Promoting validation and cross-phylogenetic integration in model organism research

Synergistic modelling of human disease

Living model systems, ranging in complexity from bacterial culture to non-human primates, are a cornerstone in disease biology research. Despite their unquestionable usefulness, the disease modelling community remains acutely aware of the challenges and limitations of any individual model. To describe our collective predicament, we often (mis)use the quote by statistician George Box, ‘All models are wrong, but some are useful’.

Pluripotency of a founding field: rebranding developmental biology

The field of developmental biology has declined in prominence in recent decades, with off-shoots from the field becoming more fashionable and highly funded. This has created inequity in discovery and opportunity, partly due to the perception that the field is antiquated or not cutting edge. A 'think tank' of scientists from multiple developmental biology-related disciplines came together to define specific challenges in the field that may have inhibited innovation, and to provide tangible solutions to some of the issues facing developmental biology. The community suggestions include a call to the community to help 'rebrand' the field, alongside proposals for additional funding apparatuses, frameworks for interdisciplinary innovative collaborations, pedagogical access, improved science communication, increased diversity and inclusion, and equity of resources to provide maximal impact to the community.

Integrating non-mammalian model organisms in the diagnosis of rare genetic diseases in humans

Next-generation sequencing technology has rapidly accelerated the discovery of genetic variants of interest in individuals with rare diseases. However, showing that these variants are causative of the disease in question is complex and may require functional studies. Use of non-mammalian model organisms - mainly fruitflies (Drosophila melanogaster), nematode worms (Caenorhabditis elegans) and zebrafish (Danio rerio) - enables the rapid and cost-effective assessment of the effects of gene variants, which can then be validated in mammalian model organisms such as mice and in human cells. By probing mechanisms of gene action and identifying interacting genes and proteins in vivo, recent studies in these non-mammalian model organisms have facilitated the diagnosis of numerous genetic diseases and have enabled the screening and identification of therapeutic options for patients. Studies in non-mammalian model organisms have also shown that the biological processes underlying rare diseases can provide insight into more common mechanisms of disease and the biological functions of genes. Here, we discuss the opportunities afforded by non-mammalian model organisms, focusing on flies, worms and fish, and provide examples of their use in the diagnosis of rare genetic diseases.

Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism

Phenotypic heterogeneity is very common in genetic systems and in human diseases and has important consequences for disease diagnosis and treatment. In addition to the many genetic and non-genetic (e.g., epigenetic, environmental) factors reported to account for part of the heterogeneity, we stress the importance of stochastic fluctuation and regulatory network topology in contributing to phenotypic heterogeneity. We argue that a threshold effect is a unifying principle to explain the phenomenon; that ultrasensitivity is the molecular mechanism for this threshold effect; and discuss the three conditions for phenotypic heterogeneity to occur. We suggest that threshold effects occur not only at the cellular level, but also at the organ level. We stress the importance of context-dependence and its relationship to pleiotropy and edgetic mutations. Based on this model, we provide practical strategies to study human genetic diseases. By understanding the network mechanism for ultrasensitivity and identifying the critical factor, we may manipulate the weak spot to gently nudge the system from an ultrasensitive state to a stable non-disease state. Our analysis provides a new insight into the prevention and treatment of genetic diseases.

Sharing resources to advance translational research

The publication of Resource articles is essential for the dissemination of novel, or substantially enhanced, tools, techniques, disease models, datasets and resources. By sharing knowledge and resources in a globally accessible manner, we can support human disease research to accelerate the translation of fundamental discoveries to effective treatments or diagnostics for diverse patient populations. To promote and encourage excellence in Resource articles, Disease Models & Mechanisms (DMM) is launching a new 'Outstanding Resource Paper Prize'. To celebrate this, we highlight recent outstanding DMM Resource articles that have the ultimate goal of benefitting of human health.

A new network for the synergistic translation of mouse research

Over the past 20 years, the UK has become a leading force in the generation and use of complex mouse models in the precise investigation of human disease. Nevertheless, there remains a great challenge in improving how research in animals is translated to clinical benefits. Developing and expanding connections between basic scientists and clinicians to ensure that animal models accurately recapitulate human disease will be key to this effort. This is the focus of the new UK Medical Research Council (MRC) National Mouse Genetics Network (https://nmgn.mrc.ukri.org/), which we believe will hugely impact our ability to harness recent advances in mouse genetics. The National Mouse Genetics Network is a major £22 million investment initially comprising seven challenge-led research clusters with members distributed across the UK. At its core, the Mary Lyon Centre at MRC Harwell will act as a repository for, and provider of, genetically altered mice, as well as generate and share data, training, specialist facilities and resources. Importantly, each cluster will integrate expertise in fundamental biology with clinical findings to better address pertinent research questions. Results from previous, smaller-scale, network initiatives suggest that this model can synergise research, but we believe that this structure will work better when carried out on a larger scale, with greater scope for collaboration and capacity of the system. This Editorial will outline the principal aims of the Network and identify the main areas in which this model will be able to exploit the power and synergy of its different elements.