Author

Almut S. Eisele

École Polytechnique Fédérale de LausanneORCID 0000-0001-8376-4089Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

A. A. Dormann· 1 shared Alan Y. L. WongiD· 1 shared Amy YuiD· 1 shared Arjun GargiD· 1 shared Boryana PetrovaiD· 1 shared David M. SuteriD· 1 shared Efrat Ozeri· 1 shared Jeannette R. BrookiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperDevelopmental Biology

A. A. Dormann

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintOct 7, 2026

One-carbon metabolism sustains effector T cell function through cell-surface glycosylation

Peng Wang, Amy Yu, Mohammed Mutaher…·Naama Kanarek

This study shows folate deprivation impairs CD8+ T cell function by disrupting cell surface glycosylation, and increasing folate uptake enhances T cell anti-tumor activity.

DOI 10.64898/2026.10.06.756889

humanscRNA-seq

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Developmental BiologybioRxivPreprintSep 20, 2022

Barcode-free prediction of cell lineages from scRNA-seq datasets

Almut S. Eisele, Marcel Tarbier, A. A. Dormann…·David M. Suter

GEMLI predicts cell lineages from scRNA-seq data without lineage tracing, identifying heritable gene expression and cell fate decisions in various contexts.

6 citations

mousescRNA-seq

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