Elkin, L. | bioRxiv Science

bioRxiv2026

Clonazepam activates the transient receptor potential melastatin 8 (TRPM8) ion channel

Benzodiazepines represent a major class of drugs prescribed as treatments for anxiety, insomnia and seizures. They act by engaging GABAA receptors in the central nervous system to depress neuronal excitability. Here, the polypharmacology of benzodiazepines was explored by studying their engagement of human TRP channels revealing clonazepam acts as a robust and selective activator of the TRPM8 ion channel. Clonazepam-evoked Ca2+ signals were observed in cells expressing human TRPM8 channels, and in mouse trigeminal neurons. These responses were completely blocked by pharmacological or genetic inhibition of TRPM8 function. This discovery likely explains why clonazepam is an effective treatment for the painful oral condition known as burning mouth disorder, where local activation of TRPM8 channels in sensory neurons mitigates the painful symptoms of this disease.

neuroscience↗

bioRxiv2024

Machine learning uncovers gene families impacting oxidative stress resistance across yeasts

Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine metabolism and during interactions with other organisms, including host infection. Here, we characterized the variation in resistance to ROS across the ancient yeast subphylum Saccharomycotina and used machine learning (ML) to identify gene families whose sizes were predictive of ROS resistance. The most predictive features were enriched in gene families related to cell wall organization and included two reductase gene families. We estimated the quantitative contributions of features to each species classification to guide experimental validation and showed that overexpression of the old yellow enzyme (OYE) reductase increased ROS resistance in Kluyveromyces lactis, while Saccharomyces cerevisiae mutants lacking multiple mannosyltransferase-encoding genes were hypersensitive to ROS. Altogether, this work provides a framework for how ML can uncover genetic mechanisms underlying trait variation across diverse species and inform trait manipulation for clinical and biotechnological applications.

microbiology↗