Results 31 to 40 of about 35,777 (291)
mSystems, 2020 In Ralstonia solanacearum, a devastating phytopathogen whose metabolism is poorly understood, we observed that the Entner-Doudoroff (ED) pathway and nonoxidative pentose phosphate pathway (non-OxPPP) bypass glycolysis and OxPPP under glucose oxidation ...
Poonam Jyoti +6 more
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Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism. [PDF]
, 2017 Malignant transformation is often accompanied by significant metabolic changes. To identify drivers underlying these changes, we calculated metabolic flux states for the NCI60 cell line collection and correlated the variance between metabolic states of ...
Bordbar, Aarash +5 more
core +1 more source
Bio-Protocol, 2023 The flux in photosynthesis can be studied by performing 13CO2 pulse labelling and analysing the temporal labelling kinetics of metabolic intermediates using gas or liquid chromatography linked to mass spectrometry.
Or Geffen, David Achaintre, Haim Treves
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Publishing 13C metabolic flux analysis studies: a review and future perspectives. [PDF]
Metab Eng, 2013 (13)C-Metabolic flux analysis ((13)C-MFA) is a powerful model-based analysis technique for determining intracellular metabolic fluxes in living cells. It has become a standard tool in many labs for quantifying cell physiology, e.g., in metabolic engineering, systems biology, biotechnology, and biomedical research.
Crown SB, Antoniewicz MR.
europepmc +4 more sources
HIF1A reduces acute lung injury by optimizing carbohydrate metabolism in the alveolar epithelium [PDF]
, 2013 Background: While acute lung injury (ALI) contributes significantly to critical illness, it resolves spontaneously in many instances. The majority of patients experiencing ALI require mechanical ventilation.
Bonney, Megan +9 more
core +3 more sources
BMC Biology, 2019 The study of tumorigenic rewiring of metabolic flux is at the heart of cancer metabolic research. Here, we review two widely used computational flux inference approaches: isotope tracing coupled with Metabolic Flux Analysis (13C-MFA) and COnstraint-Based
Shoval Lagziel +2 more
doaj +1 more source
Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming. [PDF]
PLoS Computational Biology, 2016 13C metabolic flux analysis (13C-MFA) has been widely used to measure in vivo enzyme reaction rates (i.e., metabolic flux) in microorganisms. Mining the relationship between environmental and genetic factors and metabolic fluxes hidden in existing ...
Stephen Gang Wu +8 more
doaj +1 more source
Visual workflows for 13 C-metabolic flux analysis [PDF]
Bioinformatics, 2014 Abstract 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 13 C-labeling experiments. 13 C-MFA workflows orchestrate several, mainly human-in-the-loop, software applications,
Katharina, Nöh +2 more
openaire +2 more sources
Fructose metabolism in Chromohalobacter salexigens: interplay between the Embden–Meyerhof–Parnas and Entner–Doudoroff pathways [PDF]
, 2019 Background The halophilic bacterium Chromohalobacter salexigens metabolizes glucose exclusively through the Entner–Doudoroff (ED) pathway, an adaptation which results in inefficient growth, with significant carbon overflow, especially at low salinity ...
Argandoña Bertrán, Montserrat +12 more
core +1 more source
NetFlow: A tool for isolating carbon flows in genome-scale metabolic networks
Metabolic Engineering Communications, 2021 1. Abstract: Genome-scale stoichiometric models (GSMs) have been widely utilized to predict and understand cellular metabolism. GSMs and the flux predictions resulting from them have proven indispensable to fields ranging from metabolic engineering to ...
Sean G. Mack, Ganesh Sriram
doaj +1 more source