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,Xinge Cui,Zhijun Zhang,Yicong Geng,Ting Liu,Xiaojuan Rong,Xin Zheng
出处
期刊:Analytical Chemistry [American Chemical Society]
被引量:1
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
pyrene完成签到 ,获得积分10
1秒前
公冶菲鹰发布了新的文献求助10
1秒前
热热完成签到,获得积分10
1秒前
zzz完成签到 ,获得积分10
1秒前
Jared应助黎黎采纳,获得10
2秒前
2秒前
2秒前
斯文败类应助XXXXX采纳,获得10
2秒前
阿芜完成签到,获得积分10
3秒前
LV发布了新的文献求助10
3秒前
qiuxiali123发布了新的文献求助10
3秒前
3秒前
CodeCraft应助miao采纳,获得10
3秒前
3秒前
LSW完成签到 ,获得积分10
4秒前
顾矜应助IF采纳,获得30
5秒前
咸鱼咸完成签到,获得积分10
5秒前
Kauio发布了新的文献求助10
5秒前
幸运鹅47完成签到,获得积分10
5秒前
orixero应助niagvbjkhsdfvc采纳,获得10
5秒前
hanyahui完成签到,获得积分10
6秒前
eliot完成签到,获得积分10
6秒前
6秒前
Zhao_Kai发布了新的文献求助10
6秒前
爆米花应助而风不止采纳,获得10
6秒前
坚强的紫菜完成签到,获得积分10
6秒前
熊风发布了新的文献求助10
7秒前
核桃完成签到,获得积分10
7秒前
see完成签到,获得积分10
7秒前
栀初完成签到,获得积分10
7秒前
LT发布了新的文献求助10
8秒前
8秒前
9秒前
热心市民余先生完成签到,获得积分10
9秒前
乐乐应助夕荀采纳,获得10
10秒前
无限小霜完成签到,获得积分10
10秒前
DreamMaker应助LV采纳,获得10
10秒前
星辰大海应助LV采纳,获得30
10秒前
10秒前
赘婿应助酥酥脆采纳,获得10
11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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
Metagames: Games about Games 700
King Tyrant 680
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 5573926
求助须知:如何正确求助?哪些是违规求助? 4660203
关于积分的说明 14728382
捐赠科研通 4599980
什么是DOI,文献DOI怎么找? 2524638
邀请新用户注册赠送积分活动 1494989
关于科研通互助平台的介绍 1465005