Suppr超能文献

使用Reactome数据库。

Using the reactome database.

作者信息

Haw Robin, Stein Lincoln

机构信息

Ontario Institute for Cancer Research, Toronto, Ontario, Canada.

出版信息

Curr Protoc Bioinformatics. 2012 Jun;Chapter 8:8.7.1-8.7.23. doi: 10.1002/0471250953.bi0807s38.

Abstract

There is considerable interest in the bioinformatics community in creating pathway databases. The Reactome project (a collaboration between the Ontario Institute for Cancer Research, Cold Spring Harbor Laboratory, New York University Medical Center, and the European Bioinformatics Institute) is one such pathway database and collects structured information on all the biological pathways and processes in the human. It is an expert-authored and peer-reviewed, curated collection of well-documented molecular reactions that span the gamut from simple intermediate metabolism to signaling pathways and complex cellular events. This information is supplemented with likely orthologous molecular reactions in mouse, rat, zebrafish, worm, and other model organisms. This unit describes how to use the Reactome database to learn the steps of a biological pathway; navigate and browse through the Reactome database; identify the pathways in which a molecule of interest is involved; use the Pathway and Expression analysis tools to search the database for and visualize possible connections within user-supplied experimental data set and Reactome pathways; and the Species Comparison tool to compare human and model organism pathways.

摘要

生物信息学界对创建通路数据库有着浓厚的兴趣。Reactome项目(由安大略癌症研究所、冷泉港实验室、纽约大学医学中心和欧洲生物信息学研究所合作开展)就是这样一个通路数据库,它收集了关于人类所有生物通路和过程的结构化信息。它是一个由专家撰写、同行评审且经过精心策划的集合,包含了记录详尽的分子反应,范围涵盖从简单的中间代谢到信号通路以及复杂的细胞事件。这些信息还补充了小鼠、大鼠、斑马鱼、蠕虫和其他模式生物中可能的直系同源分子反应。本单元介绍了如何使用Reactome数据库来了解生物通路的步骤;在Reactome数据库中进行导航和浏览;识别感兴趣的分子所涉及的通路;使用通路和表达分析工具在数据库中搜索并可视化用户提供的实验数据集与Reactome通路之间的可能联系;以及使用物种比较工具来比较人类和模式生物的通路。

相似文献

1
Using the reactome database.
Curr Protoc Bioinformatics. 2012 Jun;Chapter 8:8.7.1-8.7.23. doi: 10.1002/0471250953.bi0807s38.
2
Using the Reactome database.
Curr Protoc Bioinformatics. 2004 Oct;Chapter 8:Unit 8.7. doi: 10.1002/0471250953.bi0807s7.
3
Using the Reactome Database.
Curr Protoc. 2023 Apr;3(4):e722. doi: 10.1002/cpz1.722.
4
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.
5
Reactome pathway analysis to enrich biological discovery in proteomics data sets.
Proteomics. 2011 Sep;11(18):3598-613. doi: 10.1002/pmic.201100066.
6
The Reactome BioMart.
Database (Oxford). 2011 Oct 19;2011:bar031. doi: 10.1093/database/bar031. Print 2011.
7
Interleukins and their signaling pathways in the Reactome biological pathway database.
J Allergy Clin Immunol. 2018 Apr;141(4):1411-1416. doi: 10.1016/j.jaci.2017.12.992. Epub 2018 Feb 21.
8
Reactome: a knowledgebase of biological pathways.
Nucleic Acids Res. 2005 Jan 1;33(Database issue):D428-32. doi: 10.1093/nar/gki072.
9
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.
10
Installing a local copy of the Reactome Web site and database.
Curr Protoc Bioinformatics. 2008 Mar;Chapter 9:Unit 9.10. doi: 10.1002/0471250953.bi0910s21.

引用本文的文献

1
Defining the role of 2,2',4,4'-tetrabromodiphenyl ether in 3T3-L1 cellular differentiation by transcriptome sequencing analysis.
Adipocyte. 2024 Dec;13(1):2430717. doi: 10.1080/21623945.2024.2430717. Epub 2024 Dec 7.
4
Proteomic Analysis of Cardiac Adaptation to Exercise by High Resolution Mass Spectrometry.
Front Mol Biosci. 2021 Sep 1;8:723858. doi: 10.3389/fmolb.2021.723858. eCollection 2021.
6
9
Bioinformatics analysis of gene expression data for the identification of critical genes in breast invasive carcinoma.
Mol Med Rep. 2017 Dec;16(6):8657-8664. doi: 10.3892/mmr.2017.7717. Epub 2017 Oct 4.
10
A Review of Bioinformatics Tools for Bio-Prospecting from Metagenomic Sequence Data.
Front Genet. 2017 Mar 6;8:23. doi: 10.3389/fgene.2017.00023. eCollection 2017.

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