Single-cell spatial transcriptomic and translatomic profiling of dopaminergic neurons in health, aging, and disease

被引:5
作者
Kilfeather, Peter [1 ,2 ,3 ,4 ]
Khoo, Jia Hui [5 ]
Wagner, Katherina [1 ,2 ]
Liang, Han [5 ]
Caiazza, Maria Claudia [1 ,2 ,3 ,4 ]
An, Yanru [5 ]
Zhang, Xingju [5 ]
Chen, Xiaoyan [5 ]
Connor-Robson, Natalie [1 ,2 ]
Shang, Zhouchun [5 ]
Wade-Martins, Richard [1 ,2 ,3 ,4 ]
机构
[1] Univ Oxford, Oxford Parkinsons Dis Ctr, Dorothy Crowfoot Hodgkin Bldg,South Parks Rd, Oxford OX1 3QX, England
[2] Univ Oxford, Dept Physiol Anat & Genet, Dorothy Crowfoot Hodgkin Bldg,South Parks Rd, Oxford OX1 3QU, England
[3] Univ Oxford, Kavli Inst Nanosci Discovery, Dorothy Crowfoot Hodgkin Bldg, South Parks Rd, Oxford OX1 3QU, England
[4] Aligning Sci Parkinsons ASAP Collaborat Res Networ, Chevy Chase, MD 20815 USA
[5] BGI Res, LV-49276 Riga, Latvia
来源
CELL REPORTS | 2024年 / 43卷 / 03期
基金
英国惠康基金; 英国医学研究理事会;
关键词
GENOME-WIDE EXPRESSION; PARKINSONS-DISEASE; MOLECULAR DIVERSITY; GENE-EXPRESSION; RNA-SEQ; MOUSE; IDENTIFICATION; CLASSIFICATION; ENRICHMENT; REGION;
D O I
10.1016/j.celrep.2024.113784
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The brain is spatially organized and contains unique cell types, each performing diverse functions and exhibiting differential susceptibility to neurodegeneration. This is exemplified in Parkinson's disease with the preferential loss of dopaminergic neurons of the substantia nigra pars compacta. Using a Parkinson's transgenic model, we conducted a single -cell spatial transcriptomic and dopaminergic neuron translatomic analysis of young and old mouse brains. Through the high resolving capacity of single -cell spatial transcriptomics, we provide a deep characterization of the expression features of dopaminergic neurons and 27 other cell types within their spatial context, identifying markers of healthy and aging cells, spanning Parkinson's relevant pathways. We integrate gene enrichment and genome-wide association study data to prioritize putative causative genes for disease investigation, identifying CASR as a regulator of dopaminergic calcium handling. These datasets represent the largest public resource for the investigation of spatial gene expression in brain cells in health, aging, and disease.
引用
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页数:20
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共 87 条
  • [81] SciPy 1.0: fundamental algorithms for scientific computing in Python']Python
    Virtanen, Pauli
    Gommers, Ralf
    Oliphant, Travis E.
    Haberland, Matt
    Reddy, Tyler
    Cournapeau, David
    Burovski, Evgeni
    Peterson, Pearu
    Weckesser, Warren
    Bright, Jonathan
    van der Walt, Stefan J.
    Brett, Matthew
    Wilson, Joshua
    Millman, K. Jarrod
    Mayorov, Nikolay
    Nelson, Andrew R. J.
    Jones, Eric
    Kern, Robert
    Larson, Eric
    Carey, C. J.
    Polat, Ilhan
    Feng, Yu
    Moore, Eric W.
    VanderPlas, Jake
    Laxalde, Denis
    Perktold, Josef
    Cimrman, Robert
    Henriksen, Ian
    Quintero, E. A.
    Harris, Charles R.
    Archibald, Anne M.
    Ribeiro, Antonio H.
    Pedregosa, Fabian
    van Mulbregt, Paul
    [J]. NATURE METHODS, 2020, 17 (03) : 261 - 272
  • [82] Gene expression in oligodendrocytes during remyelination reveals cholesterol homeostasis as a therapeutic target in multiple sclerosis
    Voskuhl, Rhonda R.
    Itoh, Noriko
    Tassoni, Alessia
    Matsukawa, Macy Akiyo
    Ren, Emily
    Tse, Vincent
    Jang, Ellis
    Suen, Timothy Takazo
    Itoh, Yuichiro
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (20) : 10130 - 10139
  • [83] Mitochondrial dysfunction and mitophagy defects in LRRK2-R1441C Parkinson's disease models
    Williamson, Matthew G.
    Madureira, Marta
    McGuinness, William
    Heon-Roberts, Rachel
    Mock, Elliot D.
    Naidoo, Kalina
    Cramb, Kaitlyn M. L.
    Caiazza, Maria-Claudia
    Malpartida, Ana B.
    Lavelle, Martha
    Savory, Katrina
    Humble, Stewart W.
    Patterson, Ryan
    Davis, John B.
    Connor-Robson, Natalie
    Ryan, Brent J.
    Wade-Martins, Richard
    [J]. HUMAN MOLECULAR GENETICS, 2023, 32 (18) : 2808 - 2821
  • [84] SCANPY: large-scale single-cell gene expression data analysis
    Wolf, F. Alexander
    Angerer, Philipp
    Theis, Fabian J.
    [J]. GENOME BIOLOGY, 2018, 19
  • [85] Single-cell transcriptomic profiling of the aging mouse brain
    Ximerakis, Methodios
    Lipnick, Scott L.
    Innes, Brendan T.
    Simmons, Sean K.
    Adiconis, Xian
    Dionne, Danielle
    Mayweather, Brittany A.
    Nguyen, Lan
    Niziolek, Zachary
    Ozek, Ceren
    Butty, Vincent L.
    Isserlin, Ruth
    Buchanan, Sean M.
    Levine, Stuart S.
    Regev, Aviv
    Bader, Gary D.
    Levin, Joshua Z.
    Rubin, Lee L.
    [J]. NATURE NEUROSCIENCE, 2019, 22 (10) : 1696 - +
  • [86] Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
    Zeisel, Amit
    Munoz-Manchado, Ana B.
    Codeluppi, Simone
    Lonnerberg, Peter
    La Manno, Gioele
    Jureus, Anna
    Marques, Sueli
    Munguba, Hermany
    He, Liqun
    Betsholtz, Christer
    Rolny, Charlotte
    Castelo-Branco, Goncalo
    Hjerling-Leffler, Jens
    Linnarsson, Sten
    [J]. SCIENCE, 2015, 347 (6226) : 1138 - 1142
  • [87] Interrogating translational efficiency and lineage-specific transcriptomes using ribosome affinity purification
    Zhou, Pingzhu
    Zhang, Yijing
    Ma, Qing
    Gu, Fei
    Day, Daniel S.
    He, Aibin
    Zhou, Bin
    Li, Jing
    Stevens, Sean M.
    Romo, Daniel
    Pu, William T.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (38) : 15395 - 15400