|  Help  |  About  |  Contact Us

Publication : Heterogenising study samples across testing time improves reproducibility of behavioural data.

First Author  Bodden C Year  2019
Journal  Sci Rep Volume  9
Issue  1 Pages  8247
PubMed ID  31160667 Mgi Jnum  J:276058
Mgi Id  MGI:6313807 Doi  10.1038/s41598-019-44705-2
Citation  Bodden C, et al. (2019) Heterogenising study samples across testing time improves reproducibility of behavioural data. Sci Rep 9(1):8247
abstractText  The ongoing debate on the reproducibility crisis in the life sciences highlights the need for a rethinking of current methodologies. Since the trend towards ever more standardised experiments is at risk of causing highly idiosyncratic results, an alternative approach has been suggested to improve the robustness of findings, particularly from animal experiments. This concept, referred to as "systematic heterogenisation", postulates increased external validity and hence, improved reproducibility by introducing variation systematically into a single experiment. However, the implementation of this concept in practice requires the identification of suitable heterogenisation factors. Here we show that the time of day at which experiments are conducted has a significant impact on the reproducibility of behavioural differences between two mouse strains, C57BL/6J and DBA/2N. Specifically, we found remarkably varying strain effects on anxiety, exploration, and learning, depending on the testing time, i.e. morning, noon or afternoon. In a follow-up simulation approach, we demonstrate that the systematic inclusion of two different testing times significantly improved reproducibility between replicate experiments. Our results emphasise the potential of time as an effective and easy-to-handle heterogenisation factor for single-laboratory studies. Its systematic variation likely improves reproducibility of research findings and hence contributes to a fundamental issue of experimental design and conduct in laboratory animal science.
Quick Links:
 
Quick Links:
 

Expression

Publication --> Expression annotations

 

Other

2 Bio Entities

0 Expression