• 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

使用化学蛋白质组学方法鉴定抗癌天然产物的靶点

Target identification of anticancer natural products using a chemical proteomics approach.

作者信息

Bhukta Swadhapriya, Gopinath Pushparathinam, Dandela Rambabu

机构信息

Department of Industrial and Engineering Chemistry, Institute of Chemical Technology Indianoil Odisha Campus, Samantpuri Bhubaneswar 751013 India

Department of Chemistry, SRM-Institute of Science and Technology Kattankulathur 603203 Chennai Tamilnadu India.

出版信息

RSC Adv. 2021 Aug 18;11(45):27950-27964. doi: 10.1039/d1ra04283a. eCollection 2021 Aug 16.

DOI:10.1039/d1ra04283a
PMID:35480761
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9038044/
Abstract

In recent years, there has been a strong demand worldwide for the identification and development of potential anticancer drugs based on natural products. Natural products have been explored for their diverse biological and therapeutic applications from ancient time. In order to enhance the efficacy and selectivity and to minimize the undesired side effects of anti cancer natural products (ANPs), it is essential to understand their target proteins and their mechanistic pathway. Chemical proteomics is one of the most powerful tools to connect ANP target identification and quantification where labeling and non-labeling based approaches have been used. Herein, we have discussed the various strategies to systemically develop selective ANP based chemical probes to characterise their specific and non-specific target proteins using a chemical proteomic approach in various cancer cell lysates.

摘要

近年来,全球对基于天然产物的潜在抗癌药物的鉴定和开发有着强烈的需求。从古代起,人们就探索了天然产物的多种生物学和治疗应用。为了提高抗癌天然产物(ANPs)的疗效和选择性,并尽量减少其不良副作用,了解它们的靶蛋白及其作用机制至关重要。化学蛋白质组学是连接ANP靶点鉴定和定量的最强大工具之一,其中已使用了基于标记和非标记的方法。在此,我们讨论了各种策略,以系统地开发基于选择性ANP的化学探针,使用化学蛋白质组学方法在各种癌细胞裂解物中表征其特异性和非特异性靶蛋白。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/244a2369bd38/d1ra04283a-p3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/93fb8d61b576/d1ra04283a-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/57473203f96e/d1ra04283a-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/eadf16221c2d/d1ra04283a-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/b82adf49051a/d1ra04283a-s1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/fc864e7f2f5a/d1ra04283a-s2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/73802087f5b8/d1ra04283a-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/7bd8011230f8/d1ra04283a-s3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/d4139e29bb65/d1ra04283a-s4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/6cc8b8344fa8/d1ra04283a-s5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/794f6f57e5ce/d1ra04283a-s6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/7854a8a790dd/d1ra04283a-s7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/64c95f5e8fc3/d1ra04283a-s8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/16fa6ed90c8a/d1ra04283a-s9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/89784e30bdca/d1ra04283a-p1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/f5fcb9d30b98/d1ra04283a-p2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/244a2369bd38/d1ra04283a-p3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/93fb8d61b576/d1ra04283a-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/57473203f96e/d1ra04283a-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/eadf16221c2d/d1ra04283a-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/b82adf49051a/d1ra04283a-s1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/fc864e7f2f5a/d1ra04283a-s2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/73802087f5b8/d1ra04283a-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/7bd8011230f8/d1ra04283a-s3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/d4139e29bb65/d1ra04283a-s4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/6cc8b8344fa8/d1ra04283a-s5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/794f6f57e5ce/d1ra04283a-s6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/7854a8a790dd/d1ra04283a-s7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/64c95f5e8fc3/d1ra04283a-s8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/16fa6ed90c8a/d1ra04283a-s9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/89784e30bdca/d1ra04283a-p1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/f5fcb9d30b98/d1ra04283a-p2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/9038044/244a2369bd38/d1ra04283a-p3.jpg

相似文献

1
Target identification of anticancer natural products using a chemical proteomics approach.使用化学蛋白质组学方法鉴定抗癌天然产物的靶点
RSC Adv. 2021 Aug 18;11(45):27950-27964. doi: 10.1039/d1ra04283a. eCollection 2021 Aug 16.
2
Target identification of natural medicine with chemical proteomics approach: probe synthesis, target fishing and protein identification.采用化学蛋白质组学方法的天然药物靶标鉴定:探针合成、靶标钓取和蛋白质鉴定。
Signal Transduct Target Ther. 2020 May 21;5(1):72. doi: 10.1038/s41392-020-0186-y.
3
Chemical proteomics approaches for identifying the cellular targets of natural products.用于鉴定天然产物细胞靶点的化学蛋白质组学方法。
Nat Prod Rep. 2016 May 4;33(5):681-708. doi: 10.1039/c6np00001k.
4
Chemical proteomics reveals HSP70 1A as a target for the anticancer diterpene oridonin in Jurkat cells.化学蛋白质组学揭示 HSP70 1A 是 Jurkat 细胞中抗癌二萜化合物冬凌草甲素的靶标。
J Proteomics. 2013 Apr 26;82:14-26. doi: 10.1016/j.jprot.2013.01.030. Epub 2013 Feb 15.
5
Identification and validation nucleolin as a target of curcumol in nasopharyngeal carcinoma cells.鉴定和验证核仁素为姜黄素在鼻咽癌细胞中的靶标。
J Proteomics. 2018 Jun 30;182:1-11. doi: 10.1016/j.jprot.2018.04.025. Epub 2018 Apr 22.
6
Chemical proteomic strategies for the discovery and development of anticancer drugs.用于抗癌药物发现与开发的化学蛋白质组学策略。
Proteomics. 2014 Mar;14(4-5):399-411. doi: 10.1002/pmic.201300261.
7
A new chemical probe for quantitative proteomic profiling of fibroblast growth factor receptor and its inhibitors.一种用于成纤维细胞生长因子受体及其抑制剂定量蛋白质组学分析的新型化学探针。
J Proteomics. 2014 Jan 16;96:44-55. doi: 10.1016/j.jprot.2013.10.031. Epub 2013 Oct 31.
8
Drug Target Identification Using an iTRAQ-Based Quantitative Chemical Proteomics Approach-Based on a Target Profiling Study of Andrographolide.基于穿心莲内酯靶点分析研究,采用基于iTRAQ的定量化学蛋白质组学方法进行药物靶点鉴定。
Methods Enzymol. 2017;586:291-309. doi: 10.1016/bs.mie.2016.09.049. Epub 2016 Dec 2.
9
[Development of antituberculous drugs: current status and future prospects].[抗结核药物的研发:现状与未来前景]
Kekkaku. 2006 Dec;81(12):753-74.
10
Target identification of natural and traditional medicines with quantitative chemical proteomics approaches.基于定量化学蛋白质组学方法的天然药物和传统药物的靶标鉴定。
Pharmacol Ther. 2016 Jun;162:10-22. doi: 10.1016/j.pharmthera.2016.01.010. Epub 2016 Jan 22.

引用本文的文献

1
Target identification of natural products in cancer with chemical proteomics and artificial intelligence approaches.利用化学蛋白质组学和人工智能方法鉴定癌症中天然产物的靶点
Cancer Biol Med. 2025 Jul 9;22(6):549-97. doi: 10.20892/j.issn.2095-3941.2025.0145.
2
Multi-omics approaches: transforming the landscape of natural product isolation.多组学方法:改变天然产物分离的局面
Funct Integr Genomics. 2025 Jun 19;25(1):132. doi: 10.1007/s10142-025-01645-7.
3
Exploring the Antiangiogenic and Anti-Inflammatory Potential of Homoisoflavonoids: Target Identification Using Biotin Probes.

本文引用的文献

1
Drug resistance and combating drug resistance in cancer.癌症中的耐药性与抗耐药性
Cancer Drug Resist. 2019;2(2):141-160. doi: 10.20517/cdr.2019.10. Epub 2019 Jun 19.
2
Electrophilic Natural Products as Drug Discovery Tools.亲电天然产物作为药物发现工具。
Trends Pharmacol Sci. 2021 Jun;42(6):434-447. doi: 10.1016/j.tips.2021.03.008. Epub 2021 Apr 24.
3
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020:全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
探索异黄酮类化合物的抗血管生成和抗炎潜力:使用生物素探针进行的靶标鉴定。
Biomolecules. 2024 Jun 30;14(7):785. doi: 10.3390/biom14070785.
4
Advances, opportunities, and challenges in methods for interrogating the structure activity relationships of natural products.天然产物结构-活性关系研究方法的进展、机遇与挑战。
Nat Prod Rep. 2024 Oct 17;41(10):1543-1578. doi: 10.1039/d4np00009a.
5
Targeting Apoptotic Pathway of Cancer Cells with Phytochemicals and Plant-Based Nanomaterials.利用植物化学物质和基于植物的纳米材料靶向癌细胞的凋亡途径。
Biomolecules. 2023 Jan 18;13(2):194. doi: 10.3390/biom13020194.
6
The Regulatory Network of Gastric Cancer Pathogenesis and Its Potential Therapeutic Active Ingredients of Traditional Chinese Medicine Based on Bioinformatics, Molecular Docking, and Molecular Dynamics Simulation.基于生物信息学、分子对接和分子动力学模拟的胃癌发病机制调控网络及其潜在的中药治疗活性成分
Evid Based Complement Alternat Med. 2022 Nov 26;2022:5005498. doi: 10.1155/2022/5005498. eCollection 2022.
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
4
Advances in the research on the targets of anti-malaria actions of artemisinin.青蒿素抗疟作用靶点研究进展。
Pharmacol Ther. 2020 Dec;216:107697. doi: 10.1016/j.pharmthera.2020.107697. Epub 2020 Oct 6.
5
Target identification of natural medicine with chemical proteomics approach: probe synthesis, target fishing and protein identification.采用化学蛋白质组学方法的天然药物靶标鉴定:探针合成、靶标钓取和蛋白质鉴定。
Signal Transduct Target Ther. 2020 May 21;5(1):72. doi: 10.1038/s41392-020-0186-y.
6
Combined Omics Approach Identifies Gambogic Acid and Related Xanthones as Covalent Inhibitors of the Serine Palmitoyltransferase Complex.联合组学方法鉴定藤黄酸和相关紫檀芪为丝氨酸棕榈酰转移酶复合物的共价抑制剂。
Cell Chem Biol. 2020 May 21;27(5):586-597.e12. doi: 10.1016/j.chembiol.2020.03.008. Epub 2020 Apr 23.
7
New insights into acquired endocrine resistance of breast cancer.乳腺癌获得性内分泌耐药的新见解。
Cancer Drug Resist. 2019;2(2):198-209. doi: 10.20517/cdr.2019.13. Epub 2019 Jun 19.
8
Solid-Supported Proteins in the Liquid Chromatography Domain to Probe Ligand-Target Interactions.液相色谱领域中用于探测配体-靶点相互作用的固相支持蛋白质
Front Chem. 2019 Nov 15;7:752. doi: 10.3389/fchem.2019.00752. eCollection 2019.
9
Affinity-Based Protein Profiling Reveals Cellular Targets of Photoreactive Anticancer Inhibitors.基于亲和力的蛋白质谱分析揭示光反应性抗癌抑制剂的细胞靶标。
ACS Chem Biol. 2019 Dec 20;14(12):2546-2552. doi: 10.1021/acschembio.9b00784. Epub 2019 Nov 26.
10
The Cytotoxic Natural Product Vioprolide A Targets Nucleolar Protein 14, Which Is Essential for Ribosome Biogenesis.细胞毒性天然产物威罗普利德 A 靶向核仁蛋白 14,核仁蛋白 14 对于核糖体生物发生是必需的。
Angew Chem Int Ed Engl. 2020 Jan 20;59(4):1595-1600. doi: 10.1002/anie.201911158. Epub 2019 Dec 12.