Novel Structure-Driven Predict-to-Hit Strategy for PC Double Bond Positional Isomer Identification Based on Negative LC-MRM Analysis

化学 脂类学 结构异构体 仿形(计算机编程) 质谱法 碎片(计算) 色谱法 双键 计算生物学 立体化学 生物化学 有机化学 计算机科学 生物 操作系统
作者
Cai Tie,Xiaoxu Cui,Zhijun Zhang,Yisen Geng,Ting Liu,Xianglu Rong,Xiaohui Zheng
出处
期刊:Analytical Chemistry [American Chemical Society]
标识
DOI:10.1021/acs.analchem.3c04032
摘要

As the predominant phospholipids in mammalian cells, phosphatidylcholines (PCs) have been demonstrated to play a crucial role in a multitude of vital biological processes. Research has highlighted the significance of the diversity in PC isomers as instigators of both physiological and pathological responses, particularly those with variations in the position of double bonds within their fatty chains. Profiling these PC isomers is paramount to advancing our understanding of their biological functions. Despite the availability of analytical methods utilizing high-resolution secondary mass spectrometry (MS2) fragmentation, a novel approach was imperative to facilitate large-scale profiling of PC isomers while ensuring accessibility, facility, and reliability. In this study, an innovative strategy centered around structure-driven predict-to-hit profiling of the double bond positional isomers for PCs was meticulously developed, employing negative reversed-phase liquid chromatography–multiple reaction monitoring (RPLC-MRM). This novel methodology heightened the sensitivity. The analysis of rat lung tissue samples resulted in the identification of 130 distinct PC isomers. This approach transcended the confines of available PC isomer standards, thereby broadening the horizons of PC-related biofunction investigations. By optimizing the quantitation reliability, the scale of sample analysis was judiciously managed. This work pioneers a novel paradigm for the exploration of PC isomers, distinct from the conventional methods reliant on high-resolution mass spectrometry (HRMS). It equips researchers with potent tools to further explore the biofunctional aspects of lipids.
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
shuangma完成签到,获得积分10
1秒前
害羞涵双发布了新的文献求助10
2秒前
2秒前
中和皇极完成签到,获得积分0
2秒前
DAJI完成签到,获得积分10
4秒前
AXQ发布了新的文献求助10
7秒前
单薄广山发布了新的文献求助10
8秒前
那就来吧完成签到,获得积分10
9秒前
9秒前
哭泣的又蓝完成签到,获得积分10
11秒前
缥缈羊发布了新的文献求助10
12秒前
12秒前
xiaoxiao_121应助Jaden采纳,获得10
14秒前
现代完成签到,获得积分10
14秒前
15秒前
15秒前
欢呼山雁完成签到,获得积分10
16秒前
UU发布了新的文献求助10
16秒前
何东桥完成签到,获得积分20
17秒前
我爱看文献完成签到,获得积分10
20秒前
20秒前
深情寒松发布了新的文献求助10
20秒前
21秒前
cyskdsn发布了新的文献求助10
21秒前
22秒前
25秒前
斯文败类应助哭泣的又蓝采纳,获得10
26秒前
27秒前
loin留下了新的社区评论
27秒前
Shane完成签到,获得积分10
28秒前
AXQ完成签到,获得积分10
28秒前
苗修杰完成签到,获得积分10
30秒前
30秒前
11发布了新的文献求助10
31秒前
niuzyang发布了新的文献求助10
32秒前
ccm应助yory采纳,获得10
34秒前
niuzyang完成签到,获得积分10
36秒前
和和完成签到,获得积分10
37秒前
小二郎应助俊逸的凝天采纳,获得10
37秒前
开心之王完成签到,获得积分10
38秒前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
Encyclopedia of Computational Mechanics,2 edition 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 3269484
求助须知:如何正确求助?哪些是违规求助? 2909041
关于积分的说明 8347874
捐赠科研通 2579330
什么是DOI,文献DOI怎么找? 1402771
科研通“疑难数据库(出版商)”最低求助积分说明 655515
邀请新用户注册赠送积分活动 634784