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Vitaly A. Selivanov

Researcher at University of Barcelona

Publications -  46
Citations -  1717

Vitaly A. Selivanov is an academic researcher from University of Barcelona. The author has contributed to research in topics: Metabolic flux analysis & Workflow. The author has an hindex of 18, co-authored 45 publications receiving 1475 citations. Previous affiliations of Vitaly A. Selivanov include Russian Academy of Sciences & Moscow State University.

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A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescence

TL;DR: It is shown that the mitochondrial gatekeeper pyruvate dehydrogenase (PDH) is a crucial mediator of senescence induced by BRAFV600E, an oncogene commonly mutated in melanoma and other cancers, and a mechanistic relationship between OIS and a key metabolic signalling axis is revealed, which may be exploited therapeutically.
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Reactive Oxygen Species Production by Forward and Reverse Electron Fluxes in the Mitochondrial Respiratory Chain

TL;DR: The rule-based model of complex III was extended to account for electron transport in the whole RC coupled to proton translocation, transmembrane electrochemical potential generation, TCA cycle reactions, and substrate transport to mitochondria and revealed an association of ROS production with levels of specific radicals of individual electron transporters and their combinations in species of complexes I and III.
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PhenoMeNal: processing and analysis of metabolomics data in the cloud

TL;DR: PhenoMeNal is an advanced and complete solution to set up Infrastructure-as-a-Service (IaaS) that brings workflow-oriented, interoperable metabolomics data analysis platforms into the cloud and constitutes a keystone solution in cloud e-infrastructures available for metabolomics.
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The Role of External and Matrix pH in Mitochondrial Reactive Oxygen Species Generation

TL;DR: It is found that high pH strongly increased the rate of free radical generation in all of the conditions studied, even when ΔpH = 0 in the presence of nigericin.
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Metabolic Reprogramming and Dependencies Associated with Epithelial Cancer Stem Cells Independent of the Epithelial-Mesenchymal Transition Program.

TL;DR: It is found that the e‐CSC program in this cellular model is characterized by a high plasticity in energy substrate metabolism, including an enhanced Warburg effect, a greater carbon and energy source flexibility driven by fatty acids and amino acid metabolism and an essential reliance on the proton buffering capacity conferred by glutamine metabolism.