Author

P. Hersen

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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Cell Biology· 2 Microbiology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Organism:yeast· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:cell type annotation· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

A. Banderas· 2 shared C. Cordier· 2 shared L. Chiron· 2 shared M. Le Bec· 2 shared S. Pouzet· 2 shared A. Amir· 1 shared A. Bernheim· 1 shared A. Lindner· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCell Biology

A. Banderas

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Optogenetic control of pheromone gradients and mating behavior in budding yeast

A. Banderas, M. Hofmann, C. Cordier, M. Le Bec, C. Elizondo, L. Chiron, S. Pouzet, y. lifschytz, W. Ji, A. Amir, V. Scolari, P. Hersen

The paper uses optogenetic tools to control pheromone gradients in budding yeast, enabling spatial regulation of mating behavior and cell fusion.

bioRxiv · Feb 6, 2024Cell Biology

Predicting phage-bacteria interactions at the strain level from genomes

B. Gaborieau, H. Vaysset, F. Tesson, I. Charachon, N. Dib, J. Bernier, T. Dequidt, H. Georjon, O. Clermont, P. Hersen, L. Debarbieux, J.-D. Ricard, E. Denamur, A. Bernheim

This paper predicts phage-bacteria interactions at the strain level using genomic data from Escherichia isolates and shows tailored phage cocktails are more effective.

bioRxiv · Nov 22, 2023 · PreprintMicrobiology

CyberSco.Py: open-source software for event-based, conditional microscopy

L. Chiron, M. Le Bec, C. Cordier, S. Pouzet, D. Milunov, A. Banderas, J.-M. Di Meglio, B. Sorre, P. Hersen

CyberSco.Py provides a framework for automated, event-based timelapse microscopy experiments with real-time image analysis and conditional parameter adjustments.

bioRxiv · Mar 16, 2022Cell Biology

A microfluidic device for inferring metabolic landscapes in yeast monolayer colonies

Z. S. Marinkovic, C. Vulin, M. Acman, X. Song, J. M. Di Meglio, A. Lindner, P. Hersen

The paper describes a microfluidic device to study metabolic landscapes in yeast colonies, showing glucose gradients and their impact on growth and gene expression.

bioRxiv · Apr 25, 2019Biophysics

Isolation of persisters enabled by ss-lactam-induced filamentation reveals their single-cell awakening characteristics

E. M. Windels, Z. Ben Meriem, T. Zahir, K. J. Verstrepen, P. Hersen, B. Van den Bergh, J. Michiels

This study isolates persisters using cephalexin-induced filamentation and shows that persister awakening is stochastic at the single-cell level.

bioRxiv · Apr 6, 2019 · PreprintMicrobiology