Traversing the Landscape of Cellular Metabolism with Metabolic Flux Analysis - Techniques, Applications, and Future Perspectives

Abstract

This paper comprehensively examines the principles underlying MFA, including labeling strategies, flux calculation algorithms, and data integration methods. Moreover, it explores the diverse applications of MFA across various fields, including metabolic engineering, biotechnology, biomedicine, and environmental science. Case studies exemplify the utility of MFA in optimizing metabolic pathways, elucidating disease mechanisms, and engineering microbial systems for bioproduction. Furthermore, the review discusses recent advancements in MFA, such as high-throughput experimental techniques, multi-omics integration, and the emergence of novel computational tools. Challenges and future perspectives in MFA research are also deliberated, emphasizing the need for interdisciplinary collaborations and innovative approaches to address complex biological questions. Ultimately, this review underscores the pivotal role of MFA in advancing our understanding of cellular metabolism and its profound implications in diverse scientific disciplines.