Perseus plugin Metis'' for metabolic-pathway-centered quantitative multi-omics data analysis for static and time-series experimental designs

Hamzeiy, Hamid; Ferretti, Daniela; Robles, Maria S. und Cox, Juergen (2022): Perseus plugin Metis'' for metabolic-pathway-centered quantitative multi-omics data analysis for static and time-series experimental designs. In: Cell Reports Methods, Bd. 2, Nr. 4, 100198

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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 2667-2375
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 428041612
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 329628492