• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于质谱的血浆/血清蛋白质组学

Plasma/Serum Proteomics based on Mass Spectrometry.

作者信息

Zhu Yiying

机构信息

Department of Chemistry, Tsinghua University, Beijing, China.

出版信息

Protein Pept Lett. 2024;31(3):192-208. doi: 10.2174/0109298665286952240212053723.

DOI:10.2174/0109298665286952240212053723
PMID:38869039
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11165715/
Abstract

Human blood is a window of physiology and disease. Examination of biomarkers in blood is a common clinical procedure, which can be informative in diagnosis and prognosis of diseases, and in evaluating treatment effectiveness. There is still a huge demand on new blood biomarkers and assays for precision medicine nowadays, therefore plasma/serum proteomics has attracted increasing attention in recent years. How to effectively proceed with the biomarker discovery and clinical diagnostic assay development is a question raised to researchers who are interested in this area. In this review, we comprehensively introduce the background and advancement of technologies for blood proteomics, with a focus on mass spectrometry (MS). Analyzing existing blood biomarkers and newly-built diagnostic assays based on MS can shed light on developing new biomarkers and analytical methods. We summarize various protein analytes in plasma/serum which include total proteome, protein post-translational modifications, and extracellular vesicles, focusing on their corresponding sample preparation methods for MS analysis. We propose screening multiple protein analytes in the same set of blood samples in order to increase success rate for biomarker discovery. We also review the trends of MS techniques for blood tests including sample preparation automation, and further provide our perspectives on their future directions.

摘要

人体血液是生理学和疾病的窗口。检测血液中的生物标志物是一种常见的临床操作,这对于疾病的诊断、预后以及评估治疗效果都具有参考价值。如今,精准医学对新型血液生物标志物和检测方法仍有巨大需求,因此血浆/血清蛋白质组学近年来受到了越来越多的关注。如何有效地进行生物标志物的发现以及临床诊断检测方法的开发,是该领域研究人员面临的一个问题。在这篇综述中,我们全面介绍了血液蛋白质组学技术的背景和进展,重点关注质谱(MS)技术。分析现有的血液生物标志物以及基于质谱的新型诊断检测方法,有助于开发新的生物标志物和分析方法。我们总结了血浆/血清中的各种蛋白质分析物,包括总蛋白质组、蛋白质翻译后修饰以及细胞外囊泡,并重点介绍了它们相应的用于质谱分析的样品制备方法。我们建议在同一组血液样本中筛选多种蛋白质分析物,以提高生物标志物发现的成功率。我们还综述了血液检测中质谱技术的发展趋势,包括样品制备自动化,并进一步对其未来发展方向提出了我们的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/33f269d927bc/PPL-31-192_F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/721335c52fc3/PPL-31-192_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/350e64715de7/PPL-31-192_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/2aef59bbbab9/PPL-31-192_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/33f269d927bc/PPL-31-192_F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/721335c52fc3/PPL-31-192_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/350e64715de7/PPL-31-192_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/2aef59bbbab9/PPL-31-192_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ad/11165715/33f269d927bc/PPL-31-192_F4.jpg

相似文献

1
Plasma/Serum Proteomics based on Mass Spectrometry.基于质谱的血浆/血清蛋白质组学
Protein Pept Lett. 2024;31(3):192-208. doi: 10.2174/0109298665286952240212053723.
2
Revisiting biomarker discovery by plasma proteomics.重新审视血浆蛋白质组学的生物标志物发现。
Mol Syst Biol. 2017 Sep 26;13(9):942. doi: 10.15252/msb.20156297.
3
Early Cancer Biomarker Discovery Using DIA-MS Proteomic Analysis of EVs from Peripheral Blood.利用外周血 EVs 的 DIA-MS 蛋白质组分析进行早期癌症生物标志物的发现。
Methods Mol Biol. 2023;2628:127-152. doi: 10.1007/978-1-0716-2978-9_9.
4
Defining the Soluble and Extracellular Vesicle Protein Compartments of Plasma Using In-Depth Mass Spectrometry-Based Proteomics.使用深度基于质谱的蛋白质组学定义血浆中的可溶性和细胞外囊泡蛋白组份。
J Proteome Res. 2024 Sep 6;23(9):4114-4127. doi: 10.1021/acs.jproteome.4c00490. Epub 2024 Aug 14.
5
Rapid Isolation of Extracellular Vesicles from Blood Plasma with Size-Exclusion Chromatography Followed by Mass Spectrometry-Based Proteomic Profiling.通过尺寸排阻色谱法从血浆中快速分离细胞外囊泡,随后进行基于质谱的蛋白质组学分析。
Methods Mol Biol. 2017;1660:295-302. doi: 10.1007/978-1-4939-7253-1_24.
6
Emerging Affinity-Based Proteomic Technologies for Large-Scale Plasma Profiling in Cardiovascular Disease.用于心血管疾病大规模血浆分析的基于亲和力的新兴蛋白质组学技术
Circulation. 2017 Apr 25;135(17):1651-1664. doi: 10.1161/CIRCULATIONAHA.116.025446.
7
Clinical Proteomics for the Analysis of Circulating Extracellular Vesicles.临床蛋白质组学在循环细胞外囊泡分析中的应用
Methods Mol Biol. 2021;2259:13-23. doi: 10.1007/978-1-0716-1178-4_2.
8
IgY14 and SuperMix immunoaffinity separations coupled with liquid chromatography-mass spectrometry for human plasma proteomics biomarker discovery.IgY14 和 SuperMix 免疫亲和分离与液相色谱-质谱联用在人血浆蛋白质组学生物标志物发现中的应用。
Methods. 2012 Feb;56(2):246-53. doi: 10.1016/j.ymeth.2011.09.001. Epub 2011 Sep 10.
9
Differential ultracentrifugation enables deep plasma proteomics through enrichment of extracellular vesicles.差速超速离心通过富集细胞外囊泡实现深度血浆蛋白质组学分析。
Proteomics. 2023 Apr;23(7-8):e2200039. doi: 10.1002/pmic.202200039. Epub 2022 Nov 27.
10
Immune capture and protein profiling of small extracellular vesicles from human plasma.从人血浆中免疫捕获和蛋白质谱分析小细胞外囊泡。
Proteomics. 2024 Jun;24(11):e2300180. doi: 10.1002/pmic.202300180. Epub 2023 Sep 15.

引用本文的文献

1
AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis.用于卵巢癌诊断的人工智能衍生血液生物标志物:系统评价与荟萃分析
J Med Internet Res. 2025 Mar 24;27:e67922. doi: 10.2196/67922.
2
Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer.蛋白质组学和代谢组学方法在概述肿瘤发生及改善癌症管理方面的相关性。
3 Biotech. 2025 Mar;15(3):58. doi: 10.1007/s13205-025-04222-8. Epub 2025 Feb 11.
3
Integrative proteomic analysis reveals the potential diagnostic marker and drug target for the Type-2 diabetes mellitus.

本文引用的文献

1
Parallelized Acquisition of Orbitrap and Astral Analyzers Enables High-Throughput Quantitative Analysis.轨道阱和星状分析仪的并行采集实现高通量定量分析。
Anal Chem. 2023 Oct 24;95(42):15656-15664. doi: 10.1021/acs.analchem.3c02856. Epub 2023 Oct 10.
2
Recent stationary phase-based fractionation strategies in proteomic analysis.近年来蛋白质组学分析中基于固定相的分离策略。
J Sep Sci. 2023 Aug;46(15):e2300174. doi: 10.1002/jssc.202300174. Epub 2023 Jun 3.
3
Small molecule metabolites: discovery of biomarkers and therapeutic targets.
整合蛋白质组学分析揭示了2型糖尿病的潜在诊断标志物和药物靶点。
J Diabetes Metab Disord. 2025 Jan 22;24(1):55. doi: 10.1007/s40200-025-01562-3. eCollection 2025 Jun.
小分子代谢物:生物标志物和治疗靶点的发现。
Signal Transduct Target Ther. 2023 Mar 20;8(1):132. doi: 10.1038/s41392-023-01399-3.
4
Extracellular Vesicles as Potential Biomarkers in Amyotrophic Lateral Sclerosis.细胞外囊泡作为肌萎缩侧索硬化症的潜在生物标志物。
Genes (Basel). 2023 Jan 27;14(2):325. doi: 10.3390/genes14020325.
5
MALDI-TOF Mass Spectrometry in Clinical Analysis and Research.基质辅助激光解吸电离飞行时间质谱在临床分析与研究中的应用
ACS Meas Sci Au. 2022 Jul 27;2(5):385-404. doi: 10.1021/acsmeasuresciau.2c00019. eCollection 2022 Oct 19.
6
Liquid chromatography-tandem mass spectrometry for clinical diagnostics.用于临床诊断的液相色谱-串联质谱法。
Nat Rev Methods Primers. 2022;2(1):96. doi: 10.1038/s43586-022-00175-x. Epub 2022 Dec 8.
7
UK Biobank: a globally important resource for cancer research.英国生物银行:癌症研究的全球性重要资源。
Br J Cancer. 2023 Feb;128(4):519-527. doi: 10.1038/s41416-022-02053-5. Epub 2022 Nov 19.
8
How MALDI-TOF Mass Spectrometry Technology Contributes to Microbial Infection Control in Healthcare Settings.基质辅助激光解吸电离飞行时间质谱技术如何助力医疗机构的微生物感染控制。
Vaccines (Basel). 2022 Nov 8;10(11):1881. doi: 10.3390/vaccines10111881.
9
Portable mass spectrometry system: instrumentation, applications, and path to 'omics analysis.便携式质谱系统:仪器、应用和通向“组学”分析的途径。
Proteomics. 2022 Dec;22(23-24):e2200112. doi: 10.1002/pmic.202200112. Epub 2022 Nov 18.
10
Advanced Glycation End-Product Precursor Methylglyoxal May Lead to Development of Alzheimer's Disease.晚期糖基化终末产物前体甲基乙二醛可能导致阿尔茨海默病的发生。
Diabetes Metab Syndr Obes. 2022 Oct 17;15:3153-3166. doi: 10.2147/DMSO.S382927. eCollection 2022.