Hedgehog signalling: how to get from Smo to Ci and Gli

平滑 刺猬 刺猬信号通路 生物 信号 细胞生物学 修补 信号转导
作者
Torben Østerlund,Priit Kogerman
出处
期刊:Trends in Cell Biology [Elsevier BV]
卷期号:16 (4): 176-180 被引量:121
标识
DOI:10.1016/j.tcb.2006.02.004
摘要

The secreted morphogens of the Hedgehog family have important roles in normal development as well as in associated pathologies, including cancer. The Hedgehog signalling pathway has been studied in Drosophila and is thought to be conserved in vertebrates. Hedgehog elicits a signalling response that activates Smoothened (Smo). There is evidence of differences between Drosophila and vertebrates concerning signalling downstream of Smo, as well as in Smo itself. Here, we discuss this evidence and its importance for investigations of the pathway and related biology, as well as for the development of drugs targeting components of the pathway for treatment of associated pathologies. The secreted morphogens of the Hedgehog family have important roles in normal development as well as in associated pathologies, including cancer. The Hedgehog signalling pathway has been studied in Drosophila and is thought to be conserved in vertebrates. Hedgehog elicits a signalling response that activates Smoothened (Smo). There is evidence of differences between Drosophila and vertebrates concerning signalling downstream of Smo, as well as in Smo itself. Here, we discuss this evidence and its importance for investigations of the pathway and related biology, as well as for the development of drugs targeting components of the pathway for treatment of associated pathologies.

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
草莓大王完成签到,获得积分10
1秒前
八笔完成签到,获得积分10
1秒前
2秒前
CipherSage应助tyc采纳,获得10
2秒前
Ma完成签到,获得积分10
3秒前
3秒前
VESong发布了新的文献求助10
3秒前
李健的小迷弟应助旷意采纳,获得10
4秒前
Cinderella完成签到 ,获得积分10
4秒前
周鑫发布了新的文献求助10
5秒前
5秒前
云贝发布了新的文献求助10
5秒前
5秒前
111发布了新的文献求助10
5秒前
6秒前
6秒前
ZC发布了新的文献求助10
6秒前
6秒前
Freedom完成签到 ,获得积分10
6秒前
7秒前
two_dog发布了新的文献求助10
7秒前
VESong发布了新的文献求助10
7秒前
Kao应助stupid采纳,获得10
8秒前
8秒前
9秒前
科研通AI2S应助Ma采纳,获得10
9秒前
nnnn发布了新的文献求助10
10秒前
科研通AI2S应助文艺的映萱采纳,获得10
10秒前
老福贵儿应助朴实的薯片采纳,获得10
11秒前
隐形曼青应助朴实的薯片采纳,获得30
11秒前
shanshui应助朴实的薯片采纳,获得30
11秒前
11秒前
dm11发布了新的文献求助10
11秒前
12秒前
12秒前
稍息门牙发布了新的文献求助20
12秒前
乐人完成签到 ,获得积分10
13秒前
旷意发布了新的文献求助10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7583250
求助须知:如何正确求助?哪些是违规求助? 9161970
关于积分的说明 19605650
捐赠科研通 7165315
什么是DOI,文献DOI怎么找? 3266226
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257588