A simple and fast densitometric method for the analysis of tyrosine hydroxylase immunoreactivity in the substantia nigra pars compacta and in the ventral tegmental area

Brain research. Brain research protocols Pub Date : 2005-12-01 DOI:10.1016/j.brainresprot.2005.10.002

Léder Leal Xavier , Giordano Gubert Viola , Anete Curte Ferraz , Claudio Da Cunha , Janyana Marcela Doro Deonizio , Carlos Alexandre Netto , Matilde Achaval

{"title":"A simple and fast densitometric method for the analysis of tyrosine hydroxylase immunoreactivity in the substantia nigra pars compacta and in the ventral tegmental area","authors":"Léder Leal Xavier , Giordano Gubert Viola , Anete Curte Ferraz , Claudio Da Cunha , Janyana Marcela Doro Deonizio , Carlos Alexandre Netto , Matilde Achaval","doi":"10.1016/j.brainresprot.2005.10.002","DOIUrl":null,"url":null,"abstract":"<div>Parkinson's disease is a progressive dyskinetic disorder caused by degeneration of mesencephalic dopaminergic neurons in the substantia nigra pars compacta (SNpc) and, to a lesser extent, in the ventral tegmental area (VTA). Tyrosine hydroxylase (TH) is a rate-limiting enzyme for dopamine synthesis, therefore immunohistochemistry for TH can be used as an important marker of dopaminergic cell loss in these regions. Traditionally, immunohistochemical experiments are analyzed qualitatively by optical microscopic observation or more rarely semi-quantitatively evaluated by densitometry. A common problem with such papers is the lack of a clear explanation of the algorithms and macros employed in the semi-quantitative approaches. In this paper, we describe, in detail, an easy, fast and precise protocol for the analysis of TH immunoreactivity in SNpc and VTA using one of the most popular image analysis software packages (Image Pro-Plus). We believe that this protocol will facilitate the evaluation of mesencephalic TH immunoreactivity in various available animal models of Parkinson's disease.</div>","PeriodicalId":79477,"journal":{"name":"Brain research. Brain research protocols","volume":"16 1","pages":"Pages 58-64"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.brainresprot.2005.10.002","citationCount":"166","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain research. Brain research protocols","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1385299X05000899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 166

Abstract

Parkinson's disease is a progressive dyskinetic disorder caused by degeneration of mesencephalic dopaminergic neurons in the substantia nigra pars compacta (SNpc) and, to a lesser extent, in the ventral tegmental area (VTA). Tyrosine hydroxylase (TH) is a rate-limiting enzyme for dopamine synthesis, therefore immunohistochemistry for TH can be used as an important marker of dopaminergic cell loss in these regions. Traditionally, immunohistochemical experiments are analyzed qualitatively by optical microscopic observation or more rarely semi-quantitatively evaluated by densitometry. A common problem with such papers is the lack of a clear explanation of the algorithms and macros employed in the semi-quantitative approaches. In this paper, we describe, in detail, an easy, fast and precise protocol for the analysis of TH immunoreactivity in SNpc and VTA using one of the most popular image analysis software packages (Image Pro-Plus). We believe that this protocol will facilitate the evaluation of mesencephalic TH immunoreactivity in various available animal models of Parkinson's disease.

查看原文本刊更多论文

一种简单、快速的密度法分析黑质致密部和腹侧被盖区酪氨酸羟化酶免疫反应性

帕金森病是一种进行性运动障碍，由黑质致密部(SNpc)和腹侧被盖区(VTA)中脑多巴胺能神经元退行性变引起。酪氨酸羟化酶(Tyrosine hydroxylase, TH)是多巴胺合成的限速酶，因此TH的免疫组化可以作为这些区域多巴胺能细胞损失的重要标志。传统上，免疫组织化学实验是通过光学显微镜观察进行定性分析，或者更罕见的是通过密度测定进行半定量评估。这类论文的一个共同问题是缺乏对半定量方法中使用的算法和宏的清晰解释。在本文中，我们详细描述了使用最流行的图像分析软件包之一(image Pro-Plus)分析SNpc和VTA中TH免疫反应性的简单，快速和精确的方案。我们相信该方案将有助于在各种可用的帕金森病动物模型中评估中脑TH免疫反应性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Brain research. Brain research protocols

自引率

0.00%

发文量