Featured Publications
Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk
Rajarajan P, Borrman T, Liao W, Schrode N, Flaherty E, Casiño C, Powell S, Yashaswini C, LaMarca EA, Kassim B, Javidfar B, Espeso-Gil S, Li A, Won H, Geschwind DH, Ho SM, MacDonald M, Hoffman GE, Roussos P, Zhang B, Hahn CG, Weng Z, Brennand KJ, Akbarian S. Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk. Science 2018, 362 PMID: 30545851, PMCID: PMC6408958, DOI: 10.1126/science.aat4311.Peer-Reviewed Original ResearchMeSH KeywordsBrainCells, CulturedChromatinChromatin Assembly and DisassemblyChromosomes, HumanConnectomeEpigenesis, GeneticGene Expression Regulation, DevelopmentalGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHumansMaleNeural Stem CellsNeurogenesisNeurogliaNeuronsNucleic Acid ConformationProtein Interaction MapsProteomicsRiskSchizophreniaTranscription, GeneticTranscriptomeConceptsCoordinated transcriptional regulationThree-dimensional genomeSpatial genome organizationChromosomal contact mapsNeural progenitor cellsSchizophrenia risk variantsGenome organizationChromatin remodelingChromosomal conformationTranscriptional regulationProteomic interactionsDevelopmental remodelingHeritable riskGlial differentiationRisk variantsContact mapsProgenitor cellsVariant sequencesGenesConformation changeNeuronal connectivitySchizophrenia riskSequenceNeuropsychiatric diseasesDistal targets
2019
Differential transcriptional response following glucocorticoid activation in cultured blood immune cells: a novel approach to PTSD biomarker development
Breen MS, Bierer LM, Daskalakis NP, Bader HN, Makotkine I, Chattopadhyay M, Xu C, Buxbaum Grice A, Tocheva AS, Flory JD, Buxbaum JD, Meaney MJ, Brennand K, Yehuda R. Differential transcriptional response following glucocorticoid activation in cultured blood immune cells: a novel approach to PTSD biomarker development. Translational Psychiatry 2019, 9: 201. PMID: 31434874, PMCID: PMC6704073, DOI: 10.1038/s41398-019-0539-x.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersConstitutive Androstane ReceptorDexamethasoneDose-Response Relationship, DrugGene ExpressionGene Expression ProfilingGene Regulatory NetworksGlucocorticoidsHumansLeukocytes, MononuclearMaleMiddle AgedStress Disorders, Post-TraumaticTranscription, GeneticVeteransYoung AdultConceptsPeripheral blood mononuclear cellsPost-traumatic stress disorderGlucocorticoid signalingCultured peripheral blood mononuclear cellsBlood immune cellsBlood mononuclear cellsTranscriptional responseConcentrations of dexamethasoneDifferential transcriptional changesGenome-wide gene expression profilingCombat-exposed veteransStress-responsive pathwaysMolecular responseClinical manifestationsInflammatory cytokinesDynamic transcriptional responseMononuclear cellsApoptosis-related pathwaysImmune cellsBaseline differencesDifferential transcriptional responsesDifferential molecular responsesGlucocorticoid stimulationNovel markerReliable marker
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 pathwaysActivity-Dependent Changes in Gene Expression in Schizophrenia Human-Induced Pluripotent Stem Cell Neurons
Roussos P, Guennewig B, Kaczorowski D, Barry G, Brennand K. Activity-Dependent Changes in Gene Expression in Schizophrenia Human-Induced Pluripotent Stem Cell Neurons. JAMA Psychiatry 2016, 73: 1180-1188. PMID: 27732689, PMCID: PMC5437975, DOI: 10.1001/jamapsychiatry.2016.2575.Peer-Reviewed Original ResearchConceptsGene coexpression analysisActivity-dependent changesGene expressionCandidate genesCoexpression analysisSchizophrenia candidate genesSpecific molecular functionsGenome-wide profilingPluripotent stem cell-derived neuronsGene expression differencesSchizophrenia-associated variantsStem cell-derived neuronsDifferential expression analysisNeuronal activity-dependent changesHuman-induced pluripotent stem cell-derived neuronsCell-derived neuronsHuman-induced pluripotent stem cellsPluripotent stem cell neuronsPluripotent stem cellsCommon molecular pathwaysSchizophrenia risk genesMolecular functionsGene networksEtiopathogenesis of schizophreniaExpression analysis