Ceria nanoparticles boost activity of aged murine oocytes

Oocyte meiotic maturation and viability of follicular granulosa cells in young and old experimental Balb/C and CBA mice in the presence of ceria nanoparticles were studied. Treatment of old Balb/c mice with ceria nanoparticles for three days once a day (at a dose of 45 mg/kg) leads to a positive effect on reproductive system. The number of oocytes in follicles increases and this effect is accompanied by an increase in the number of oocytes at metaphase Ⅰ and metaphase Ⅱ. The number of living granulosa cells increases, while percentage of the necrotic and apoptotic ones decreases relative to control group. Data obtained on CBA mice provided additional evidence for positive effect of ceria nanoparticles. Depending on the initial state of the reproductive system and dose of ceria nanoparticles the effectiveness of the treatment will vary. In case of old mice ceria nanoparticles protect ovarian cells against oxidative damage, working as anti-aging agent. The litter size in old mice treated with the CNs increases too

Model organism data evolving in support of translational medicine

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