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Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics.
Ratz, Michael; von Berlin, Leonie; Larsson, Ludvig; Martin, Marcel; Westholm, Jakub Orzechowski; La Manno, Gioele; Lundeberg, Joakim; Frisén, Jonas.
Afiliación
  • Ratz M; Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden.
  • von Berlin L; Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden.
  • Larsson L; Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Martin M; Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden.
  • Westholm JO; Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden.
  • La Manno G; Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden.
  • Lundeberg J; Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland.
  • Frisén J; Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.
Nat Neurosci ; 25(3): 285-294, 2022 03.
Article en En | MEDLINE | ID: mdl-35210624
ABSTRACT
The mammalian brain contains many specialized cells that develop from a thin sheet of neuroepithelial progenitor cells. Single-cell transcriptomics revealed hundreds of molecularly diverse cell types in the nervous system, but the lineage relationships between mature cell types and progenitor cells are not well understood. Here we show in vivo barcoding of early progenitors to simultaneously profile cell phenotypes and clonal relations in the mouse brain using single-cell and spatial transcriptomics. By reconstructing thousands of clones, we discovered fate-restricted progenitor cells in the mouse hippocampal neuroepithelium and show that microglia are derived from few primitive myeloid precursors that massively expand to generate widely dispersed progeny. We combined spatial transcriptomics with clonal barcoding and disentangled migration patterns of clonally related cells in densely labeled tissue sections. Our approach enables high-throughput dense reconstruction of cell phenotypes and clonal relations at the single-cell and tissue level in individual animals and provides an integrated approach for understanding tissue architecture.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Células Madre / Transcriptoma Idioma: En Revista: Nat Neurosci Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Células Madre / Transcriptoma Idioma: En Revista: Nat Neurosci Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article