Imaging the Redox Network of Metabolic Acids with Matrix Assisted Laser Desorption and Photoinduced Electron Transfer Ionization Mass Spectrometry

化学 质谱法 氧化还原 质子化 质谱成像 电子转移 解吸 电离 基质辅助激光解吸/电离 光化学 色谱法 无机化学 离子 物理化学 有机化学 吸附
作者
Yixiang Luo,Anji Gao,Xin Zhou,Xiuli Hu,Chang Shao,Linhui Liu,Lin Zhang,Zhengwei Gui,Xiaojing Yan,Xingchen Huang,Hailin Zhou,Tianci Huo,Mingyue Zhang,Xinyu Jiang,Meng Gong,Xue Feng Feng,Hongying Zhong
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (33): 18167-18176 被引量:1
标识
DOI:10.1021/acs.analchem.5c02999
摘要

Metabolic acids may be present as neutral molecules, dipolar ions, or polyprotic anions in various physiological and pathological processes with different net charges, which challenge charge-dependent mass spectrometric detection. In addition, because protonation or deprotonation is the major ionization route in current organic mass spectrometry, it is also impossible to detect other redox metabolites that do not have active protons. A matrix assisted laser desorption and photoinduced electron transfer ionization mass spectrometric imaging (MALDIET-MSI) technique has been developed as a spatial metabolomic tool to investigate the missing part of the redox network. It is based on photo active matrix materials such as 1-amino-2,4-dichloronaphthalene that contain structural units for the absorption of laser irradiation and generate electrons for the ionization of redox active species through electron transfer. MALDIET-MSI not only reveals metabolic acids in the tricarboxylic acid (TCA) cycle but also localizes various redox active metabolites that have been underexplored. It provides high spatial resolution that can differentiate the cancer region, adjacent region and normal tissue region. The leveling effects of basic or acidic matrix materials that cause extensive deprotonation or protonation are avoided. The detection of extended metabolome makes it possible to retrieve the connection of glycolytic pathways with lipogenesis, amino acid synthesis as well as various unknown pathways that has been overlooked.
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
江睿曦发布了新的文献求助10
刚刚
西西发布了新的文献求助10
刚刚
三千个月亮完成签到,获得积分10
刚刚
科研通AI6.4应助lisier采纳,获得30
2秒前
Brave发布了新的文献求助10
2秒前
景cc发布了新的文献求助10
2秒前
小亮子应助天台吹风采纳,获得10
4秒前
周周完成签到,获得积分20
4秒前
无极微光应助斑马采纳,获得20
4秒前
汉堡包应助可青采纳,获得10
4秒前
科研通AI6.4应助fanqiaqia采纳,获得10
5秒前
852应助难过花瓣采纳,获得10
5秒前
8023发布了新的文献求助10
5秒前
rrrrroxie发布了新的文献求助30
5秒前
Nole应助pdw采纳,获得30
6秒前
鱼YUYU完成签到,获得积分10
6秒前
7秒前
思源应助酷炫觅双采纳,获得10
7秒前
乐乐应助科研通管家采纳,获得10
7秒前
四喜丸子应助科研通管家采纳,获得10
8秒前
8秒前
李健应助科研通管家采纳,获得10
8秒前
8秒前
科目三应助科研通管家采纳,获得10
8秒前
酷波er应助科研通管家采纳,获得10
8秒前
Akim应助科研通管家采纳,获得10
9秒前
molihuakai应助科研通管家采纳,获得10
9秒前
小蘑菇应助科研通管家采纳,获得10
9秒前
修仙中应助科研通管家采纳,获得10
9秒前
星辰大海应助科研通管家采纳,获得10
9秒前
852应助初心采纳,获得10
9秒前
小蘑菇应助科研通管家采纳,获得10
10秒前
四喜丸子应助科研通管家采纳,获得10
10秒前
所所应助科研通管家采纳,获得10
10秒前
SciGPT应助科研通管家采纳,获得10
10秒前
感谢大佬完成签到,获得积分10
10秒前
修仙中应助科研通管家采纳,获得10
10秒前
充电宝应助科研通管家采纳,获得10
10秒前
10秒前
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
A Study of the Model by which Principals’ Leadership Behaviour Influences Student Learning Outcomes in Elementary Schools 1000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7709317
求助须知:如何正确求助?哪些是违规求助? 9266399
关于积分的说明 20060315
捐赠科研通 7285714
什么是DOI,文献DOI怎么找? 3296695
关于科研通互助平台的介绍 2451245
邀请新用户注册赠送积分活动 2303641