首页> 外文期刊>Journal of Neuroscience Methods >Catacuzzeno, L.a , Sforna, L.a , D'Adamo, M.C.b , Pessia, M.b , Franciolini, F.a A method to identify tissue cell subpopulations with distinct multi-molecular profiles from data on co-localization of two markers at a time: The case of sensory ganglia
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Catacuzzeno, L.a , Sforna, L.a , D'Adamo, M.C.b , Pessia, M.b , Franciolini, F.a A method to identify tissue cell subpopulations with distinct multi-molecular profiles from data on co-localization of two markers at a time: The case of sensory ganglia

机译:Catacuzzeno,La,Sforna,La,D'Adamo,MCb,Pessia,Mb,Franciolini,Fa一种方法,可从一次同时定位两个标记的数据中识别具有不同多分子谱的组织细胞亚群:感觉神经节

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摘要

Background: Most biological tissues are characterized by high morphological and functional cell heterogeneity. To investigate this heterogeneity at the molecular level, scientists have tried to associate specific sets of molecular markers (molecular profiles) to functionally distinct cell subpopulations, evaluating their expression using immunochemistry and in situ hybridization techniques. New method: We propose here a novel analysis that allows the estimation of the frequency of cells expressing distinct molecular profiles starting from data on the co-expression of two markers at a time. In order to facilitate the application of the proposed analysis, we developed and make available a user-friendly window-based software. Results: We successfully applied the analytical method to experimental data from adult rat sensory neurons. In a first application we subgrouped DRG neurons in 11 subpopulations on the basis of the co-expression of 6 molecular markers (the TRPs type V1, A1, and M8 and the trks type A, B, and C). In a second application we found that while rat DRG have significant frequencies of peptidergic/IB4-negative and non-peptidergic/IB4-positive nociceptors, rat TG neurons lack almost completely these two subpopulations. Comparison with existing methods: The analytical method here proposed overcomes the limitations of the presently available experimental techniques, most of which can assess the co-expression of only few molecular markers at a time. Conclusions: This new method will allow a better understanding of the molecular and cellular heterogeneity of tissues in normal and pathological conditions.
机译:背景:大多数生物组织的特征是高度的形态和功能细胞异质性。为了在分子水平上研究这种异质性,科学家试图将特定的分子标记集(分子谱)与功能不同的细胞亚群相关联,使用免疫化学和原位杂交技术评估它们的表达。新方法:我们在这里提出了一种新颖的分析方法,该方法可以从一次同时表达两个标记的数据开始估算表达不同分子谱的细胞的频率。为了促进所提出的分析的应用,我们开发并提供了一个用户友好的基于窗口的软件。结果:我们成功地将分析方法应用于成年大鼠感觉神经元的实验数据。在第一个应用程序中,我们基于6种分子标记(TRP类型V1,A1和M8以及trks类型A,B和C)的共表达将DRG神经元分为11个亚群。在第二项应用中,我们发现,尽管大鼠DRG具有明显的肽能性/ IB4阴性和非肽能性/ IB4阳性伤害感受器频率,但大鼠TG神经元几乎完全缺少这两个亚群。与现有方法的比较:本文提出的分析方法克服了目前可用的实验技术的局限性,其中大多数技术一次只能评估几种分子标记的共表达。结论:这种新方法将使人们更好地了解正常和病理情况下组织的分子和细胞异质性。

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