Haw Robin, Stein Lincoln
Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Curr Protoc Bioinformatics. 2012 Jun;Chapter 8:8.7.1-8.7.23. doi: 10.1002/0471250953.bi0807s38.
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.
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。