All-Ion Monitoring-Directed Low-Abundance Protein Quantification Reveals CALB2 as a Key Promoter in Hepatocellular Carcinoma Metastasis

蛋白质组 化学 肝细胞癌 转移 管道(软件) 丰度(生态学) 计算生物学 样品制备 癌症研究 癌症 生物化学 色谱法 计算机科学 生物 遗传学 渔业 程序设计语言
作者
Hongwei Chu,Qun Zhao,Yichu Shan,Shen Zhang,Zhigang Sui,Xiao Li,Fei Fang,Baofeng Zhao,Shijun Zhong,Zhen Liang,Lihua Zhang,Yukui Zhang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (16): 6102-6111 被引量:9
标识
DOI:10.1021/acs.analchem.1c03562
摘要

Because of the wide abundance range of the proteome, achieving high-coverage quantification of low-abundance proteins is always a major challenge. In this study, a complete pipeline focused on all-ion monitoring (AIM) is first constructed with the concept of untargeted parallel-reaction monitoring, including the seamless connection of protein sample preparation, liquid chromatography mass spectrometry (LC-MS) acquisition, and algorithm development to enable the in-depth quantitative analysis of low-abundance proteins. This pipeline significantly improves the reproducibility and sensitivity of sample preparation and LC-MS acquisition for low-abundance proteins, enabling all the precursors ions fragmented and collected. Contributed by the advantages of the AIM method with all the target precursor acquisition by the data-dependent acquisition (DDA) approach, together with the ability of data-independent acquisition to fragment all precursor ions, the quantitative accuracy and precision of low-abundance proteins are greatly enhanced. As a proof of concept, this pipeline is employed to discover the key differential proteins in the mechanism of hepatocellular carcinoma (HCC) metastasis. On the basis of the superiority of AIM, an extremely low-abundance protein, CALB2, is proposed to promote HCC metastasis in vitro and in vivo. We also reveal that CALB2 activates the TRPV2-Ca2+-ERK1/2 signaling pathway to induce HCC cell metastasis. In summary, we provide a universal AIM pipeline for the high-coverage quantification of low-abundance functional proteins to seek novel insights into the mechanisms of cancer metastasis.
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
脑洞疼应助多情的果汁采纳,获得10
刚刚
刚刚
1秒前
哈哈发布了新的文献求助10
1秒前
HonamC完成签到,获得积分10
1秒前
2秒前
德瓦达发布了新的文献求助10
2秒前
2秒前
windfall关注了科研通微信公众号
2秒前
FashionBoy应助小沈采纳,获得10
2秒前
ayzyy发布了新的文献求助10
2秒前
HHHHH发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
林莹发布了新的文献求助10
3秒前
领导范儿应助YOLK97采纳,获得10
4秒前
HHHHH发布了新的文献求助10
4秒前
爆米花应助過客采纳,获得10
4秒前
5秒前
5秒前
HHHHH发布了新的文献求助10
5秒前
HHHHH发布了新的文献求助30
5秒前
HHHHH发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
幽默丸子发布了新的文献求助10
5秒前
6秒前
HHHHH发布了新的文献求助10
6秒前
6秒前
HHHHH发布了新的文献求助10
6秒前
HHHHH发布了新的文献求助10
7秒前
7秒前
8秒前
彳亍发布了新的文献求助10
8秒前
9秒前
小蘑菇应助科研通管家采纳,获得50
9秒前
9秒前
所所应助科研通管家采纳,获得10
9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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6023965
求助须知:如何正确求助?哪些是违规求助? 7653794
关于积分的说明 16174675
捐赠科研通 5172432
什么是DOI,文献DOI怎么找? 2767548
邀请新用户注册赠送积分活动 1750980
关于科研通互助平台的介绍 1637365