D-Glycerol-[3-13C]

D-Glycerol-[3-13C], an isotopically labeled compound, plays a pivotal role in metabolic and biochemical research. Explore the diverse applications of D-Glycerol-[3-13C]:

Metabolic Flux Analysis: Delving into metabolic pathways, D-Glycerol-[3-13C] aids researchers in tracing the intricate routes of glycerol metabolism. By introducing this labeled compound, scientists can quantitatively assess glycerol flow and utilization within cellular systems. This methodology sheds light on crucial metabolic intermediates, unraveling the multifaceted involvement of glycerol in various metabolic networks.

NMR Spectroscopy: Embarking on enzymatic explorations, D-Glycerol-[3-13C] finds its niche in nuclear magnetic resonance (NMR) spectroscopy, where it serves as a beacon for studying enzyme mechanisms and metabolic pathways. The 13C label emits a unique signal enabling researchers to monitor the dynamic movement and transformation of glycerol in real-time. This application proves invaluable in deciphering convoluted biochemical reactions and intricate metabolic interactions.

Isotopic Labeling in Proteomics: In the realm of proteomics, D-Glycerol-[3-13C] emerges as a pivotal tool for tracking protein dynamics during synthesis, offering insights into protein turnover and dynamics. By monitoring isotopic assimilation into proteins, scientists can unveil the rates of protein synthesis and degradation, gaining a deeper understanding of cellular responses to environmental cues and revealing intricate regulatory mechanisms.

Stable Isotope-Resolved Metabolomics (SIRM): Pioneering advances in metabolomics, D-Glycerol-[3-13C] serves as a cornerstone in stable isotope-resolved metabolomics, facilitating a detailed analysis of cellular metabolic processes. By integrating SIRM data, researchers can construct comprehensive metabolic models, illuminating the intricate utilization of glycerol within cells. This innovative approach proves instrumental in dissecting metabolic disorders, devising targeted therapeutic interventions, and optimizing strategies for metabolic engineering.