• 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

蛋白质组学:新视角,新生物医学机遇。

Proteomics: new perspectives, new biomedical opportunities.

作者信息

Banks R E, Dunn M J, Hochstrasser D F, Sanchez J C, Blackstock W, Pappin D J, Selby P J

机构信息

ICRF Cancer Medicine Research Unit, St James's University Hospital, Leeds, UK.

出版信息

Lancet. 2000 Nov 18;356(9243):1749-56. doi: 10.1016/S0140-6736(00)03214-1.

DOI:10.1016/S0140-6736(00)03214-1
PMID:11095271
Abstract

Proteomics-based approaches, which examine the expressed proteins of a tissue or cell type, complement the genome initiatives and are increasingly being used to address biomedical questions. Proteins are the main functional output, and the genetic code cannot always indicate which proteins are expressed, in what quantity, and in what form. For example, post-translational modifications of proteins, such as phosphorylation or glycosylation, are very important in determining protein function. Similarly, the effects of environmental factors or multigenic processes such as ageing or disease cannot be assessed simply by examination of the genome alone. This review describes the underlying technology and illustrates several areas of biomedical research, ranging from pathogenesis of neurological disorders to drug and vaccine design, in which potential clinical applications are being explored.

摘要

基于蛋白质组学的方法用于检测组织或细胞类型中表达的蛋白质,它是对基因组计划的补充,并且越来越多地被用于解决生物医学问题。蛋白质是主要的功能输出物,而遗传密码并不总能指示哪些蛋白质被表达、表达量以及表达形式。例如,蛋白质的翻译后修饰,如磷酸化或糖基化,在确定蛋白质功能方面非常重要。同样,环境因素或多基因过程(如衰老或疾病)的影响不能仅通过检查基因组来简单评估。本综述描述了相关基础技术,并举例说明了生物医学研究的几个领域,从神经疾病的发病机制到药物和疫苗设计,其中正在探索潜在的临床应用。

相似文献

1
Proteomics: new perspectives, new biomedical opportunities.蛋白质组学:新视角,新生物医学机遇。
Lancet. 2000 Nov 18;356(9243):1749-56. doi: 10.1016/S0140-6736(00)03214-1.
2
2D electrophoresis-based expression proteomics: a microbiologist's perspective.基于 2D 电泳的表达蛋白质组学:微生物学家的视角。
Expert Rev Proteomics. 2010 Dec;7(6):943-53. doi: 10.1586/epr.10.76.
3
Subproteomics analysis of phosphorylated proteins: application to the study of B-lymphoblasts from a patient with Scott syndrome.磷酸化蛋白质的亚蛋白质组学分析:应用于一名患有斯科特综合征患者的B淋巴细胞母细胞研究。
Proteomics. 2002 Jul;2(7):828-38. doi: 10.1002/1615-9861(200207)2:7<828::AID-PROT828>3.0.CO;2-T.
4
Proteomic technology and its biomedical applications.蛋白质组学技术及其生物医学应用。
Sheng Wu Hua Xue Yu Sheng Wu Wu Li Xue Bao (Shanghai). 2003 Nov;35(11):965-75.
5
The evolution of two-dimensional gel electrophoresis - from proteomics to emerging alternative applications.二维凝胶电泳的演变——从蛋白质组学到新兴的替代应用。
J Chromatogr A. 2020 Mar 29;1615:460763. doi: 10.1016/j.chroma.2019.460763. Epub 2019 Dec 2.
6
Proteome and proteomics for the research on protein alterations in aging.
Ann N Y Acad Sci. 2001 Apr;928:71-8. doi: 10.1111/j.1749-6632.2001.tb05637.x.
7
Proteomics of the human pituitary tissue: bioanalytical methods and applications.人类垂体组织蛋白质组学:生物分析方法与应用
Bioanalysis. 2014;6(14):1989-2003. doi: 10.4155/bio.14.132.
8
[Identification of proteome molecules by proteomics using two-dimensional gel electrophoresis and MALDI-TOF MS].[利用二维凝胶电泳和基质辅助激光解吸电离飞行时间质谱的蛋白质组学技术鉴定蛋白质组分子]
Exp Mol Med. 2001 Apr 21;33(1 Suppl):5-18.
9
Proteomic studies in plants.植物蛋白质组学研究。
J Biochem Mol Biol. 2004 Jan 31;37(1):133-8. doi: 10.5483/bmbrep.2004.37.1.133.
10
Protein detection and quantitation technologies for gel-based proteome analysis.用于基于凝胶的蛋白质组分析的蛋白质检测和定量技术。
Methods Mol Biol. 2009;564:59-82. doi: 10.1007/978-1-60761-157-8_4.

引用本文的文献

1
Protein-based Diagnosis and Analysis of Co-pathologies Across Neurodegenerative Diseases: Large-Scale AI-Boosted CSF and Plasma Classification.基于蛋白质的神经退行性疾病共病诊断与分析:大规模人工智能助力脑脊液和血浆分类
Res Sq. 2025 Jul 31:rs.3.rs-6933762. doi: 10.21203/rs.3.rs-6933762/v1.
2
Protein-based Diagnosis and Analysis of Co-pathologies Across Neurodegenerative Diseases: Large-Scale AI-Boosted CSF and Plasma Classification.基于蛋白质的神经退行性疾病共病诊断与分析:大规模人工智能助力脑脊液和血浆分类
medRxiv. 2025 Jul 10:2025.07.09.25331192. doi: 10.1101/2025.07.09.25331192.
3
Population Pharmacokinetic/Toxicodynamic Model for Polymyxin B in Critically Ill Patients to Identify the Risk of Nephrotoxicity.
危重症患者多粘菌素B的群体药代动力学/药效学模型以识别肾毒性风险
Clin Pharmacol Ther. 2025 Jun 16. doi: 10.1002/cpt.3729.
4
Spatial Multiomics Toward Understanding Neurological Systems.用于理解神经系统的空间多组学
J Mass Spectrom. 2025 Jun;60(6):e5143. doi: 10.1002/jms.5143.
5
Identification of peptidome-based biomarkers of cassava mosaic disease resistance in different cassava varieties.不同木薯品种中基于肽组的木薯花叶病抗性生物标志物的鉴定
Sci Rep. 2025 Apr 12;15(1):12653. doi: 10.1038/s41598-025-97452-y.
6
Proteomic analysis reveals key differences in pro-stromal corneal tissue between highly myopic males and females.蛋白质组学分析揭示了高度近视男性和女性之间角膜前基质组织的关键差异。
Front Med (Lausanne). 2024 Aug 16;11:1406748. doi: 10.3389/fmed.2024.1406748. eCollection 2024.
7
Recent advances in minimally invasive biomarkers of OSCC: from generalized to personalized approach.口腔鳞状细胞癌微创生物标志物的最新进展:从通用方法到个性化方法。
Front Oral Health. 2024 Aug 2;5:1426507. doi: 10.3389/froh.2024.1426507. eCollection 2024.
8
The prowess of metabolomics in cancer research: current trends, challenges and future perspectives.代谢组学在癌症研究中的优势:当前趋势、挑战与未来展望。
Mol Cell Biochem. 2025 Feb;480(2):693-720. doi: 10.1007/s11010-024-05041-w. Epub 2024 May 30.
9
Protein expression patterns and metal metabolites in a protogynous hermaphrodite fish, the ricefield eel (Monopterus albus).雌雄同体鱼类——白鳝(Monopterus albus)的蛋白表达模式和金属代谢产物。
BMC Genomics. 2024 May 21;25(1):500. doi: 10.1186/s12864-024-10397-w.
10
A systematic analysis of regression models for protein engineering.蛋白质工程中回归模型的系统分析。
PLoS Comput Biol. 2024 May 3;20(5):e1012061. doi: 10.1371/journal.pcbi.1012061. eCollection 2024 May.