Subject collection: editorials
- Drug screening using model systems: some basics
Summary: The author provides some tips on what to consider before you begin drug screening.
- Show and tell: disclosure and data sharing in experimental pathology
Summary: Reproducibility of findings in experiments using model organisms has recently become a source of concern, particularly for translational science. We discuss factors affecting the interpretation and reliability of experimental pathology findings in the mouse, and how disclosure and transparent reporting are crucial for replicability.
- Modeling human diseases: an education in interactions and interdisciplinary approaches
Summary: Animal models have greatly facilitated the process of drug discovery. Len Zon draws on his own experiences to highlight how a cross-model, interdisciplinary approach can bring basic findings to the clinic.
- The challenges of big data
Summary: Next-generation-sequencing-based data sets provide a source of ‘big data’ for analytic approaches that could have a powerful impact on biomedical research. In this Editorial, Elaine Mardis highlights the challenges involved in realizing the full potential of big data analytics.
- Using the mouse to model human disease: increasing validity and reproducibility
Summary: Raising standards for carrying out and reporting mouse model studies will improve reproducibility and relevance to human disease research.
- The case of philanthropy: bringing scientists and philanthropic donors together, for good
Summary: Philanthropists and scientists share many common interests, and yet they are not familiar with each other's ways of thinking. This Editorial highlights how to improve their mutual understanding to advance research and life sciences.
- Embracing risk
Summary: We are entering an era of unprecedented promise for solving some of humankind's most pressing health issues. In this Editorial, Ross Cagan emphasizes the importance of taking risks in science and in career choices.