Author

H. M. Gegner

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:metabolomics· 3 Organism:human· 2 Approach:benchmark study· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

G. Poschet· 3 shared C. Andresen· 2 shared N. Mechtel· 2 shared R. Hell· 2 shared A. A. Teleman· 1 shared A. Dugourd· 1 shared A. Narr· 1 shared A. Trumpp· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBiochemistry

G. Poschet

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3 papers

Recent·Most cited

Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysis

H. M. Gegner, T. Naake, A. Dugourd, T. Mueller, F. Czernilofsky, G. Kliewer, E. Jaeger, B. Helm, N. Kunze-Rohrbach, U. Klingmueller, C. Hopf, C. Mueller-Tidow, S. Dietrich, J. Saez-Rodriguez, W. Huber, , J. Krijgsveld

This study evaluates pre-analytical factors affecting plasma and serum proteome and metabolome stability, recommending standardized protocols for clinical use.

bioRxiv · Apr 26, 2022Biochemistry

Deep metabolic profiling assessment of tissue extraction protocols for three model organisms

H. M. Gegner, N. Mechtel, E. Heidenreich, A. Wirth, F. G. Cortizo, K. Bennewitz, T. Fleming, C. Andresen, M. Freichel, A. A. Teleman, J. Kroll, R. Hell, G. Poschet

The paper evaluates extraction protocols for metabolomic profiling in three model organisms, finding a protocol that balances reproducibility and metabolite detection across tissues.

bioRxiv · Dec 16, 2021Biochemistry

Comparison of extraction methods for intracellular metabolomics

C. Andresen, T. Boch, H. M. Gegner, N. Mechtel, A. Narr, E. Birgin, E. Rasbach, N. N. Rahbari, A. Trumpp, G. Poschet, D. Huebschmann

The paper compares ten metabolomics extraction protocols across four human sample types to identify the most effective method for quantifying 630 metabolites.

bioRxiv · Dec 15, 2021 · PreprintBiochemistry