Author

Fatma Amari

Charité – Universitätsmedizin Berlin

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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Systems Biology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Organism:yeast· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Markus RalseriD· 3 shared Michael MüllederiD· 3 shared Joseph SchachereriD· 2 shared Julia MuenzneriD· 2 shared Kathrin Textoris‐TaubeiD· 2 shared Pauline TrébulleiD· 2 shared Agathe NiewiendaiD· 1 shared Andrea D. LehmanniD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersSystems Biology

Markus RalserORCID

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Author profile →

3 papers

Recent·Most cited

A draft atlas of the human plasma proteome at isoform resolution

Boris M. Zühlke, Torsten Schwecke, Tal Shapira, Agathe Niewienda, Anyi Yang, Fatma Amari, Kathrin Textoris‐Taube, Ludwig Roman Sinn, Karola Lehmann, Christoph Gille, Martin Vingron, Michael Mülleder, Markus Ralser

The paper creates a proteoform-resolved atlas of the human plasma proteome, revealing extensive proteoform diversity and highlighting discrepancies between proteomic platforms.

bioRxiv · Sep 28, 2026 · PreprintBiochemistry

The natural diversity of the yeast proteome reveals chromosome-wide dosage compensation in aneuploids

Julia Muenzner, Pauline Trébulle, Federica Agostini, Henrik Zauber, Christoph B. Messner, Martin Steger, Christiane Kilian, Kate Lau, Natalie Barthel, Andrea D. Lehmann, Kathrin Textoris‐Taube, Élodie Caudal, Anna-Sophia Egger, Fatma Amari, Matteo De Chiara, , Markus Ralser

The paper quantifies proteomic effects of aneuploidy in natural yeast isolates, finding chromosome-wide dosage compensation in the proteome but not transcriptome.

Nature · May 22, 2024Peer-reviewedSystems Biology

Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast

Élie Teyssonnière, Pauline Trébulle, Julia Muenzner, Victor Loegler, Daniela Ludwig, Fatma Amari, Michael Mülleder, Anne Friedrich, Jing Hou, Markus Ralser, Joseph Schacherer

The paper quantifies transcriptomes and proteomes across 942 yeast isolates, showing weak correlation between mRNA and protein levels and distinct genetic control mechanisms.

Proceedings of the National Academy of Sciences · May 2, 2024Peer-reviewedSystems Biology