2021
Elevated N-Linked Glycosylation of IgG V Regions in Myasthenia Gravis Disease Subtypes.
Mandel-Brehm C, Fichtner ML, Jiang R, Winton VJ, Vazquez SE, Pham MC, Hoehn KB, Kelleher NL, Nowak RJ, Kleinstein SH, Wilson MR, DeRisi JL, O'Connor KC. Elevated N-Linked Glycosylation of IgG V Regions in Myasthenia Gravis Disease Subtypes. The Journal Of Immunology 2021, 207: 2005-2014. PMID: 34544801, PMCID: PMC8492536, DOI: 10.4049/jimmunol.2100225.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAutoantibodiesB-LymphocytesFemaleGlycosylationHumansImmunoglobulin GImmunoglobulin Variable RegionMaleMiddle AgedMyasthenia GravisPhenotypeReceptors, Antigen, B-CellYoung AdultConceptsMyasthenia gravisB-cell-mediated autoimmune diseasesBCR repertoireCell-mediated autoimmune diseaseTotal BCR repertoireTotal circulating IgGSubset of patientsB cell repertoireElevated NGene segment usageMG subtypesAutoimmune disordersAutoimmune diseasesHealthy donorsCell repertoireDisease subtypesDistinct subtypesReceptor repertoireAdaptive immune receptor repertoiresV regionsAutoantigen bindingPatientsSegment usageSubtypesImmune receptor repertoires
2019
Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming
Ohlin M, Scheepers C, Corcoran M, Lees WD, Busse CE, Bagnara D, Thörnqvist L, Bürckert JP, Jackson KJL, Ralph D, Schramm CA, Marthandan N, Breden F, Scott J, Matsen F, Greiff V, Yaari G, Kleinstein SH, Christley S, Sherkow JS, Kossida S, Lefranc MP, van Zelm MC, Watson CT, Collins AM. Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming. Frontiers In Immunology 2019, 10: 435. PMID: 30936866, PMCID: PMC6431624, DOI: 10.3389/fimmu.2019.00435.Peer-Reviewed Original ResearchMeSH KeywordsAllelesBase SequenceDatabases, GeneticDatasets as TopicGene LibraryGenes, ImmunoglobulinGenetic VariationGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionPolymerase Chain ReactionSequence AlignmentSequence Homology, Nucleic AcidTerminology as TopicV(D)J RecombinationVDJ ExonsConceptsGene databaseInternational ImMunoGeneTics information systemAdaptive immune receptor repertoire sequencingLymphocyte receptor genesAllelic variantsGermline genesReceptor geneAIRR CommunityVertebrate speciesGenetic variationIg diversityAIRR-seq dataJ genesIg genesAllelic sequencesGenesIGHV genesEffector moleculesUnprecedented insightsB-cell lineageBiological interpretationT cell receptorReference databaseGene variationRepertoire studies
2016
A Model of Somatic Hypermutation Targeting in Mice Based on High-Throughput Ig Sequencing Data
Cui A, Di Niro R, Vander Heiden JA, Briggs AW, Adams K, Gilbert T, O'Connor KC, Vigneault F, Shlomchik MJ, Kleinstein SH. A Model of Somatic Hypermutation Targeting in Mice Based on High-Throughput Ig Sequencing Data. The Journal Of Immunology 2016, 197: 3566-3574. PMID: 27707999, PMCID: PMC5161250, DOI: 10.4049/jimmunol.1502263.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsB-LymphocytesCells, CulturedClonal Selection, Antigen-MediatedDNA RepairFemaleGerminal CenterHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionMiceMice, Inbred BALB CMice, TransgenicModels, GeneticMutationMutation RateSomatic Hypermutation, ImmunoglobulinConceptsSpecific DNA motifsSimilar biological processesObserved mutation patternDNA repair activityIg sequencesNonfunctional sequencesDNA motifsMutation patternsHigh mutation frequencySelection pressureUnselected mutationsSequencing dataBiological processesFunctional sequencesRepair activityTransition mutationsSomatic hypermutation patternsGerminal center B cellsSomatic hypermutationNext-generation methodsHypermutation patternsMutation frequencyMutationsSequenceMotif
2015
The mutation patterns in B-cell immunoglobulin receptors reflect the influence of selection acting at multiple time-scales
Yaari G, Benichou JI, Heiden J, Kleinstein SH, Louzoun Y. The mutation patterns in B-cell immunoglobulin receptors reflect the influence of selection acting at multiple time-scales. Philosophical Transactions Of The Royal Society B Biological Sciences 2015, 370: 20140242. PMID: 26194756, PMCID: PMC4528419, DOI: 10.1098/rstb.2014.0242.Peer-Reviewed Original ResearchMeSH KeywordsAntibody AffinityAntibody DiversityB-LymphocytesCell LineageClonal Selection, Antigen-MediatedComplementarity Determining RegionsGenes, ImmunoglobulinHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionModels, GeneticModels, ImmunologicalMutationReceptors, Antigen, B-CellSomatic Hypermutation, ImmunoglobulinTime FactorsConceptsLineage treesPositive selectionStrong selection pressureLong-term selectionInfluence of selectionGene familyVariable gene familiesComplementarity determining regionsClone membersMutation patternsSelection pressureB cell populationsImmunoglobulin genesB cellsFramework regionsSomatic hypermutationSomatic mutationsAffinity maturationMutationsClone sizeMaturation processLong trunkAffinity maturation processSignificant diversityMultiple roundsChange-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data
Gupta NT, Vander Heiden JA, Uduman M, Gadala-Maria D, Yaari G, Kleinstein SH. Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. Bioinformatics 2015, 31: 3356-3358. PMID: 26069265, PMCID: PMC4793929, DOI: 10.1093/bioinformatics/btv359.Peer-Reviewed Original ResearchMeSH KeywordsAllelesB-LymphocytesDatabases, GeneticGene Rearrangement, B-LymphocyteGenes, ImmunoglobulinHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Variable RegionMutationSoftwareConceptsHigh-throughput sequencing technologyB cell immunoglobulinLarge-scale characterizationLineage treesSpecialized computational methodsSelection pressureSequencing technologiesSomatic diversityClonal populationsIg repertoireSomatic hypermutationIg sequencesDiversityNon-commercial useSuite of utilitiesRepertoire diversityGermlineComputational methodsAllelesHypermutationAutomated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles
Gadala-Maria D, Yaari G, Uduman M, Kleinstein SH. Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 112: e862-e870. PMID: 25675496, PMCID: PMC4345584, DOI: 10.1073/pnas.1417683112.Peer-Reviewed Original Research
2014
High-resolution antibody dynamics of vaccine-induced immune responses
Laserson U, Vigneault F, Gadala-Maria D, Yaari G, Uduman M, Heiden J, Kelton W, Jung S, Liu Y, Laserson J, Chari R, Lee JH, Bachelet I, Hickey B, Lieberman-Aiden E, Hanczaruk B, Simen BB, Egholm M, Koller D, Georgiou G, Kleinstein SH, Church GM. High-resolution antibody dynamics of vaccine-induced immune responses. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 4928-4933. PMID: 24639495, PMCID: PMC3977259, DOI: 10.1073/pnas.1323862111.Peer-Reviewed Original ResearchMeSH KeywordsAntibodiesClone CellsGenetic VectorsHealthy VolunteersHumansImmunityImmunoglobulin Variable RegionMaleMutationReproducibility of ResultsTime FactorsV(D)J RecombinationVaccinationViral Vaccines
2012
Identification of Core DNA Elements That Target Somatic Hypermutation
Kohler KM, McDonald JJ, Duke JL, Arakawa H, Tan S, Kleinstein SH, Buerstedde JM, Schatz DG. Identification of Core DNA Elements That Target Somatic Hypermutation. The Journal Of Immunology 2012, 189: 5314-5326. PMID: 23087403, PMCID: PMC3664039, DOI: 10.4049/jimmunol.1202082.Peer-Reviewed Original ResearchMeSH Keywords3' Flanking RegionAnimalsB-LymphocytesCells, CulturedChickensChromatin ImmunoprecipitationCytidine DeaminaseDNAEnhancer Elements, GeneticGenes, ImmunoglobulinGenetic LociImmunoassayImmunoglobulin Variable RegionMutationPhosphorylationRNA Polymerase IISerineSomatic Hypermutation, ImmunoglobulinTranscription, GeneticConceptsActivation-induced deaminaseDNA elementsSomatic hypermutationChicken DT40 B cellsIg lociChromatin immunoprecipitation experimentsDT40 B cellsRNA polymerase IISystematic deletion analysisL chain lociNon-Ig genesCore DNA elementSerine 5Epigenetic marksPolymerase IITranscriptional elongationMutational machineryDeletion analysisReporter cassetteImmunoprecipitation experimentsDeoxycytosine residuesIg genesDNA damageChain locusLoci
2011
Somatic hypermutation targeting is influenced by location within the immunoglobulin V region
Cohen RM, Kleinstein SH, Louzoun Y. Somatic hypermutation targeting is influenced by location within the immunoglobulin V region. Molecular Immunology 2011, 48: 1477-1483. PMID: 21592579, PMCID: PMC3109224, DOI: 10.1016/j.molimm.2011.04.002.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsB-LymphocytesBase SequenceGenes, ImmunoglobulinHumansImmunoglobulin Variable RegionMiceModels, GeneticModels, StatisticalMutationSequence Analysis, DNASomatic Hypermutation, ImmunoglobulinConceptsObserved mutation patternSpecific DNA motifsBiased codon usageImmunoglobulin V genesMutation accumulationGene positionCodon usageMutation patternsDNA motifsPositive selectionPosition-specific effectsImmunoglobulin V regionsNegative selectionB cellsMutationsMutation frequencyV geneGenesPeripheral B cellsSubstitution typeV regionsTargetingSpecific targetingCellsSequence
2008
Improved methods for detecting selection by mutation analysis of Ig V region sequences
Hershberg U, Uduman M, Shlomchik MJ, Kleinstein SH. Improved methods for detecting selection by mutation analysis of Ig V region sequences. International Immunology 2008, 20: 683-694. PMID: 18397909, DOI: 10.1093/intimm/dxn026.Peer-Reviewed Original Research