Mass Spectrometry-Based Characterization of Protein Aggregates in Tissues and Biofluids

污渍 化学 微泡 蛋白质聚集 质谱法 蛋白质组学 串联质谱法 生物物理学 生物化学 色谱法 生物 小RNA 基因
作者
Janaína Macedo-da-Silva,Lívia Rosa-Fernandes,Verônica Feijoli Santiago,Cláudia B. Angeli,Suely Kazue Nagahashi Marie,Giuseppe Palmisano
出处
期刊:Advances in Experimental Medicine and Biology [Springer Nature]
卷期号:: 257-267
标识
DOI:10.1007/978-3-031-50624-6_14
摘要

Protein aggregation is a common mechanism in multiple neurodegenerative and heart diseases and the accumulation of proteins in aggregates is toxic to cells, causing injury and death. The degree of protein aggregation directly correlates with the severity of the disease. Misfolded proteins present thermodynamic barriers that culminate in the loss of structure and function and the exposure of hydrophobic residues. The exposure of hydrophobic residues is the driving force behind protein aggregation, as it reduces surface free energy and increases the propensity for the formation of large insoluble aggregates. Exploring the protein content of aggregates is fundamental to understanding their formation mechanism and pathophysiological effects. We demonstrate here a method for isolating aggregated protein content in human plasma and mouse brain samples. The samples were characterized by mass spectrometry analysis, transmission electron microscopy, and western blotting. We report the identification of proteins associated with neurodegenerative diseases in the isolated pellets. The western blotting analyses of the isolated pellet showed the positivity for CD89 and CD63, consolidated markers of exosomes, confirming the presence of exosomes within the pellet but not in the supernatant in human plasma. Notably, the concomitant isolation of exosomes together with the protein aggregates was feasible starting from 200 μL of human plasma. Moreover, the presented methodology separated albumin from the aggregated pellet, allowing identification of larger diversity of proteins through mass spectrometry analysis.
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
斯文败类应助夕荀采纳,获得10
1秒前
排骨大王发布了新的文献求助10
1秒前
酷炫的雅香关注了科研通微信公众号
2秒前
史小菜应助yishan101采纳,获得20
5秒前
momo完成签到,获得积分10
5秒前
6秒前
suchui完成签到 ,获得积分10
7秒前
8秒前
9秒前
2:38am完成签到 ,获得积分10
10秒前
10秒前
Vernon完成签到,获得积分10
12秒前
atonnng发布了新的文献求助10
12秒前
阿桂发布了新的文献求助10
13秒前
大蟋蟀完成签到,获得积分10
15秒前
998172完成签到,获得积分10
16秒前
17秒前
第五明月完成签到,获得积分10
18秒前
xl_c完成签到,获得积分10
18秒前
直率的心情完成签到,获得积分10
19秒前
热心市民小红花应助SAINT采纳,获得10
20秒前
21秒前
21秒前
任性的岱周完成签到,获得积分10
22秒前
22秒前
量子星尘发布了新的文献求助10
22秒前
陈可蓉发布了新的文献求助10
22秒前
atonnng完成签到,获得积分10
22秒前
FIN应助lilei采纳,获得30
25秒前
jhy发布了新的文献求助10
25秒前
夕荀发布了新的文献求助10
26秒前
天天快乐应助ljw采纳,获得10
26秒前
淡水痕发布了新的文献求助10
27秒前
29秒前
嗯哼完成签到,获得积分20
29秒前
30秒前
30秒前
32秒前
TszPok发布了新的文献求助10
34秒前
嗯哼发布了新的文献求助20
34秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3959733
求助须知:如何正确求助?哪些是违规求助? 3506004
关于积分的说明 11127299
捐赠科研通 3237957
什么是DOI,文献DOI怎么找? 1789411
邀请新用户注册赠送积分活动 871741
科研通“疑难数据库(出版商)”最低求助积分说明 803000