2024
Characterization 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 ResearchMeSH KeywordsEnhancer Elements, GeneticGene Expression RegulationHumansOrganoidsProsencephalonRegulatory Sequences, Nucleic AcidConceptsMassively parallel reporter assaysGene expressionRegulation of gene expressionForebrain organoidsHuman fetal tissuesHigh-throughput assayReporter assayFetal tissuesStem cellsNeurodevelopmentHuman neurodevelopmentActivation signalsEnhanced activityGenesOrganoidsForebrainBrain organoidsAssayBrain
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 ResearchMeSH KeywordsAgingAutistic DisorderBrainEnhancer Elements, GeneticGene Expression RegulationHumansMutagenesisMutationProtein BindingTranscription FactorsWhole Genome SequencingConceptsTranscription factorsSomatic mutationsPutative transcription factorEnhancer-like regionSingle nucleotide mutationsWhole-genome sequencingGene regulationSomatic duplicationGenome sequencingDamaging mutationsBackground mutagenesisMutationsHypermutabilityClonal expansionMotifDiseased brainPotential linkVivo clonal expansionMutagenesisGenesDuplicationSequencingRegulation
2012
Regulatory element copy number differences shape primate expression profiles
Iskow RC, Gokcumen O, Abyzov A, Malukiewicz J, Zhu Q, Sukumar AT, Pai AA, Mills RE, Habegger L, Cusanovich DA, Rubel MA, Perry GH, Gerstein M, Stone AC, Gilad Y, Lee C. Regulatory element copy number differences shape primate expression profiles. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 12656-12661. PMID: 22797897, PMCID: PMC3411951, DOI: 10.1073/pnas.1205199109.Peer-Reviewed Original ResearchConceptsCopy number differencesExpression differencesExpression profilesLong intergenic noncoding RNAsCopy numberIntergenic noncoding RNAsGene expression differencesSignificant expression differencesGene expression profilesLevel of RNAUltraconserved elementsRegulatory regionsNoncoding RNAsSelective pressureDifferent genesRegulatory moleculesDevelopmental pathwaysPhenotypic differencesPrimate speciesGenesRNANumber differenceSpeciesExpressionPseudogenes
2011
AlleleSeq: analysis of allele‐specific expression and binding in a network framework
Rozowsky J, Abyzov A, Wang J, Alves P, Raha D, Harmanci A, Leng J, Bjornson R, Kong Y, Kitabayashi N, Bhardwaj N, Rubin M, Snyder M, Gerstein M. AlleleSeq: analysis of allele‐specific expression and binding in a network framework. Molecular Systems Biology 2011, 7: msb201154. PMID: 21811232, PMCID: PMC3208341, DOI: 10.1038/msb.2011.54.Peer-Reviewed Original ResearchMeSH KeywordsAllelesCell LineChromosome MappingChromosomes, Human, XChromosomes, Human, YDatabases, GeneticDNA-Binding ProteinsGene Expression RegulationGene Regulatory NetworksGenome, HumanHumansMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSequence Analysis, RNATranscription FactorsConceptsAllele-specific expressionGenome sequenceFunctional genomics data setsAllele-specific behaviorAllele-specific eventsDiploid genome sequenceChIP-seq data setsGenomic data setsGenomic sequence variantsPersonal genome sequencesAlignment of readsRNA-seqGenome ProjectPaternal alleleComputational pipelineReads mappingSequence variantsNetwork motifsVariation dataReference alleleAllelesReadsSequenceExpressionMaternally
2010
Analysis of Combinatorial Regulation: Scaling of Partnerships between Regulators with the Number of Governed Targets
Bhardwaj N, Carson MB, Abyzov A, Yan KK, Lu H, Gerstein MB. Analysis of Combinatorial Regulation: Scaling of Partnerships between Regulators with the Number of Governed Targets. PLOS Computational Biology 2010, 6: e1000755. PMID: 20523742, PMCID: PMC2877725, DOI: 10.1371/journal.pcbi.1000755.Peer-Reviewed Original Research