دورية أكاديمية

Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis.

التفاصيل البيبلوغرافية
العنوان: Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis.
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
الوصف
تدمد:1940-087X
DOI:10.3791/62062