Léder Leal Xavier , Giordano Gubert Viola , Anete Curte Ferraz , Claudio Da Cunha , Janyana Marcela Doro Deonizio , Carlos Alexandre Netto , Matilde Achaval
{"title":"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","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><p><span><span>Parkinson's disease is a progressive dyskinetic disorder caused by degeneration of mesencephalic </span>dopaminergic neurons in the </span>substantia nigra pars compacta<span> (SNpc) and, to a lesser extent, in the ventral tegmental area (VTA). Tyrosine hydroxylase<span> (TH) is a rate-limiting enzyme for dopamine synthesis, therefore immunohistochemistry<span> 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.</span></span></span></p></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":"{\"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><p><span><span>Parkinson's disease is a progressive dyskinetic disorder caused by degeneration of mesencephalic </span>dopaminergic neurons in the </span>substantia nigra pars compacta<span> (SNpc) and, to a lesser extent, in the ventral tegmental area (VTA). Tyrosine hydroxylase<span> (TH) is a rate-limiting enzyme for dopamine synthesis, therefore immunohistochemistry<span> 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.</span></span></span></p></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}","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}
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
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.