2023
Comprehensive multi-omic profiling of somatic mutations in malformations of cortical development
Chung C, Yang X, Bae T, Vong K, Mittal S, Donkels C, Westley Phillips H, Li Z, Marsh A, Breuss M, Ball L, Garcia C, George R, Gu J, Xu M, Barrows C, James K, Stanley V, Nidhiry A, Khoury S, Howe G, Riley E, Xu X, Copeland B, Wang Y, Kim S, Kang H, Schulze-Bonhage A, Haas C, Urbach H, Prinz M, Limbrick D, Gurnett C, Smyth M, Sattar S, Nespeca M, Gonda D, Imai K, Takahashi Y, Chen H, Tsai J, Conti V, Guerrini R, Devinsky O, Silva W, Machado H, Mathern G, Abyzov A, Baldassari S, Baulac S, Gleeson J. Comprehensive multi-omic profiling of somatic mutations in malformations of cortical development. Nature Genetics 2023, 55: 209-220. PMID: 36635388, PMCID: PMC9961399, DOI: 10.1038/s41588-022-01276-9.Peer-Reviewed Original ResearchConceptsSingle-nucleus RNA sequencingSpatiotemporal expression patternsSomatic mutationsTarget amplicon sequencingLow allelic fractionsMulti-omics profilingGene setsRNA sequencingFunctional validationCellular organizationExpression patternsGenotype-phenotype correlation analysisGenetic landscapeCortical developmentMutationsGenetic causeUtero electroporationSomatic mosaic mutationsGenesCritical roleMosaic mutationsSequencingNeuronal hyperexcitabilityBrain resectionProfiling
2022
Analysis 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
2021
Landmarks of human embryonic development inscribed in somatic mutations
Bizzotto S, Dou Y, Ganz J, Doan R, Kwon M, Bohrson C, Kim S, Bae T, Abyzov A, Network† N, Park P, Walsh C. Landmarks of human embryonic development inscribed in somatic mutations. Science 2021, 371: 1249-1253. PMID: 33737485, PMCID: PMC8170505, DOI: 10.1126/science.abe1544.Peer-Reviewed Original ResearchConceptsSomatic single nucleotide variantsHuman embryonic developmentEmbryonic developmentEarly embryonic cell divisionsTransposase-accessible chromatin sequencingSingle cellsSingle-nucleus assayHigh-depth whole-genome sequencingSingle-nucleus RNA sequencingEmbryonic cell divisionCell lineage informationDistinct germ layersOnset of gastrulationSingle nucleotide variantsOrganismal developmentWhole-genome sequencingExtraembryonic tissuesCell divisionRNA sequencingProgenitor poolLineage informationGerm layersEarly progenitorsMultiple tissuesSequencing
2020
SCELLECTOR: ranking amplification bias in single cells using shallow sequencing
Sarangi V, Jourdon A, Bae T, Panda A, Vaccarino F, Abyzov A. SCELLECTOR: ranking amplification bias in single cells using shallow sequencing. BMC Bioinformatics 2020, 21: 521. PMID: 33183232, PMCID: PMC7663899, DOI: 10.1186/s12859-020-03858-y.Peer-Reviewed Original ResearchConceptsMultiple displacement amplificationShallow sequencingSingle-cell platformsSingle-cell sequencingCoverage sequencing dataSingle cellsHuman neuronal cellsMosaic mutationsAmount of DNAAmplification qualityCell sequencingCoverage sequencingHigh-coverage dataSequencing dataHaplotype informationPhi29 polymeraseDNA damageIndividual cellsNeuronal cellsSequencingAmplification biasAllelic imbalancePresence of sitesMutationsFragment lengthAnalysis 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 exposures