Biology subjects

Cannon, B.

Publications and source records attributed to Cannon, B..

2 recordsLinked to original sources

bioRxiv2026

Differential Nucleotide Inhibition Profile of Mouse and Human UCP1 Expressed in Liver Mitochondria Is Associated with an F88S Mutation

Uncoupling protein 1 (UCP1) mediates thermogenesis in brown adipose tissue. Whether human-UCP1 shares the bioenergetic properties established for rodent UCP1 (innate uncoupling, GDP sensitivity, fatty acid (re)activation) is not known. Therefore, we expressed human and mouse UCP1 in mouse liver, using adeno-associated viral vectors, and characterized their properties in isolated liver mitochondria. Both UCP1s induced marked innate uncoupling, characterized by increased substrate-supported respiration and decreased membrane potential, in the absence of exogenous fatty acids. Mouse-UCP1 in liver retained the classical regulatory properties of native brown-fat UCP1, including potent inhibition by GDP and reactivation by oleate. In contrast, human-UCP1 was only weakly inhibited by GDP but was strongly responsive to fatty acids. However, ATP potently inhibited human-UCP1, with an apparent IC of {approx}0.4 mM compared with {approx}1.4 mM for GDP, and ATP markedly decreased the sensitivity of human-UCP1 to oleate (re)activation. Despite substantial UCP1-mediated uncoupling, oxidative phosphorylation capacity and mitochondrial OXPHOS protein levels were preserved. Molecular dynamics simulations suggested a structural basis for the species difference. GDP formed persistent interactions with F88 in mouse-UCP1, an interaction absent at the corresponding S88 residue in human-UCP1. In-silico substitution of F88 by serine reduced GDP interaction at this site. Thus, human and mouse UCP1 share innate thermogenic activity but differ fundamentally in nucleotide regulation. The F88/S88 difference may contribute to the preferential GDP sensitivity of mouse-UCP1, whereas ATP provides effective nucleotide control of human-UCP1.

biochemistry↗

bioRxiv2025

PlantCAD2: A Long-Context DNA Language Model for Cross-Species Functional Annotation in Angiosperms

Understanding how DNA sequence encodes biological function remains a fundamental challenge in biology. Flowering plants (angiosperms), the dominant terrestrial clade, exhibit maximal biochemical complexity, extraordinary species diversity (over 100,000 species), relatively recent origins ([~]160 million years), [~]200-fold variation in genome size and relative compact coding regions compared with other eukaryotes. These features present both a unique challenge and opportunity for pre-training DNA language models to understand plant-specific evolutionary conservation, regulatory architectures and genomic functions. Here, we introduce PlantCAD2, an extended context, plant-specific DNA language model with single-nucleotide resolution, pre-trained on 65 angiosperm genomes, together with a series of public benchmarks for evaluation. Comprehensive zero-shot testing shows that PlantCAD2 (676 million parameters) efficiently captures evolutionary conservation, surpassing the 7-billion-parameter Evo2 model in 10 of 12 tasks. With parameter-efficient fine-tuning, PlantCAD2 also outperforms the 1-billion-parameter AgroNT across seven cross-species tasks including chromatin accessible region, gene expression and protein translation. Moreover, its 8,192bp context window substantially improves accessible chromatin prediction in large genomes such as maize (AUPRC increasing from 0.587 to 0.711), underscoring the importance of long-range context for modeling distal regulation. Together, these results establish PlantCAD2 as a powerful, efficient, and versatile foundation model for plant genomics, enabling accurate genome annotation across diverse species.

bioinformatics↗