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Spatial atlas of the mouse central nervous system at molecular resolution.
Shi, Hailing; He, Yichun; Zhou, Yiming; Huang, Jiahao; Maher, Kamal; Wang, Brandon; Tang, Zefang; Luo, Shuchen; Tan, Peng; Wu, Morgan; Lin, Zuwan; Ren, Jingyi; Thapa, Yaman; Tang, Xin; Chan, Ken Y; Deverman, Benjamin E; Shen, Hao; Liu, Albert; Liu, Jia; Wang, Xiao.
Afiliação
  • Shi H; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • He Y; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Zhou Y; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Huang J; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
  • Maher K; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Wang B; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Tang Z; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Luo S; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Tan P; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Wu M; Computational and Systems Biology PhD Program, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Lin Z; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Ren J; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Thapa Y; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Tang X; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Chan KY; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Deverman BE; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Shen H; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Liu A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Liu J; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Wang X; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nature ; 622(7983): 552-561, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37758947
ABSTRACT
Spatially charting molecular cell types at single-cell resolution across the 3D volume is critical for illustrating the molecular basis of brain anatomy and functions. Single-cell RNA sequencing has profiled molecular cell types in the mouse brain1,2, but cannot capture their spatial organization. Here we used an in situ sequencing method, STARmap PLUS3,4, to profile 1,022 genes in 3D at a voxel size of 194 × 194 × 345 nm3, mapping 1.09 million high-quality cells across the adult mouse brain and spinal cord. We developed computational pipelines to segment, cluster and annotate 230 molecular cell types by single-cell gene expression and 106 molecular tissue regions by spatial niche gene expression. Joint analysis of molecular cell types and molecular tissue regions enabled a systematic molecular spatial cell-type nomenclature and identification of tissue architectures that were undefined in established brain anatomy. To create a transcriptome-wide spatial atlas, we integrated STARmap PLUS measurements with a published single-cell RNA-sequencing atlas1, imputing single-cell expression profiles of 11,844 genes. Finally, we delineated viral tropisms of a brain-wide transgene delivery tool, AAV-PHP.eB5,6. Together, this annotated dataset provides a single-cell resource that integrates the molecular spatial atlas, brain anatomy and the accessibility to genetic manipulation of the mammalian central nervous system.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema Nervoso Central / Imageamento Tridimensional / Análise de Célula Única / Transcriptoma Limite: Animals Idioma: En Revista: Nature Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistema Nervoso Central / Imageamento Tridimensional / Análise de Célula Única / Transcriptoma Limite: Animals Idioma: En Revista: Nature Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos