Chemical proteomics to study metabolism, a reductionist approach applied at the systems level

还原论 蛋白质组学 药物发现 仿形(计算机编程) 细胞代谢 系统生物学 计算生物学 基因组学 计算机科学 新陈代谢 生物信息学 生物化学 生物 认识论 哲学 基因组 基因 操作系统
作者
Md Yousuf Ali,Liron Bar‐Peled
出处
期刊:Cell chemical biology [Elsevier]
卷期号:31 (3): 446-451 被引量:2
标识
DOI:10.1016/j.chembiol.2024.02.015
摘要

Cellular metabolism encompasses a complex array of interconnected biochemical pathways that are required for cellular homeostasis. When dysregulated, metabolism underlies multiple human pathologies. At the heart of metabolic networks are enzymes that have been historically studied through a reductionist lens, and more recently, using high throughput approaches including genomics and proteomics. Merging these two divergent viewpoints are chemical proteomic technologies, including activity-based protein profiling, which combines chemical probes specific to distinct enzyme families or amino acid residues with proteomic analysis. This enables the study of metabolism at the network level with the precision of powerful biochemical approaches. Herein, we provide a primer on how chemical proteomic technologies custom-built for studying metabolism have unearthed fundamental principles in metabolic control. In parallel, these technologies have leap-frogged drug discovery through identification of novel targets and drug specificity. Collectively, chemical proteomics technologies appear to do the impossible: uniting systematic analysis with a reductionist approach. Cellular metabolism encompasses a complex array of interconnected biochemical pathways that are required for cellular homeostasis. When dysregulated, metabolism underlies multiple human pathologies. At the heart of metabolic networks are enzymes that have been historically studied through a reductionist lens, and more recently, using high throughput approaches including genomics and proteomics. Merging these two divergent viewpoints are chemical proteomic technologies, including activity-based protein profiling, which combines chemical probes specific to distinct enzyme families or amino acid residues with proteomic analysis. This enables the study of metabolism at the network level with the precision of powerful biochemical approaches. Herein, we provide a primer on how chemical proteomic technologies custom-built for studying metabolism have unearthed fundamental principles in metabolic control. In parallel, these technologies have leap-frogged drug discovery through identification of novel targets and drug specificity. Collectively, chemical proteomics technologies appear to do the impossible: uniting systematic analysis with a reductionist approach.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
cauliflower发布了新的文献求助10
1秒前
天海蓝完成签到 ,获得积分10
2秒前
苏倩发布了新的文献求助10
3秒前
3秒前
赘婿应助wangyinong采纳,获得30
5秒前
朱迪发布了新的文献求助10
5秒前
wuuuuuuu发布了新的文献求助10
6秒前
刚子发布了新的文献求助10
7秒前
乐观寒珊完成签到,获得积分10
7秒前
8秒前
10秒前
春日午后完成签到,获得积分10
10秒前
11秒前
芳芳子完成签到 ,获得积分10
12秒前
12秒前
wuuuuuuu完成签到,获得积分10
13秒前
露露完成签到 ,获得积分10
13秒前
14秒前
怕孤单的安莲完成签到,获得积分10
15秒前
16秒前
Liuliu发布了新的文献求助10
18秒前
ding应助欢呼的寻双采纳,获得10
18秒前
dwls发布了新的文献求助10
19秒前
猪猪侠有腹肌了完成签到,获得积分10
20秒前
LMFY发布了新的文献求助10
21秒前
21秒前
慕斯发布了新的文献求助10
21秒前
遥远的尧应助张大力采纳,获得10
21秒前
23秒前
23秒前
认真写论文的小梁完成签到,获得积分10
25秒前
吾皇完成签到 ,获得积分10
26秒前
26秒前
李昕123发布了新的文献求助10
27秒前
等待蚂蚁发布了新的文献求助10
27秒前
ding应助weijie采纳,获得10
27秒前
mimi完成签到,获得积分10
28秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3157989
求助须知:如何正确求助?哪些是违规求助? 2809366
关于积分的说明 7881582
捐赠科研通 2467822
什么是DOI,文献DOI怎么找? 1313728
科研通“疑难数据库(出版商)”最低求助积分说明 630522
版权声明 601943