Study on the distribution of umami receptors on the tongue and its signal coding logic based on taste bud biosensor

鲜味 品味 味蕾 味觉感受器 代谢型谷氨酸受体 电子舌 受体 舌头 化学 生物化学 生物 谷氨酸受体 医学 病理
作者
Yuxia Fan,Yu-Lin Huang,Ninglong Zhang,Gaole Chen,Shui Jiang,Yin Zhang,Guangchang Pang,Wenli Wang,Yuan Liu
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:197: 113780-113780 被引量:33
标识
DOI:10.1016/j.bios.2021.113780
摘要

Taste signals are uniformly encoded and transmitted to the brain's taste center by taste buds, and the process has not been systematically studied for several decades. The aim of this work was to investigate the distribution of umami receptors on the tongue and its signal coding logic based on the taste bud biosensors. Taste bud biosensors were constructed by immobilizing the taste bud tissues from different tongue regions of the rabbit to the glassy carbon electrode surface; The Shennong information equations were used to analysis the pattern of umami receptors to encode ligands information; The signal amplification capabilities of two types umami receptors (T1R1/T1R3 and mGluRs) were analyzed for the two ligands (L-monosodium glutamate (MSG) and disodium 5'-inosinate (IMP)). The results showed that each taste bud biosensor could sense MSG and IMP with different response currents based on enzyme-substrate kinetics. There was only a small fraction of a great quantity of metabotropic glutamate receptors (mGluRs) could be activated to encode MSG signal. Importantly, T1R1 was more expressed in the rostral tongue cells whose sensitivity to MSG was nearly 100 times stronger than that of caudal tongue cells. The method we proposed made it possible to reveal the distribution and signals coding logic of umami receptors for ligands, which showed great potential to explain the interaction mechanism of umami substances with their receptors more accurately and to develop of artificial intelligent taste sensory.
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
牛宗鹏完成签到,获得积分10
刚刚
看满天星河完成签到 ,获得积分10
1秒前
1秒前
1秒前
1秒前
充电宝应助violetyjm采纳,获得10
2秒前
Hayat应助houfei采纳,获得60
3秒前
3秒前
nnnn发布了新的文献求助10
3秒前
童梦应助现代书雪采纳,获得10
4秒前
Ava应助现代书雪采纳,获得10
4秒前
戴漫发布了新的文献求助10
4秒前
越野发布了新的文献求助30
5秒前
SciGPT应助小刘要加油采纳,获得10
5秒前
5秒前
5秒前
6秒前
7秒前
reborn发布了新的文献求助10
7秒前
ASCC完成签到 ,获得积分10
7秒前
8秒前
manny发布了新的文献求助10
8秒前
houfei完成签到,获得积分10
8秒前
111完成签到,获得积分10
8秒前
8秒前
9秒前
贝尔摩多发布了新的文献求助10
10秒前
咖啡不苦发布了新的文献求助10
10秒前
10秒前
VirgoYn发布了新的文献求助10
13秒前
13秒前
14秒前
14秒前
14秒前
14秒前
高源发布了新的文献求助10
15秒前
15秒前
16秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organic Reactions, Volume 116 1500
VALIDATION OF THE TAYLOR, ALAMEL AND VPSC MODELS FOR PLASTIC ANISOTROPY MODELING OF SHEET METALS 1000
Geist der Kunst und Kultur 1000
Middleton's Allergy Principles and Practice 10th Edition(Middleton's Allergy 2-Volume Set, 10th Edition) 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7403089
求助须知:如何正确求助?哪些是违规求助? 9007636
关于积分的说明 19179668
捐赠科研通 7036677
什么是DOI,文献DOI怎么找? 3231528
关于科研通互助平台的介绍 2393752
邀请新用户注册赠送积分活动 2213221