A Vector-Based Method to Analyze the Topography of Glial Networks
| Autor: | Jan J. Hirtz, Sara Eitelmann, Jonathan Stephan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Male connexin Coordinate system neurobiotin Signal Membrane Potentials lcsh:Chemistry chemistry.chemical_compound Mice 0302 clinical medicine LSO Anisotropy lcsh:QH301-705.5 Spectroscopy Physics Orientation (computer vision) Brain General Medicine tracer Computer Science Applications Female Biological system Neuroglia sulforhodamine 101 Models Neurological Biotin anisotropy Catalysis Article Inorganic Chemistry 03 medical and health sciences astrocyte Position (vector) TRACER ddc:570 Animals Physical and Theoretical Chemistry Molecular Biology gap junctions Alexa Fluor lateral superior olive Organic Chemistry Sulforhodamine 101 Mice Inbred C57BL 030104 developmental biology chemistry lcsh:Biology (General) lcsh:QD1-999 030217 neurology & neurosurgery oligodendrocyte |
| Zdroj: | International Journal of Molecular Sciences Volume 20 Issue 11 International Journal of Molecular Sciences, Vol 20, Iss 11, p 2821 (2019) |
| Popis: | Anisotropy of tracer-coupled networks is a hallmark in many brain regions. In the past, the topography of these networks was analyzed using various approaches, which focused on different aspects, e.g., position, tracer signal, or direction of coupled cells. Here, we developed a vector-based method to analyze the extent and preferential direction of tracer spreading. As a model region, we chose the lateral superior olive&mdash a nucleus that exhibits specialized network topography. In acute slices, sulforhodamine 101-positive astrocytes were patch-clamped and dialyzed with the GJ-permeable tracer neurobiotin, which was subsequently labeled with avidin alexa fluor 488. A predetermined threshold was used to differentiate between tracer-coupled and tracer-uncoupled cells. Tracer extent was calculated from the vector means of tracer-coupled cells in four 90° sectors. We then computed the preferential direction using a rotating coordinate system and post hoc fitting of these results with a sinusoidal function. The new method allows for an objective analysis of tracer spreading that provides information about shape and orientation of GJ networks. We expect this approach to become a vital tool for the analysis of coupling anisotropy in many brain regions. |
| Databáze: | OpenAIRE |
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