دورية أكاديمية
Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis.
العنوان: | Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis. |
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المؤلفون: | O'Hara DM; Krembil Research Institute, Toronto Western Hospital, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto; darren.ohara@uhnresearch.ca., Kapadia M; Krembil Research Institute, Toronto Western Hospital, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto., Ping S; Krembil Research Institute, Toronto Western Hospital, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto., Kalia SK; Krembil Research Institute, Toronto Western Hospital, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto; Department of Surgery, Division of Neurosurgery, University of Toronto., Kalia LV; Krembil Research Institute, Toronto Western Hospital, University Health Network; Department of Laboratory Medicine and Pathobiology, University of Toronto; Department of Medicine, Division of Neurology, University of Toronto; Department of Medicine, Division of Neurology, Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto. |
المصدر: | Journal of visualized experiments : JoVE [J Vis Exp] 2021 Feb 02 (168). Date of Electronic Publication: 2021 Feb 02. |
نوع المنشور: | Journal Article; Video-Audio Media |
اللغة: | English |
بيانات الدورية: | Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]- |
مواضيع طبية MeSH: | Dopaminergic Neurons/*cytology , Image Processing, Computer-Assisted/*methods , Immunohistochemistry/*methods , Substantia Nigra/*cytology , Tyrosine 3-Monooxygenase/*metabolism , alpha-Synuclein/*metabolism, Animals ; Dopaminergic Neurons/metabolism ; Female ; Rats ; Rats, Sprague-Dawley ; Substantia Nigra/metabolism |
مستخلص: | Estimation of the number of dopaminergic neurons in the substantia nigra is a key method in pre-clinical Parkinson's disease research. Currently, unbiased stereological counting is the standard for quantification of these cells, but it remains a laborious and time-consuming process, which may not be feasible for all projects. Here, we describe the use of an image analysis platform, which can accurately estimate the quantity of labeled cells in a pre-defined region of interest. We describe a step-by-step protocol for this method of analysis in rat brain and demonstrate it can identify a significant reduction in tyrosine hydroxylase positive neurons due to expression of mutant α-synuclein in the substantia nigra. We validated this methodology by comparing with results obtained by unbiased stereology. Taken together, this method provides a time-efficient and accurate process for detecting changes in dopaminergic neuron number, and thus is suitable for efficient determination of the effect of interventions on cell survival. |
المشرفين على المادة: | 0 (alpha-Synuclein) EC 1.14.16.2 (Tyrosine 3-Monooxygenase) |
تواريخ الأحداث: | Date Created: 20210222 Date Completed: 20210322 Latest Revision: 20210322 |
رمز التحديث: | 20231215 |
DOI: | 10.3791/62062 |
PMID: | 33616088 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1940-087X |
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DOI: | 10.3791/62062 |