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Single-cell genomics and regulatory networks for 388 human brains

Emani, Prashant S
Liu, Jason J
Clarke, Declan
Jensen, Matthew
Warrell, Jonathan
Gupta, Chirag
Meng, Ran
Lee, Che Yu
Xu, Siwei
Dursun, Cagatay
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Student Authors
Nicole Shedd
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Document Type
Journal Article
Publication Date
2024-05-24
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Abstract

Single-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.

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Emani 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.

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DOI
10.1126/science.adi5199
PubMed ID
38781369
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This article is based on a previously available preprint in bioRxiv, https://doi.org/10.1101/2024.03.18.585576.

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