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将微阵列报告基因与蛋白质功能相联系。

Linking microarray reporters with protein functions.

作者信息

Gaj Stan, van Erk Arie, van Haaften Rachel I M, Evelo Chris T A

机构信息

Nutrigenomics Consortium, Top Institute Food and Nutrition, Wageningen, The Netherlands.

出版信息

BMC Bioinformatics. 2007 Sep 26;8:360. doi: 10.1186/1471-2105-8-360.

Abstract

BACKGROUND

The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biological processes involved. Pathway visualization tools are used to connect gene expression data with existing biological pathways by using specific database identifiers that link reporters with elements in the pathways.

RESULTS

This paper proposes a novel method that aims to improve microarray reporter annotation by BLASTing the original reporter sequences against a species-specific EMBL subset, that was derived from and crosslinked back to the highly curated UniProt database. The resulting alignments were filtered using high quality alignment criteria and further compared with the outcome of a more traditional approach, where reporter sequences were BLASTed against EnsEMBL followed by locating the corresponding protein (UniProt) entry for the high quality hits. Combining the results of both methods resulted in successful annotation of > 58% of all reporter sequences with UniProt IDs on two commercial array platforms, increasing the amount of Incyte reporters that could be coupled to Gene Ontology terms from 32.7% to 58.3% and to a local GenMAPP pathway from 9.6% to 16.7%. For Agilent, 35.3% of the total reporters are now linked towards GO nodes and 7.1% on local pathways.

CONCLUSION

Our methods increased the annotation quality of microarray reporter sequences and allowed us to visualize more reporters using pathway visualization tools. Even in cases where the original reporter annotation showed the correct description the new identifiers often allowed improved pathway and Gene Ontology linking. These methods are freely available at http://www.bigcat.unimaas.nl/public/publications/Gaj_Annotation/.

摘要

背景

微阵列实验分析需要对微阵列报告基因进行准确且最新的功能注释,以优化对所涉及生物过程的解读。通路可视化工具通过使用将报告基因与通路中的元件相链接的特定数据库标识符,将基因表达数据与现有的生物通路相连接。

结果

本文提出了一种新方法,旨在通过将原始报告基因序列与特定物种的EMBL子集进行比对来改进微阵列报告基因注释,该子集源自高度精选的UniProt数据库并与其交叉链接。使用高质量比对标准对所得比对结果进行过滤,并进一步与一种更传统方法的结果进行比较,在传统方法中,先将报告基因序列与EnsEMBL进行比对,然后为高质量匹配结果查找相应的蛋白质(UniProt)条目。将两种方法的结果相结合,在两个商业阵列平台上成功注释了超过58%的所有报告基因序列,并赋予其UniProt ID,使能够与基因本体术语相关联的英赛特报告基因数量从32.7%增加到58.3%,与本地GenMAPP通路相关联的数量从9.6%增加到16.7%。对于安捷伦平台,现在35.3%的总报告基因与GO节点相关联,7.1%与本地通路相关联。

结论

我们的方法提高了微阵列报告基因序列的注释质量,并使我们能够使用通路可视化工具可视化更多的报告基因。即使在原始报告基因注释显示正确描述的情况下,新的标识符通常也能实现更好的通路和基因本体链接。这些方法可从http://www.bigcat.unimaas.nl/public/publications/Gaj_Annotation/免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adf7/2140066/46707b235b0a/1471-2105-8-360-1.jpg

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