{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T23:50:42Z","timestamp":1792540242502,"version":"4.5.0"},"reference-count":106,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T00:00:00Z","timestamp":1719878400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T00:00:00Z","timestamp":1719878400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["RF1-NS113548-01A1"],"award-info":[{"award-number":["RF1-NS113548-01A1"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["U24 NS072026"],"award-info":[{"award-number":["U24 NS072026"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30 AG019610"],"award-info":[{"award-number":["P30 AG019610"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30AG072980"],"award-info":[{"award-number":["P30AG072980"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["acta neuropathol commun"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The genetic architecture of Parkinson\u2019s disease (PD) is complex and multiple brain cell subtypes are involved in the neuropathological progression of the disease. Here we aimed to advance our understanding of PD genetic complexity at a cell subtype precision level. Using\n                    <jats:italic>parallel<\/jats:italic>\n                    single-nucleus (sn)RNA-seq and snATAC-seq analyses we simultaneously profiled the transcriptomic and chromatin accessibility landscapes in temporal cortex tissues from 12 PD compared to 12 control subjects at a granular single cell resolution. An integrative bioinformatic pipeline was developed and applied for the analyses of these snMulti-omics datasets. The results identified a subpopulation of cortical glutamatergic excitatory neurons with remarkably altered gene expression in PD, including differentially-expressed genes within PD risk loci identified in genome-wide association studies (GWAS). This was the only neuronal subtype showing significant and robust overexpression of\n                    <jats:italic>SNCA<\/jats:italic>\n                    . Further characterization of this neuronal-subpopulation showed upregulation of specific pathways related to axon guidance, neurite outgrowth and post-synaptic structure, and downregulated pathways involved in presynaptic organization and calcium response. Additionally, we characterized the roles of three molecular mechanisms in governing PD-associated cell subtype-specific dysregulation of gene expression: (1) changes in cis-regulatory element accessibility to transcriptional machinery; (2) changes in the abundance of master transcriptional regulators, including YY1, SP3, and KLF16; (3) candidate regulatory variants in high linkage disequilibrium with PD-GWAS genomic variants impacting transcription factor binding affinities. To our knowledge, this study is the first and the most comprehensive interrogation of the multi-omics landscape of PD at a cell-subtype resolution. Our findings provide new insights into a precise glutamatergic neuronal cell subtype, causal genes, and non-coding regulatory variants underlying the neuropathological progression of PD, paving the way for the development of cell- and gene-targeted therapeutics to halt disease progression as well as genetic biomarkers for early preclinical diagnosis.\n                  <\/jats:p>","DOI":"10.1186\/s40478-024-01803-1","type":"journal-article","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T02:03:14Z","timestamp":1719885794000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Single-nucleus multi-omics of Parkinson\u2019s disease reveals a glutamatergic neuronal subtype susceptible to gene dysregulation via alteration of transcriptional networks"],"prefix":"10.1186","volume":"12","author":[{"given":"E. Keats","family":"Shwab","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel C.","family":"Gingerich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaohui","family":"Man","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Gamache","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melanie E.","family":"Garrett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory E.","family":"Crawford","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allison E.","family":"Ashley-Koch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geidy E.","family":"Serrano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas G.","family":"Beach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael W.","family":"Lutz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ornit","family":"Chiba-Falek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,2]]},"reference":[{"key":"1803_CR1","doi-asserted-by":"publisher","first-page":"776847","DOI":"10.3389\/fpubh.2021.776847","volume":"9","author":"Z Ou","year":"2021","unstructured":"Ou Z et al (2021) Global trends in the incidence, prevalence, and years lived with disability of Parkinson\u2019s disease in 204 countries\/territories from 1990 to 2019. Front Public Health 9:776847","journal-title":"Front Public Health"},{"key":"1803_CR2","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1016\/S1474-4422(17)30299-5","volume":"16","author":"Group GNDC","year":"2017","unstructured":"Group GNDC (2017) Global, regional, and national burden of neurological disorders during 1990\u20132015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Neurol 16:877\u2013897","journal-title":"Lancet Neurol"},{"key":"1803_CR3","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1038\/s10038-022-01058-5","volume":"68","author":"M Funayama","year":"2023","unstructured":"Funayama M, Nishioka K, Li Y, Hattori N (2023) Molecular genetics of Parkinson\u2019s disease: contributions and global trends. J Hum Genet 68:125\u2013130","journal-title":"J Hum Genet"},{"key":"1803_CR4","doi-asserted-by":"publisher","first-page":"467","DOI":"10.3233\/JPD-230376","volume":"14","author":"SY Lim","year":"2024","unstructured":"Lim SY, Klein C (2024) Parkinson\u2019s disease is predominantly a\u00a0genetic disease. J Parkinsons Dis 14:467\u2013482","journal-title":"J Parkinsons Dis"},{"key":"1803_CR5","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1016\/S1474-4422(19)30320-5","volume":"18","author":"MA Nalls","year":"2019","unstructured":"Nalls MA et al (2019) Identification of novel risk loci, causal insights, and heritable risk for Parkinson\u2019s disease: a meta-analysis of genome-wide association studies. Lancet Neurol 18:1091\u20131102","journal-title":"Lancet Neurol"},{"key":"1803_CR6","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1038\/s41588-023-01584-8","volume":"56","author":"JJ Kim","year":"2023","unstructured":"Kim JJ et al (2023) Multi-ancestry genome-wide association meta-analysis of Parkinson\u2019s disease. Nat Genet 56:27\u201336","journal-title":"Nat Genet"},{"key":"1803_CR7","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1093\/brain\/awac301","volume":"146","author":"BI Bustos","year":"2022","unstructured":"Bustos BI et al (2022) Genome-wide contribution of common short-tandem repeats to Parkinson\u2019s disease genetic risk. Brain 146:65\u201374","journal-title":"Brain"},{"key":"1803_CR8","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1002\/ana.26608","volume":"93","author":"KJ Billingsley","year":"2023","unstructured":"Billingsley KJ et al (2023) Genome-wide analysis of structural variants in Parkinson disease. Ann Neurol 93:1012\u20131022","journal-title":"Ann Neurol"},{"key":"1803_CR9","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s10048-018-0546-8","volume":"19","author":"A Afek","year":"2018","unstructured":"Afek A et al (2018) Toward deciphering the mechanistic role of variations in the Rep1 repeat site in the transcription regulation of SNCA gene. Neurogenetics 19:135\u2013144","journal-title":"Neurogenetics"},{"key":"1803_CR10","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.gde.2017.01.014","volume":"44","author":"O Chiba-Falek","year":"2017","unstructured":"Chiba-Falek O (2017) Structural variants in SNCA gene and the implication to synucleinopathies. Curr Opin Genet Dev 44:110\u2013116","journal-title":"Curr Opin Genet Dev"},{"key":"1803_CR11","doi-asserted-by":"publisher","first-page":"133","DOI":"10.3389\/fgene.2017.00133","volume":"8","author":"OC Glenn","year":"2017","unstructured":"Glenn OC, Tagliafierro L, Beach TG, Woltjer RL, Chiba-Falek O (2017) Interpreting gene expression effects of disease-associated variants: a lesson from SNCA rs356168. Front Genet 8:133","journal-title":"Front Genet"},{"key":"1803_CR12","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1016\/j.jalz.2015.05.011","volume":"11","author":"MW Lutz","year":"2015","unstructured":"Lutz MW et al (2015) A cytosine-thymine (CT)-rich haplotype in intron 4 of SNCA confers risk for Lewy body pathology in Alzheimer\u2019s disease and affects SNCA expression. Alzheimers Dement 11:1133\u20131143","journal-title":"Alzheimers Dement"},{"key":"1803_CR13","doi-asserted-by":"publisher","first-page":"4183","DOI":"10.1038\/s41467-020-17876-0","volume":"11","author":"D Agarwal","year":"2020","unstructured":"Agarwal D et al (2020) A single-cell atlas of the human substantia nigra reveals cell-specific pathways associated with neurological disorders. Nat Commun 11:4183","journal-title":"Nat Commun"},{"key":"1803_CR14","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1038\/nbt.4038","volume":"36","author":"BB Lake","year":"2018","unstructured":"Lake BB et al (2018) Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain. Nat Biotechnol 36:70\u201380","journal-title":"Nat Biotechnol"},{"key":"1803_CR15","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1038\/s41593-022-01061-1","volume":"25","author":"T Kamath","year":"2022","unstructured":"Kamath T et al (2022) Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson\u2019s disease. Nat Neurosci 25:588\u2013595","journal-title":"Nat Neurosci"},{"key":"1803_CR16","doi-asserted-by":"publisher","first-page":"282","DOI":"10.3389\/fncel.2018.00282","volume":"12","author":"C Lecours","year":"2018","unstructured":"Lecours C et al (2018) Microglial implication in Parkinson\u2019s disease: loss of beneficial physiological roles or gain of inflammatory functions? Front Cell Neurosci 12:282","journal-title":"Front Cell Neurosci"},{"key":"1803_CR17","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.tins.2017.04.001","volume":"40","author":"HDE Booth","year":"2017","unstructured":"Booth HDE, Hirst WD, Wade-Martins R (2017) The role of astrocyte dysfunction in Parkinson\u2019s disease pathogenesis. Trends Neurosci 40:358\u2013370","journal-title":"Trends Neurosci"},{"key":"1803_CR18","doi-asserted-by":"publisher","first-page":"eabo467","DOI":"10.1126\/sciadv.abo2467","volume":"9","author":"AJ Lee","year":"2023","unstructured":"Lee AJ et al (2023) Characterization of altered molecular mechanisms in Parkinson\u2019s disease through cell type-resolved multiomics analyses. Sci Adv 9:eabo467","journal-title":"Sci Adv"},{"key":"1803_CR19","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.jns.2009.08.034","volume":"289","author":"D Aarsland","year":"2010","unstructured":"Aarsland D, Kurz MW (2010) The epidemiology of dementia associated with Parkinson disease. J Neurol Sci 289:18\u201322","journal-title":"J Neurol Sci"},{"key":"1803_CR20","doi-asserted-by":"publisher","first-page":"1258","DOI":"10.1136\/jnnp-2013-305277","volume":"84","author":"CH Williams-Gray","year":"2013","unstructured":"Williams-Gray CH et al (2013) The CamPaIGN study of Parkinson\u2019s disease: 10-year outlook in an incident population-based cohort. J Neurol Neurosurg Psychiatry 84:1258\u20131264","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"1803_CR21","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1038\/s41572-021-00280-3","volume":"7","author":"D Aarsland","year":"2021","unstructured":"Aarsland D et al (2021) Parkinson disease-associated cognitive impairment. Nat Rev Dis Primers 7:47","journal-title":"Nat Rev Dis Primers"},{"key":"1803_CR22","doi-asserted-by":"publisher","first-page":"1888","DOI":"10.1016\/j.cell.2019.05.031","volume":"177","author":"T Stuart","year":"2019","unstructured":"Stuart T et al (2019) Comprehensive integration of single-cell data. Cell 177:1888-1902 e21","journal-title":"Cell"},{"key":"1803_CR23","doi-asserted-by":"crossref","unstructured":"Bakken TE et al (2020) Evolution of cellular diversity in primary motor cortex of human, marmoset monkey, and mouse. bioRxiv 2020.03.31.016972","DOI":"10.1101\/2020.03.31.016972"},{"key":"1803_CR24","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1038\/s41586-019-1195-2","volume":"570","author":"H Mathys","year":"2019","unstructured":"Mathys H et al (2019) Single-cell transcriptomic analysis of Alzheimer\u2019s disease. Nature 570:332\u2013337","journal-title":"Nature"},{"key":"1803_CR25","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1038\/s41586-021-04369-3","volume":"603","author":"AC Yang","year":"2022","unstructured":"Yang AC, Vest RT, Kern F (2022) A human brain vascular atlas reveals diverse mediators of Alzheimer\u2019s risk. Nature 603:885\u2013892","journal-title":"Nature"},{"key":"1803_CR26","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1038\/s41593-023-01334-3","volume":"26","author":"N Sun","year":"2023","unstructured":"Sun N et al (2023) Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer\u2019s disease. Nat Neurosci 26:970\u2013982","journal-title":"Nat Neurosci"},{"key":"1803_CR27","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1038\/s41598-020-79740-x","volume":"11","author":"TS Johnson","year":"2021","unstructured":"Johnson TS et al (2021) Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer\u2019s Disease. Sci Rep 11:353","journal-title":"Sci Rep"},{"key":"1803_CR28","doi-asserted-by":"publisher","first-page":"eaaq0305","DOI":"10.1126\/scitranslmed.aaq0305","volume":"10","author":"CY Fonseka","year":"2018","unstructured":"Fonseka CY et al (2018) Mixed-effects association of single cells identifies an expanded effector CD4(+) T cell subset in rheumatoid arthritis. Sci Transl Med 10:eaaq0305","journal-title":"Sci Transl Med"},{"key":"1803_CR29","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1038\/s42003-021-02146-6","volume":"4","author":"L He","year":"2021","unstructured":"He L et al (2021) NEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data. Commun Biol 4:629","journal-title":"Commun Biol"},{"key":"1803_CR30","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1038\/s41467-019-09234-6","volume":"10","author":"Y Zhou","year":"2019","unstructured":"Zhou Y et al (2019) Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 10:1523","journal-title":"Nat Commun"},{"key":"1803_CR31","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1038\/s41531-023-00460-w","volume":"9","author":"D Flinkman","year":"2023","unstructured":"Flinkman D et al (2023) Regulators of proteostasis are translationally repressed in fibroblasts from patients with sporadic and LRRK2-G2019S Parkinson\u2019s disease. npj Parkinson\u2019s Dis 9:20","journal-title":"npj Parkinson's Dis"},{"key":"1803_CR32","doi-asserted-by":"publisher","first-page":"17","DOI":"10.3233\/JPD-150738","volume":"6","author":"I Martin","year":"2016","unstructured":"Martin I (2016) Decoding Parkinson\u2019s disease pathogenesis: the role of deregulated mRNA translation. J Parkinsons Dis 6:17\u201327","journal-title":"J Parkinsons Dis"},{"key":"1803_CR33","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.3390\/ijms25021299","volume":"25","author":"S D'Angiolini","year":"2024","unstructured":"D'Angiolini S, Lui M, Mazzon E, Calabr\u00f2 M (2024) Network analysis performed on transcriptomes of Parkinson's disease patients reveals dysfunction in protein translation. Int J Mol Sci 25:1299","journal-title":"Int J Mol Sci"},{"key":"1803_CR34","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1016\/j.drudis.2019.04.003","volume":"24","author":"D Correddu","year":"2019","unstructured":"Correddu D, Leung IKH (2019) Targeting mRNA translation in Parkinson\u2019s disease. Drug Discov Today 24:1295\u20131303","journal-title":"Drug Discov Today"},{"key":"1803_CR35","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1038\/s41419-021-03441-0","volume":"12","author":"M Bi","year":"2021","unstructured":"Bi M, Du X, Jiao Q, Chen X, Jiang H (2021) Expanding the role of proteasome homeostasis in Parkinson\u2019s disease: beyond protein breakdown. Cell Death Dis 12:154","journal-title":"Cell Death Dis"},{"key":"1803_CR36","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1186\/s40478-020-0894-0","volume":"8","author":"C McKinnon","year":"2020","unstructured":"McKinnon C et al (2020) Early-onset impairment of the ubiquitin-proteasome system in dopaminergic neurons caused by \u03b1-synuclein. Acta Neuropathol Commun 8:17","journal-title":"Acta Neuropathol Commun"},{"key":"1803_CR37","doi-asserted-by":"publisher","first-page":"70","DOI":"10.3389\/fnmol.2014.00070","volume":"7","author":"NP Dantuma","year":"2014","unstructured":"Dantuma NP, Bott LC (2014) The ubiquitin-proteasome system in neurodegenerative diseases: precipitating factor, yet part of the solution. Front Mol Neurosci 7:70","journal-title":"Front Mol Neurosci"},{"key":"1803_CR38","doi-asserted-by":"publisher","first-page":"5379","DOI":"10.1007\/s12035-022-02897-1","volume":"59","author":"S Sahoo","year":"2022","unstructured":"Sahoo S, Padhy AA, Kumari V, Mishra P (2022) Role of ubiquitin-proteasome and autophagy-lysosome pathways in \u03b1-synuclein aggregate clearance. Mol Neurobiol 59:5379\u20135407","journal-title":"Mol Neurobiol"},{"key":"1803_CR39","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1186\/s13024-023-00676-7","volume":"18","author":"MT Henrich","year":"2023","unstructured":"Henrich MT, Oertel WH, Surmeier DJ, Geibl FF (2023) Mitochondrial dysfunction in Parkinson\u2019s disease\u2014a key disease hallmark with therapeutic potential. Mol Neurodegener 18:83","journal-title":"Mol Neurodegener"},{"key":"1803_CR40","doi-asserted-by":"publisher","first-page":"eabp8701","DOI":"10.1126\/sciadv.abp8701","volume":"8","author":"E Zampese","year":"2022","unstructured":"Zampese E et al (2022) Ca(2+) channels couple spiking to mitochondrial metabolism in substantia nigra dopaminergic neurons. Sci Adv 8:eabp8701","journal-title":"Sci Adv"},{"key":"1803_CR41","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1002\/1873-3468.12964","volume":"592","author":"PR Angelova","year":"2018","unstructured":"Angelova PR, Abramov AY (2018) Role of mitochondrial ROS in the brain: from physiology to neurodegeneration. FEBS Lett 592:692\u2013702","journal-title":"FEBS Lett"},{"key":"1803_CR42","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1089\/ars.2011.4033","volume":"16","author":"TN Martinez","year":"2012","unstructured":"Martinez TN, Greenamyre JT (2012) Toxin models of mitochondrial dysfunction in Parkinson\u2019s disease. Antioxid Redox Signal 16:920\u2013934","journal-title":"Antioxid Redox Signal"},{"key":"1803_CR43","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1038\/s41586-021-04059-0","volume":"599","author":"P Gonz\u00e1lez-Rodr\u00edguez","year":"2021","unstructured":"Gonz\u00e1lez-Rodr\u00edguez P et al (2021) Disruption of mitochondrial complex I induces progressive parkinsonism. Nature 599:650\u2013656","journal-title":"Nature"},{"key":"1803_CR44","doi-asserted-by":"publisher","first-page":"6313","DOI":"10.3390\/ijms24076313","volume":"24","author":"ZX Wang","year":"2023","unstructured":"Wang ZX, Li YL, Pu JL, Zhang BR (2023) DNA damage-mediated neurotoxicity in Parkinson's disease. Int J Mol Sci 24:6313","journal-title":"Int J Mol Sci"},{"key":"1803_CR45","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s10048-016-0478-0","volume":"17","author":"L Tagliafierro","year":"2016","unstructured":"Tagliafierro L, Chiba-Falek O (2016) Up-regulation of SNCA gene expression: implications to synucleinopathies. Neurogenetics 17:145\u2013157","journal-title":"Neurogenetics"},{"key":"1803_CR46","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1093\/hmg\/ddy355","volume":"28","author":"L Tagliafierro","year":"2019","unstructured":"Tagliafierro L, Zamora ME, Chiba-Falek O (2019) Multiplication of the SNCA locus exacerbates neuronal nuclear aging. Hum Mol Genet 28:407\u2013421","journal-title":"Hum Mol Genet"},{"key":"1803_CR47","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1038\/s41586-019-1506-7","volume":"573","author":"RD Hodge","year":"2019","unstructured":"Hodge RD et al (2019) Conserved cell types with divergent features in human versus mouse cortex. Nature 573:61\u201368","journal-title":"Nature"},{"key":"1803_CR48","doi-asserted-by":"publisher","first-page":"6902","DOI":"10.1038\/s41467-022-34590-1","volume":"13","author":"JR Wei","year":"2022","unstructured":"Wei JR et al (2022) Identification of visual cortex cell types and species differences using single-cell RNA sequencing. Nat Commun 13:6902","journal-title":"Nat Commun"},{"key":"1803_CR49","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1080\/15548627.2022.2059170","volume":"19","author":"X Chen","year":"2023","unstructured":"Chen X et al (2023) Identification of HPCAL1 as a specific autophagy receptor involved in ferroptosis. Autophagy 19:54\u201374","journal-title":"Autophagy"},{"key":"1803_CR50","doi-asserted-by":"publisher","first-page":"2795","DOI":"10.1158\/1078-0432.CCR-18-1474","volume":"25","author":"WT Wang","year":"2019","unstructured":"Wang WT et al (2019) Activation of the lysosome-associated membrane protein LAMP5 by DOT1L serves as a bodyguard for MLL fusion oncoproteins to evade degradation in leukemia. Clin Cancer Res 25:2795\u20132808","journal-title":"Clin Cancer Res"},{"key":"1803_CR51","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/s41420-023-01612-w","volume":"9","author":"N Li","year":"2023","unstructured":"Li N et al (2023) Targeting ANXA7\/LAMP5-mTOR axis attenuates spinal cord injury by inhibiting neuronal apoptosis via enhancing autophagy in mice. Cell Death Discov 9:309","journal-title":"Cell Death Discov"},{"key":"1803_CR52","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/s12031-016-0745-4","volume":"59","author":"JD Mills","year":"2016","unstructured":"Mills JD et al (2016) LINC00507 is specifically expressed in the primate cortex and has age-dependent expression patterns. J Mol Neurosci 59:431\u2013439","journal-title":"J Mol Neurosci"},{"key":"1803_CR53","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/978-1-4614-8090-7_7","volume":"8","author":"AR Ypsilanti","year":"2014","unstructured":"Ypsilanti AR, Chedotal A (2014) Roundabout receptors. Adv Neurobiol 8:133\u2013164","journal-title":"Adv Neurobiol"},{"key":"1803_CR54","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1002\/dvdy.24609","volume":"247","author":"SA Russell","year":"2018","unstructured":"Russell SA, Bashaw GJ (2018) Axon guidance pathways and the control of gene expression. Dev Dyn 247:571\u2013580","journal-title":"Dev Dyn"},{"key":"1803_CR55","doi-asserted-by":"publisher","first-page":"E5373","DOI":"10.1073\/pnas.1802737115","volume":"115","author":"W Tao","year":"2018","unstructured":"Tao W, D\u00edaz-Alonso J, Sheng N, Nicoll RA (2018) Postsynaptic \u03b41 glutamate receptor assembles and maintains hippocampal synapses via Cbln2 and neurexin. Proc Natl Acad Sci U S A 115:E5373-e5381","journal-title":"Proc Natl Acad Sci U S A"},{"key":"1803_CR56","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1016\/j.molcel.2018.06.044","volume":"71","author":"HA Pliner","year":"2018","unstructured":"Pliner HA et al (2018) Cicero predicts cis-regulatory DNA interactions from single-cell chromatin accessibility data. Mol Cell 71:858-871.e8","journal-title":"Mol Cell"},{"key":"1803_CR57","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1186\/s13578-023-01120-5","volume":"13","author":"J Gamache","year":"2023","unstructured":"Gamache J et al (2023) Integrative single-nucleus multi-omics analysis prioritizes candidate cis and trans regulatory networks and their target genes in Alzheimer\u2019s disease brains. Cell Biosci 13:185","journal-title":"Cell Biosci"},{"key":"1803_CR58","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1038\/35000226","volume":"403","author":"T GrandPr\u00e9","year":"2000","unstructured":"GrandPr\u00e9 T, Nakamura F, Vartanian T, Strittmatter SM (2000) Identification of the Nogo inhibitor of axon regeneration as a Reticulon protein. Nature 403:439\u2013444","journal-title":"Nature"},{"key":"1803_CR59","doi-asserted-by":"publisher","first-page":"3961","DOI":"10.1096\/fj.201600698R","volume":"30","author":"MB Schaaf","year":"2016","unstructured":"Schaaf MB, Keulers TG, Vooijs MA, Rouschop KM (2016) LC3\/GABARAP family proteins: autophagy-(un)related functions. Faseb J 30:3961\u20133978","journal-title":"Faseb J"},{"key":"1803_CR60","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/S0092-8674(02)01012-7","volume":"111","author":"Y Liu","year":"2002","unstructured":"Liu Y, Fallon L, Lashuel HA, Liu Z, Lansbury PT Jr (2002) The UCH-L1 gene encodes two opposing enzymatic activities that affect alpha-synuclein degradation and Parkinson\u2019s disease susceptibility. Cell 111:209\u2013218","journal-title":"Cell"},{"key":"1803_CR61","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1016\/j.molcel.2010.05.004","volume":"38","author":"S Heinz","year":"2010","unstructured":"Heinz S et al (2010) Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol Cell 38:576\u2013589","journal-title":"Mol Cell"},{"key":"1803_CR62","doi-asserted-by":"publisher","first-page":"35283","DOI":"10.1038\/srep35283","volume":"6","author":"N Rademacher","year":"2016","unstructured":"Rademacher N, Schmerl B, Lardong JA, Wahl MC, Shoichet SA (2016) MPP2 is a postsynaptic MAGUK scaffold protein that links SynCAM1 cell adhesion molecules to core components of the postsynaptic density. Sci Rep 6:35283","journal-title":"Sci Rep"},{"key":"1803_CR63","doi-asserted-by":"publisher","first-page":"3847","DOI":"10.1093\/bioinformatics\/btv470","volume":"31","author":"SG Coetzee","year":"2015","unstructured":"Coetzee SG, Coetzee GA, Hazelett DJ (2015) motifbreakR: an R\/bioconductor package for predicting variant effects at transcription factor binding sites. Bioinformatics 31:3847\u20133849","journal-title":"Bioinformatics"},{"key":"1803_CR64","doi-asserted-by":"publisher","first-page":"D941","DOI":"10.1093\/nar\/gkz836","volume":"48","author":"S Fairley","year":"2019","unstructured":"Fairley S, Lowy-Gallego E, Perry E, Flicek P (2019) The international genome sample resource (IGSR) collection of open human genomic variation resources. Nucleic Acids Res 48:D941\u2013D947","journal-title":"Nucleic Acids Res"},{"key":"1803_CR65","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1111\/j.1471-4159.2009.06250.x","volume":"110","author":"RL Clough","year":"2009","unstructured":"Clough RL, Dermentzaki G, Stefanis L (2009) Functional dissection of the alpha-synuclein promoter: transcriptional regulation by ZSCAN21 and ZNF219. J Neurochem 110:1479\u20131490","journal-title":"J Neurochem"},{"key":"1803_CR66","doi-asserted-by":"crossref","unstructured":"Zalon AJ, Quiriconi DJ, Pitcairn C, Mazzulli JR (2024) \u03b1-Synuclein: multiple pathogenic roles in trafficking and proteostasis pathways in Parkinson's disease. Neuroscientist 10738584241232963","DOI":"10.1177\/10738584241232963"},{"key":"1803_CR67","doi-asserted-by":"publisher","first-page":"2045","DOI":"10.1126\/science.276.5321.2045","volume":"276","author":"MH Polymeropoulos","year":"1997","unstructured":"Polymeropoulos MH et al (1997) Mutation in the alpha-synuclein gene identified in families with Parkinson\u2019s disease. Science 276:2045\u20132047","journal-title":"Science"},{"key":"1803_CR68","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1002\/mds.27823","volume":"34","author":"YC Wong","year":"2019","unstructured":"Wong YC et al (2019) Neuronal vulnerability in Parkinson disease: Should the focus be on axons and synaptic terminals? Mov Disord 34:1406\u20131422","journal-title":"Mov Disord"},{"key":"1803_CR69","doi-asserted-by":"publisher","first-page":"2349","DOI":"10.1016\/j.cub.2015.07.050","volume":"25","author":"C Pacelli","year":"2015","unstructured":"Pacelli C et al (2015) Elevated mitochondrial bioenergetics and axonal arborization size are key contributors to the vulnerability of dopamine neurons. Curr Biol 25:2349\u20132360","journal-title":"Curr Biol"},{"key":"1803_CR70","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1111\/j.1471-4159.2008.05486.x","volume":"106","author":"Y He","year":"2008","unstructured":"He Y, Casaccia-Bonnefil P (2008) The Yin and Yang of YY1 in the nervous system. J Neurochem 106:1493\u20131502","journal-title":"J Neurochem"},{"key":"1803_CR71","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1016\/j.ajhg.2017.05.006","volume":"100","author":"M Gabriele","year":"2017","unstructured":"Gabriele M et al (2017) YY1 haploinsufficiency causes an intellectual disability syndrome featuring transcriptional and chromatin dysfunction. Am J Hum Genet 100:907\u2013925","journal-title":"Am J Hum Genet"},{"key":"1803_CR72","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1038\/nsmb1332","volume":"14","author":"S Wu","year":"2007","unstructured":"Wu S et al (2007) A YY1-INO80 complex regulates genomic stability through homologous recombination-based repair. Nat Struct Mol Biol 14:1165\u20131172","journal-title":"Nat Struct Mol Biol"},{"key":"1803_CR73","doi-asserted-by":"publisher","first-page":"dev200839","DOI":"10.1242\/dev.200839","volume":"150","author":"AM McCoy","year":"2023","unstructured":"McCoy AM et al (2023) Sp3 is essential for normal lung morphogenesis and cell cycle progression during mouse embryonic development. Development 150:dev200839","journal-title":"Development"},{"key":"1803_CR74","doi-asserted-by":"publisher","first-page":"15318","DOI":"10.1074\/jbc.M112.447318","volume":"288","author":"BJ Carver","year":"2013","unstructured":"Carver BJ, Plosa EJ, Stinnett AM, Blackwell TS, Prince LS (2013) Interactions between NF-\u03baB and SP3 connect inflammatory signaling with reduced FGF-10 expression. J Biol Chem 288:15318\u201315325","journal-title":"J Biol Chem"},{"key":"1803_CR75","doi-asserted-by":"publisher","first-page":"7010","DOI":"10.1074\/jbc.M111.266007","volume":"287","author":"GS Daftary","year":"2012","unstructured":"Daftary GS et al (2012) Detailed structural-functional analysis of the Kr\u00fcppel-like factor 16 (KLF16) transcription factor reveals novel mechanisms for silencing Sp\/KLF sites involved in metabolism and endocrinology. J Biol Chem 287:7010\u20137025","journal-title":"J Biol Chem"},{"key":"1803_CR76","doi-asserted-by":"publisher","first-page":"18084","DOI":"10.1074\/jbc.M116.732339","volume":"291","author":"J Wang","year":"2016","unstructured":"Wang J et al (2016) Novel roles and mechanism for Kr\u00fcppel-like factor 16 (KLF16) regulation of neurite outgrowth and Ephrin receptor A5 (EphA5) expression in retinal ganglion cells. J Biol Chem 291:18084\u201318095","journal-title":"J Biol Chem"},{"key":"1803_CR77","doi-asserted-by":"publisher","first-page":"6725","DOI":"10.1007\/s12035-019-1566-6","volume":"56","author":"Y Suh","year":"2019","unstructured":"Suh Y et al (2019) Dopamine D1 receptor (D1R) expression is controlled by a transcriptional repressor complex containing DISC1. Mol Neurobiol 56:6725\u20136735","journal-title":"Mol Neurobiol"},{"key":"1803_CR78","doi-asserted-by":"publisher","first-page":"e14362","DOI":"10.1111\/cns.14362","volume":"30","author":"X Peng","year":"2024","unstructured":"Peng X et al (2024) MPP2 interacts with SK2 to rescue the excitability of glutamatergic neurons in the BLA and facilitate the extinction of conditioned fear in mice. CNS Neurosci Ther 30:e14362","journal-title":"CNS Neurosci Ther"},{"key":"1803_CR79","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1038\/nrn3549","volume":"14","author":"DJ Irwin","year":"2013","unstructured":"Irwin DJ, Lee VM, Trojanowski JQ (2013) Parkinson\u2019s disease dementia: convergence of \u03b1-synuclein, tau and amyloid-\u03b2 pathologies. Nat Rev Neurosci 14:626\u2013636","journal-title":"Nat Rev Neurosci"},{"key":"1803_CR80","doi-asserted-by":"publisher","first-page":"47","DOI":"10.3389\/fneur.2020.00047","volume":"11","author":"S Sasikumar","year":"2020","unstructured":"Sasikumar S, Strafella AP (2020) Imaging mild cognitive impairment and dementia in Parkinson\u2019s disease. Front Neurol 11:47","journal-title":"Front Neurol"},{"key":"1803_CR81","doi-asserted-by":"publisher","first-page":"2493","DOI":"10.1093\/brain\/awu193","volume":"137","author":"H Hall","year":"2014","unstructured":"Hall H et al (2014) Hippocampal Lewy pathology and cholinergic dysfunction are associated with dementia in Parkinson\u2019s disease. Brain 137:2493\u20132508","journal-title":"Brain"},{"key":"1803_CR82","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1002\/acn3.50857","volume":"6","author":"L Yu","year":"2019","unstructured":"Yu L et al (2019) Common age-related neuropathologies and yearly variability in cognition. Ann Clin Transl Neurol 6:2140\u20132149","journal-title":"Ann Clin Transl Neurol"},{"key":"1803_CR83","first-page":"1234","volume":"90","author":"C Smith","year":"2019","unstructured":"Smith C et al (2019) Neuropathology of dementia in patients with Parkinson\u2019s disease: a systematic review of autopsy studies. J Neurol Neurosurg Psychiatry 90:1234\u20131243","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"1803_CR84","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1093\/brain\/awr031","volume":"134","author":"Y Compta","year":"2011","unstructured":"Compta Y et al (2011) Lewy- and Alzheimer-type pathologies in Parkinson\u2019s disease dementia: which is more important? Brain 134:1493\u20131505","journal-title":"Brain"},{"key":"1803_CR85","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1212\/01.wnl.0000187889.17253.b1","volume":"65","author":"IG McKeith","year":"2005","unstructured":"McKeith IG et al (2005) Diagnosis and management of dementia with Lewy bodies: third report of the DLB consortium. Neurology 65:1863\u20131872","journal-title":"Neurology"},{"key":"1803_CR86","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1016\/j.cell.2020.09.056","volume":"183","author":"S Ma","year":"2020","unstructured":"Ma S et al (2020) Chromatin potential identified by shared single-cell profiling of RNA and chromatin. Cell 183:1103-1116.e20","journal-title":"Cell"},{"key":"1803_CR87","doi-asserted-by":"crossref","unstructured":"Schoenfelder S, Javierre B-M, Furlan-Magaril M, Wingett SW, Fraser P (2018) Promoter capture Hi-C: high-resolution, genome-wide profiling of promoter interactions. JoVE e57320","DOI":"10.3791\/57320"},{"key":"1803_CR88","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1111\/neup.12189","volume":"35","author":"TG Beach","year":"2015","unstructured":"Beach TG et al (2015) Arizona study of aging and neurodegenerative disorders and brain and body donation program. Neuropathology 35:354\u2013389","journal-title":"Neuropathology"},{"key":"1803_CR89","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1093\/jnen\/nlz080","volume":"78","author":"CH Adler","year":"2019","unstructured":"Adler CH et al (2019) Unified staging system for lewy body disorders: clinicopathologic correlations and comparison to Braak staging. J Neuropathol Exp Neurol 78:891\u2013899","journal-title":"J Neuropathol Exp Neurol"},{"key":"1803_CR90","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/1471-2202-9-42","volume":"9","author":"Y Jiang","year":"2008","unstructured":"Jiang Y, Matevossian A, Huang HS, Straubhaar J, Akbarian S (2008) Isolation of neuronal chromatin from brain tissue. BMC Neurosci 9:42","journal-title":"BMC Neurosci"},{"key":"1803_CR91","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/0076-6879(90)81109-8","volume":"181","author":"WF Marzluff","year":"1990","unstructured":"Marzluff WF (1990) Preparation of active nuclei. Methods Enzymol 181:30\u201336","journal-title":"Methods Enzymol"},{"key":"1803_CR92","doi-asserted-by":"crossref","unstructured":"Hao Y. et al (2020) Integrated analysis of multimodal single-cell data. bioRxiv 2020.10.12.335331","DOI":"10.1101\/2020.10.12.335331"},{"key":"1803_CR93","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1186\/s13059-019-1874-1","volume":"20","author":"C Hafemeister","year":"2019","unstructured":"Hafemeister C, Satija R (2019) Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biol 20:296","journal-title":"Genome Biol"},{"key":"1803_CR94","doi-asserted-by":"crossref","unstructured":"Lause J, Berens P, Kobak D (2020) Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data. bioRxiv 2020.12.01.405886","DOI":"10.1101\/2020.12.01.405886"},{"key":"1803_CR95","doi-asserted-by":"publisher","first-page":"2087","DOI":"10.1038\/s41593-019-0539-4","volume":"22","author":"A Grubman","year":"2019","unstructured":"Grubman A et al (2019) A single-cell atlas of entorhinal cortex from individuals with Alzheimer\u2019s disease reveals cell-type-specific gene expression regulation. Nat Neurosci 22:2087\u20132097","journal-title":"Nat Neurosci"},{"key":"1803_CR96","doi-asserted-by":"publisher","first-page":"D766","DOI":"10.1093\/nar\/gky955","volume":"47","author":"A Frankish","year":"2019","unstructured":"Frankish A et al (2019) GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Res 47:D766\u2013D773","journal-title":"Nucleic Acids Res"},{"key":"1803_CR97","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1038\/s41592-021-01282-5","volume":"18","author":"T Stuart","year":"2021","unstructured":"Stuart T, Srivastava A, Madad S, Lareau CA, Satija R (2021) Single-cell chromatin state analysis with Signac. Nat Methods 18:1333\u20131341","journal-title":"Nat Methods"},{"key":"1803_CR98","doi-asserted-by":"publisher","first-page":"9354","DOI":"10.1038\/s41598-019-45839-z","volume":"9","author":"HM Amemiya","year":"2019","unstructured":"Amemiya HM, Kundaje A, Boyle AP (2019) The ENCODE blacklist: identification of problematic regions of the genome. Sci Rep 9:9354","journal-title":"Sci Rep"},{"key":"1803_CR99","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1038\/s41592-019-0619-0","volume":"16","author":"I Korsunsky","year":"2019","unstructured":"Korsunsky I et al (2019) Fast, sensitive and accurate integration of single-cell data with harmony. Nat Methods 16:1289\u20131296","journal-title":"Nat Methods"},{"key":"1803_CR100","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1016\/j.cell.2018.06.052","volume":"174","author":"DA Cusanovich","year":"2018","unstructured":"Cusanovich DA et al (2018) A single-cell atlas of in vivo mammalian chromatin accessibility. Cell 174:1309-1324.e18","journal-title":"Cell"},{"key":"1803_CR101","doi-asserted-by":"publisher","first-page":"R137","DOI":"10.1186\/gb-2008-9-9-r137","volume":"9","author":"Y Zhang","year":"2008","unstructured":"Zhang Y et al (2008) Model-based analysis of ChIP-Seq (MACS). Genome Biol 9:R137","journal-title":"Genome Biol"},{"key":"1803_CR102","first-page":"2761","volume":"31","author":"V Jalili","year":"2015","unstructured":"Jalili V, Matteucci M, Masseroli M, Morelli MJ (2015) Using combined evidence from replicates to evaluate ChIP-seq peaks. Bioinformatics (Oxford, England) 31:2761\u20132769","journal-title":"Bioinformatics (Oxford, England)"},{"key":"1803_CR103","first-page":"850","volume":"12","author":"J Gagnon","year":"2022","unstructured":"Gagnon J et al (2022) Recommendations of scRNA-seq differential gene expression analysis based on comprehensive benchmarking. Life (Basel) 12:850","journal-title":"Life (Basel)"},{"key":"1803_CR104","doi-asserted-by":"crossref","first-page":"D87","DOI":"10.1093\/nar\/gkaa516","volume":"48","author":"O Fornes","year":"2020","unstructured":"Fornes O et al (2020) JASPAR 2020: update of the open-access database of transcription factor binding profiles. Nucleic Acids Res 48:D87\u2013D92","journal-title":"Nucleic Acids Res"},{"key":"1803_CR105","unstructured":"Schep A (2022) motifmatchr: fast motif matching in R. R package version 1.20.0"},{"key":"1803_CR106","doi-asserted-by":"publisher","first-page":"3555","DOI":"10.1093\/bioinformatics\/btv402","volume":"31","author":"MJ Machiela","year":"2015","unstructured":"Machiela MJ, Chanock SJ (2015) LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants. Bioinformatics 31:3555\u20133557","journal-title":"Bioinformatics"}],"container-title":["Acta Neuropathologica Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40478-024-01803-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s40478-024-01803-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40478-024-01803-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T02:03:32Z","timestamp":1719885812000},"score":1,"resource":{"primary":{"URL":"https:\/\/actaneurocomms.biomedcentral.com\/articles\/10.1186\/s40478-024-01803-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,2]]},"references-count":106,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["1803"],"URL":"https:\/\/doi.org\/10.1186\/s40478-024-01803-1","relation":{},"ISSN":["2051-5960"],"issn-type":[{"value":"2051-5960","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,2]]},"assertion":[{"value":"22 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The project was approved by the Duke Institutional Review Board (IRB). The study does not involve living human subjects. All samples were obtained from autopsies, and all are de-identified.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"111"}}