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dc.contributor.authorEmani, Prashant S
dc.contributor.authorLiu, Jason J
dc.contributor.authorClarke, Declan
dc.contributor.authorJensen, Matthew
dc.contributor.authorWarrell, Jonathan
dc.contributor.authorGupta, Chirag
dc.contributor.authorMeng, Ran
dc.contributor.authorLee, Che Yu
dc.contributor.authorXu, Siwei
dc.contributor.authorDursun, Cagatay
dc.contributor.authorLou, Shaoke
dc.contributor.authorChen, Yuhang
dc.contributor.authorChu, Zhiyuan
dc.contributor.authorGaleev, Timur
dc.contributor.authorHwang, Ahyeon
dc.contributor.authorLi, Yunyang
dc.contributor.authorNi, Pengyu
dc.contributor.authorZhou, Xiao
dc.contributor.authorBakken, Trygve E
dc.contributor.authorBendl, Jaroslav
dc.contributor.authorBicks, Lucy
dc.contributor.authorChatterjee, Tanima
dc.contributor.authorCheng, Lijun
dc.contributor.authorCheng, Yuyan
dc.contributor.authorDai, Yi
dc.contributor.authorDuan, Ziheng
dc.contributor.authorFlaherty, Mary
dc.contributor.authorFullard, John F
dc.contributor.authorGancz, Michael
dc.contributor.authorGarrido-Martín, Diego
dc.contributor.authorGaynor-Gillett, Sophia
dc.contributor.authorGrundman, Jennifer
dc.contributor.authorHawken, Natalie
dc.contributor.authorHenry, Ella
dc.contributor.authorHoffman, Gabriel E
dc.contributor.authorHuang, Ao
dc.contributor.authorJiang, Yunzhe
dc.contributor.authorJin, Ting
dc.contributor.authorJorstad, Nikolas L
dc.contributor.authorKawaguchi, Riki
dc.contributor.authorKhullar, Saniya
dc.contributor.authorLiu, Jianyin
dc.contributor.authorLiu, Junhao
dc.contributor.authorLiu, Shuang
dc.contributor.authorMa, Shaojie
dc.contributor.authorMargolis, Michael
dc.contributor.authorMazariegos, Samantha
dc.contributor.authorMoore, Jill E
dc.contributor.authorMoran, Jennifer R
dc.contributor.authorNguyen, Eric
dc.contributor.authorPhalke, Nishigandha
dc.contributor.authorPjanic, Milos
dc.contributor.authorPratt, Henry E
dc.contributor.authorQuintero, Diana
dc.contributor.authorRajagopalan, Ananya S
dc.contributor.authorRiesenmy, Tiernon R
dc.contributor.authorShedd, Nicole
dc.contributor.authorShi, Manman
dc.contributor.authorSpector, Megan
dc.contributor.authorTerwilliger, Rosemarie
dc.contributor.authorTravaglini, Kyle J
dc.contributor.authorWamsley, Brie
dc.contributor.authorWang, Gaoyuan
dc.contributor.authorXia, Yan
dc.contributor.authorXiao, Shaohua
dc.contributor.authorYang, Andrew C
dc.contributor.authorZheng, Suchen
dc.contributor.authorGandal, Michael J
dc.contributor.authorLee, Donghoon
dc.contributor.authorLein, Ed S
dc.contributor.authorRoussos, Panos
dc.contributor.authorSestan, Nenad
dc.contributor.authorWeng, Zhiping
dc.contributor.authorWhite, Kevin P
dc.contributor.authorWon, Hyejung
dc.contributor.authorGirgenti, Matthew J
dc.contributor.authorZhang, Jing
dc.contributor.authorWang, Daifeng
dc.contributor.authorGeschwind, Daniel
dc.contributor.authorGerstein, Mark
dc.date.accessioned2024-07-02T17:24:42Z
dc.date.available2024-07-02T17:24:42Z
dc.date.issued2024-05-24
dc.identifier.citationEmani PS, Liu JJ, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee CY, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X; PsychENCODE Consortium‡; Bakken TE, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard JF, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman GE, Huang A, Jiang Y, Jin T, Jorstad NL, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran JR, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan AS, Riesenmy TR, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini KJ, Wamsley B, Wang G, Xia Y, Xiao S, Yang AC, Zheng S, Gandal MJ, Lee D, Lein ES, Roussos P, Sestan N, Weng Z, White KP, Won H, Girgenti MJ, Zhang J, Wang D, Geschwind D, Gerstein M; PsychENCODE Consortium. Single-cell genomics and regulatory networks for 388 human brains. Science. 2024 May 24;384(6698):eadi5199. doi: 10.1126/science.adi5199. Epub 2024 May 24. PMID: 38781369.en_US
dc.identifier.eissn1095-9203
dc.identifier.doi10.1126/science.adi5199en_US
dc.identifier.pmid38781369
dc.identifier.urihttp://hdl.handle.net/20.500.14038/53551
dc.description.abstractSingle-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multiomics datasets into a resource comprising >2.8 million nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550,000 cell type-specific regulatory elements and >1.4 million single-cell expression quantitative trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.en_US
dc.language.isoen
dc.relationThis article is based on a previously available preprint in bioRxiv, https://doi.org/10.1101/2024.03.18.585576.en_US
dc.relation.ispartofScienceen_US
dc.relation.urlhttps://doi.org/10.1126/science.adi5199en_US
dc.titleSingle-cell genomics and regulatory networks for 388 human brainsen_US
dc.typeJournal Articleen_US
dc.source.journaltitleScience (New York, N.Y.)
dc.source.volume384
dc.source.issue6698
dc.source.beginpageeadi5199
dc.source.endpage
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.identifier.journalScience (New York, N.Y.)
dc.contributor.departmentGenomics and Computational Biologyen_US
dc.contributor.departmentMorningside Graduate School of Biomedical Sciencesen_US
dc.contributor.studentNicole Shedd


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