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 cellsGenomeLineagesZygotesLinesFibroblastsCellsComprehensive 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
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 length