13C Metabolic Flux Analysis Indicates Endothelial Cells Attenuate Metabolic Perturbations by Modulating TCA Activity
نویسندگان
چکیده
منابع مشابه
Algorithms for 13C metabolic flux analysis
The metabolism of an organism consists of a network of biochemical reactions that transform small molecules, or metabolites, into others in order to produce energy and building blocks for essential macromolecules. The goal of metabolic flux analysis is to uncover the rates, or the fluxes, of those biochemical reactions. In a steady state, the sum of the fluxes that produce an internal metabolit...
متن کاملVisual workflows for 13C-metabolic flux analysis
MOTIVATION The precise quantification of intracellular metabolic flow rates is of fundamental importance in bio(techno)logy and medical research. The gold standard in the field is metabolic flux analysis (MFA) with 13C-labeling experiments. 13C-MFA workflows orchestrate several, mainly human-in-the-loop, software applications, integrating them with plenty of heterogeneous information. In practi...
متن کاملOpenFLUX: efficient modelling software for 13C-based metabolic flux analysis
BACKGROUND The quantitative analysis of metabolic fluxes, i.e., in vivo activities of intracellular enzymes and pathways, provides key information on biological systems in systems biology and metabolic engineering. It is based on a comprehensive approach combining (i) tracer cultivation on 13C substrates, (ii) 13C labelling analysis by mass spectrometry and (iii) mathematical modelling for expe...
متن کامل13CFLUX2—high-performance software suite for 13C-metabolic flux analysis
SUMMARY (13)C-based metabolic flux analysis ((13)C-MFA) is the state-of-the-art method to quantitatively determine in vivo metabolic reaction rates in microorganisms. 13CFLUX2 contains all tools for composing flexible computational (13)C-MFA workflows to design and evaluate carbon labeling experiments. A specially developed XML language, FluxML, highly efficient data structures and simulation a...
متن کاملMetabolic networks in motion: 13C-based flux analysis
Many properties of complex networks cannot be understood from monitoring the components--not even when comprehensively monitoring all protein or metabolite concentrations--unless such information is connected and integrated through mathematical models. The reason is that static component concentrations, albeit extremely informative, do not contain functional information per se. The functional b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Metabolites
سال: 2021
ISSN: 2218-1989
DOI: 10.3390/metabo11040226