Featured Publications
Modeling gene × environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression
Seah C, Breen M, Rusielewicz T, Bader H, Xu C, Hunter C, McCarthy B, Deans P, Chattopadhyay M, Goldberg J, Desarnaud F, Makotkine I, Flory J, Bierer L, Staniskyte M, Noggle S, Huckins L, Paull D, Brennand K, Yehuda R. Modeling gene × environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression. Nature Neuroscience 2022, 25: 1434-1445. PMID: 36266471, PMCID: PMC9630117, DOI: 10.1038/s41593-022-01161-y.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderPeripheral blood mononuclear cellsGlucocorticoid-induced changesGlucocorticoid-induced gene expressionBlood mononuclear cellsIndividual clinical outcomesEnvironmental risk factorsHuman postmortem brainGlucocorticoid hypersensitivityClinical outcomesGlutamatergic neuronsMononuclear cellsRisk factorsHydrocortisone exposureSevere traumaPostmortem brainsHuman neuronsGlucocorticoid responseInduced neuronsStress disorderNeuronsNew therapeuticsGene expressionGene × environment interactionsCombat veterans
2024
Single-cell multi-cohort dissection of the schizophrenia transcriptome
Ruzicka W, Mohammadi S, Fullard J, Davila-Velderrain J, Subburaju S, Tso D, Hourihan M, Jiang S, Lee H, Bendl J, Voloudakis G, Haroutunian V, Hoffman G, Roussos P, Kellis M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Bicks L, Brennand K, Capauto D, Champagne F, Chatterjee T, Chatzinakos C, Chen Y, Chen H, Cheng Y, Cheng L, Chess A, Chien J, Chu Z, Clarke D, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duan Z, Duong D, Dursun C, Eagles N, Edelstein J, Emani P, Galani K, Galeev T, Gandal M, Gaynor S, Gerstein M, Geschwind D, Girdhar K, Goes F, Greenleaf W, Grundman J, Guo H, Guo Q, Gupta C, Hadas Y, Hallmayer J, Han X, Hawken N, He C, Henry E, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hwang A, Hyde T, Iatrou A, Inoue F, Jajoo A, Jensen M, Jiang L, Jin P, Jin T, Jops C, Jourdon A, Kawaguchi R, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Lee C, Lee D, Li J, Li M, Lin X, Liu S, Liu J, Liu J, Liu C, Liu S, Lou S, Loupe J, Lu D, Ma S, Ma L, Margolis M, Mariani J, Martinowich K, Maynard K, Mazariegos S, Meng R, Myers R, Micallef C, Mikhailova T, Ming G, Monte E, Montgomery K, Moore J, Moran J, Mukamel E, Nairn A, Nemeroff C, Ni P, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Phalke N, Pinto D, Pjanic M, Pochareddy S, Pollard K, Pollen A, Pratt H, Przytycki P, Purmann C, Qin Z, Qu P, Quintero D, Raj T, Rajagopalan A, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Sanders S, Schneider J, Scuderi S, Sebra R, Sestan N, Seyfried N, Shao Z, Shedd N, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Wamsley B, Wang T, Wang S, Wang D, Wang Y, Warrell J, Wei Y, Weimer A, Weinberger D, Wen C, Weng Z, Whalen S, White K, Willsey A, Won H, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Xu S, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang J, Zhang Y, Zhou X, Ziffra R, Zeier Z, Zintel T. Single-cell multi-cohort dissection of the schizophrenia transcriptome. Science 2024, 384: eadg5136. PMID: 38781388, DOI: 10.1126/science.adg5136.Peer-Reviewed Original ResearchConceptsGenetic risk factorsRisk factorsTranscriptional changesHeterogeneity of schizophreniaNeuronal cell statesSchizophrenia pathophysiologySingle-cell dissectionExcitatory neuronsEffective therapySchizophrenia transcriptomicsCortical cytoarchitectureSingle-cell atlasGenomic variantsCell groupsHuman prefrontal cortexMolecular pathwaysSchizophreniaTranscriptional alterationsTranscriptomic changesPrefrontal cortexCell statesAlterationsTherapyPathophysiologyDissectionDissecting the biology of feeding and eating disorders
Huckins L, Brennand K, Bulik C. Dissecting the biology of feeding and eating disorders. Trends In Molecular Medicine 2024, 30: 380-391. PMID: 38431502, DOI: 10.1016/j.molmed.2024.01.009.Peer-Reviewed Original ResearchGenome-wide association studiesVariants to genesGenes to pathwaysSignificant lociFunctional genomicsAssociation studiesGenetic relationshipsIntestinal microbiotaGenetic researchGenomeGenetic correlationsGenesMetabolic contributorsAnorexia nervosaEating disordersPathwayBiologyMetabolic outcomesRisk factorsLociMicrobiotaPhenomicsLethal illnessTraitsFeeding
2023
Experimental Model Systems for Rare and Common Variants
Brennand K, Kushner S. Experimental Model Systems for Rare and Common Variants. 2023, 117-128. DOI: 10.7551/mitpress/15380.003.0012.Peer-Reviewed Original ResearchCommon Alleles: Next Steps in the Study of Common Variants
Won H, Wray N, Binder E, Brennand K, Franke B, Gandal M, Stevens B, Südhof T, Ziller M. Common Alleles: Next Steps in the Study of Common Variants. 2023, 131-154. DOI: 10.7551/mitpress/15380.003.0014.Peer-Reviewed Original Research
2017
THC Treatment Alters Glutamate Receptor Gene Expression in Human Stem Cell-Derived Neurons
Obiorah I, Muhammad H, Stafford K, Flaherty E, Brennand K. THC Treatment Alters Glutamate Receptor Gene Expression in Human Stem Cell-Derived Neurons. Complex Psychiatry 2017, 3: 73-84. PMID: 29230395, PMCID: PMC5701275, DOI: 10.1159/000477762.Peer-Reviewed Original ResearchTHC exposureHuman-induced pluripotent stem cellsGlutamate receptor gene expressionHuman stem cell-derived neuronsHiPSC-derived neuronsStem cell-derived neuronsΔ9-tetrahydrocannabinol exposureGlutamate receptor subunit genesCell-derived neuronsGenetic risk factorsReceptor gene expressionRisk factorsExcitatory neuronsHuman neuronsReceptor subunit genesBehavioral effectsNeuronsDisease vulnerabilityStem cellsPluripotent stem cellsExposureVariety of genotypesGene expressionExpressionSubunit gene