Matrix Assisted Laser Desorption Ionization Imaging Mass Spectrometry Workflow for Spatial Profiling Analysis of N-Linked Glycan Expression in Tissues

作者
Thomas W. Powers,E. Ellen Jones,Lucy Betesh,Patrick R. Romano,Peng Gao,John A. Copland,Anand S. Mehta,Richard R. Drake
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:85 (20): 9799-9806 被引量:174
标识
DOI:10.1021/ac402108x
摘要

A new matrix assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) method to spatially profile the location and distribution of multiple N-linked glycan species in tissues is described. Application of an endoglycosidase, peptide N-glycosidase F (PNGaseF), directly on tissues followed by incubation releases N-linked glycan species amenable to detection by MALDI-IMS. The method has been designed to simultaneously profile the multiple glycan species released from intracellular organelle and cell surface glycoproteins, while maintaining histopathology compatible preparation workflows. A recombinant PNGaseF enzyme was sprayed uniformly across mouse brain tissue slides, incubated for 2 h, then sprayed with 2,5-dihydroxybenzoic acid matrix for MALDI-IMS analysis. Using this basic approach, global snapshots of major cellular N-linked glycoforms were detected, including their tissue localization and distribution, structure, and relative abundance. Off-tissue extraction and modification of glycans from similarly processed tissues and further mass spectrometry or HPLC analysis was done to assign structural designations. MALDI-IMS has primarily been utilized to spatially profile proteins, lipids, drug, and small molecule metabolites in tissues, but it has not been previously applied to N-linked glycan analysis. The translatable MALDI-IMS glycan profiling workflow described herein can readily be applied to any tissue type of interest. From a clinical diagnostics perspective, the ability to differentially profile N-glycans and correlate their molecular expression to histopathological changes can offer new approaches to identifying novel disease related targets for biomarker and therapeutic applications.

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
zhang完成签到 ,获得积分10
1秒前
chxh211完成签到,获得积分10
2秒前
3秒前
3秒前
通通完成签到,获得积分10
4秒前
SW冒险家完成签到 ,获得积分10
5秒前
王丹靖完成签到 ,获得积分10
6秒前
如愿完成签到,获得积分10
6秒前
莫歌完成签到 ,获得积分10
7秒前
李查查完成签到 ,获得积分10
7秒前
轻松的友灵完成签到 ,获得积分10
7秒前
火乐完成签到,获得积分10
8秒前
科研通AI6.3应助wang采纳,获得10
8秒前
ding应助淮栀采纳,获得10
8秒前
汉堡包应助认真的rain采纳,获得10
9秒前
通通发布了新的文献求助10
9秒前
科研通AI2S应助无心的成风采纳,获得10
9秒前
火乐发布了新的文献求助10
11秒前
JamesPei应助潇洒的亦凝采纳,获得10
13秒前
14秒前
yu完成签到,获得积分10
14秒前
15秒前
陈陈完成签到,获得积分10
16秒前
美丽心情完成签到,获得积分10
17秒前
18秒前
18秒前
目土土完成签到 ,获得积分10
18秒前
4444完成签到,获得积分10
20秒前
吴彦祖发布了新的文献求助10
22秒前
纯情的邪欢完成签到,获得积分10
25秒前
25秒前
思源应助认真的rain采纳,获得10
25秒前
须尽欢完成签到,获得积分10
26秒前
窦白梦完成签到,获得积分10
26秒前
chi1完成签到,获得积分10
26秒前
正行者1完成签到 ,获得积分10
26秒前
wang发布了新的文献求助10
28秒前
28秒前
29秒前
春风十里完成签到,获得积分10
29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
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 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 7592751
求助须知:如何正确求助?哪些是违规求助? 9170027
关于积分的说明 19626929
捐赠科研通 7170623
什么是DOI,文献DOI怎么找? 3267520
关于科研通互助平台的介绍 2432387
邀请新用户注册赠送积分活动 2260041