2024
Single-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
2023
The functional and evolutionary impacts of human-specific deletions in conserved elements
Xue J, Mackay-Smith A, Mouri K, Garcia M, Dong M, Akers J, Noble M, Li X, Lindblad-Toh K, Karlsson E, Noonan J, Capellini T, Brennand K, Tewhey R, Sabeti P, Reilly S, Andrews G, Armstrong J, Bianchi M, Birren B, Bredemeyer K, Breit A, Christmas M, Clawson H, Damas J, Di Palma F, Diekhans M, Dong M, Eizirik E, Fan K, Fanter C, Foley N, Forsberg-Nilsson K, Garcia C, Gatesy J, Gazal S, Genereux D, Goodman L, Grimshaw J, Halsey M, Harris A, Hickey G, Hiller M, Hindle A, Hubley R, Hughes G, Johnson J, Juan D, Kaplow I, Karlsson E, Keough K, Kirilenko B, Koepfli K, Korstian J, Kowalczyk A, Kozyrev S, Lawler A, Lawless C, Lehmann T, Levesque D, Lewin H, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu V, Marques-Bonet T, Mason V, Meadows J, Meyer W, Moore J, Moreira L, Moreno-Santillan D, Morrill K, Muntané G, Murphy W, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat N, Pfenning A, Phan B, Pollard K, Pratt H, Ray D, Reilly S, Rosen J, Ruf I, Ryan L, Ryder O, Sabeti P, Schäffer D, Serres A, Shapiro B, Smit A, Springer M, Srinivasan C, Steiner C, Storer J, Sullivan K, Sullivan P, Sundström E, Supple M, Swofford R, Talbot J, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder A, Wirthlin M, Xue J, Zhang X. The functional and evolutionary impacts of human-specific deletions in conserved elements. Science 2023, 380: eabn2253. PMID: 37104592, PMCID: PMC10202372, DOI: 10.1126/science.abn2253.Peer-Reviewed Original ResearchConceptsHuman-specific deletionHuman phenotypic traitsParallel reporterEvolutionary impactDevelopmental genesPhenotypic traitsEvolutionary mechanismsGenomic sequencesNew traitsTranscriptomic datasetsSequence altersRegulatory functionsCell typesRegulatory activityRich resourceDeletionSynaptic functionTraitsBrain developmentGenesSpeciesReporterHumansSequenceExpression
2022
Using Stem Cell Models to Explore the Genetics Underlying Psychiatric Disorders: Linking Risk Variants, Genes, and Biology in Brain Disease
Brennand K. Using Stem Cell Models to Explore the Genetics Underlying Psychiatric Disorders: Linking Risk Variants, Genes, and Biology in Brain Disease. American Journal Of Psychiatry 2022, 179: 322-328. PMID: 35491564, DOI: 10.1176/appi.ajp.20220235.Commentaries, Editorials and LettersConceptsRisk variantsFunctional genomic studiesCell typesDiverse cell typesPatient-specific variantsStem cell modelGenomic studiesSignificant lociStem cell-based approachesGenetic studiesExciting questionsCell-based approachesEngineering strategiesGenetic profileNovel therapeutic interventionsCell modelPluripotent stem cell-based approachesVariantsComplex interplayGenetic riskCRISPRGenesLociBiologyTherapeutic interventions
2020
A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles
Sey NYA, Hu B, Mah W, Fauni H, McAfee JC, Rajarajan P, Brennand KJ, Akbarian S, Won H. A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles. Nature Neuroscience 2020, 23: 583-593. PMID: 32152537, PMCID: PMC7131892, DOI: 10.1038/s41593-020-0603-0.Peer-Reviewed Original ResearchConceptsChromatin interaction profilesH-MAGMARisk genesMost risk variantsGenome-wide association studiesCell typesGene regulatory relationshipsRelevant target genesCell-type specificitySingle nucleotide polymorphism associationsBrain cell typesDisease-relevant tissuesInteraction profilesGenomic annotationsNearest geneTarget genesRegulatory relationshipsAssociation studiesBiological pathwaysGenesRisk variantsDevelopmental windowBiological mechanismsNeurodegenerative disordersHuman brain tissue
2019
Spatial genome exploration in the context of cognitive and neurological disease
Rajarajan P, Borrman T, Liao W, Espeso-Gil S, Chandrasekaran S, Jiang Y, Weng Z, Brennand KJ, Akbarian S. Spatial genome exploration in the context of cognitive and neurological disease. Current Opinion In Neurobiology 2019, 59: 112-119. PMID: 31255842, PMCID: PMC6889018, DOI: 10.1016/j.conb.2019.05.007.Peer-Reviewed Original ResearchConceptsGenome explorationSpecific gene expression programsImportant regulatory layerTopological chromatin domainsGene expression programsChromosomal contact mapsChromatin domainsGenome organizationExpression programsRegulatory layerTranscriptional regulationChromosomal contactsWidespread remodelingTranscriptomic analysisRepeat sequencesUnexpected linkNeuronal lineageNeural differentiationNon-contiguous sequencesContact mapsAbnormal expansionNeurodegenerative diseasesNew insightsSequenceMouse brain
2017
Common developmental genome deprogramming in schizophrenia — Role of Integrative Nuclear FGFR1 Signaling (INFS)
Narla S, Lee Y, Benson C, Sarder P, Brennand K, Stachowiak E, Stachowiak M. Common developmental genome deprogramming in schizophrenia — Role of Integrative Nuclear FGFR1 Signaling (INFS). Schizophrenia Research 2017, 185: 17-32. PMID: 28094170, PMCID: PMC5507209, DOI: 10.1016/j.schres.2016.12.012.Peer-Reviewed Original ResearchMeSH KeywordsAdultCell DifferentiationCells, CulturedFemaleGene Expression Regulation, DevelopmentalGene Regulatory NetworksGenomeGenomicsHumansInduced Pluripotent Stem CellsMaleMicroRNAsModels, BiologicalMutationReceptor, Fibroblast Growth Factor, Type 1Receptor, Notch1SchizophreniaSignal TransductionTranscriptomeYoung AdultConceptsMRNA networkMajor developmental pathwaysIntegrative nuclear FGFR1MiRNA-mRNA networkHuman gene promotersCommon developmental genomesMiRNA genesMiRNA transcriptomeGene networksUpregulated genesGene promoterNuclear FGFR1Genomic etiologyGene dysregulationDisease ontogenyNuclear formGlobal dysregulationDevelopmental pathwaysGenesNeuron formationDistinct pathwaysConcerted actionPotential therapeutic targetTranscriptomeGenome