Suppr超能文献

利用 Reactome-IDG 网络门户阐明暗蛋白质的功能。

Illuminate the Functions of Dark Proteins Using the Reactome-IDG Web Portal.

机构信息

Oregon Health & Science University, Portland, Oregon.

NYU Langone Health, New York, New York.

出版信息

Curr Protoc. 2023 Jul;3(7):e845. doi: 10.1002/cpz1.845.

Abstract

Understudied or dark proteins have the potential to shed light on as-yet undiscovered molecular mechanisms that underlie phenotypes and suggest innovative therapeutic approaches for many diseases. The Reactome-IDG (Illuminating the Druggable Genome) project aims to place dark proteins in the context of manually curated, highly reliable pathways in Reactome, the most comprehensive, open-source biological pathway knowledgebase, facilitating the understanding functions and predicting therapeutic potentials of dark proteins. The Reactome-IDG web portal, deployed at https://idg.reactome.org, provides a simple, interactive web page for users to search pathways that may functionally interact with dark proteins, enabling the prediction of functions of dark proteins in the context of Reactome pathways. Enhanced visualization features implemented at the portal allow users to investigate the functional contexts for dark proteins based on tissue-specific gene or protein expression, drug-target interactions, or protein or gene pairwise relationships in the original Reactome's systems biology graph notation (SBGN) diagrams or the new simplified functional interaction (FI) network view of pathways. The protocols in this chapter describe step-by-step procedures to use the web portal to learn biological functions of dark proteins in the context of Reactome pathways. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Search for interacting pathways of a protein Support Protocol: Interacting pathway results for an annotated protein Alternate Protocol: Use individual pairwise relationships to predict interacting pathways of a protein Basic Protocol 2: Using the IDG pathway browser to study interacting pathways Basic Protocol 3: Overlaying tissue-specific expression data Basic Protocol 4: Overlaying protein/gene pairwise relationships in the pathway context Basic Protocol 5: Visualizing drug/target interactions.

摘要

未被充分研究或未知的蛋白质有可能揭示尚未被发现的潜在分子机制,这些机制是许多疾病表型的基础,并为许多疾病提供创新的治疗方法。Reactome-IDG(照亮可成药基因组)项目旨在将暗蛋白置于 Reactome 中手工整理的、高度可靠的途径背景下,Reactome 是最全面的开源生物途径知识库,有助于理解暗蛋白的功能并预测其治疗潜力。Reactome-IDG 门户网站部署在 https://idg.reactome.org,为用户提供了一个简单的交互网页,用于搜索可能与暗蛋白功能相互作用的途径,从而可以预测暗蛋白在 Reactome 途径中的功能。该门户实施的增强可视化功能允许用户根据组织特异性基因或蛋白质表达、药物靶点相互作用或蛋白质或基因在原始 Reactome 的系统生物学图形表示法 (SBGN) 图或新的简化功能相互作用 (FI) 途径网络视图中的成对关系,研究暗蛋白的功能背景。本章中的方案描述了使用门户网站在 Reactome 途径的背景下学习暗蛋白生物学功能的逐步过程。© 2023 Wiley Periodicals LLC。基础方案 1:搜索蛋白质相互作用的途径 支持方案:注释蛋白质的相互作用途径结果 备选方案:使用单个成对关系预测蛋白质的相互作用途径 基础方案 2:使用 IDG 途径浏览器研究相互作用的途径 基础方案 3:叠加组织特异性表达数据 基础方案 4:在途径上下文中叠加蛋白质/基因成对关系 基础方案 5:可视化药物/靶点相互作用。

相似文献

1
Illuminate the Functions of Dark Proteins Using the Reactome-IDG Web Portal.
Curr Protoc. 2023 Jul;3(7):e845. doi: 10.1002/cpz1.845.
2
Illuminating Dark Proteins using Reactome Pathways.
bioRxiv. 2023 Jun 5:2023.06.05.543335. doi: 10.1101/2023.06.05.543335.
3
Using the Reactome Database.
Curr Protoc. 2023 Apr;3(4):e722. doi: 10.1002/cpz1.722.
4
Reactome pathway analysis to enrich biological discovery in proteomics data sets.
Proteomics. 2011 Sep;11(18):3598-613. doi: 10.1002/pmic.201100066.
5
The reactome pathway knowledgebase 2022.
Nucleic Acids Res. 2022 Jan 7;50(D1):D687-D692. doi: 10.1093/nar/gkab1028.
6
Getting Started with the IDG KMC Datasets and Tools.
Curr Protoc. 2022 Jan;2(1):e355. doi: 10.1002/cpz1.355.
7
Reactome knowledgebase of human biological pathways and processes.
Nucleic Acids Res. 2009 Jan;37(Database issue):D619-22. doi: 10.1093/nar/gkn863. Epub 2008 Nov 3.
8
The Reactome Pathway Knowledgebase.
Nucleic Acids Res. 2018 Jan 4;46(D1):D649-D655. doi: 10.1093/nar/gkx1132.
9
Plant Reactome: a resource for plant pathways and comparative analysis.
Nucleic Acids Res. 2017 Jan 4;45(D1):D1029-D1039. doi: 10.1093/nar/gkw932. Epub 2016 Oct 30.
10
Reactome: a database of reactions, pathways and biological processes.
Nucleic Acids Res. 2011 Jan;39(Database issue):D691-7. doi: 10.1093/nar/gkq1018. Epub 2010 Nov 9.

引用本文的文献

1
State of the interactomes: an evaluation of molecular networks for generating biological insights.
Mol Syst Biol. 2025 Jan;21(1):1-29. doi: 10.1038/s44320-024-00077-y. Epub 2024 Dec 9.
2
The Reactome Pathway Knowledgebase 2024.
Nucleic Acids Res. 2024 Jan 5;52(D1):D672-D678. doi: 10.1093/nar/gkad1025.

本文引用的文献

1
An open invitation to the Understudied Proteins Initiative.
Nat Biotechnol. 2022 Jun;40(6):815-817. doi: 10.1038/s41587-022-01316-z.
2
The reactome pathway knowledgebase 2022.
Nucleic Acids Res. 2022 Jan 7;50(D1):D687-D692. doi: 10.1093/nar/gkab1028.
3
TCRD and Pharos 2021: mining the human proteome for disease biology.
Nucleic Acids Res. 2021 Jan 8;49(D1):D1334-D1346. doi: 10.1093/nar/gkaa993.
4
How to Illuminate the Druggable Genome Using Pharos.
Curr Protoc Bioinformatics. 2020 Mar;69(1):e92. doi: 10.1002/cpbi.92.
5
Unexplored therapeutic opportunities in the human genome.
Nat Rev Drug Discov. 2018 May;17(5):317-332. doi: 10.1038/nrd.2018.14. Epub 2018 Mar 23.
6
Functional Interaction Network Construction and Analysis for Disease Discovery.
Methods Mol Biol. 2017;1558:235-253. doi: 10.1007/978-1-4939-6783-4_11.
7
Proteomics. Tissue-based map of the human proteome.
Science. 2015 Jan 23;347(6220):1260419. doi: 10.1126/science.1260419.
8
ReactomeFIViz: a Cytoscape app for pathway and network-based data analysis.
F1000Res. 2014 Jul 1;3:146. doi: 10.12688/f1000research.4431.2. eCollection 2014.
9
The Genotype-Tissue Expression (GTEx) project.
Nat Genet. 2013 Jun;45(6):580-5. doi: 10.1038/ng.2653.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验