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A competitive advantage by neonatally engrafted human glial progenitors yields mice whose brains are chimeric for human glia.

The Journal of neuroscience : the official journal of the Society for Neuroscience | 2014

Neonatally transplanted human glial progenitor cells (hGPCs) densely engraft and myelinate the hypomyelinated shiverer mouse. We found that, in hGPC-xenografted mice, the human donor cells continue to expand throughout the forebrain, systematically replacing the host murine glia. The differentiation of the donor cells is influenced by the host environment, such that more donor cells differentiated as oligodendrocytes in the hypomyelinated shiverer brain than in myelin wild-types, in which hGPCs were more likely to remain as progenitors. Yet in each recipient, both the number and relative proportion of mouse GPCs fell as a function of time, concomitant with the mitotic expansion and spread of donor hGPCs. By a year after neonatal xenograft, the forebrain GPC populations of implanted mice were largely, and often entirely, of human origin. Thus, neonatally implanted hGPCs outcompeted and ultimately replaced the host population of mouse GPCs, ultimately generating mice with a humanized glial progenitor population. These human glial chimeric mice should permit us to define the specific contributions of glia to a broad variety of neurological disorders, using human cells in vivo.

Pubmed ID: 25429155 RIS Download

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Associated grants

  • Agency: NIMH NIH HHS, United States
    Id: R01MH104701
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH104701
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS075345
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH099578
  • Agency: NIMH NIH HHS, United States
    Id: R01MH099578-01
  • Agency: NINDS NIH HHS, United States
    Id: R01NS75345

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RRID:SCR_005012

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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