Human assembloid model of the ascending neural sensory pathway

感觉系统 神经科学 计算机科学 心理学 认知科学
作者
Ji‐il Kim,Kent Imaizumi,Mayuri Vijay Thete,Zuzana Hudáčová,Ovidiu F. Jurjuţ,Neal D. Amin,Grégory Scherrer,Sergiu P. Pașca
标识
DOI:10.1101/2024.03.11.584539
摘要

Abstract The ascending somatosensory pathways convey crucial information about pain, touch, itch, and body part movement from peripheral organs to the central nervous system. Despite a significant need for effective therapeutics modulating pain and other somatosensory modalities, clinical translation remains challenging, which is likely related to species-specific features and the lack of in vitro models to directly probe and manipulate this polysynaptic pathway. Here, we established human ascending somatosensory assembloids (hASA)– a four-part assembloid completely generated from human pluripotent stem cells that integrates somatosensory, spinal, diencephalic, and cortical organoids to model the human ascending spinothalamic pathway. Transcriptomic profiling confirmed the presence of key cell types in this circuit. Rabies tracing and calcium imaging showed that sensory neurons connected with dorsal spinal cord projection neurons, which ascending axons further connected to thalamic neurons. Following noxious chemical stimulation, single neuron calcium imaging of intact hASA demonstrated coordinated response, while four-part concomitant extracellular recordings and calcium imaging revealed synchronized activity across the assembloid. Loss of the sodium channel SCN9A, which causes pain insensitivity in humans, disrupted synchrony across the four-part hASA. Taken together, these experiments demonstrate the ability to functionally assemble the essential components of the human sensory pathway. These findings could both accelerate our understanding of human sensory circuits and facilitate therapeutic development.
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
CodeCraft应助jia采纳,获得10
刚刚
刚刚
标致的问晴完成签到,获得积分10
刚刚
lo发布了新的文献求助10
2秒前
思源应助谦让傲菡采纳,获得10
4秒前
AXLL完成签到 ,获得积分10
7秒前
xiayu给xiayu的求助进行了留言
8秒前
高坚果发布了新的文献求助10
8秒前
9秒前
10秒前
orixero应助WSZXQ采纳,获得10
11秒前
11秒前
11秒前
施中明完成签到,获得积分20
13秒前
脑洞疼应助犹豫芷巧采纳,获得10
13秒前
科研通AI5应助霸气谷雪采纳,获得10
13秒前
13秒前
不得不爱完成签到,获得积分20
14秒前
14秒前
急急急完成签到,获得积分10
14秒前
guoweismmu发布了新的文献求助10
15秒前
啾啾发布了新的文献求助10
15秒前
谦让傲菡发布了新的文献求助10
16秒前
鼠鼠完成签到,获得积分10
19秒前
亮197发布了新的文献求助10
20秒前
21秒前
22秒前
22秒前
22秒前
zhzike完成签到,获得积分20
24秒前
犹豫芷巧发布了新的文献求助10
26秒前
WSZXQ发布了新的文献求助10
26秒前
wtn完成签到,获得积分10
26秒前
26秒前
jia发布了新的文献求助10
27秒前
27秒前
小栗完成签到,获得积分10
28秒前
可爱玫瑰完成签到,获得积分10
30秒前
31秒前
joker_k应助小栗采纳,获得10
32秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740433
求助须知:如何正确求助?哪些是违规求助? 3283239
关于积分的说明 10034574
捐赠科研通 3000123
什么是DOI,文献DOI怎么找? 1646389
邀请新用户注册赠送积分活动 783518
科研通“疑难数据库(出版商)”最低求助积分说明 750394