2024
Massively parallel characterization of regulatory elements in the developing human cortex
Deng C, Whalen S, Steyert M, Ziffra R, Przytycki P, Inoue F, Pereira D, Capauto D, Norton S, Vaccarino F, Pollen A, Nowakowski T, Ahituv N, Pollard K, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Bendl J, Berretta S, Bharadwaj R, Bhattacharya A, Bicks L, Brennand K, Capauto D, Champagne F, Chatterjee T, Chatzinakos C, Chen Y, Chen H, Cheng Y, Cheng L, Chess A, Chien J, Chu Z, Clarke D, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Davila-Velderrain J, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duan Z, Duong D, Dursun C, Eagles N, Edelstein J, Emani P, Fullard J, Galani K, Galeev T, Gandal M, Gaynor S, Gerstein M, Geschwind D, Girdhar K, Goes F, Greenleaf W, Grundman J, Guo H, Guo Q, Gupta C, Hadas Y, Hallmayer J, Han X, Haroutunian V, Hawken N, He C, Henry E, Hicks S, Ho M, Ho L, Hoffman G, Huang Y, Huuki-Myers L, Hwang A, Hyde T, Iatrou A, Inoue F, Jajoo A, Jensen M, Jiang L, Jin P, Jin T, Jops C, Jourdon A, Kawaguchi R, Kellis M, Khullar S, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Lee C, Lee D, Li J, Li M, Lin X, Liu S, Liu J, Liu J, Liu C, Liu S, Lou S, Loupe J, Lu D, Ma S, Ma L, Margolis M, Mariani J, Martinowich K, Maynard K, Mazariegos S, Meng R, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Moore J, Moran J, Mukamel E, Nairn A, Nemeroff C, Ni P, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Phalke N, Pinto D, Pjanic M, Pochareddy S, Pollard K, Pollen A, Pratt H, Przytycki P, Purmann C, Qin Z, Qu P, Quintero D, Raj T, Rajagopalan A, Reach S, Reimonn T, Ressler K, Ross D, Roussos P, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Sestan N, Seyfried N, Shao Z, Shedd N, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Subburaju S, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Voloudakis G, Wamsley B, Wang T, Wang S, Wang D, Wang Y, Warrell J, Wei Y, Weimer A, Weinberger D, Wen C, Weng Z, Whalen S, White K, Willsey A, Won H, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Xu S, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang J, Zhang Y, Zhou X, Ziffra R, Zeier Z, Zintel T. Massively parallel characterization of regulatory elements in the developing human cortex. Science 2024, 384: eadh0559. PMID: 38781390, DOI: 10.1126/science.adh0559.Peer-Reviewed Original ResearchConceptsGene regulatory elementsRegulatory elementsRegulation of enhancer activityCharacterization of regulatory elementsCis-regulatory activityNeuronal developmentPrimary cellsEnhanced activityGene regulationHuman neuronal developmentNucleotide changesEnhancer sequencesSequence basisUpstream regulatorComprehensive catalogHuman cellsDeveloping cortexSequenceVariantsOrganoidsCellsCerebral organoidsCortexHuman cortexNucleotideEvaluating 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
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 ResearchMODELING OF CHILDHOOD NEUROPSYCHIATRIC DISORDERS
Vaccarino F. MODELING OF CHILDHOOD NEUROPSYCHIATRIC DISORDERS. IBRO Neuroscience Reports 2023, 15: s35-s36. DOI: 10.1016/j.ibneur.2023.08.2120.Peer-Reviewed Original ResearchAuthor Correction: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis
Jourdon A, Wu F, Mariani J, Capauto D, Norton S, Tomasini L, Amiri A, Suvakov M, Schreiner J, Jang Y, Panda A, Nguyen C, Cummings E, Han G, Powell K, Szekely A, McPartland J, Pelphrey K, Chawarska K, Ventola P, Abyzov A, Vaccarino F. Author Correction: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis. Nature Neuroscience 2023, 26: 2035-2035. PMID: 37674007, DOI: 10.1038/s41593-023-01447-9.Peer-Reviewed Original ResearchAuthor Correction: 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 A, Mariani J, Petrov D, Barres B, Duncan L, Abyzov A, Vogel H, Moran J, Vaccarino F, Tamminga C, Levinson D, Urban A. Author Correction: Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia. Nature Neuroscience 2023, 26: 1833-1833. PMID: 37648813, DOI: 10.1038/s41593-023-01438-w.Peer-Reviewed Original ResearchModeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis
Jourdon A, Wu F, Mariani J, Capauto D, Norton S, Tomasini L, Amiri A, Suvakov M, Schreiner J, Jang Y, Panda A, Nguyen C, Cummings E, Han G, Powell K, Szekely A, McPartland J, Pelphrey K, Chawarska K, Ventola P, Abyzov A, Vaccarino F. Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis. Nature Neuroscience 2023, 26: 1505-1515. PMID: 37563294, PMCID: PMC10573709, DOI: 10.1038/s41593-023-01399-0.Peer-Reviewed Original ResearchConceptsIdiopathic autism spectrum disorderCortical neuron subtypesAutism spectrum disorderEarly cortical developmentCortical organoidsCortical plateExcitatory neuronsCortical developmentRare formNeuron subtypesUnaffected fatherASD pathogenesisForebrain organoidsEarly neurogenesisRare variantsIdiopathic autismRisk genesTranscriptomic alterationsNeuronsProbandsSingle-cell transcriptomicsForebrain developmentSpectrum disorderTranscriptomic changesAlterationsEarly Neuronal Differentiation/patterning of the Human Pallium, Modeling by in Vitro Systems, and Disruption in Developmental Disorders
Scuderi S, Jourdon A, Vaccarino F. Early Neuronal Differentiation/patterning of the Human Pallium, Modeling by in Vitro Systems, and Disruption in Developmental Disorders. 2023, 423-442. DOI: 10.1002/9781119860914.ch20.Peer-Reviewed Original ResearchCentral nervous systemDorsal-anterior partHuman cortexCortical developmentInhibitory neuronsSingle-cell omicsAnimal modelsNervous systemCortical layersMammalian brainBrain regionsCortical formationPopulations of excitatoryTangential migrationAltered developmentCortical structuresAnterior partCortical patterningPrecursor cellsEarly neuronal differentiationIncoming afferentsCortexNeuronal differentiationNeuronsHuman specificityEfficient reconstruction of cell lineage trees for cell ancestry and cancer
Jang Y, Fasching L, Bae T, Tomasini L, Schreiner J, Szekely A, Fernandez T, Leckman J, Vaccarino F, Abyzov A. Efficient reconstruction of cell lineage trees for cell ancestry and cancer. Nucleic Acids Research 2023, 51: e57-e57. PMID: 37026484, PMCID: PMC10250207, DOI: 10.1093/nar/gkad254.Peer-Reviewed Original ResearchConceptsLineage treesCell ancestryCell lineage treesFirst cell divisionStem cell linesPluripotent stem cell lineLineage reconstructionInduced pluripotent stem cell lineCell divisionCancer progressionLineage representationCell linesMosaic mutationsHuman skin fibroblastsTreesMutationsAncestrySkin fibroblastsMultiple cellsGenomeLineagesZygotesLinesFibroblastsCellsClonally Selected Lines After CRISPR-Cas Editing Are Not Isogenic
Panda A, Suvakov M, Mariani J, Drucker K, Park Y, Jang Y, Kollmeyer T, Sarkar G, Bae T, Kim J, Yoon W, Jenkins R, Vaccarino F, Abyzov A. Clonally Selected Lines After CRISPR-Cas Editing Are Not Isogenic. The CRISPR Journal 2023, 6: 176-182. PMID: 37071670, PMCID: PMC10123805, DOI: 10.1089/crispr.2022.0050.Peer-Reviewed Original ResearchConceptsCopy number alterationsSeparate genomic lociSingle nucleotide mutationsApplication of CRISPRCRISPR-Cas editingOff-target editsScreening of clonesGenomic divergenceWhole-genome sequencingGenomic lociSelection of clonesGenome sequencingNucleotide mutationsTarget editsCultured cellsClonal linesNumber alterationsCell cloningClonesMutationsCloningCRISPRNeonatal loss of FGFR2 in astroglial cells affects locomotion, sociability, working memory, and glia-neuron interactions in mice
Stevens H, Scuderi S, Collica S, Tomasi S, Horvath T, Vaccarino F. Neonatal loss of FGFR2 in astroglial cells affects locomotion, sociability, working memory, and glia-neuron interactions in mice. Translational Psychiatry 2023, 13: 89. PMID: 36906620, PMCID: PMC10008554, DOI: 10.1038/s41398-023-02372-y.Peer-Reviewed Original ResearchConceptsFibroblast growth factor receptor 2Anxiety-like behaviorAttention deficit hyperactivity disorderAstroglial cellsGrowth factor receptor 2Reduced anxiety-like behaviorGlia-neuron interactionsAstroglial cell functionEarly postnatal periodFactor receptor 2Early postnatal lossPostnatal mouse brainWeeks of ageDeficit hyperactivity disorderGlial cellsGlutamine synthetase expressionBehavioral deficitsPostnatal periodReceptor 2Floxed miceHGFAP-CreMouse brainNeonatal lossPostnatal astrogliaPostnatal lossMaternal FGF2 levels associated with child anxiety and depression symptoms through child FGF2 levels
Lebowitz E, Marin C, Orbach M, Salmaso N, Vaccarino F, Silverman W. Maternal FGF2 levels associated with child anxiety and depression symptoms through child FGF2 levels. Journal Of Affective Disorders 2023, 326: 193-197. PMID: 36717031, PMCID: PMC10104478, DOI: 10.1016/j.jad.2023.01.090.Peer-Reviewed Original ResearchConceptsFGF2 levelsDepressive symptomsDepression symptomsChild anxietySymptoms of anxietyRatings of anxietyGrowth factor 2Maternal anxietySymptomsDepressed childrenDepressionChild depressionMothersChildrenFactor 2Self-report ratingsAnxietyIntergenerational pathwaysNon-referred childrenRange of anxietyFGF2AssociationLevelsMaternalEnhancer-driven regulatory network of forebrain human development provides insights into autism
Jourdon A, Mariani J, Wu F, Capauto D, Norton S, Tomasini L, Amiri A, Schreiner J, Khanh Nguyen C, Nolan N, Szekely A, McPartland JC, Pelphrey K, Chawarska K, Ventola P, Abyzov A, Vaccarino FM. Enhancer-driven regulatory network of forebrain human development provides insights into autism. BioRxiv. 2023 September. doi: 10.1101/2023.09.06.555206.Peer-Reviewed Original Research
2022
Characterization of human basal ganglia organoids
Brady M, Mariani J, Koca Y, Szekely A, King R, Bloch M, Landeros-Weisenberger A, Leckman J, Vaccarino F. Characterization of human basal ganglia organoids. Molecular Psychiatry 2022, 27: 4823-4823. PMID: 36536052, DOI: 10.1038/s41380-022-01914-y.Peer-Reviewed Original ResearchSomatic genomic mosaicism in the brain during aging: Scratching the surface
Bae T, Wang Y, Vaccarino F, Abyzov A. Somatic genomic mosaicism in the brain during aging: Scratching the surface. Clinical And Translational Medicine 2022, 12: e1138. PMID: 36495113, PMCID: PMC9736788, DOI: 10.1002/ctm2.1138.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMispatterning and interneuron deficit in Tourette Syndrome basal ganglia organoids
Brady M, Mariani J, Koca Y, Szekely A, King R, Bloch M, Landeros-Weisenberger A, Leckman J, Vaccarino F. Mispatterning and interneuron deficit in Tourette Syndrome basal ganglia organoids. Molecular Psychiatry 2022, 27: 5007-5019. PMID: 36447010, PMCID: PMC9949887, DOI: 10.1038/s41380-022-01880-5.Peer-Reviewed Original ResearchConceptsTourette syndromeInterneuron deficitsGABAergic interneuronsHealthy controlsNeurodevelopmental underpinningsNeuropathological deficitsBG circuitryNeuropsychiatric disordersDecreased differentiationT patientsInterneuronsAltered expressionPotential mechanismsCilia disruptionSonic hedgehogOrganoidsStem cellsTS individualsPluripotent stem cellsGli transcription factorsDeficitsOrganoid differentiationEarly stagesCholinergicPatientsCorrection: All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons
Sarangi V, Jang Y, Suvakov M, Bae T, Fasching L, Sekar S, Tomasini L, Mariani J, Vaccarino F, Abyzov A. Correction: All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons. PLOS Computational Biology 2022, 18: e1010703. PMID: 36378632, PMCID: PMC9665359, DOI: 10.1371/journal.pcbi.1010703.Peer-Reviewed Original ResearchA nomenclature consensus for nervous system organoids and assembloids
Pașca SP, Arlotta P, Bateup HS, Camp JG, Cappello S, Gage FH, Knoblich JA, Kriegstein AR, Lancaster MA, Ming GL, Muotri AR, Park IH, Reiner O, Song H, Studer L, Temple S, Testa G, Treutlein B, Vaccarino FM. A nomenclature consensus for nervous system organoids and assembloids. Nature 2022, 609: 907-910. PMID: 36171373, PMCID: PMC10571504, DOI: 10.1038/s41586-022-05219-6.Peer-Reviewed Original ResearchAnalysis of somatic mutations in 131 human brains reveals aging-associated hypermutability
Bae T, Fasching L, Wang Y, Shin JH, Suvakov M, Jang Y, Norton S, Dias C, Mariani J, Jourdon A, Wu F, Panda A, Pattni R, Chahine Y, Yeh R, Roberts RC, Huttner A, Kleinman JE, Hyde TM, Straub RE, Walsh CA, Urban A, Leckman J, Weinberger D, Vaccarino F, Abyzov A, Walsh C, Park P, Sestan N, Weinberger D, Moran J, Gage F, Vaccarino F, Gleeson J, Mathern G, Courchesne E, Roy S, Chess A, Akbarian S, Bizzotto S, Coulter M, Dias C, D’Gama A, Ganz J, Hill R, Huang A, Khoshkhoo S, Kim S, Lee A, Lodato M, Maury E, Miller M, Borges-Monroy R, Rodin R, Zhou Z, Bohrson C, Chu C, Cortes-Ciriano I, Dou Y, Galor A, Gulhan D, Kwon M, Luquette J, Sherman M, Viswanadham V, Jones A, Rosenbluh C, Cho S, Langmead B, Thorpe J, Erwin J, Jaffe A, McConnell M, Narurkar R, Paquola A, Shin J, Straub R, Abyzov A, Bae T, Jang Y, Wang Y, Molitor C, Peters M, Linker S, Reed P, Wang M, Urban A, Zhou B, Zhu X, Pattni R, Serres Amero A, Juan D, Lobon I, Marques-Bonet T, Solis Moruno M, Garcia Perez R, Povolotskaya I, Soriano E, Antaki D, Averbuj D, Ball L, Breuss M, Yang X, Chung C, Emery S, Flasch D, Kidd J, Kopera H, Kwan K, Mills R, Moldovan J, Sun C, Zhao X, Zhou W, Frisbie T, Cherskov A, Fasching L, Jourdon A, Pochareddy S, Scuderi S. Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability. Science 2022, 377: 511-517. PMID: 35901164, PMCID: PMC9420557, DOI: 10.1126/science.abm6222.Peer-Reviewed Original ResearchConceptsTranscription factorsSomatic mutationsPutative transcription factorEnhancer-like regionSingle nucleotide mutationsWhole-genome sequencingGene regulationSomatic duplicationGenome sequencingDamaging mutationsBackground mutagenesisMutationsHypermutabilityClonal expansionMotifDiseased brainPotential linkVivo clonal expansionMutagenesisGenesDuplicationSequencingRegulation