At functional level metabolite transformations are catalysed by enzymes (proteins) which are expressed from the genome via transcription. Multiomics enables the functional hierarchy in cells to be investigated directly. By combining data from the different omics fields, researchers can gain a more complete picture of the complex biological processes that occur within cells and organisms. For example, multiomics approaches can be used to identify the genes involved in specific pathways, determine how those genes are regulated, and understand the downstream effects of changes in gene expression on protein levels and metabolite concentrations. Conversely, by altering nutrient availability or treating cells with specific inhibitors the effect of metabolites on gene expression can be explored.
Multiomics is an important tool in systems biology, which aims to understand biological systems as a whole, rather than studying individual components in isolation. The integration of multiple types of data allows researchers to gain a more nuanced and comprehensive understanding of biological processes, which can ultimately lead to new insights and discoveries in the field of biology.
