J. Russell Moore, Mati T. Nemera, Rinaldo D. D’Souza, Nicole Hamagami, Adam W. Clemens, Diana C. Beard, Alaina Urman, Yasmin Razia, Victoria Rodriguez Mendoza, Travis E. Law, John R. Edwards, Harrison W. Gabel
{"title":"MeCP2和非cg DNA甲基化稳定了区分密切相关神经元类型的长基因的表达","authors":"J. Russell Moore, Mati T. Nemera, Rinaldo D. D’Souza, Nicole Hamagami, Adam W. Clemens, Diana C. Beard, Alaina Urman, Yasmin Razia, Victoria Rodriguez Mendoza, Travis E. Law, John R. Edwards, Harrison W. Gabel","doi":"10.1038/s41593-025-01947-w","DOIUrl":null,"url":null,"abstract":"<p>The diversity of mammalian neurons is delineated by subtle gene expression differences that may require specialized mechanisms to be maintained. Neurons uniquely express the longest genes in the genome and use non-CG DNA methylation (mCA), together with the Rett syndrome protein methyl-CpG-binding protein 2 (MeCP2), to control gene expression. However, whether these distinctive gene structures and molecular machinery regulate neuronal diversity remains unexplored. Here, we use genomic and spatial transcriptomic analyses to show that MeCP2 maintains transcriptomic diversity across closely related neuron types. We uncover differential susceptibility of neuronal populations to MeCP2 loss according to global mCA levels and dissect methylation patterns driving shared and distinct MeCP2 gene regulation. We show that MeCP2 regulates long, mCA-enriched, ‘repeatedly tuned’ genes, that is, genes differentially expressed between many closely related neuron types, including across spatially distinct, vision-dependent gene programs in the visual cortex. Thus, MeCP2 maintains neuron type-specific gene programs to facilitate cellular diversity in the brain.</p>","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"5 1","pages":""},"PeriodicalIF":21.2000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MeCP2 and non-CG DNA methylation stabilize the expression of long genes that distinguish closely related neuron types\",\"authors\":\"J. Russell Moore, Mati T. Nemera, Rinaldo D. D’Souza, Nicole Hamagami, Adam W. Clemens, Diana C. Beard, Alaina Urman, Yasmin Razia, Victoria Rodriguez Mendoza, Travis E. Law, John R. Edwards, Harrison W. Gabel\",\"doi\":\"10.1038/s41593-025-01947-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The diversity of mammalian neurons is delineated by subtle gene expression differences that may require specialized mechanisms to be maintained. Neurons uniquely express the longest genes in the genome and use non-CG DNA methylation (mCA), together with the Rett syndrome protein methyl-CpG-binding protein 2 (MeCP2), to control gene expression. However, whether these distinctive gene structures and molecular machinery regulate neuronal diversity remains unexplored. Here, we use genomic and spatial transcriptomic analyses to show that MeCP2 maintains transcriptomic diversity across closely related neuron types. We uncover differential susceptibility of neuronal populations to MeCP2 loss according to global mCA levels and dissect methylation patterns driving shared and distinct MeCP2 gene regulation. We show that MeCP2 regulates long, mCA-enriched, ‘repeatedly tuned’ genes, that is, genes differentially expressed between many closely related neuron types, including across spatially distinct, vision-dependent gene programs in the visual cortex. Thus, MeCP2 maintains neuron type-specific gene programs to facilitate cellular diversity in the brain.</p>\",\"PeriodicalId\":19076,\"journal\":{\"name\":\"Nature neuroscience\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":21.2000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41593-025-01947-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41593-025-01947-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
MeCP2 and non-CG DNA methylation stabilize the expression of long genes that distinguish closely related neuron types
The diversity of mammalian neurons is delineated by subtle gene expression differences that may require specialized mechanisms to be maintained. Neurons uniquely express the longest genes in the genome and use non-CG DNA methylation (mCA), together with the Rett syndrome protein methyl-CpG-binding protein 2 (MeCP2), to control gene expression. However, whether these distinctive gene structures and molecular machinery regulate neuronal diversity remains unexplored. Here, we use genomic and spatial transcriptomic analyses to show that MeCP2 maintains transcriptomic diversity across closely related neuron types. We uncover differential susceptibility of neuronal populations to MeCP2 loss according to global mCA levels and dissect methylation patterns driving shared and distinct MeCP2 gene regulation. We show that MeCP2 regulates long, mCA-enriched, ‘repeatedly tuned’ genes, that is, genes differentially expressed between many closely related neuron types, including across spatially distinct, vision-dependent gene programs in the visual cortex. Thus, MeCP2 maintains neuron type-specific gene programs to facilitate cellular diversity in the brain.
期刊介绍:
Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority.
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