Adjunct Faculty
Adjunct faculty typically have an academic or research appointment at another institution and contribute or collaborate with one or more School of Medicine faculty members or programs.
Adjunct rank detailsAlexej Abyzov, PhD
About
Research
Publications
2026
DNA copy number patterns reveal prognostic markers and elucidate mechanisms of evolution in IDH-mutant astrocytoma
Drucker K, Panda A, Decker P, Kosel M, Kollmeyer T, Burns T, Maqbool M, Shafqat S, Suvakov M, Zadeh G, Giannini C, Vaubel R, Raghunathan A, Parney I, Kizilbash S, Ida C, Abyzov A, Lachance D, Eckel-Passow J, Jenkins R. DNA copy number patterns reveal prognostic markers and elucidate mechanisms of evolution in IDH-mutant astrocytoma. Neuro-Oncology 2026, noag019. PMID: 41761580, DOI: 10.1093/neuonc/noag019.Peer-Reviewed Original ResearchIDH-mutant astrocytomasCopy number alterationsOverall survivalHemizygous lossMolecular subgroupsRisk allelesAssociated with poor OSAssociated with OSClinical practice cohortAssociated with earlier ageLoss of PTENMayo Clinic cohortClinically significant groupLoss of CDKN2A/BChromosome arm lossCopy number patternsCDKN2A/B deletionShorter OSPoor OSPrognostic markerAdult patientsPTEN deletionAge-of-onsetTCGA patientsIndependent cohort
2025
Karyotypic Profiling of Induced Pluripotent Stem Cells Derived from a Xeroderma Pigmentosum Group C Patient
Alsalloum A, Mingaleva N, Gornostal E, Antysheva Z, Sparber P, Skoblov M, Pozhitnova V, Belysheva T, Levashova A, Kuznetsova E, Suvorova Y, Krupinova J, Bogdanov V, Abyzov A, Mityaeva O, Volchkov P. Karyotypic Profiling of Induced Pluripotent Stem Cells Derived from a Xeroderma Pigmentosum Group C Patient. Cells 2025, 14: 1985. PMID: 41440007, PMCID: PMC12732065, DOI: 10.3390/cells14241985.Peer-Reviewed Original ResearchConceptsDerivative X chromosomeX chromosomeXP-CPluripotent stem cellsWhole-genome sequencingG-banding analysisAccumulation of DNA damageXeroderma pigmentosum group CNucleotide excision repairStem cellsHomozygous nonsense mutationChromosome evolutionGenomic environmentGroup C patientsGenome integrityAutosomal recessive disorderChromosome missegregationDefective nucleotide excision repairRecurrent trisomiesCytogenetic signatureReplication stressGG-NERNonsense mutationGenomic surveillanceXPC defectSpecification of human brain regions with orthogonal gradients of WNT and SHH in organoids reveals patterning variations across cell lines
Scuderi S, Kang T, Jourdon A, Nelson A, Yang L, Wu F, Anderson G, Mariani J, Tomasini L, Sarangi V, Abyzov A, Levchenko A, Vaccarino F. Specification of human brain regions with orthogonal gradients of WNT and SHH in organoids reveals patterning variations across cell lines. Cell Stem Cell 2025, 32: 970-989.e11. PMID: 40315847, PMCID: PMC12145255, DOI: 10.1016/j.stem.2025.04.006.Peer-Reviewed Original ResearchConceptsGradient of WntGene expression programsSingle-cell transcriptomicsBrain lineagesMorphogen gradientsEpigenetic variationDorso-ventral axisShh signalingExpression programsMorphogenFetal human brainHuman iPSC linesPluripotent stem cellsCell linesNeuronal lineageNeural tubeShhWntLineagesLine-to-line variationEarly patterningPattern systemPattern variationHuman brain regionsIPSC linesAuthor Correction: Transgenerational transmission of post-zygotic mutations suggests symmetric contribution of first two blastomeres to human germline
Jang Y, Tomasini L, Bae T, Szekely A, Vaccarino F, Abyzov A. Author Correction: Transgenerational transmission of post-zygotic mutations suggests symmetric contribution of first two blastomeres to human germline. Nature Communications 2025, 16: 2352. PMID: 40064908, PMCID: PMC11894138, DOI: 10.1038/s41467-025-56705-0.Peer-Reviewed Original ResearchInterneuron Loss and Microglia Activation by Transcriptome Analyses in the Basal Ganglia of Tourette Disorder
Wang Y, Fasching L, Wu F, Suvakov M, Huttner A, Berretta S, Roberts R, Leckman J, Fernandez T, Abyzov A, Vaccarino F. Interneuron Loss and Microglia Activation by Transcriptome Analyses in the Basal Ganglia of Tourette Disorder. Biological Psychiatry 2025, 98: 260-270. PMID: 39892689, PMCID: PMC12255533, DOI: 10.1016/j.biopsych.2024.12.022.Peer-Reviewed Original ResearchActivity of cis-regulatory elementsCis-regulatory elementsMedium spiny neuronsDifferential gene expression analysisChromatin accessibility analysesCell typesDifferential gene expressionGene expression changesMitochondrial oxidative metabolismGene expression analysisSnATAC-seqOpen chromatin datasetsPutative enhancersSynaptic adhesionChromatin datasetsOxidative metabolismEpigenomic regulationTranscriptome analysisActivation of immune responsesIdentified cell typesExpression analysisSynaptic dysfunctionGene expressionExpression changesTranscriptome
2024
Transgenerational transmission of post-zygotic mutations suggests symmetric contribution of first two blastomeres to human germline
Jang Y, Tomasini L, Bae T, Szekely A, Vaccarino F, Abyzov A. Transgenerational transmission of post-zygotic mutations suggests symmetric contribution of first two blastomeres to human germline. Nature Communications 2024, 15: 9117. PMID: 39438473, PMCID: PMC11496613, DOI: 10.1038/s41467-024-53485-x.Peer-Reviewed Original ResearchSomatic mosaicism in schizophrenia brains reveals prenatal mutational processes
Maury E, Jones A, Seplyarskiy V, Nguyen T, Rosenbluh C, Bae T, Wang Y, Abyzov A, Khoshkhoo S, Chahine Y, Zhao S, Venkatesh S, Root E, Voloudakis G, Roussos P, Network B, Park P, Akbarian S, Brennand K, Reilly S, Lee E, Sunyaev S, Walsh C, Chess A. Somatic mosaicism in schizophrenia brains reveals prenatal mutational processes. Science 2024, 386: 217-224. PMID: 39388546, PMCID: PMC11490355, DOI: 10.1126/science.adq1456.Peer-Reviewed Original ResearchConceptsTranscription Factor Binding SitesWhole-genome sequencingOpen chromatinMutational processesSomatic mutationsFactor binding sitesSchizophrenia casesSchizophrenia risk genesSomatic mosaicismSomatic variantsRisk genesG mutationGene expressionGermline mutationsBinding sitesGenesMutationsIncreased somatic mutationsChromatinMosaic somatic mutationsPrenatal neurogenesisContext of schizophreniaBrain neuronsSchizophrenia brainVariantsResolving the 22q11.2 deletion using CTLR-Seq reveals chromosomal rearrangement mechanisms and individual variance in breakpoints
Zhou B, Purmann C, Guo H, Shin G, Huang Y, Pattni R, Meng Q, Greer S, Roychowdhury T, Wood R, Ho M, Dohna H, Abyzov A, Hallmayer J, Wong W, Ji H, Urban A. Resolving the 22q11.2 deletion using CTLR-Seq reveals chromosomal rearrangement mechanisms and individual variance in breakpoints. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2322834121. PMID: 39042694, PMCID: PMC11295037, DOI: 10.1073/pnas.2322834121.Peer-Reviewed Original ResearchConceptsLong-read sequencingPulse-field gel electrophoresisBase-pair resolutionDNA methylation patternsCell-type specific analysisCell type-specificChromosomal interactionsSequence assemblySegmental duplicationsGenome sequenceGenomic rearrangementsGenomic regionsChromosomal breakpointsHuman genomeGenomic recombinationMethylation patternsSequence analysisHaplotype-specificDeletion haplotypesGel electrophoresisGenomeAmplification-freeBreakpoint locationsMicrodeletion disorderType-specificGenome-wide analysis and visualization of copy number with CNVpytor in igv.js
Panda A, Suvakov M, Thorvaldsdottir H, Mesirov J, Robinson J, Abyzov A. Genome-wide analysis and visualization of copy number with CNVpytor in igv.js. Bioinformatics 2024, 40: btae453. PMID: 39018173, PMCID: PMC11303504, DOI: 10.1093/bioinformatics/btae453.Peer-Reviewed Original ResearchSingle-cell genomics and regulatory networks for 388 human brains
Emani P, Liu J, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee C, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken T, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard J, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman G, Huang A, Jiang Y, Jin T, Jorstad N, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran J, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan A, Riesenmy T, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini K, Wamsley B, Wang G, Xia Y, Xiao S, Yang A, Zheng S, Gandal M, Lee D, Lein E, Roussos P, Sestan N, Weng Z, White K, Won H, Girgenti M, Zhang J, Wang D, Geschwind D, Gerstein M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Brennand K, Capauto D, Champagne F, Chatzinakos C, Chen H, Cheng L, Chess A, Chien J, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Davila-Velderrain J, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duong D, Eagles N, Edelstein J, Galani K, Girdhar K, Goes F, Greenleaf W, Guo H, Guo Q, Hadas Y, Hallmayer J, Han X, Haroutunian V, He C, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hyde T, Iatrou A, Inoue F, Jajoo A, Jiang L, Jin P, Jops C, Jourdon A, Kellis M, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Li J, Li M, Lin X, Liu S, Liu C, Loupe J, Lu D, Ma L, Mariani J, Martinowich K, Maynard K, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Mukamel E, Nairn A, Nemeroff C, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Pinto D, Pochareddy S, Pollard K, Pollen A, Przytycki P, Purmann C, Qin Z, Qu P, Raj T, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Seyfried N, Shao Z, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Subburaju S, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Voloudakis G, Wang T, Wang S, Wang Y, Wei Y, Weimer A, Weinberger D, Wen C, Whalen S, Willsey A, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang Y, Ziffra R, Zeier Z, Zintel T. Single-cell genomics and regulatory networks for 388 human brains. Science 2024, 384: eadi5199. PMID: 38781369, PMCID: PMC11365579, DOI: 10.1126/science.adi5199.Peer-Reviewed Original ResearchConceptsSingle-cell genomicsSingle-cell expression quantitative trait locusExpression quantitative trait lociDrug targetsQuantitative trait lociPopulation-level variationSingle-cell expressionCell typesDisease-risk genesTrait lociGene familyRegulatory networksGene expressionCell-typeMultiomics datasetsSingle-nucleiGenomeGenesCellular changesHeterogeneous tissuesExpressionCellsChromatinLociMultiomics