou H, Nathan A, Peters M, Mattei E, Fitzgerald D, Brunetti T, Moore J, Jiang Y, Girdhar K, Hoffman GE, Kalayci S, Gümüş ZH, Crawford GE, Roussos P, Akbarian S, Jaffe A, White K, Weng Z, Sestan N, Geschwind D, Knowles J, Gerstein M, Ashley-Koch A, Crawford G, Garrett M, Song L, Safi A, Johnson G, Wray G, Reddy T, Goes F, Zandi P, Bryois J, Jaffe A, Price A, Ivanov N, Collado-Torres L, Hyde T, Burke E, Kleiman J, Tao R, Shin J, Akbarian S, Girdhar K, Jiang Y, Kundakovic M, Brown L, Kassim B, Park R, Wiseman J, Zharovsky E, Jacobov R, Devillers O, Flatow E, Hoffman G, Lipska B, Lewis D, Haroutunian V, Hahn C, Charney A, Dracheva S, Kozlenkov A, Belmont J, DelValle D, Francoeur N, Hadjimichael E, Pinto D, van Bakel H, Roussos P, Fullard J, Bendl J, Hauberg M, Mangravite L, Peters M, Chae Y, Peng J, Niu M, Wang X, Webster M, Beach T, Chen C, Jiang Y, Dai R, Shieh A, Liu C, Grennan K, Xia Y, Vadukapuram R, Wang Y, Fitzgerald D, Cheng L, Brown M, Brown M, Brunetti T, Goodman T, Alsayed M, Gandal M, Geschwind D, Won H, Polioudakis D, Wamsley B, Yin J, Hadzic T, De La Torre Ubieta L, Swarup V, Sanders S, State M, Werling D, An J, Sheppard B, Willsey A, White K, Ray M, Giase G, Kefi A, Mattei E, Purcaro M, Weng Z, Moore J, Pratt H, Huey J, Borrman T, Sullivan P, Giusti-Rodriguez P, Kim Y, Sullivan P, Szatkiewicz J, Rhie S, Armoskus C, Camarena A, Farnham P, Spitsyna V, Witt H, Schreiner S, Evgrafov O, Knowles J, Gerstein M, Liu S, Wang D, Navarro F, Warrell J, Clarke D, Emani P, Gu M, Shi X, Xu M, Yang Y, Kitchen R, Gürsoy G, Zhang J, Carlyle B, Nairn A, Li M, Pochareddy S, Sestan N, Skarica M, Li Z, Sousa A, Santpere G, Choi J, Zhu Y, Gao T, Miller D, Cherskov A, Yang M, Amiri A, Coppola G, Mariani J, Scuderi S, Szekely A, Vaccarino F, Wu F, Weissman S, Roychowdhury T, Abyzov A. Comprehensive functional genomic resource and integrative model for the human brain. Science 2018, 362 PMID: 30545857, PMCID: PMC6413328, DOI: 10.1126/science.aat8464.Peer-Reviewed Original ResearchConceptsQuantitative trait lociCell type proportionsComprehensive functional genomics resourceExpression quantitative trait lociFunctional genomics resourcesSingle-cell expression profilesGene regulatory networksFurther quantitative trait lociPsychENCODE ConsortiumGenomic resourcesComprehensive online resourceRegulatory networksKey genesCross-population variationExpression profilesMolecular mechanismsCell typesGenesAdult brainPolygenic risk scoresStudy variantsChromatinSplicingGenetic riskInterpretable deep learning model
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 development
2015
The PsychENCODE project
Akbarian S, Liu C, Knowles JA, Vaccarino FM, Farnham PJ, Crawford GE, Jaffe AE, Pinto D, Dracheva S, Geschwind DH, Mill J, Nairn AC, Abyzov A, Pochareddy S, Prabhakar S, Weissman S, Sullivan PF, State MW, Weng Z, Peters MA, White KP, Gerstein MB, Amiri A, Armoskus C, Ashley-Koch AE, Bae T, Beckel-Mitchener A, Berman BP, Coetzee GA, Coppola G, Francoeur N, Fromer M, Gao R, Grennan K, Herstein J, Kavanagh DH, Ivanov NA, Jiang Y, Kitchen RR, Kozlenkov A, Kundakovic M, Li M, Li Z, Liu S, Mangravite LM, Mattei E, Markenscoff-Papadimitriou E, Navarro FC, North N, Omberg L, Panchision D, Parikshak N, Poschmann J, Price AJ, Purcaro M, Reddy TE, Roussos P, Schreiner S, Scuderi S, Sebra R, Shibata M, Shieh AW, Skarica M, Sun W, Swarup V, Thomas A, Tsuji J, van Bakel H, Wang D, Wang Y, Wang K, Werling DM, Willsey AJ, Witt H, Won H, Wong CC, Wray GA, Wu EY, Xu X, Yao L, Senthil G, Lehner T, Sklar P, Sestan N. The PsychENCODE project. Nature Neuroscience 2015, 18: 1707-1712. PMID: 26605881, PMCID: PMC4675669, DOI: 10.1038/nn.4156.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrainChromosome MappingEpigenesis, GeneticGenetic CodeHumansMental DisordersTranscriptomeHow 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 StatementsMeSH KeywordsAdolescentAdolescent PsychiatryAnimalsChildChild PsychiatryDisease Models, AnimalEthics, ResearchHumansMental DisordersRisk FactorsConceptsRisk 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
2011
Induced pluripotent stem cells: A new tool to confront the challenge of neuropsychiatric disorders
Vaccarino FM, Stevens HE, Kocabas A, Palejev D, Szekely A, Grigorenko EL, Weissman S. Induced pluripotent stem cells: A new tool to confront the challenge of neuropsychiatric disorders. Neuropharmacology 2011, 60: 1355-1363. PMID: 21371482, PMCID: PMC3087494, DOI: 10.1016/j.neuropharm.2011.02.021.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsCell DifferentiationHumansInduced Pluripotent Stem CellsMental DisordersNervous System DiseasesNeuronsConceptsInduced pluripotent stem cellsUse of iPSCsPluripotent stem cellsStem cellsEmbryonic stem cellsEarly developmental eventsMature somatic cellsEarly developmental stagesSomatic cellsGenetic variationGene productsDevelopmental eventsReprogramming strategiesNeural differentiationHuman brain developmentDevelopmental stagesIPSC technologyNeurodevelopmental pathwaysDevelopmental originsGenesPotential pharmacological interventionsNew toolGenetic deficitsCellsNeuropsychiatric disordersAnnual 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
2003
Modeling thought and feelings: the why, what and whereabouts of animals in psychiatry
Vaccarino FM. Modeling thought and feelings: the why, what and whereabouts of animals in psychiatry. Brazilian Journal Of Psychiatry 2003, 25: 3-4. PMID: 12975672, DOI: 10.1590/s1516-44462003000100002.Commentaries, Editorials and Letters