2024
Transgenerational transmission of post-zygotic mutations suggests symmetric contribution of first two blastomeres to human germline
Jang Y, Tomasini L, Bae T, Szekely A, Vaccarino F, Abyzov A. Transgenerational transmission of post-zygotic mutations suggests symmetric contribution of first two blastomeres to human germline. Nature Communications 2024, 15: 9117. PMID: 39438473, PMCID: PMC11496613, DOI: 10.1038/s41467-024-53485-x.Peer-Reviewed Original ResearchMassively 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 cortexNucleotideSingle-cell genomics and regulatory networks for 388 human brains
Emani P, Liu J, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee C, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken T, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard J, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman G, Huang A, Jiang Y, Jin T, Jorstad N, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran J, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan A, Riesenmy T, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini K, Wamsley B, Wang G, Xia Y, Xiao S, Yang A, Zheng S, Gandal M, Lee D, Lein E, Roussos P, Sestan N, Weng Z, White K, Won H, Girgenti M, Zhang J, Wang D, Geschwind D, Gerstein M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Brennand K, Capauto D, Champagne F, Chatzinakos C, Chen H, Cheng L, Chess A, Chien J, 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, Duong D, Eagles N, Edelstein J, Galani K, Girdhar K, Goes F, Greenleaf W, Guo H, Guo Q, Hadas Y, Hallmayer J, Han X, Haroutunian V, He C, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hyde T, Iatrou A, Inoue F, Jajoo A, Jiang L, Jin P, Jops C, Jourdon A, Kellis M, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Li J, Li M, Lin X, Liu S, Liu C, Loupe J, Lu D, Ma L, Mariani J, Martinowich K, Maynard K, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Mukamel E, Nairn A, Nemeroff C, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Pinto D, Pochareddy S, Pollard K, Pollen A, Przytycki P, Purmann C, Qin Z, Qu P, Raj T, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Seyfried N, Shao Z, 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, Wang T, Wang S, Wang Y, Wei Y, Weimer A, Weinberger D, Wen C, Whalen S, Willsey A, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang Y, Ziffra R, Zeier Z, Zintel T. Single-cell genomics and regulatory networks for 388 human brains. Science 2024, 384: eadi5199. PMID: 38781369, PMCID: PMC11365579, DOI: 10.1126/science.adi5199.Peer-Reviewed Original ResearchConceptsSingle-cell genomicsSingle-cell expression quantitative trait locusExpression quantitative trait lociDrug targetsQuantitative trait lociPopulation-level variationSingle-cell expressionCell typesDisease-risk genesTrait lociGene familyRegulatory networksGene expressionCell-typeMultiomics datasetsSingle-nucleiGenomeGenesCellular changesHeterogeneous tissuesExpressionCellsChromatinLociMultiomics
2023
Efficient 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 cellsGenomeLineagesZygotesLinesFibroblastsCells
2020
Cell Lineage Tracing and Cellular Diversity in Humans
Abyzov A, Vaccarino FM. Cell Lineage Tracing and Cellular Diversity in Humans. Annual Review Of Genomics And Human Genetics 2020, 21: 101-116. PMID: 32413272, DOI: 10.1146/annurev-genom-083118-015241.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsLineage tracingLineage mapCell lineage mapCell lineage tracingDNA methylation statusComplex biological processesMultiple cell typesMulticellular organismsCellular diversityMitochondrial DNALineage hierarchyCell lineagesBiological processesNatural variationCell typesMethylation statusLineagesNoncancerous cellsRecent studiesFetal developmentGeneral conceptual designCellsOrganismsHumansDNAAnalysis of Cell and Nucleus Genome by Next-Generation Sequencing
Oh J, Abyzov A. Analysis of Cell and Nucleus Genome by Next-Generation Sequencing. 2020, 35-65. DOI: 10.1007/978-3-030-62532-0_3.Peer-Reviewed Original ResearchSingle-cell genomesBulk of cellsNext-generation sequencing technologiesMosaic variantsNuclear genomeNucleus genomeGenomic mosaicismAnalysis of cellsGenome analysisNext-generation sequencingCell genomeSequencing technologiesGenomeGenomic variantsSingle cellsCellsVariantsMosaicismDiscoverySequencingValuable insightsEnvironmental exposuresChapter 5 Induced pluripotent stem cells as models of human neurodevelopmental disorders
Jourdon A, Mariani J, Scuderi S, Amiri A, Wu F, Yuen E, Abyzov A, Vaccarino F. Chapter 5 Induced pluripotent stem cells as models of human neurodevelopmental disorders. 2020, 99-127. DOI: 10.1016/b978-0-12-814409-1.00005-7.ChaptersPluripotent stem cellsStem cellsStudy of speciesHuman neurodevelopmental disordersEpigenome analysisGene regulationIPSC fieldGenomic variationGene expressionGenetic backgroundDisease modelingStudies of neurodevelopmentIPSCsExperimental approachNeurodevelopmental disordersTranscriptomeGenomeCellsCell phenotypingSpeciesExperimental design issuesPhenotypeRegulationExpressionPhenotyping
2019
Approaches and Methods for Variant Analysis in the Genome of a Single Cell
Abyzov A, Vaccarino F, Urban A, Sarangi V. Approaches and Methods for Variant Analysis in the Genome of a Single Cell. Healthy Ageing And Longevity 2019, 10: 203-228. DOI: 10.1007/978-3-030-24970-0_14.Chapters
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
2015
Single-cell analysis of targeted transcriptome predicts drug sensitivity of single cells within human myeloma tumors
Mitra A, Mukherjee U, Harding T, Jang J, Stessman H, Li Y, Abyzov A, Jen J, Kumar S, Rajkumar V, Van Ness B. Single-cell analysis of targeted transcriptome predicts drug sensitivity of single cells within human myeloma tumors. Leukemia 2015, 30: 1094-1102. PMID: 26710886, DOI: 10.1038/leu.2015.361.Peer-Reviewed Original ResearchConceptsSingle cellsIndividual cellsSignificant genetic diversitySingle-cell analysisGene expression profile signaturesSingle-cell levelGenetic diversityTranscriptome analysisDrug responseCellular responsesDrug sensitivityBulk populationInhibitor sensitivitySubclonal architectureProfiling studiesPCR analysisPrediction programsCell linesMyeloma cell linesTumor progressionCellsIntratumor heterogeneityProfile signaturesProteasome inhibitor sensitivitySubclonal level
2012
Somatic copy number mosaicism in human skin revealed by induced pluripotent stem cells
Abyzov A, Mariani J, Palejev D, Zhang Y, Haney MS, Tomasini L, Ferrandino AF, Rosenberg Belmaker LA, Szekely A, Wilson M, Kocabas A, Calixto NE, Grigorenko EL, Huttner A, Chawarska K, Weissman S, Urban AE, Gerstein M, Vaccarino FM. Somatic copy number mosaicism in human skin revealed by induced pluripotent stem cells. Nature 2012, 492: 438-442. PMID: 23160490, PMCID: PMC3532053, DOI: 10.1038/nature11629.Peer-Reviewed Original Research