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Bioluminescent imaging of Ca2+ activity reveals spatiotemporal dynamics in glial networks of dark-adapted mouse retina
Glial Ca 2+ excitability plays a key role in reciprocal neuronâglia communication. In the retina, neuronâglia signalling is expected to be maximal in the dark, but the glial Ca 2+ signal characteristics under such conditions have not been evaluated. To address this question, we used bioluminesce...
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Published in: | The Journal of physiology 2007-09, Vol.583 (3), p.945-958 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Glial Ca 2+ excitability plays a key role in reciprocal neuronâglia communication. In the retina, neuronâglia signalling is expected
to be maximal in the dark, but the glial Ca 2+ signal characteristics under such conditions have not been evaluated. To address this question, we used bioluminescence imaging
to monitor spontaneous Ca 2+ changes under dark conditions selectively in Müller cells, the principal retinal glial cells. By combining this imaging approach
with network analysis, we demonstrate that activity in Müller cells is organized in networks of coactive cells, involving
2â16 cells located distantly and/or in clusters. We also report that spontaneous activity of small networks (2â6 Müller cells)
repeat over time, sometimes in the same sequential order, revealing specific temporal dynamics. In addition, we show that
networks of coactive glial cells are inhibited by TTX, indicating that ganglion and/or amacrine neuronal cells probably regulate
Müller cell network properties. These results represent the first demonstration that spontaneous activity in adult Müller
cells is patterned into correlated networks that display repeated sequences of coactivations over time. Furthermore, our bioluminescence
technique provides a novel tool to study the dynamic characteristics of glial Ca 2+ events in the retina under dark conditions, which should greatly facilitate future investigations of retinal dark-adaptive
processes. |
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ISSN: | 0022-3751 1469-7793 |
DOI: | 10.1113/jphysiol.2007.135715 |