Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra - Aix-Marseille Université
Journal Articles Communications Biology Year : 2023

Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra

Nicole Burkert
  • Function : Author
Shoumik Roy
Max Häusler
  • Function : Author
Dominik Wuttke
  • Function : Author
Sonja Müller
  • Function : Author
Johanna Wiemer
  • Function : Author
Helene Hollmann
  • Function : Author
Marvin Oldrati
  • Function : Author
Julia Benkert
  • Function : Author
Michael Fauler
  • Function : Author
Johanna Duda
  • Function : Author
Christina Pötschke
  • Function : Author
Moritz Münchmeyer
  • Function : Author
Rosanna Parlato
  • Function : Author
Birgit Liss

Abstract

Abstract Here we present a deep learning-based image analysis platform (DLAP), tailored to autonomously quantify cell numbers, and fluorescence signals within cellular compartments, derived from RNAscope or immunohistochemistry. We utilised DLAP to analyse subtypes of tyrosine hydroxylase (TH)-positive dopaminergic midbrain neurons in mouse and human brain-sections. These neurons modulate complex behaviour, and are differentially affected in Parkinson’s and other diseases. DLAP allows the analysis of large cell numbers, and facilitates the identification of small cellular subpopulations. Using DLAP, we identified a small subpopulation of TH-positive neurons (~5%), mainly located in the very lateral Substantia nigra (SN), that was immunofluorescence-negative for the plasmalemmal dopamine transporter (DAT), with ~40% smaller cell bodies. These neurons were negative for aldehyde dehydrogenase 1A1, with a lower co-expression rate for dopamine-D2-autoreceptors, but a ~7-fold higher likelihood of calbindin-d28k co-expression (~70%). These results have important implications, as DAT is crucial for dopamine signalling, and is commonly used as a marker for dopaminergic SN neurons.
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Dates and versions

hal-04302548 , version 1 (23-11-2023)

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Nicole Burkert, Shoumik Roy, Max Häusler, Dominik Wuttke, Sonja Müller, et al.. Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra. Communications Biology, 2023, 6 (1), pp.1146. ⟨10.1038/s42003-023-05441-6⟩. ⟨hal-04302548⟩
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