Fluxomics describes the various approaches that seek to determine the rates of metabolic reactions within a biological entity.[1] While metabolomics can provide instantaneous information on the metabolites in a biological sample, metabolism is a dynamic process.[2] The significance of fluxomics is that metabolic fluxes determine the cellular phenotype.[3] It has the added advantage of being based on the metabolome which has fewer components than the genome or proteome.[4]
Fluxomics falls within the field of systems biology which developed with the appearance of high throughput technologies.[5] Systems biology recognizes the complexity of biological systems and has the broader goal of explaining and predicting this complex behavior.[2]
^Cascante, Marta; Benito, Adrián; Mas, Igor Marín de; Centelles, Josep J.; Miranda, Anibal; Atauri, Pedro de (2014-01-01). "Fluxomics". In Orešič, Matej; Vidal-Puig, Antonio (eds.). A Systems Biology Approach to Study Metabolic Syndrome. Springer International Publishing. pp. 237–250. doi:10.1007/978-3-319-01008-3_12. ISBN9783319010076.
^Raamsdonk, Léonie M.; Teusink, Bas; Broadhurst, David; Zhang, Nianshu; Hayes, Andrew; Walsh, Michael C.; Berden, Jan A.; Brindle, Kevin M.; Kell, Douglas B. (2001-01-01). "A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations". Nature Biotechnology. 19 (1): 45–50. doi:10.1038/83496. ISSN1087-0156. PMID11135551. S2CID15491882.