Author

F. Englert

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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Cancer Biology· 1 Microbiology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Organism:bacteria (other)· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Cuenod· 1 shared A. Egli· 1 shared A. M. Winkelkotte· 1 shared A. R. Hall· 1 shared A. Tannapfel· 1 shared A. Walch· 1 shared C. L. Beisel· 1 shared C. Muench· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperMicrobiology

A. Cuenod

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Type IV-A3 CRISPR-Cas systems drive inter-plasmid conflicts by acquiring spacers in trans

F. Benz, S. Camara-Wilpert, J. Russel, K. G. Wandera, R. Cepaite, M. Ares-Arroyo, J. V. Gomes-Filho, F. Englert, J. Kuehn, S. Gloor, A. Cuenod, M. Aguila-Sans, L. Maccario, A. Egli, L. Randau, , R. Pinilla-Redondo

This study shows type IV-A3 CRISPR-Cas systems use host adaptation machinery to update their CRISPR arrays and interfere with plasmid and phage transfer, supporting their role in plasmid competition.

bioRxiv · Jun 23, 2023 · PreprintMicrobiology

Chemical screening of food-related chemicals for human fatty liver risk: Combining high content imaging of cellular responses with in vitro to in vivo extrapolation

F. A. Mueller, M. Stamou, F. Englert, O. Frenzel, S. Diedrich, J. F. Wambaugh, S. J. Sturla

This study combines high-content imaging and computational models to assess food-related chemicals' risk for fatty liver disease by extrapolating human oral equivalent doses from in vitro data.

bioRxiv · Jun 2, 2022Pharmacology & Toxicology

Functional metabolic phenotyping of human pancreatic ductal adenocarcinoma

I. Heid, S. Karakaya, C. Muench, S. S. Lueong, A. M. Winkelkotte, S. T. Liffers, L. Godfrey, P. F. Cheung, K. Savvatakis, G. J. Topping, F. Englert, L. Kritzner, M. Grashei, T. Kunzke, N. Sun, , J. T. Siveke

This study identifies functional metabolic differences between PDAC subtypes and shows that non-invasive HP-MRS can detect glycolytic tumor metabolism.

bioRxiv · Jul 23, 2021 · PreprintCancer Biology