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Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra.
Burkert, Nicole; Roy, Shoumik; Häusler, Max; Wuttke, Dominik; Müller, Sonja; Wiemer, Johanna; Hollmann, Helene; Oldrati, Marvin; Ramirez-Franco, Jorge; Benkert, Julia; Fauler, Michael; Duda, Johanna; Goaillard, Jean-Marc; Pötschke, Christina; Münchmeyer, Moritz; Parlato, Rosanna; Liss, Birgit.
Afiliación
  • Burkert N; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Roy S; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany. shoumik.roy@uni-ulm.de.
  • Häusler M; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Wuttke D; Wolution GmbH & Co. KG, 82152, Munich, Germany.
  • Müller S; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Wiemer J; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Hollmann H; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Oldrati M; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Ramirez-Franco J; UMR_S 1072, Aix Marseille Université, INSERM, Faculté de Médecine Secteur Nord, Marseille, France.
  • Benkert J; INT, Aix Marseille Université, CNRS, Campus Santé Timone, Marseille, France.
  • Fauler M; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Duda J; Institute of General Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Goaillard JM; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Pötschke C; UMR_S 1072, Aix Marseille Université, INSERM, Faculté de Médecine Secteur Nord, Marseille, France.
  • Münchmeyer M; INT, Aix Marseille Université, CNRS, Campus Santé Timone, Marseille, France.
  • Parlato R; Institute of Applied Physiology, Medical Faculty, Ulm University, 89081, Ulm, Germany.
  • Liss B; Wolution GmbH & Co. KG, 82152, Munich, Germany.
Commun Biol ; 6(1): 1146, 2023 11 10.
Article en En | MEDLINE | ID: mdl-37950046
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas de Transporte de Dopamina a través de la Membrana Plasmática / Aprendizaje Profundo Límite: Animals / Humans Idioma: En Revista: Commun Biol Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas de Transporte de Dopamina a través de la Membrana Plasmática / Aprendizaje Profundo Límite: Animals / Humans Idioma: En Revista: Commun Biol Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido