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 Research
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
Chapter 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
Different mutational rates and mechanisms in human cells at pregastrulation and neurogenesis
Bae T, Tomasini L, Mariani J, Zhou B, Roychowdhury T, Franjic D, Pletikos M, Pattni R, Chen BJ, Venturini E, Riley-Gillis B, Sestan N, Urban AE, Abyzov A, Vaccarino FM. Different mutational rates and mechanisms in human cells at pregastrulation and neurogenesis. Science 2017, 359: 550-555. PMID: 29217587, PMCID: PMC6311130, DOI: 10.1126/science.aan8690.Peer-Reviewed Original ResearchConceptsSingle nucleotide variationsMutation rateCancer cell genomeClonal cell populationsCell genomeCell lineagesBackground mutagenesisHuman cellsMutational rateSomatic mosaicismSingle cellsOxidative damageGenomeMutagenesisCell populationsMutation spectrumNeurogenesisCellsHuman fetusesIndividual neuronsLineagesPregastrulationHuman brainBrainMutationsOne thousand somatic SNVs per skin fibroblast cell set baseline of mosaic mutational load with patterns that suggest proliferative origin
Abyzov A, Tomasini L, Zhou B, Vasmatzis N, Coppola G, Amenduni M, Pattni R, Wilson M, Gerstein M, Weissman S, Urban AE, Vaccarino FM. One thousand somatic SNVs per skin fibroblast cell set baseline of mosaic mutational load with patterns that suggest proliferative origin. Genome Research 2017, 27: 512-523. PMID: 28235832, PMCID: PMC5378170, DOI: 10.1101/gr.215517.116.Peer-Reviewed Original ResearchConceptsSomatic mosaicismFibroblast cellsSingle-cell whole-genome amplificationAllele frequenciesNumber of SNVsNormal cell proliferationCell proliferationWhole genome amplificationStem cell linesPluripotent stem cell lineHealthy human tissuesDe novo variantsCancer mutationsHigh-resolution analysisMutational loadPCR experimentsSkin fibroblast cellsMutational signaturesHiPSC linesDe novoGenomeNovo variantsFibroblast populationsCell linesSomatic SNVs
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 Research