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Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain.
Liu, Hanqing; Zeng, Qiurui; Zhou, Jingtian; Bartlett, Anna; Wang, Bang-An; Berube, Peter; Tian, Wei; Kenworthy, Mia; Altshul, Jordan; Nery, Joseph R; Chen, Huaming; Castanon, Rosa G; Zu, Songpeng; Li, Yang Eric; Lucero, Jacinta; Osteen, Julia K; Pinto-Duarte, Antonio; Lee, Jasper; Rink, Jon; Cho, Silvia; Emerson, Nora; Nunn, Michael; O'Connor, Carolyn; Wu, Zhanghao; Stoica, Ion; Yao, Zizhen; Smith, Kimberly A; Tasic, Bosiljka; Luo, Chongyuan; Dixon, Jesse R; Zeng, Hongkui; Ren, Bing; Behrens, M Margarita; Ecker, Joseph R.
Afiliación
  • Liu H; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Zeng Q; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Zhou J; Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.
  • Bartlett A; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Wang BA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA.
  • Berube P; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Tian W; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Kenworthy M; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Altshul J; Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.
  • Nery JR; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Chen H; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Castanon RG; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Zu S; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Li YE; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Lucero J; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Osteen JK; Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
  • Pinto-Duarte A; Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
  • Lee J; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Rink J; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Cho S; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Emerson N; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Nunn M; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • O'Connor C; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Wu Z; Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Stoica I; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Yao Z; Flow Cytometry Core Facility, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Smith KA; Sky Computing Lab, University of California, Berkeley, Berkeley, CA, USA.
  • Tasic B; Sky Computing Lab, University of California, Berkeley, Berkeley, CA, USA.
  • Luo C; Allen Institute for Brain Science, Seattle, WA, USA.
  • Dixon JR; Allen Institute for Brain Science, Seattle, WA, USA.
  • Zeng H; Allen Institute for Brain Science, Seattle, WA, USA.
  • Ren B; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
  • Behrens MM; Peptide Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
  • Ecker JR; Allen Institute for Brain Science, Seattle, WA, USA.
Nature ; 624(7991): 366-377, 2023 Dec.
Article en En | MEDLINE | ID: mdl-38092913
ABSTRACT
Cytosine DNA methylation is essential in brain development and is implicated in various neurological disorders. Understanding DNA methylation diversity across the entire brain in a spatial context is fundamental for a complete molecular atlas of brain cell types and their gene regulatory landscapes. Here we used single-nucleus methylome sequencing (snmC-seq3) and multi-omic sequencing (snm3C-seq)1 technologies to generate 301,626 methylomes and 176,003 chromatin conformation-methylome joint profiles from 117 dissected regions throughout the adult mouse brain. Using iterative clustering and integrating with companion whole-brain transcriptome and chromatin accessibility datasets, we constructed a methylation-based cell taxonomy with 4,673 cell groups and 274 cross-modality-annotated subclasses. We identified 2.6 million differentially methylated regions across the genome that represent potential gene regulation elements. Notably, we observed spatial cytosine methylation patterns on both genes and regulatory elements in cell types within and across brain regions. Brain-wide spatial transcriptomics data validated the association of spatial epigenetic diversity with transcription and improved the anatomical mapping of our epigenetic datasets. Furthermore, chromatin conformation diversities occurred in important neuronal genes and were highly associated with DNA methylation and transcription changes. Brain-wide cell-type comparisons enabled the construction of regulatory networks that incorporate transcription factors, regulatory elements and their potential downstream gene targets. Finally, intragenic DNA methylation and chromatin conformation patterns predicted alternative gene isoform expression observed in a whole-brain SMART-seq2 dataset. Our study establishes a brain-wide, single-cell DNA methylome and 3D multi-omic atlas and provides a valuable resource for comprehending the cellular-spatial and regulatory genome diversity of the mouse brain.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Metilación de ADN / Análisis de la Célula Individual / Epigenoma / Multiómica Límite: Animals Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Metilación de ADN / Análisis de la Célula Individual / Epigenoma / Multiómica Límite: Animals Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos