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Perseus plugin "Metis" for metabolic-pathway-centered quantitative multi-omics data analysis for static and time-series experimental designs.
- Source :
-
Cell reports methods [Cell Rep Methods] 2022 Apr 14; Vol. 2 (4), pp. 100198. Date of Electronic Publication: 2022 Apr 14 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- We introduce Metis, a new plugin for the Perseus software aimed at analyzing quantitative multi-omics data based on metabolic pathways. Data from different omics types are connected through reactions of a genome-scale metabolic-pathway reconstruction. Metabolite concentrations connect through the reactants, while transcript, protein, and protein post-translational modification (PTM) data are associated through the enzymes catalyzing the reactions. Supported experimental designs include static comparative studies and time-series data. As an example for the latter, we combine circadian mouse liver multi-omics data and study the contribution of cycles of phosphoproteome and metabolome to enzyme activity regulation. Our analysis resulted in 52 pairs of cycling phosphosites and metabolites connected through a reaction. The time lags between phosphorylation and metabolite peak show non-uniform behavior, indicating a major contribution of phosphorylation in the modulation of enzymatic activity.<br />Competing Interests: The authors declare no competing interests.<br /> (© 2022 The Author(s).)
Details
- Language :
- English
- ISSN :
- 2667-2375
- Volume :
- 2
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Cell reports methods
- Publication Type :
- Academic Journal
- Accession number :
- 35497496
- Full Text :
- https://doi.org/10.1016/j.crmeth.2022.100198