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. 2024 May 24;384(6698):eadi5199.
doi: 10.1126/science.adi5199. Epub 2024 May 24.

Single-cell genomics and regulatory networks for 388 human brains

Prashant S Emani #  1   2 Jason J Liu #  1   2 Declan Clarke #  1   2 Matthew Jensen #  1   2 Jonathan Warrell #  1   2 Chirag Gupta #  3   4 Ran Meng #  1   2 Che Yu Lee #  5 Siwei Xu #  5 Cagatay Dursun #  1   2 Shaoke Lou #  1   2 Yuhang Chen  1   2 Zhiyuan Chu  1 Timur Galeev  1   2 Ahyeon Hwang  5   6 Yunyang Li  2   7 Pengyu Ni  1   2 Xiao Zhou  1   2 PsychENCODE Consortium‡Trygve E Bakken  8 Jaroslav Bendl  9   10   11   12 Lucy Bicks  13 Tanima Chatterjee  1   2 Lijun Cheng  14 Yuyan Cheng  13   15 Yi Dai  5 Ziheng Duan  5 Mary Flaherty  14 John F Fullard  9   10   11   12 Michael Gancz  1   2 Diego Garrido-Martín  16 Sophia Gaynor-Gillett  14   17 Jennifer Grundman  13 Natalie Hawken  13 Ella Henry  1   2 Gabriel E Hoffman  9   10   11   12   18   19 Ao Huang  1 Yunzhe Jiang  1   2 Ting Jin  3   4 Nikolas L Jorstad  8 Riki Kawaguchi  13   20 Saniya Khullar  3   4 Jianyin Liu  13 Junhao Liu  5 Shuang Liu  4 Shaojie Ma  21   22 Michael MargolisSamantha Mazariegos  13 Jill Moore  23 Jennifer R Moran  14 Eric Nguyen  1   2 Nishigandha Phalke  23 Milos Pjanic  9   10   11   12 Henry Pratt  23 Diana Quintero  13 Ananya S Rajagopalan  7 Tiernon R Riesenmy  24 Nicole Shedd  23 Manman Shi  14 Megan Spector  14 Rosemarie Terwilliger  25 Kyle J Travaglini  8 Brie Wamsley  13 Gaoyuan Wang  1   2 Yan Xia  1   2 Shaohua Xiao  13 Andrew C Yang  1   2 Suchen Zheng  1   2 Michael J Gandal  26   27   28   29   30 Donghoon Lee  9   10   11   12 Ed S Lein  8   31   32 Panos Roussos  9   10   11   12   18   19 Nenad Sestan  21 Zhiping Weng  23 Kevin P White  33 Hyejung Won  34 Matthew J Girgenti  25   35   36 Jing Zhang  5 Daifeng Wang  3   4   37 Daniel Geschwind  13   20   27   28   38 Mark Gerstein  1   2   7   24   39 PsychENCODE Consortium
Collaborators, Affiliations

Single-cell genomics and regulatory networks for 388 human brains

Prashant S Emani et al. Science. .

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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  • Single-cell genomics and regulatory networks for 388 human brains.
    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. Emani PS, et al. bioRxiv [Preprint]. 2024 Mar 30:2024.03.18.585576. doi: 10.1101/2024.03.18.585576. bioRxiv. 2024. Update in: Science. 2024 May 24;384(6698):eadi5199. doi: 10.1126/science.adi5199. PMID: 38562822 Free PMC article. Updated. Preprint.

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