Open Close
Reference
Citation
Howe, D.G., Blake, J.A., Bradford, Y.M., Bult, C.J., Calvi, B.R., Engel, S.R., Kadin, J.A., Kaufman, T.C., Kishore, R., Laulederkind, S.J.F., Lewis, S.E., Moxon, S.A.T., Richardson, J.E., Smith, C. (2018). Model organism data evolving in support of translational medicine.  Lab Anim. (NY) 47(10): 277--289.
FlyBase ID
FBrf0241113
Publication Type
Review
Abstract
Model organism databases (MODs) have been collecting and integrating biomedical research data for 30 years and were designed to meet specific needs of each model organism research community. The contributions of model organism research to understanding biological systems would be hard to overstate. Modern molecular biology methods and cost reductions in nucleotide sequencing have opened avenues for direct application of model organism research to elucidating mechanisms of human diseases. Thus, the mandate for model organism research and databases has now grown to include facilitating use of these data in translational applications. Challenges in meeting this opportunity include the distribution of research data across many databases and websites, a lack of data format standards for some data types, and sustainability of scale and cost for genomic database resources like MODs. The issues of widely distributed data and application of data standards are some of the challenges addressed by FAIR (Findable, Accessible, Interoperable, and Re-usable) data principles. The Alliance of Genome Resources is now moving to address these challenges by bringing together expertly curated research data from fly, mouse, rat, worm, yeast, zebrafish, and the Gene Ontology consortium. Centralized multi-species data access, integration, and format standardization will lower the data utilization barrier in comparative genomics and translational applications and will provide a framework in which sustainable scale and cost can be addressed. This article presents a brief historical perspective on how the Alliance model organisms are complementary and how they have already contributed to understanding the etiology of human diseases. In addition, we discuss four challenges for using data from MODs in translational applications and how the Alliance is working to address them, in part by applying FAIR data principles. Ultimately, combined data from these animal models are more powerful than the sum of the parts.
PubMed ID
PubMed Central ID
PMC6322546 (PMC) (EuropePMC)
Associated Information
Comments
Associated Files
Other Information
Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Lab Anim. (NY)
    Title
    Lab animal
    ISBN/ISSN
    0093-7355 1548-4475
    Data From Reference