The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar.
View Article and Find Full Text PDFTransgenerational effects, non-evolutionary processes by which environmental conditions in one generation influence the performance in subsequent generations, are hypothesised to have substantial consequences for population dynamics under stochastic environments. However, any direct apparent detriment or advantage these processes generate for a focal species may be counteracted by concurrent effects upon interacting species. Using an experimental Drosophila-parasitoid model system, we determined how the previous generation's thermal environment impacts the thermal performance of both hosts and parasitoids.
View Article and Find Full Text PDFBackground: Artificial sweeteners have become ubiquitous additives in the food supply, and yet the safety of their regular consumption remains controversial. The present study examined whether intakes of aspartame or saccharin are related to aberrations in the plasma metabolome indicating disruptions in metabolism.
Methods: A cohort of 2160 male and female participants, mean age 32.
Organisms are resource limited and allocation toward physiological processes may shift with context; for example, reproductive investment and stress. The immune system comprises a myriad of components such as leukocytes and immune proteins. The costs of innate immune components are likely not uniform because of differences in roles and composition, and it may be beneficial to prioritize specific components through within-immune system tradeoffs.
View Article and Find Full Text PDFInborn errors of immunity (IEIs) are caused by deleterious variants in immune-related genes. ASXL1 is an epigenetic modifier not previously linked to an IEI. Clonal hematopoiesis and hematologic neoplasms often feature somatic ASXL1 variants, and Bohring-Opitz syndrome, a neurodevelopmental disorder, is caused by heterozygous truncating ASXL1 variants.
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