Selected Grantee Publications
The Effect of Common Paralytic Agents Used for Fluorescence Imaging on Redox Tone and ATP Levels in Caenorhabditis elegans
Morton et al., PLOS One. 2024.
https://pubmed.ncbi.nlm.nih.gov/38669260
Caenorhabditis elegans is a highly valuable model organism in biological research. However, these worms must be paralyzed for most imaging applications, and the effect that common chemical anesthetics may have on the parameters measured—especially biochemical measurements such as cellular energetics and redox tone—is poorly understood. In this study, the authors used two reporters—QUEEN-2m for relative ATP levels and reduction-oxidation–sensitive green fluorescent protein for redox tone—to assess the impact of commonly used chemical paralytics. The results show that all chemical anesthetics at doses required for full paralysis alter redox tone and/or ATP levels, and anesthetic use alters the detected outcome of rotenone exposure on relative ATP levels and redox tone. Therefore, it is important to tailor the use of anesthetics to different endpoints and experimental questions and to develop less disruptive paralytic methods for optimal imaging of dynamic in vivo reporters. Supported by ORIP (P40OD010440, R44OD024963) and NIEHS.
The Monarch Initiative in 2024: An Analytic Platform Integrating Phenotypes, Genes and Diseases Across Species
Putman et al., Nucleic Acids Research. 2024.
https://pubmed.ncbi.nlm.nih.gov/38000386/
The Monarch Initiative aims to bridge the gap between the genetic variations, environmental determinants, and phenotypic outcomes critical for translational research. The Monarch app provides researchers access to curated data sets with information on genes, phenotypes, and diseases across species and advanced analysis tools for such diverse applications as variant prioritization, deep phenotyping, and patient profile matching. Researchers describe upgrades to the app, including scalable cloud-based infrastructure, simplified data ingestion and knowledge graph integration systems, enhanced data mapping and integration standards, and a new user interface with novel search and graph navigation features. A customized plugin for OpenAI’s ChatGPT allows the use of large language models to interrogate knowledge in the Monarch graph and increase the reliability of the responses of Monarch’s analytic tools. These upgrades will enhance clinical diagnosis and the understanding of disease mechanisms. Supported by ORIP (R24OD011883), NLM, and NHGRI.