Mesoscopic analysis of GABAergic marker distribution in cholinergic neurons in the mouse brain: Analyzed data

[ BIL ID: ace-owl-cot ]

Dataset Citation:

Goral, Rene Oliver, Roy, Snehashis, Goral, Rene Oliver. (2025). Mesoscopic analysis of GABAergic marker distribution in cholinergic neurons in the mouse brain: Analyzed data [Dataset/Microscopy]. Brain Image Library.

 

Abstract:

This project explores the distribution of acetylcholine (ACh) neurons which co-express GABAergic markers in the mouse brain. GABAergic marker co-expression may explain which cholinergic neuron populations have the potential to co-transmit the neurotransmitter GABA at cholinergic synapses. ACh/GABA co-transmission has been previously reported as contributor to neural circuit function in health and disease. However, the role and location of GABA co-transmission from ACh neurons remains unclear. Using transgenic animal models in combination with tissue clearing and light-sheet microscopy, we investigated which ACh neurons are GABA co-positive. With this approach, we assessed the role of GABA co-transmission in ACh neuron function and quantified ACh and ACh/GABA neuron sub-populations in the brain. Our results suggest that GABA co-transmission from ACh neurons is dispensable to maintain a physiologic ACh neuron count in the brain. Furthermore, we report that a large subset of ACh neurons were or can synthesize GABA and, therefore, have a partial GABAergic fate. However, most of these ACh neurons lack another GABAergic marker which would enable these neurons to release GABA. Taken together, we conclude that GABA co-transmission likely occurs only from a small population of ACh neurons restricted to few brain nuclei.

 

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Technical Information:

population imaging (Modality) / other (Technique)

All files are accessible through open-source software, such as FIJI. Many files require a powerful computer to efficiently work with the data.The data is organized by experimental group. All samples exist as duplicates due to the separation of left and right illumination sites.Every sample folder contains these components:- Folder "_masked": stiched down-sampled (2x2 or 3x3) image series with second partial brain hemisphere removed- Folder "_FRST": image series of cell segmentation- Folder "_FRST_seg": image series of cell segmentation results at various thresholds- Folder "atlaslabel_": image series of registration to the Allen Brain Atlas v2How to use:Use "File>Import>Image Sequence...> and choose first file in the folder of interestWhen prompted for further import parameters, choose "Virtual Stack" to reduce initial loading timeYou can open several image sequences in parallel to compare different aspects of the post-processed dataset.To ensure easy comparison, synchronize the image series using "Analyze>Tools>Synchronize Windows".Check "Image scaling" in synchronization options for easy comparison between images.Most images need to be adjusted for brightness and contrast to ensure visibility of image features.This is achieved through "Image>Adjust>Brightness/Contrast" using the auto function.Brain atlas registration images need to be re-colored to ensure color coding by brain region using "LUT>glasbey" or "LUT>glasbey_inverted".

 

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