2023
56. USING HIPSC-NEURONS AND CRISPR TO UNCOVER NON-ADDITIVE EFFECTS OF SCZ RISK GENES
Deans M, Seah C, Johnson J, García-González J, Townsley K, Cao E, Schrode N, Stahl E, O'Reilly P, Huckins L, Brennand K. 56. USING HIPSC-NEURONS AND CRISPR TO UNCOVER NON-ADDITIVE EFFECTS OF SCZ RISK GENES. European Neuropsychopharmacology 2023, 75: s86. DOI: 10.1016/j.euroneuro.2023.08.162.Peer-Reviewed Original ResearchSCZ risk genesNon-additive effectsRisk genesCombinatorial perturbationsTranscriptomic effectsFunctional roleRisk variantsGene expression changesBulk RNA-seqMultiple functional rolesSynaptic functionHigh-throughput imagingFunctional redundancyTranscriptional regulatorsRNA-seqCRISPR activationCellular phenotypesRNA interferenceEGenesGene expressionExpression changesHiPSC neuronsPolygenic risk scoresGenetic studiesGenesTranscriptional signatures of heroin intake and relapse throughout the brain reward circuitry in male mice
Browne C, Futamura R, Minier-Toribio A, Hicks E, Ramakrishnan A, Martínez-Rivera F, Estill M, Godino A, Parise E, Torres-Berrío A, Cunningham A, Hamilton P, Walker D, Huckins L, Hurd Y, Shen L, Nestler E. Transcriptional signatures of heroin intake and relapse throughout the brain reward circuitry in male mice. Science Advances 2023, 9: eadg8558. PMID: 37294757, PMCID: PMC10256172, DOI: 10.1126/sciadv.adg8558.Peer-Reviewed Original ResearchConceptsOpioid use disorderHeroin intakeContext-induced drug-seekingBrain reward circuitryHeroin self-administrationRNA-seqDrug seekingReward circuitryGenome-wide association study dataSelf-administrationHeroin exposureDrug-takingIntegration of RNA-seq dataUse disorderPatterns of transcriptional regulationRNA-seq dataBehavioral outcomesMale miceMolecular changesTranscriptional regulationRegion-specificGene candidatesRNA sequencingHeroinBioinformatics analysis
2017
Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders
Nguyen H, Bryois J, Kim A, Dobbyn A, Huckins L, Munoz-Manchado A, Ruderfer D, Genovese G, Fromer M, Xu X, Pinto D, Linnarsson S, Verhage M, Smit A, Hjerling-Leffler J, Buxbaum J, Hultman C, Sklar P, Purcell S, Lage K, He X, Sullivan P, Stahl E. Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders. Genome Medicine 2017, 9: 114. PMID: 29262854, PMCID: PMC5738153, DOI: 10.1186/s13073-017-0497-y.Peer-Reviewed Original ResearchConceptsProtein-protein interactionsDD risk genesRisk genesRisk-geneGene set enrichment resultsProtein-protein interaction subnetworksStudy of rare variationWhole-exome sequencing dataNeurodevelopmental disorder genesPost-transcriptional gene regulationExome sequencing dataSets of genesRare exonic variantsGene set enrichmentRare variationNeurodevelopmental disordersAutism spectrum disorderGene subnetworksGenetic architectureSequence dataRNA-seqTrio familiesGene regulationExonic variantsPathway enrichment