• 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

器官异种组学:一个用于患者来源类器官和异种移植的综合蛋白质组知识库。

OrgXenomics: an integrated proteomic knowledge base for patient-derived organoid and xenograft.

作者信息

Zhang Yintao, Lian Xichen, Xu Hangwei, Zhu Sisi, Zhang Hao, Ni Ziheng, Fu Tingting, Liu Shuiping, Tao Lin, Zhou Ying, Zhu Feng

机构信息

College of Pharmaceutical Sciences, Department of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou 310058, China.

Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D504-D515. doi: 10.1093/nar/gkae861.

DOI:10.1093/nar/gkae861
PMID:39373514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11701540/
Abstract

Patient-derived models (PDMs, particularly organoids and xenografts) are irreplaceable tools for precision medicine, from target development to lead identification, then to preclinical evaluation, and finally to clinical decision-making. So far, PDM-based proteomics has emerged to be one of the cutting-edge directions and massive data have been accumulated. However, such PDM-based proteomic data have not been provided by any of the available databases, and proteomics profiles of all proteins in proteomic study are also completely absent from existing databases. Herein, an integrated database named 'OrgXenomics' was thus developed to provide the proteomic data for PDMs, which was unique in (a) explicitly describing the establishment detail for a wide array of models, (b) systematically providing the proteomic profiles (expression/function/interaction) for all proteins in studied proteomic analysis and (c) comprehensively giving the raw data for diverse organoid/xenograft-based proteomic studies of various diseases. Our OrgXenomics was expected to server as one good complement to existing proteomic databases, and had great implication for the practice of precision medicine, which could be accessed at: https://idrblab.org/orgxenomics/.

摘要

患者来源模型(PDM,特别是类器官和异种移植物)是精准医学中不可或缺的工具,从靶点开发到先导化合物识别,再到临床前评估,最终到临床决策。到目前为止,基于PDM的蛋白质组学已成为前沿方向之一,并积累了大量数据。然而,现有的任何数据库都未提供此类基于PDM的蛋白质组学数据,现有数据库中也完全没有蛋白质组学研究中所有蛋白质的蛋白质组学图谱。在此,开发了一个名为“OrgXenomics”的综合数据库,以提供PDM的蛋白质组学数据,该数据库的独特之处在于:(a)明确描述了大量模型的建立细节;(b)系统地提供了所研究蛋白质组分析中所有蛋白质的蛋白质组学图谱(表达/功能/相互作用);(c)全面给出了各种疾病基于类器官/异种移植物的蛋白质组学研究的原始数据。我们的OrgXenomics有望成为现有蛋白质组学数据库的良好补充,对精准医学实践具有重要意义,可通过以下网址访问:https://idrblab.org/orgxenomics/ 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/4605564e73e6/gkae861fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/beb7bb71893b/gkae861figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/7bc62d23639d/gkae861fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/012d1e8d66c2/gkae861fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/708d5961730d/gkae861fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/8911f570452b/gkae861fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/a0a78cc06c32/gkae861fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/4605564e73e6/gkae861fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/beb7bb71893b/gkae861figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/7bc62d23639d/gkae861fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/012d1e8d66c2/gkae861fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/708d5961730d/gkae861fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/8911f570452b/gkae861fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/a0a78cc06c32/gkae861fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a6/11701540/4605564e73e6/gkae861fig6.jpg

相似文献

1
OrgXenomics: an integrated proteomic knowledge base for patient-derived organoid and xenograft.器官异种组学:一个用于患者来源类器官和异种移植的综合蛋白质组知识库。
Nucleic Acids Res. 2025 Jan 6;53(D1):D504-D515. doi: 10.1093/nar/gkae861.
2
SingPro: a knowledge base providing single-cell proteomic data.SingPro:一个提供单细胞蛋白质组学数据的知识库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D552-D561. doi: 10.1093/nar/gkad830.
3
Integrated Bottom-Up and Top-Down Proteomics of Patient-Derived Breast Tumor Xenografts.患者来源的乳腺肿瘤异种移植的自下而上和自上而下综合蛋白质组学
Mol Cell Proteomics. 2016 Jan;15(1):45-56. doi: 10.1074/mcp.M114.047480. Epub 2015 Oct 26.
4
Personalized Proteome Profiles of Healthy and Tumor Human Colon Organoids Reveal Both Individual Diversity and Basic Features of Colorectal Cancer.健康和肿瘤人类结肠类器官的个性化蛋白质组谱揭示了结直肠癌的个体多样性和基本特征。
Cell Rep. 2017 Jan 3;18(1):263-274. doi: 10.1016/j.celrep.2016.12.016.
5
A SILAC-Based Method for Quantitative Proteomic Analysis of Intestinal Organoids.基于 SILAC 的肠道类器官定量蛋白质组学分析方法。
Sci Rep. 2016 Nov 30;6:38195. doi: 10.1038/srep38195.
6
Use of conditional reprogramming cell, patient derived xenograft and organoid for drug screening for individualized prostate cancer therapy: Current and future perspectives (Review).利用条件重编程细胞、患者来源的异种移植物和类器官进行个体化前列腺癌治疗的药物筛选:现状和未来展望(综述)。
Int J Oncol. 2022 May;60(5). doi: 10.3892/ijo.2022.5342. Epub 2022 Mar 24.
7
Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology.患者来源的类器官和原发及复发性脑胶质瘤的原位异种移植为精准肿瘤学提供了相关的患者替身。
Acta Neuropathol. 2020 Dec;140(6):919-949. doi: 10.1007/s00401-020-02226-7. Epub 2020 Oct 3.
8
In-Depth Comparison of Matrigel Dissolving Methods on Proteomic Profiling of Organoids.深入比较基质胶溶解方法对类器官蛋白质组学分析的影响
Mol Cell Proteomics. 2022 Jan;21(1):100181. doi: 10.1016/j.mcpro.2021.100181. Epub 2021 Dec 3.
9
A synopsis of prostate organoid methodologies, applications, and limitations.前列腺类器官方法学、应用及局限性概述。
Prostate. 2020 May;80(6):518-526. doi: 10.1002/pros.23966. Epub 2020 Feb 21.
10
Xenograft and organoid models in developing precision medicine for gastric cancer (Review).异种移植和类器官模型在胃癌精准医学发展中的应用(综述)。
Int J Oncol. 2024 Apr;64(4). doi: 10.3892/ijo.2024.5629. Epub 2024 Feb 23.

引用本文的文献

1
Organoid models in oncology: advancing precision cancer therapy and vaccine development.肿瘤学中的类器官模型:推动精准癌症治疗和疫苗开发。
Cancer Biol Med. 2025 Jul 24;22(8):903-27. doi: 10.20892/j.issn.2095-3941.2025.0127.

本文引用的文献

1
AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding.AnnoPRO:一种基于多尺度蛋白质表示和双通道编码混合深度学习的蛋白质功能注释策略。
Genome Biol. 2024 Feb 1;25(1):41. doi: 10.1186/s13059-024-03166-1.
2
Prospective observational study on biomarkers of response in pancreatic ductal adenocarcinoma.前瞻性观察研究胰腺导管腺癌的反应生物标志物。
Nat Med. 2024 Mar;30(3):749-761. doi: 10.1038/s41591-023-02790-x. Epub 2024 Jan 29.
3
Database resources of the National Center for Biotechnology Information.
国家生物技术信息中心数据库资源。
Nucleic Acids Res. 2024 Jan 5;52(D1):D33-D43. doi: 10.1093/nar/gkad1044.
4
RefSeq and the prokaryotic genome annotation pipeline in the age of metagenomes.RefSeq 与宏基因组时代的原核生物基因组注释流程。
Nucleic Acids Res. 2024 Jan 5;52(D1):D762-D769. doi: 10.1093/nar/gkad988.
5
Ensembl 2024.Ensembl 2024.
Nucleic Acids Res. 2024 Jan 5;52(D1):D891-D899. doi: 10.1093/nar/gkad1049.
6
The Reactome Pathway Knowledgebase 2024.Reactome 通路知识库 2024.
Nucleic Acids Res. 2024 Jan 5;52(D1):D672-D678. doi: 10.1093/nar/gkad1025.
7
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.2024 年的 AlphaFold 蛋白质结构数据库:为超过 2.14 亿个蛋白质序列提供结构覆盖。
Nucleic Acids Res. 2024 Jan 5;52(D1):D368-D375. doi: 10.1093/nar/gkad1011.
8
A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder.基于卷积自动编码器的 RNA 及其相关相互作用的特定任务编码算法。
Nucleic Acids Res. 2023 Nov 27;51(21):e110. doi: 10.1093/nar/gkad929.
9
TheMarker: a comprehensive database of therapeutic biomarkers.TheMarker:一个全面的治疗性生物标志物数据库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1450-D1464. doi: 10.1093/nar/gkad862.
10
ADCdb: the database of antibody-drug conjugates.ADCdb:抗体偶联药物数据库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1097-D1109. doi: 10.1093/nar/gkad831.