Scaled-Down Thermal Profiling and Coaggregation Analysis of the Proteome for Drug Target and Protein Interaction Analysis

化学 蛋白质组 色谱法 蛋白质组学 分馏 质谱法 生物化学 基因
作者
Xue Lu,Bin Liao,Siyuan Sun,Yiheng Mao,Qiong Wu,Ruijun Tian,Chris Soon Heng Tan
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (37): 13844-13854 被引量:11
标识
DOI:10.1021/acs.analchem.3c01941
摘要

Thermal proteome profiling (TPP), an experimental technique combining the cellular thermal shift assay (CETSA) with quantitative protein mass spectrometry (MS), identifies interactions of drugs and chemicals with endogenous proteins. Thermal proximity coaggregation (TPCA) profiling extended TPP to study the intracellular dynamics of protein complexes. In TPP and TPCA, samples are subjected to multiple denaturing temperatures, each requiring over 100 μg of proteins, which restricts their applications for rare cells and precious clinical samples. We developed a workflow termed STASIS (scaled-down thermal profiling and coaggregation analysis with SISPROT) that scales down the required protein to as low as 1 μg per temperature. This is achieved by heating and centrifugation using the same PCR tube, processing samples with the SISPROT technology (simple and integrated spintip-based proteomics technology), and tip-based manual fractionation of TMT-labeled peptides. We evaluate the STASIS workflow with starting protein quantities of 10, 5, and 1 μg per temperature prior to heating, identifying between 4000 and 5000 proteins with 6 h of acquisition time. Importantly, we observed a high correlation in the Tm of proteins with minimal difference in TPCA performance for predicting protein complexes. Moreover, STASIS could identify the targets of methotrexate and panobinostat with high precision with 1 μg of proteins per temperature. In conclusion, STASIS is a robust cost-effective technique for target deconvolution and extended TPCA to rare primary cells and precious clinical samples for the analysis of protein complexes.
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
刚刚
胡图图发布了新的文献求助30
刚刚
an完成签到,获得积分10
刚刚
刚刚
1秒前
2秒前
hu970发布了新的文献求助10
2秒前
2秒前
Cong应助lingling采纳,获得30
2秒前
酒精喵喵应助毗昙采纳,获得10
2秒前
麦兜兜里没糖糖完成签到,获得积分10
2秒前
潇洒的早晨完成签到,获得积分10
2秒前
我爱科研发布了新的文献求助10
2秒前
123发布了新的文献求助30
3秒前
3秒前
Tough完成签到 ,获得积分10
4秒前
kath完成签到,获得积分10
4秒前
科研通AI6.4应助Zevin_Dong采纳,获得10
4秒前
4秒前
kexuxu发布了新的文献求助10
4秒前
4秒前
宋toki完成签到,获得积分10
5秒前
5秒前
神啊救救我吧完成签到,获得积分10
5秒前
不嘻嘻嘻发布了新的文献求助10
6秒前
yy32323发布了新的文献求助10
6秒前
6秒前
7秒前
轵关宣方发布了新的文献求助20
7秒前
7秒前
甘露糖发布了新的文献求助10
7秒前
NexusExplorer应助可乐采纳,获得10
8秒前
Orange应助Corundum采纳,获得10
8秒前
DW应助zzzz采纳,获得10
8秒前
宇文无施完成签到,获得积分10
8秒前
8秒前
8秒前
所所应助Rocky_Qi采纳,获得10
9秒前
YMAO发布了新的文献求助10
9秒前
lili完成签到,获得积分10
10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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7780827
求助须知:如何正确求助?哪些是违规求助? 9320851
关于积分的说明 20379811
捐赠科研通 7368518
什么是DOI,文献DOI怎么找? 3319899
关于科研通互助平台的介绍 2467738
邀请新用户注册赠送积分活动 2335787