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Astrocytes are the most abundant glial cells in the central nervous system (CNS). They play roles in ion homeostasis, blood flow regulation, synapse formation as well as elimination, and neurotransmitter uptake1. The wide range of astrocyte functions is reflected in their complex morphological structure2,3. Astrocytes contain several primary and secondary branches which divide into thousands of finer branchlets and leaflets that directly interact with synapses, dendrites, axons, blood vessels, and other glial cells. Astrocyte morphology varies across different brain regions, which may hint at their ability to perform their functions differentially in neuronal circuits4. Moreover, astrocytes are known to alter their morphology during development, during physiological conditions, and in multiple disease states3,5,6.
A consistent, reproducible method is needed to accurately resolve the complexity of astrocyte morphology. Traditionally, immunohistochemistry has been used to visualize astrocytes with the use of astrocyte specific or astrocyte enriched protein markers. However, these methods reveal the pattern of protein expression rather than the structure of the astrocyte. The commonly used markers, such as glial fibrillary acidic protein (GFAP) and S100 calcium binding protein β (S100β), do not express in the entire cell volume and thus do not resolve complete morphology7. Genetic approaches to express fluorescent proteins ubiquitously in astrocytes (viral injections or transgenic mouse reporter lines) can identify the finer branches and overall territory. However, it is difficult to differentiate individual astrocytes, and analyses may be biased by the astrocyte population targeted by the specific promoter8. Serial section electron microscopy has been used to reveal a detailed picture of the interactions of astrocyte processes with synapses. Due to the thousands of astrocyte processes contacting synapses, it is currently not possible to reconstruct an entire cell with this technique9, although this is expected to change with the use of machine learning approaches for data analysis.
In this report, we focus on a procedure to characterize mouse astrocytes using intracellular iontophoresis with Lucifer yellow (LY) dye, using the CA1 stratum radiatum as an example. The method is based on pioneering past work by Eric Bushong and Mark Ellisman10,11. Astrocytes from lightly fixed brain slices are identified by their distinctive soma shape and filled with LY. The cells are then imaged with confocal microscopy. We demonstrate how LY iontophoresis can be used to reconstruct individual astrocytes and perform detailed morphological analyses of their processes and territory. Also, this method can be applied in conjunction with immunohistochemistry to identify spatial relationships and interactions between astrocytes and neurons, other glial cells, and brain vasculature. We consider LY iontophoresis to be a very suitable tool to analyze morphology in different brain regions and mouse models of healthy or disease conditions7,12,13.