Featured Publications
The Complete Genome Sequences, Unique Mutational Spectra, and Developmental Potency of Adult Neurons Revealed by Cloning
Hazen JL, Faust GG, Rodriguez AR, Ferguson WC, Shumilina S, Clark RA, Boland MJ, Martin G, Chubukov P, Tsunemoto RK, Torkamani A, Kupriyanov S, Hall IM, Baldwin KK. The Complete Genome Sequences, Unique Mutational Spectra, and Developmental Potency of Adult Neurons Revealed by Cloning. Neuron 2016, 89: 1223-1236. PMID: 26948891, PMCID: PMC4795965, DOI: 10.1016/j.neuron.2016.02.004.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAnimalsAnimals, NewbornCadherin Related ProteinsCadherinsCell DivisionCloning, MolecularDNA Transposable ElementsEmbryo, MammalianFemaleHumansKi-67 AntigenMiceMice, TransgenicMicrosatellite RepeatsMutationNerve Tissue ProteinsNeuronsNuclear Transfer TechniquesOlfactory BulbOocytesSequence Analysis, DNAConceptsCell type diversificationComplete genome sequenceMobile element insertionsNuclear transfer methodWhole-genome sequencingNeuronal genomeGene-disrupting mutationsNeuronal mutationsGenome sequenceUnique mutational spectrumDevelopmental potencyComprehensive mutation detectionElement insertionsGenomic mutationsRecurrent rearrangementsNovel mechanismUnique mutationsMutationsSomatic mutationsGene biasGenomeAdult neuronsMutational spectrumFertile miceMutation detectionCharacterizing complex structural variation in germline and somatic genomes
Quinlan AR, Hall IM. Characterizing complex structural variation in germline and somatic genomes. Trends In Genetics 2011, 28: 43-53. PMID: 22094265, PMCID: PMC3249479, DOI: 10.1016/j.tig.2011.10.002.Peer-Reviewed Original ResearchConceptsComplex structural variationsStructural variationsNext-generation DNA sequencingHallmarks of cancerSomatic genomeGenetic diversityMultiple chromosomesSingle locusDistinct lociRecombination eventsComplex variantsSingle mutationMapping experimentsDNA sequencingComplicated rearrangementsMammalsCurrent knowledgeMapping studiesLociSubtle alterationsVariantsGenomeSurprising numberChromosomesGermlineGenome Sequencing of Mouse Induced Pluripotent Stem Cells Reveals Retroelement Stability and Infrequent DNA Rearrangement during Reprogramming
Quinlan AR, Boland MJ, Leibowitz ML, Shumilina S, Pehrson SM, Baldwin KK, Hall IM. Genome Sequencing of Mouse Induced Pluripotent Stem Cells Reveals Retroelement Stability and Infrequent DNA Rearrangement during Reprogramming. Cell Stem Cell 2011, 9: 366-373. PMID: 21982236, PMCID: PMC3975295, DOI: 10.1016/j.stem.2011.07.018.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBase SequenceCell LineageCellular ReprogrammingChimeraDNA Copy Number VariationsFalse Negative ReactionsGene RearrangementGene SilencingGenomeGenomic InstabilityHumansInduced Pluripotent Stem CellsMiceMolecular Sequence DataMutagenesis, InsertionalOrgan SpecificityRetroelementsSequence Analysis, DNAConceptsPluripotent stem cellsClasses of SVsPaired-end DNA sequencingStem cellsGenomic structural variationMouse Induced Pluripotent Stem CellsStructural variationsDNA copy number variationsEmbryonic stem cellsMost iPSC linesMouse iPSC linesIPSC linesInduced pluripotent stem cellsCopy number variationsGenome stabilityGene-disrupting mutationsRecent microarray studiesDNA rearrangementsGenome sequencingSpontaneous mutationsMicroarray studiesDeleterious genetic mutationsNumber variationsDNA sequencingComplex rearrangementsRecurrent DNA copy number variation in the laboratory mouse
Egan CM, Sridhar S, Wigler M, Hall IM. Recurrent DNA copy number variation in the laboratory mouse. Nature Genetics 2007, 39: 1384-1389. PMID: 17965714, DOI: 10.1038/ng.2007.19.Peer-Reviewed Original ResearchConceptsCopy number variationsCopy numberNumber variationsGenome-wide analysisDNA copy number variationsRecent common ancestryGenerations of inbreedingRecurrent copy number variationsHigh-resolution microarraysCommon ancestryNatural variationGenetic differencesDifferent speciesDifferent lociGenerational timeLaboratory miceNonrandom processGenomeRecurrent mutationsLociAdditional strainsInbreedingLineagesGenesDiscrete segments
2017
Dynamic landscape and regulation of RNA editing in mammals
Aguet F, Ardlie K, Cummings B, Gelfand E, Getz G, Hadley K, Handsaker R, Huang K, Kashin S, Karczewski K, Lek M, Li X, MacArthur D, Nedzel J, Nguyen D, Noble M, Segrè A, Trowbridge C, Tukiainen T, Abell N, Balliu B, Barshir R, Basha O, Battle A, Bogu G, Brown A, Brown C, Castel S, Chen L, Chiang C, Conrad D, Cox N, Damani F, Davis J, Delaneau O, Dermitzakis E, Engelhardt B, Eskin E, Ferreira P, Frésard L, Gamazon E, Garrido-Martín D, Gewirtz A, Gliner G, Gloudemans M, Guigo R, Hall I, Han B, He Y, Hormozdiari F, Howald C, Kyung Im H, Jo B, Yong Kang E, Kim Y, Kim-Hellmuth S, Lappalainen T, Li G, Li X, Liu B, Mangul S, McCarthy M, McDowell I, Mohammadi P, Monlong J, Montgomery S, Muñoz-Aguirre M, Ndungu A, Nicolae D, Nobel A, Oliva M, Ongen H, Palowitch J, Panousis N, Papasaikas P, Park Y, Parsana P, Payne A, Peterson C, Quan J, Reverter F, Sabatti C, Saha A, Sammeth M, Scott A, Shabalin A, Sodaei R, Stephens M, Stranger B, Strober B, Sul J, Tsang E, Urbut S, van de Bunt M, Wang G, Wen X, Wright F, Xi H, Yeger-Lotem E, Zappala Z, Zaugg J, Zhou Y, Akey J, Bates D, Chan J, Chen L, Claussnitzer M, Demanelis K, Diegel M, Doherty J, Feinberg A, Fernando M, Halow J, Hansen K, Haugen E, Hickey P, Hou L, Jasmine F, Jian R, Jiang L, Johnson A, Kaul R, Kellis M, Kibriya M, Lee K, Li J, Li Q, Li X, Lin J, Lin S, Linder S, Linke C, Liu Y, Maurano M, Molinie B, Montgomery S, Nelson J, Neri F, Oliva M, Park Y, Pierce B, Rinaldi N, Rizzardi L, Sandstrom R, Skol A, Smith K, Snyder M, Stamatoyannopoulos J, Stranger B, Tang H, Tsang E, Wang L, Wang M, Van Wittenberghe N, Wu F, Zhang R, Nierras C, Branton P, Carithers L, Guan P, Moore H, Rao A, Vaught J, Gould S, Lockart N, Martin C, Struewing J, Volpi S, Addington A, Koester S, Little A, Brigham L, Hasz R, Hunter M, Johns C, Johnson M, Kopen G, Leinweber W, Lonsdale J, McDonald A, Mestichelli B, Myer K, Roe B, Salvatore M, Shad S, Thomas J, Walters G, Washington M, Wheeler J, Bridge J, Foster B, Gillard B, Karasik E, Kumar R, Miklos M, Moser M, Jewell S, Montroy R, Rohrer D, Valley D, Davis D, Mash D, Undale A, Smith A, Tabor D, Roche N, McLean J, Vatanian N, Robinson K, Sobin L, Barcus M, Valentino K, Qi L, Hunter S, Hariharan P, Singh S, Um K, Matose T, Tomaszewski M, Barker L, Mosavel M, Siminoff L, Traino H, Flicek P, Juettemann T, Ruffier M, Sheppard D, Taylor K, Trevanion S, Zerbino D, Craft B, Goldman M, Haeussler M, Kent W, Lee C, Paten B, Rosenbloom K, Vivian J, Zhu J. Dynamic landscape and regulation of RNA editing in mammals. Nature 2017, 550: 249-254. PMID: 29022589, PMCID: PMC5723435, DOI: 10.1038/nature24041.Peer-Reviewed Original Research
2014
Population-based structural variation discovery with Hydra-Multi
Lindberg MR, Hall IM, Quinlan AR. Population-based structural variation discovery with Hydra-Multi. Bioinformatics 2014, 31: 1286-1289. PMID: 25527832, PMCID: PMC4393510, DOI: 10.1093/bioinformatics/btu771.Peer-Reviewed Original ResearchConceptsNumber of genomesSV analysisStructural variation discoveryStructural variant detectionHuman genomeCancer Genome AtlasVariation discoveryGenomic rearrangementsGenome ProjectSequence alignmentSignal integrationIndel discoveryGenome AtlasGenomeMultiple individualsSupplementary dataSize variabilityVariant detectionCommodity hardwarePoor scalabilityAvailable datasetsAnalysis workflowScalabilityExtant toolsDiscovery