Author

Georg Hubmann

University of GroningenORCID 0000-0001-9261-7478Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Organism:yeast· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Joana Saldida· 2 shared Matthias HeinemanniD· 2 shared Alexander SchmidtiD· 1 shared Alfredo BraunsteiniD· 1 shared Andreas Milias‐ArgeitisiD· 1 shared Anna Mareike Schmidt· 1 shared Anna Paola MuntoniiD· 1 shared Athanasios LitsiosiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersSystems Biology

Joana Saldida

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2 papers

Recent·Most cited

Unbiased metabolic flux inference through combined thermodynamic and 13C flux analysis

Joana Saldida, Anna Paola Muntoni, Daniele De Martino, Georg Hubmann, Bastian Niebel, Anna Mareike Schmidt, Alfredo Braunstein, Andreas Milias‐Argeitis, Matthias Heinemann

This paper introduces an unbiased method for metabolic flux inference by integrating thermodynamic constraints and 13C labeling data, revealing novel flux patterns in budding yeast.

bioRxiv · Jun 29, 2020 · PreprintSystems Biology

Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor

Francisca Monteiro, Georg Hubmann, Vakil Takhaveev, Silke R. Vedelaar, Justin Norder, Johan Hekelaar, Joana Saldida, Athanasios Litsios, Hein J. Wijma, Alexander Schmidt, Matthias Heinemann

The paper develops a synthetic biosensor to measure glycolytic flux in single yeast cells using fluorescence microscopy to identify metabolic subpopulations.

Molecular Systems Biology · Dec 1, 2019Peer-reviewedSynthetic Biology