MPEA: Metabolite pathway enrichment analysis

Matti Kankainen (Corresponding Author), Peddinti Gopalacharyulu, Liisa Holm, Matej Orešič

Research output: Contribution to journalArticleScientificpeer-review

52 Citations (Scopus)

Abstract

We present metabolite pathway enrichment analysis (MPEA) for the visualization and biological interpretation of metabolite data at the system level. Our tool follows the concept of gene set enrichment analysis (GSEA) and tests whether metabolites involved in some predefined pathway occur towards the top (or bottom) of a ranked query compound list. In particular, MPEA is designed to handle many-to-many relationships that may occur between the query compounds and metabolite annotations. For a demonstration, we analysed metabolite profiles of 14 twin pairs with differing body weights. MPEA found significant pathways from data that had no significant individual query compounds, its results were congruent with those discovered from transcriptomics data and it detected more pathways than the competing metabolic pathway method did.
Original languageEnglish
Pages (from-to)1878-1879
JournalBioinformatics
Volume27
Issue number13
DOIs
Publication statusPublished - 2011
MoE publication typeA1 Journal article-refereed

    Fingerprint

Cite this

Kankainen, M., Gopalacharyulu, P., Holm, L., & Orešič, M. (2011). MPEA: Metabolite pathway enrichment analysis. Bioinformatics, 27(13), 1878-1879. https://doi.org/10.1093/bioinformatics/btr278