Personal profile
Research overview
We are interested in how shape and form arise during animal development. During morphogenesis, cells interpret complex information and react accordingly to shape tissues and organs. Here, many cell behaviours, such as cell migration and cell shape changes, work together. Despite recent progress, it still remains mysterious how all these behaviours are regulated and coordinated.
To study cell behaviours in the living organism, we use the morphogenesis of the adult abdominal epidermis of Drosophila. Employing a combination of in vivo 4D microscopy and sophisticated genetic tools, we observe and quantify all cell behaviours after experimental manipulation of the system. We have two major areas of interest: (1) What are the signals that instruct the cells to execute certain behaviours during morphogenesis? (2) How do cells translate these signals into specific actions, such as migration and constriction? Addressing these questions will enable us to gain a deeper understanding of morphogenetic processes and the underlying cell behaviours as well as of how the mechanical forces that ultimately drive morphogenesis are created. These insights will be of widespread relevance, since the (mis-) regulation of cell behaviour is also fundamental to wound repair and numerous diseases, including cancer.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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An active matter model captures spatial dynamics of actomyosin oscillations in larval epithelial cells during Drosophila morphogenesis
Mackay, E., Bebbington, A., Januschke, J., Kursawe, J., Bischoff, M. & Sknepnek, R., 20 Jan 2026, In: Proceedings of the National Academy of Sciences of the United States of America. 123, 3, p. 1-12 12 p., e2503955123.Research output: Contribution to journal › Article › peer-review
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Estimating full-field displacement in biological images using deep learning
Warsop, S. J. E. T., Caixeiro , S., Bischoff, M., Kursawe, J., Bruce, G. D. & Wijesinghe, P., 4 Jun 2025, In: npj Artificial Intelligence. 1, 12 p., 6.Research output: Contribution to journal › Article › peer-review
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An active matter model captures the spatial dynamics of actomyosin oscillations during morphogenesis
Mackay, E. D., Bebbington, A., Januschke, J., Kursawe, J., Bischoff, M. & Sknepnek, R., 5 Oct 2024, bioRxiv, 33 p.Research output: Working paper › Preprint
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An anti-biofilm cyclic peptide targets a secreted aminopeptidase from P. aeruginosa
Harding, C. J., Bischoff, M., Bergkessel, M. & Melo Czekster, C., 1 Sept 2023, In: Nature Chemical Biology. 19, 9, p. 1158-1166 15 p.Research output: Contribution to journal › Article › peer-review
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Coordination of cytoskeletal dynamics and cell behaviour during Drosophila abdominal morphogenesis
Pulido Companys, P., Norris, A. & Bischoff, M., 30 Mar 2020, In: Journal of Cell Science. 133, 6, 18 p., jcs235325.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Studying lamellipodia formation and apical cell-matrix adhesion during the migration of the Drosophila larval epithelial cells (thesis data)
Mai, J. (Creator) & Bischoff, M. (Supervisor), University of St Andrews, 8 May 2027
DOI: 10.17630/590aa71b-117c-431c-b66d-9a367b53c203, https://doi.org/10.17630/sta/894
Dataset: Thesis dataset
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An anti-biofilm cyclic peptide targets a secreted aminopeptidase from P. aeruginosa (protein dataset)
Harding, C. J. (Creator), Melo Czekster, C. (Creator) & Bischoff, M. (Creator), Protein Data Bank (PDB), 2023
https://www.rcsb.org/structure/unreleased/8ACR and 4 more links, https://www.rcsb.org/structure/unreleased/8ACK, https://www.rcsb.org/structure/unreleased/8AC7, https://www.rcsb.org/structure/unreleased/8AC9, https://www.rcsb.org/structure/unreleased/8ACG (show fewer)
Dataset
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An active matter model captures spatial dynamics of actomyosin oscillations in larval epithelial cells during Drosophila morphogenesis
Sknepnek, R. (Creator), Mackay, E. (Creator), Bebbington, A. (Creator), Januschke, J. (Creator), Kursawe, J. (Creator) & Bischoff, M. (Creator), Zenodo, 2025
Dataset
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Estimating full-field displacement in biological images using deep learning (dataset)
Warsop, S. (Creator), Caixeiro , S. (Creator), Bischoff, M. (Creator), Kursawe, J. (Creator), Bruce, G. D. (Creator) & Wijesinghe, P. (Creator), University of St Andrews, 24 May 2024
DOI: 10.17630/feab7fa3-d77b-46e8-a487-7b47c760996a
Dataset
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Projects
- 3 Finished
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Marcus Bischoff ISSF3 round 6: Marcus Bischoff ISSF3 round 6
Bischoff, M. (PI)
1/05/21 → 31/07/22
Project: Standard
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