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 studiesGenes
2022
Reduced LYNX1 expression in transcriptome of human iPSC-derived neural progenitors modeling fragile X syndrome
Talvio K, Minkeviciene R, Townsley K, Achuta V, Huckins L, Corcoran P, Brennand K, Castrén M. Reduced LYNX1 expression in transcriptome of human iPSC-derived neural progenitors modeling fragile X syndrome. Frontiers In Cell And Developmental Biology 2022, 10: 1034679. PMID: 36506088, PMCID: PMC9731341, DOI: 10.3389/fcell.2022.1034679.Peer-Reviewed Original ResearchInduced pluripotent stem cellsFragile X syndromeHuman induced pluripotent stem cellsNeural progenitorsX syndromeEarly gene expression changesGene expression changesPatient-derived induced pluripotent stem cellsTriplet repeat instabilityFunctional enrichment analysisHuman neural progenitorsPluripotent stem cellsRNA splicingPhenotypic variationIntellectual disability syndromeEnrichment analysisExpression changesRepeat instabilityMolecular mechanismsProtein resultsGrowth factor pathwaysInsulin-like growth factor (IGF) pathwayAltered expressionStem cellsTranscriptome
2016
Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease
Wang M, Roussos P, McKenzie A, Zhou X, Kajiwara Y, Brennand K, De Luca G, Crary J, Casaccia P, Buxbaum J, Ehrlich M, Gandy S, Goate A, Katsel P, Schadt E, Haroutunian V, Zhang B. Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease. Genome Medicine 2016, 8: 104. PMID: 27799057, PMCID: PMC5088659, DOI: 10.1186/s13073-016-0355-3.Peer-Reviewed Original ResearchConceptsGene expression changesCell type-specific marker genesExpression changesSingle-cell RNA-sequencing dataCo-expressed gene modulesLarge-scale gene expressionTranscriptomic network analysisCo-expression networkRNA-sequencing dataIntegrative network analysisNervous system developmentSelective regional vulnerabilityCritical molecular pathwaysActin cytoskeletonGenomic studiesGene modulesGenomic analysisGene expression abnormalitiesMarker genesMolecular basisGene expressionNetwork analysisMolecular mechanismsAxon guidanceMolecular pathways
2011
Concise Review: The Promise of Human Induced Pluripotent Stem Cell‐Based Studies of Schizophrenia
Brennand K, Gage F. Concise Review: The Promise of Human Induced Pluripotent Stem Cell‐Based Studies of Schizophrenia. Stem Cells 2011, 29: 1915-1922. PMID: 22009633, PMCID: PMC3381343, DOI: 10.1002/stem.762.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGenome-wide association studiesHuman induced pluripotent stem cellsHiPSC neuronsMolecular mechanismsStem cell-based studiesGene expression changesLive human neuronsInduced pluripotent stem cellsPluripotent stem cellsCommon single nucleotide polymorphismsRare copy number variantsCell-based studiesCopy number variantsSingle nucleotide polymorphismsExpression changesAssociation studiesCellular defectsHuman diseasesPost-mortem humanHeritable developmental disorderNumber variantsNucleotide polymorphismsHuman neuronsStem cellsGenes