Capturing the phosphorylation and protein interaction landscape of the plant TOR kinase

磷酸蛋白质组学 生物 计算生物学 蛋白质组 拟南芥 拟南芥 信号 激酶 细胞生物学 交互网络 蛋白激酶A 蛋白质磷酸化 遗传学 突变体 基因
作者
Jelle Van Leene,Chao Han,Astrid Gadeyne,Dominique Eeckhout,Caroline Matthijs,Bernard Cannoot,Nancy De Winne,Geert Persiau,Eveline Van De Slijke,Brigitte van de Cotte,Elisabeth Stes,Michiel Van Bel,Véronique Storme,Francis Impens,Kris Gevaert,Klaas Vandepoele,Ive De Smet,Geert De Jaeger
出处
期刊:Nature plants [Springer Nature]
卷期号:5 (3): 316-327 被引量:268
标识
DOI:10.1038/s41477-019-0378-z
摘要

The target of rapamycin (TOR) kinase is a conserved regulatory hub that translates environmental and nutritional information into permissive or restrictive growth decisions. Despite the increased appreciation of the essential role of the TOR complex in plants, no large-scale phosphoproteomics or interactomics studies have been performed to map TOR signalling events in plants. To fill this gap, we combined a systematic phosphoproteomics screen with a targeted protein complex analysis in the model plant Arabidopsis thaliana. Integration of the phosphoproteome and protein complex data on the one hand shows that both methods reveal complementary subspaces of the plant TOR signalling network, enabling proteome-wide discovery of both upstream and downstream network components. On the other hand, the overlap between both data sets reveals a set of candidate direct TOR substrates. The integrated network embeds both evolutionarily-conserved and plant-specific TOR signalling components, uncovering an intriguing complex interplay with protein synthesis. Overall, the network provides a rich data set to start addressing fundamental questions about how TOR controls key processes in plants, such as autophagy, auxin signalling, chloroplast development, lipid metabolism, nucleotide biosynthesis, protein translation or senescence.
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
科研通AI6应助科研通管家采纳,获得20
刚刚
幸福店员发布了新的文献求助10
刚刚
在水一方应助科研通管家采纳,获得10
刚刚
刚刚
香蕉觅云应助科研通管家采纳,获得10
刚刚
打打应助科研通管家采纳,获得10
刚刚
Mic应助科研通管家采纳,获得10
1秒前
1秒前
wanci应助科研通管家采纳,获得10
1秒前
无极微光应助科研通管家采纳,获得20
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
Orange应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
1秒前
Hello应助qaa2274278941采纳,获得10
2秒前
汉堡包应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得10
2秒前
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
李健应助科研通管家采纳,获得10
2秒前
2秒前
嘞是举仔应助科研通管家采纳,获得20
2秒前
2秒前
3秒前
Wind应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
Lychee完成签到 ,获得积分10
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
3秒前
Oooner发布了新的文献求助10
3秒前
3秒前
trumning应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
3秒前
Mic应助科研通管家采纳,获得10
3秒前
3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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5712710
求助须知:如何正确求助?哪些是违规求助? 5211827
关于积分的说明 15268582
捐赠科研通 4864522
什么是DOI,文献DOI怎么找? 2611551
邀请新用户注册赠送积分活动 1561833
关于科研通互助平台的介绍 1519066