scispace - formally typeset
M

Maria Kogadeeva

Researcher at ETH Zurich

Publications -  8
Citations -  1607

Maria Kogadeeva is an academic researcher from ETH Zurich. The author has contributed to research in topics: Metabolic network & Quorum sensing. The author has an hindex of 7, co-authored 8 publications receiving 1142 citations.

Papers
More filters
Journal ArticleDOI

L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity.

TL;DR: Elevating L-arginine levels induced global metabolic changes including a shift from glycolysis to oxidative phosphorylation in activated T cells and promoted the generation of central memory-like cells endowed with higher survival capacity and, in a mouse model, anti-tumor activity.
Journal ArticleDOI

Absolute Proteome Composition and Dynamics during Dormancy and Resuscitation of Mycobacterium tuberculosis.

TL;DR: Global absolute protein measurements provide a quantitative description of microbial states, which can support the development of therapeutic interventions and allow protein alterations to be translated into changes in maximal enzymatic reaction velocities, enhancing understanding of metabolic adaptations.
Journal ArticleDOI

Regulation of yeast central metabolism by enzyme phosphorylation.

TL;DR: The role of phosphorylation in controlling the metabolic flux realised by these three enzymes is demonstrated through absolute peptide quantification by targeted mass spectrometry, metabolomics and physiological flux analysis in mutants with genetically removed phosphosites.
Journal ArticleDOI

High coverage metabolomics analysis reveals phage-specific alterations to Pseudomonas aeruginosa physiology during infection

TL;DR: A potentially crucial role for small, ‘non-enzymatic’ peptides in metabolism take-over is suggested and on potential biotechnical applications for such peptides are hypothesized.
Journal ArticleDOI

Integration of Metabolomics and Transcriptomics Reveals a Complex Diet of Mycobacterium tuberculosis during Early Macrophage Infection

TL;DR: An experimentally accessible model for early infection of human macrophages by Mycobacterium tuberculosis, the etiological agent of tuberculosis, is exploited to study host-pathogen interactions with a multi-omics approach to better understand the intracellular lifestyle of pathogens and their metabolic robustness and resistance to metabolic interventions.