Suppr超能文献

Characterization of the vestibular and spiral ganglion cell somata of the rat by distribution of neurofilament proteins.

作者信息

Ylikoski J, Pirvola U, Häppölä O

机构信息

Department of Otolaryngology, University of Kuopio, Finland.

出版信息

Acta Otolaryngol Suppl. 1993;503:121-6. doi: 10.3109/00016489309128092.

Abstract

Neurons of the spiral and vestibular ganglia of the adult rat were labelled with a panel of monoclonal and polyclonal antibodies which were raised against different subunits of neurofilament proteins (NFPs). Thirteen antibodies labelled intensely the perikarya of a distinct group of somata in both the spiral and vestibular ganglia while the majority of somata were unreactive or showed a weaker reaction. The distinction between intensely immunostained and other cell somata was more conspicuous in the spiral than in the vestibular ganglia. Intensely stained somata formed a subpopulation comprising about 9% (range from 7.2 to 11.1%) in the spiral and about 32% (range from 21.2 to 36.4%) in the vestibular ganglia of the total ganglion cell population. Antibodies against different subunits of NFPs seemed always to stain the same somata. In morphometric analysis the mean diameters of intensely labelled spiral ganglion cells were clearly smaller (9.9 microns) than those of the slightly reactive cells (11.9 microns). In Scarpa's ganglia the intensely reactive cells were larger in size (mean diameter 21.4 microns) than the slightly reactive cells (mean diameter 14.7 microns). In the spiral ganglia, the intensely labelled group of neurons seems to correspond to the morphologically distinct type II cells which may also functionally differ from type I cells. In Scarpa's ganglia, the intensely stained subgroup of somata may correspond to the large neurons innervating central regions of cristae and maculae. Their functional significance remains to be elucidated.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验