Marianna Rosso

Research Scientist

Marianna Rosso completed her studies in Ecology and Evolution at the University of Bern in 2018. She then joined Prof Hanno Würbel’s laboratory at the Animal Welfare Division in Bern to address the validity of rodent behavioural tests commonly used in neuroscience and the drug development process. Here, she deepened her expertise in systematic reviews, employing systematic review methodologies and leveraging big data modelling as tools for the refinement and replacement of animal studies. In 2022, she joined the newly established group led by Dr. Benjamin Ineichen at the Center for Reproducible Science at the University of Zurich. There, she focuses on facilitating and implementing evidence synthesis for researchers in animal studies as a 3Rs instrument. Additionally, she is dedicated to disseminating her work and training young researchers in alternative methods for animal experimentation.

Education

Ph.D. Animal Welfare | University of Bern
M.Sc. Ecology and Evolution | University of Bern
B.Sc. Biology | University of Turin

Publications

Effects of weaning age and housing conditions on phenotypic differences in mice

Bailoo J, Voelkl B, Varholick J, Novak J, Murphy E, Rosso M, Palme R, Würbel H

Scientific reports 10.1 (2020): 11684 (2020)

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Do multiple experimenters improve the reproducibility of animal studies?

Kortzfleisch V, Ambrée O, Karp N, Meyer N, Novak J, Palme R, Rosso M, Touma C, Würbel H, Kaiser S, Sachser N, Richter S

PLoS biology, 20(5), e3001564 (2022) (2022)

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The rearing environment persistently modulates mouse phenotypes from the molecular to the behavioural level

Jaric I, Voelkl B, Clerc M, Schmid M, Novak J, Rosso M, Rufener R, Kortzfleisch V, Richter S, Buettner M, Bleich A, Amrein I, Wolfer D, Touma C, Sunagawa S, Würbel H

PLoS biology 20.10 (2022): e3001837 (2022)

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Handling method affects measures of anxiety, but not chronic stress in mice.

Novak J, Jaric I, Rosso M, Rufener R, Touma C, Würbel H

Sci Rep 12, 20938 (2022) (2022)

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Evidence for HARKing in mouse behavioural tests of anxiety

Rosso M, Herrera A, Würbel H, Voelkl B

bioRxiv (2022) (2022)

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Auto-STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications

Zürrer WE, Cannon AE, Ewing E, Brüschweiler D, Bugajska J, Hild BF, Rosso M, Reich DS, Ineichen BV

biorxiv (2023)

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Reliability of common mouse behavioural tests of anxiety: A systematic review and meta-analysis on the effects of anxiolytics

Rosso M, Wirz R, Loretan A, Sutter N, Cunha C, Jaric I, Würbel H, Voelkl B

Neuroscience & Biobehavioral Reviews 143 (2022): 104928. (2022)

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From data deluge to publomics: How AI can transform animal research.

Ineichen BV, Rosso M, Macleod MR

Lab Animal (NY), 52(10):213-214. 2023. (2023)

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Summer school for systematic reviews of animal studies: Fostering evidence-based and rigorous animal research.

Rosso M, Doneva SE, Howells DW, Leenaars CH, Ineichen BV

ALTEX, 41(1):131-134. 2024. (2024)

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Which experimental factors govern successful animal-to-human translation in multiple sclerosis drug development? A systematic review and meta-analysis.

Berg I, Härvelid P, Zürrer WE, Rosso M, Reich DS, Ineichen BV

eBioMedicine 110: 105434 (2024)

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STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publications.

Zurrer WE, Cannon AE, Ewing E, Brüschweiler D, Bugajska J, Hild BF, Rosso M, Reich DS, Ineichen BV

PLoS One 19(11): e0311358 (2024)

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Quality, topics, and demographic trends of animal systematic reviews - an umbrella review.

Hild BF, Brüschweiler D, Hild STK, Bugajska J, von Wyl V, Rosso M, Wever KE, Furrer E, Ineichen BV

J Transl Med 23(1): 21 (2025)

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