• 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

深入探究人体体液蛋白质组:生物标志物发现的有价值数据资源。

Deep Dive on the Proteome of Human Body Fluids: A Valuable Data Resource for Biomarker Discovery.

机构信息

State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Fudan University, Shanghai, P.R. China.

State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang, P.R. China.

出版信息

Cancer Genomics Proteomics. 2021 Jul-Aug;18(4):549-568. doi: 10.21873/cgp.20280.

DOI:10.21873/cgp.20280
PMID:34183388
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8404731/
Abstract

BACKGROUND/AIM: Body fluids are considered to be a rich source of disease biomarkers. Proteins in many body fluids have potential clinical applications for disease diagnostic and prognostic purposes. The aim of this study was to establish an in-depth multi-body fluid proteome.

MATERIALS AND METHODS

Ten body fluids associated with 8 types of cancers collected from 23 patients involved in 19 common diseases underwent liquid chromatography tandem mass spectrometry (MS) analysis after gel-based protein separation (SDS-PAGE) or peptide-based fractionations. Bioinformatic analysis, including principal component analysis (PCA), consensus clustering, and hierarchical clustering analysis were also performed. The biological function was determined using the Database for Annotation, Visualization and Integrated Discovery (DAVID).

RESULTS

We profiled the proteome of ten body fluids, including ascites, bile, cerebrospinal fluid (CSF), hydrothorax, knee joint fluid (KJF), plasma, saliva, serum, tears, and urine. A total of 3,396 nonredundant proteins were identified, of which 304 were shared among ten body fluids, with common functions in focal adhesion and complement/coagulation cascades. A total of 41.5% (1,409) of the proteins were detected in only one body fluid and were closely related to their adjacent tissues by function. The functional analysis of the remaining 1,683 proteins showed that similar functions might be shared among different body fluids, which further highlighted the close connection of body fluids in the human body.

CONCLUSION

A deep proteome of multi-body fluids originated from patients diagnosed with 19 common diseases provides a valuable data resource, and might indicate the potential application of body fluids for biomarker discovery.

摘要

背景/目的:体液被认为是疾病生物标志物的丰富来源。许多体液中的蛋白质具有用于疾病诊断和预后目的的潜在临床应用。本研究的目的是建立一个深入的多体液蛋白质组。

材料和方法

从 23 名患有 19 种常见疾病的患者中收集了与 8 种癌症相关的 10 种体液,并在基于凝胶的蛋白质分离(SDS-PAGE)或基于肽的分级分离后进行液相色谱串联质谱(MS)分析。还进行了生物信息学分析,包括主成分分析(PCA)、共识聚类和层次聚类分析。使用数据库进行注释、可视化和综合发现(DAVID)确定生物学功能。

结果

我们对包括腹水、胆汁、脑脊液(CSF)、胸腔积液、膝关节液(KJF)、血浆、唾液、血清、眼泪和尿液在内的十种体液的蛋白质组进行了分析。共鉴定出 3396 个非冗余蛋白,其中 304 个在十种体液中共有,具有焦点粘附和补体/凝血级联的共同功能。共有 41.5%(1409 个)的蛋白质仅在一种体液中检测到,通过功能与相邻组织密切相关。其余 1683 种蛋白质的功能分析表明,不同体液之间可能具有相似的功能,这进一步强调了人体体液之间的密切联系。

结论

来自诊断为 19 种常见疾病的患者的多种体液的深度蛋白质组提供了有价值的数据资源,并且可能表明体液在生物标志物发现方面的潜在应用。

相似文献

1
Deep Dive on the Proteome of Human Body Fluids: A Valuable Data Resource for Biomarker Discovery.深入探究人体体液蛋白质组:生物标志物发现的有价值数据资源。
Cancer Genomics Proteomics. 2021 Jul-Aug;18(4):549-568. doi: 10.21873/cgp.20280.
2
A Comparative Proteomics Analysis of Five Body Fluids: Plasma, Urine, Cerebrospinal Fluid, Amniotic Fluid, and Saliva.五种体液的比较蛋白质组学分析:血浆、尿液、脑脊液、羊水和唾液。
Proteomics Clin Appl. 2018 Nov;12(6):e1800008. doi: 10.1002/prca.201800008. Epub 2018 Jun 13.
3
Proteome characterization in various biological fluids of Trypanosoma brucei gambiense-infected subjects.感染冈比亚锥虫的不同生物体液中的蛋白质组学特征。
J Proteomics. 2019 Mar 30;196:150-161. doi: 10.1016/j.jprot.2018.11.005. Epub 2018 Nov 7.
4
Deep Dive on the Proteome of Human Cerebrospinal Fluid: A Valuable Data Resource for Biomarker Discovery and Missing Protein Identification.深入研究人类脑脊液蛋白质组:生物标志物发现和缺失蛋白鉴定的有价值数据资源。
J Proteome Res. 2018 Dec 7;17(12):4113-4126. doi: 10.1021/acs.jproteome.8b00300. Epub 2018 Aug 31.
5
Identification of potential saliva and tear biomarkers in primary Sjögren's syndrome, utilising the extraction of extracellular vesicles and proteomics analysis.利用细胞外囊泡提取和蛋白质组学分析鉴定原发性干燥综合征中潜在的唾液和泪液生物标志物。
Arthritis Res Ther. 2017 Jan 25;19(1):14. doi: 10.1186/s13075-017-1228-x.
6
Proteomics analysis of bodily fluids in pancreatic cancer.胰腺癌患者体液的蛋白质组学分析
Proteomics. 2015 Aug;15(15):2705-15. doi: 10.1002/pmic.201400476. Epub 2015 Apr 27.
7
Qualitative and Quantitative Proteome Analysis of Oral Fluids in Health and Periodontal Disease by Mass Spectrometry.通过质谱法对健康和牙周疾病患者口腔液进行定性和定量蛋白质组分析
Methods Mol Biol. 2017;1537:37-60. doi: 10.1007/978-1-4939-6685-1_3.
8
Proteomics of human biological fluids for biomarker discoveries: technical advances and recent applications.人生物体液的蛋白质组学用于生物标志物的发现:技术进展和最新应用。
Expert Rev Proteomics. 2022 Feb;19(2):131-151. doi: 10.1080/14789450.2022.2070477. Epub 2022 May 5.
9
In-depth characterization of the cerebrospinal fluid (CSF) proteome displayed through the CSF proteome resource (CSF-PR).通过脑脊液蛋白质组资源(CSF-PR)展示的脑脊液(CSF)蛋白质组的深入表征。
Mol Cell Proteomics. 2014 Nov;13(11):3152-63. doi: 10.1074/mcp.M114.038554. Epub 2014 Jul 18.
10
2D-electrophoresis and multiplex immunoassay proteomic analysis of different body fluids and cellular components reveal known and novel markers for extended fasting.二维电泳和多重免疫测定蛋白质组学分析不同的体液和细胞成分,揭示了延长禁食的已知和新标志物。
BMC Med Genomics. 2011 Mar 25;4:24. doi: 10.1186/1755-8794-4-24.

引用本文的文献

1
BloodProST: prediction of blood-secretory proteins through self-training.BloodProST:通过自我训练预测血液分泌蛋白
Brief Bioinform. 2025 Jul 2;26(4). doi: 10.1093/bib/bbaf385.
2
Integrative proteomic analysis reveals the potential diagnostic marker and drug target for the Type-2 diabetes mellitus.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.
3
Comparative Analysis of Digestion Methods for Bile Proteomics: The Key to Unlocking Biliary Biomarker Potential.胆汁蛋白质组学消化方法的比较分析:解锁胆汁生物标志物潜力的关键。
Anal Chem. 2024 Sep 10;96(36):14393-14404. doi: 10.1021/acs.analchem.4c01766. Epub 2024 Aug 26.
4
Circulating Proteins as Diagnostic Markers in Gastric Cancer.循环蛋白作为胃癌的诊断标志物。
Int J Mol Sci. 2023 Nov 29;24(23):16931. doi: 10.3390/ijms242316931.
5
Metabolic crosstalk between skeletal muscle cells and liver through IRF4-FSTL1 in nonalcoholic steatohepatitis.非酒精性脂肪性肝炎中骨骼肌细胞和肝脏之间通过 IRF4-FSTL1 的代谢串扰。
Nat Commun. 2023 Sep 28;14(1):6047. doi: 10.1038/s41467-023-41832-3.
6
Biomarker Reproducibility Challenge: A Review of Non-Nucleotide Biomarker Discovery Protocols from Body Fluids in Breast Cancer Diagnosis.生物标志物再现性挑战:乳腺癌诊断中体液非核苷酸生物标志物发现方案综述
Cancers (Basel). 2023 May 16;15(10):2780. doi: 10.3390/cancers15102780.
7
Evaluation of pre-processing methods for tear fluid proteomics using proximity extension assays.使用临近延伸分析评估泪液蛋白质组学的预处理方法。
Sci Rep. 2023 Mar 17;13(1):4433. doi: 10.1038/s41598-023-31227-1.

本文引用的文献

1
DiCoExpress: a tool to process multifactorial RNAseq experiments from quality controls to co-expression analysis through differential analysis based on contrasts inside GLM models.DiCoExpress:一种用于处理多因素RNA测序实验的工具,从质量控制到通过基于广义线性模型(GLM)内对比的差异分析进行共表达分析。
Plant Methods. 2020 May 12;16:68. doi: 10.1186/s13007-020-00611-7. eCollection 2020.
2
Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) for Quantitative Proteomics.稳定同位素标记的氨基酸细胞培养 (SILAC) 用于定量蛋白质组学。
Adv Exp Med Biol. 2019;1140:531-539. doi: 10.1007/978-3-030-15950-4_31.
3
Self-Assembled STrap for Global Proteomics and Salivary Biomarker Discovery.用于全局蛋白质组学和唾液生物标志物发现的自组装 STrap。
J Proteome Res. 2019 Apr 5;18(4):1907-1915. doi: 10.1021/acs.jproteome.9b00037. Epub 2019 Mar 21.
4
iProX: an integrated proteome resource.iProX:一个综合蛋白质组资源库。
Nucleic Acids Res. 2019 Jan 8;47(D1):D1211-D1217. doi: 10.1093/nar/gky869.
5
Deep Dive on the Proteome of Human Cerebrospinal Fluid: A Valuable Data Resource for Biomarker Discovery and Missing Protein Identification.深入研究人类脑脊液蛋白质组:生物标志物发现和缺失蛋白鉴定的有价值数据资源。
J Proteome Res. 2018 Dec 7;17(12):4113-4126. doi: 10.1021/acs.jproteome.8b00300. Epub 2018 Aug 31.
6
Comparative proteomic analysis of human malignant ascitic fluids for the development of gastric cancer biomarkers.用于胃癌生物标志物开发的人恶性腹水的比较蛋白质组学分析
Clin Biochem. 2018 Jun;56:55-61. doi: 10.1016/j.clinbiochem.2018.04.003. Epub 2018 Apr 11.
7
The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.MaxQuant 计算平台用于基于质谱的鸟枪法蛋白质组学。
Nat Protoc. 2016 Dec;11(12):2301-2319. doi: 10.1038/nprot.2016.136. Epub 2016 Oct 27.
8
Synovial fluid proteome in rheumatoid arthritis.类风湿关节炎中的滑液蛋白质组
Clin Proteomics. 2016 Jun 5;13:12. doi: 10.1186/s12014-016-9113-1. eCollection 2016.
9
Urinary proteomics in chronic kidney disease: diagnosis and risk of progression beyond albuminuria.慢性肾脏病中的尿液蛋白质组学:超越蛋白尿的诊断与进展风险
Clin Proteomics. 2015 Aug 7;12(1):21. doi: 10.1186/s12014-015-9092-7. eCollection 2015.
10
Comprehensive protein profiling of synovial fluid in osteoarthritis following protein equalization.蛋白质均衡后骨关节炎患者滑液的综合蛋白质谱分析
Osteoarthritis Cartilage. 2015 Jul;23(7):1204-13. doi: 10.1016/j.joca.2015.03.019. Epub 2015 Mar 26.