Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
No, we are not talking about a new dish for dinner, but a study representing an emerging research field. Psilocybin research is gaining momentum, and zebrafish behavioral neuroscience research has been exponentially expanding. At the intersection of these two research fields is a recent paper that utilized high-tech video-tracking to detect behavioral changes induced by this psychoactive drug in larval zebrafish.
In a 2023 Protocol Review, US respondents addressed a scenario1 wherein genetically modified animals (GMAs) were donated to an investigator and used for an unrelated study. In the US, the production and subsequent management of GMAs are governed by specific regulations (PHS Policy, NIH Guidelines), and GMAs that are not used for the intended research would not qualify for other research activities. To better understand how GMAs are governed in institutions located outside of the US, we asked two experts – Sara Wells (UK) and Francina Langa Vives (France) – about their experience.
Biomedical research is experiencing a data explosion, but this does not guarantee building upon knowledge gained from previous experiments. Without appropriate metadata, data can be wasted, especially in animal research. A minimal metadata set is proposed to enable data repurposing, aligning with ARRIVE 2.0 guidelines and making in vivo data FAIR-compliant.
A strategic and statistically based experimental design is a key component of Reduction, and the backbone of reproducible research. Design basics consist of formal structuring of input variables and clearly defined experimental units. Formal designs can evaluate two or more input factors simultaneously, identify and prioritise the most important inputs, and identify interactions where most discovery occurs.