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Phenotype overlap in glial cell populations: astroglia, oligodendroglia and NG-2(+) cells

Overview of attention for article published in Frontiers in Neuroanatomy, May 2015
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Title
Phenotype overlap in glial cell populations: astroglia, oligodendroglia and NG-2(+) cells
Published in
Frontiers in Neuroanatomy, May 2015
DOI 10.3389/fnana.2015.00049
Pubmed ID
Authors

Badrah Alghamdi, Robert Fern

Abstract

The extent to which NG-2(+) cells form a distinct population separate from astrocytes is central to understanding whether this important cell class is wholly an oligodendrocyte precursor cell (OPC) or has additional functions akin to those classically ascribed to astrocytes. Early immuno-staining studies indicate that NG-2(+) cells do not express the astrocyte marker GFAP, but orthogonal reconstructions of double-labeled confocal image stacks here reveal a significant degree of co-expression in individual cells within post-natal day 10 (P10) and adult rat optic nerve (RON) and rat cortex. Extensive scanning of various antibody/fixation/embedding approaches identified a protocol for selective post-embedded immuno-gold labeling. This first ultrastructural characterization of identified NG-2(+) cells revealed populations of both OPCs and astrocytes in P10 RON. NG-2(+) astrocytes had classic features including the presence of glial filaments but low levels of glial filament expression were also found in OPCs and myelinating oligodendrocytes. P0 RONs contained few OPCs but positively identified astrocytes were observed to ensheath pre-myelinated axons in a fashion previously described as a definitive marker of the oligodendrocyte lineage. Astrocyte ensheathment was also apparent in P10 RONs, was absent from developing nodes of Ranvier and was never associated with compact myelin. Astrocyte processes were also shown to encapsulate some oligodendrocyte somata. The data indicate that common criteria for delineating astrocytes and oligodendroglia are insufficiently robust and that astrocyte features ascribed to OPCs may arise from misidentification.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Czechia 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 7 20%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Professor 2 6%
Other 6 17%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Neuroscience 9 26%
Medicine and Dentistry 2 6%
Linguistics 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 8 23%