Author

M. Peeters

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· 2 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:mouse· 1 Organism:multiple species· 1

Frequent Co-Authors

J. Cappelle· 2 shared A. Ayouba· 1 shared A. Caron· 1 shared A. Domen· 1 shared A. K. Keita· 1 shared A. K. Soumah· 1 shared A. Lin· 1 shared A. Samoura· 1 shared

Activity by Year

2023-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersMicrobiology

J. Cappelle

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Effects of biological and environmental factors on orthoebolavirus serology in bats in Guinea

M. Champagne, J. Cappelle, A. Caron, T. Pouliquen, A. Samoura, M. I. Doumbouya, G. Thaurignac, A. K. Soumah, A. Ayouba, A. K. Keita, M. Peeters, M. Bourgarel, H. M. De Nys

The paper investigates factors influencing orthoebolavirus seroprevalence in bats in Guinea, finding associations with species, sex, age, and season.

bioRxiv · Aug 23, 2023 · PreprintMicrobiology

A Bayesian analysis of birth pulse effects on the probability of detecting Ebola virus in fruit bats

D. R. J. Pleydell, I. Ndong Bass, F. A. Mba Djondzo, D. Meta Djomsi, C. Kouanfack, M. Peeters, J. Cappelle

This study uses a Bayesian age-structured model to analyze how birth pulses in fruit bats affect Ebola virus detection probability and outbreak dynamics.

bioRxiv · Aug 10, 2023Ecology

Double Imprinted Nanoparticles for Sequential Membrane-to-Nuclear Drug Delivery

P. Singla, T. Broughton, M. V. Sullivan, S. Garg, R. B. Palmini, P. Gupta, F. Canfarotta, N. W. Turner, E. Velliou, S. Amarnath, M. Peeters

This study develops double imprinted nanoparticles for targeted drug delivery to breast cancer cells, showing enhanced toxicity in ER-positive cells and reduced side effects.

bioRxiv · Jul 19, 2023Cancer Biology

Uncovering the hidden threat: single-organoid analysis reveals clinically relevant treatment-resistant and invasive subclones in pancreatic cancer

M. Le Compte, E. Cardenas De La Hoz, S. Peeters, F. Rodrigues Fortes, C. Hermans, A. Domen, E. Smits, F. Lardon, T. Vandamme, A. Lin, S. Vanlanduit, G. Roeyen, S. Van Laere, H. Prenen, M. Peeters, C. Deben

This study uses single-organoid analysis to identify treatment-resistant and invasive subclones in pancreatic cancer, correlating with patient outcomes and drug response.

bioRxiv · Feb 27, 2023 · PreprintCancer Biology