Metal Ion Signaling in Biomedicine

化学 生物医学 纳米技术 金属 有机化学 生物信息学 材料科学 生物
作者
Raphaël Rodriguez,Sebastian Müller,Ludovic Colombeau,Stéphanie Solier,Fabien Sindikubwabo,Tatiana Cañeque
出处
期刊:Chemical Reviews [American Chemical Society]
标识
DOI:10.1021/acs.chemrev.4c00577
摘要

Complex multicellular organisms are composed of distinct tissues involving specialized cells that can perform specific functions, making such life forms possible. Species are defined by their genomes, and differences between individuals within a given species directly result from variations in their genetic codes. While genetic alterations can give rise to disease-causing acquisitions of distinct cell identities, it is now well-established that biochemical imbalances within a cell can also lead to cellular dysfunction and diseases. Specifically, nongenetic chemical events orchestrate cell metabolism and transcriptional programs that govern functional cell identity. Thus, imbalances in cell signaling, which broadly defines the conversion of extracellular signals into intracellular biochemical changes, can also contribute to the acquisition of diseased cell states. Metal ions exhibit unique chemical properties that can be exploited by the cell. For instance, metal ions maintain the ionic balance within the cell, coordinate amino acid residues or nucleobases altering folding and function of biomolecules, or directly catalyze specific chemical reactions. Thus, metals are essential cell signaling effectors in normal physiology and disease. Deciphering metal ion signaling is a challenging endeavor that can illuminate pathways to be targeted for therapeutic intervention. Here, we review key cellular processes where metal ions play essential roles and describe how targeting metal ion signaling pathways has been instrumental to dissecting the biochemistry of the cell and how this has led to the development of effective therapeutic strategies.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
1秒前
1秒前
夜雨声烦发布了新的文献求助10
2秒前
3秒前
123发布了新的文献求助10
3秒前
潇洒的小鸽子完成签到 ,获得积分0
3秒前
花果山山大王完成签到,获得积分10
4秒前
顺利研兔子完成签到,获得积分10
4秒前
Ripples完成签到,获得积分10
4秒前
fd163c应助ray采纳,获得10
5秒前
斯文败类应助留胡子的火采纳,获得10
5秒前
zhaxiao发布了新的文献求助10
5秒前
朱比特完成签到,获得积分10
5秒前
鹿茸与共发布了新的文献求助10
6秒前
魅力小白菜完成签到,获得积分10
6秒前
wmz发布了新的文献求助10
6秒前
英俊的铭应助精明梦柏采纳,获得10
6秒前
7秒前
可耐的锦程完成签到 ,获得积分10
7秒前
young应助zzx采纳,获得10
7秒前
完美世界应助zzx采纳,获得10
7秒前
媛子赚大qian完成签到,获得积分10
8秒前
zzyan完成签到,获得积分10
9秒前
9秒前
10秒前
17739918720发布了新的文献求助10
10秒前
11秒前
赘婿应助adeno采纳,获得10
12秒前
柠檬加冰发布了新的文献求助10
13秒前
无花果应助Yun采纳,获得50
13秒前
李李李发布了新的文献求助10
13秒前
14秒前
14秒前
淡然立轩完成签到,获得积分10
15秒前
春风得意完成签到,获得积分10
15秒前
小葫芦完成签到 ,获得积分10
16秒前
16秒前
CodeCraft应助wmz采纳,获得10
17秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
Atlas of Interventional Pain Management 300
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4006689
求助须知:如何正确求助?哪些是违规求助? 3546469
关于积分的说明 11296161
捐赠科研通 3282138
什么是DOI,文献DOI怎么找? 1809928
邀请新用户注册赠送积分活动 885728
科研通“疑难数据库(出版商)”最低求助积分说明 811078