已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Evaluation of the bilateral cardiac afferent distribution at the spinal and vagal ganglia by retrograde labeling

索马 神经科学 伤害感受器 感觉系统 传入的 分布(数学) 医学 解剖 脊髓 生物 伤害 受体 内科学 数学分析 数学
作者
Tuba Akgül Çağlar,Z.B. Durdu,Mehmet Ugurcan Turhan,Mehmet Yalçın Günal,Mehmet Şerif Aydın,Gürkan Öztürk,Esra Çağavi
出处
期刊:Brain Research [Elsevier BV]
卷期号:1751: 147201-147201 被引量:12
标识
DOI:10.1016/j.brainres.2020.147201
摘要

The identity of sensory neurons innervating the heart tissue and the extent of information reported to the brain via these neurons are poorly understood. In order to evaluate the multidimensional distribution and abundance of the cardiac spinal and vagal afferents, we assessed the retrograde labeling efficiency of various tracers, and mapped the cardiac afferents qualitatively and quantitatively at the bilateral nodose ganglia (NGs) and dorsal root ganglia (DRGs). From the five different retrograde tracers evaluated, Di-8-ANEPPQ yielded reproducibly the highest labeling efficiency of cardiac afferents. We demonstrated specific cardiac afferents at NGs and C4 to T11 DRG segments. Next, the 2D reconstruction of the tissue sections and 3D imaging of the whole NGs and DRGs revealed homogeneous and bilateral distribution of cardiac afferents. The quantitative analyses of the labeled cardiac afferents demonstrated approximately 5–6% of the soma in NGs that were equally distributed bilaterally. The neuronal character of Di-8-ANEPPQ labeled cells were validated by coimmunostaning with pan-neuronal marker Tuj-1. In addition, the cell diameters of labeled cardiac sensory neurons were found smaller than 20 μm, implying the nociceptor phenotype confirmed by co-labeling with TRPV1 and Di-8-ANEPPQ. Importantly, co-labeling with two distinct tracers Di-8-ANEPPQ and WGA-647 demonstrated exclusively the same cardiac afferents in DRGs and NGs, validating our findings. Collectively, our findings revealed the cardiac afferents in NGs bilaterally and DRGs with the highest labeling efficiency reported, spatial distribution and quantitation at both 2D and 3D levels, furthering our understanding of this novel neuron population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
顾矜应助科研通管家采纳,获得10
刚刚
晚霁庭应助科研通管家采纳,获得10
1秒前
丘比特应助科研通管家采纳,获得10
1秒前
Orange应助科研通管家采纳,获得10
1秒前
Owen应助科研通管家采纳,获得10
1秒前
斯文败类应助科研通管家采纳,获得10
1秒前
1秒前
迅速的凡霜完成签到,获得积分10
1秒前
Nia完成签到,获得积分10
2秒前
3秒前
3秒前
Akim应助面包恐龙采纳,获得10
5秒前
badada完成签到 ,获得积分10
6秒前
yu发布了新的文献求助10
7秒前
大个应助孙亚东采纳,获得10
7秒前
翻译度发布了新的文献求助10
8秒前
然年发布了新的文献求助10
8秒前
Akim应助淡然的恶天采纳,获得10
8秒前
科研通AI6.1应助rui采纳,获得10
9秒前
O已w时o完成签到 ,获得积分10
11秒前
11秒前
12秒前
爆米花应助沉静滑板采纳,获得10
12秒前
13秒前
jocelyn发布了新的文献求助10
16秒前
17秒前
CodeCraft应助PG采纳,获得10
19秒前
19秒前
20秒前
陈龙发布了新的文献求助10
20秒前
沉静滑板完成签到,获得积分10
21秒前
21秒前
呆梨医生完成签到,获得积分10
22秒前
22秒前
linnn完成签到,获得积分10
23秒前
Lofee发布了新的文献求助10
23秒前
子非我应助匪石采纳,获得10
24秒前
evans发布了新的文献求助10
25秒前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Ideology and Meaning-Making under the Putin Regime 750
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6846285
求助须知:如何正确求助?哪些是违规求助? 8553667
关于积分的说明 18196116
捐赠科研通 6200379
什么是DOI,文献DOI怎么找? 3042143
关于科研通互助平台的介绍 2034549
邀请新用户注册赠送积分活动 2019616