Naturally occurring variation in a cytochrome P450 modifies thiabendazole responses independently of beta-tubulin.

Widespread anthelmintic resistance has complicated the management of parasitic nematodes. Resistance to the benzimidazole (BZ) drug class is nearly ubiquitous in many species and is associated with mutations in beta-tubulin genes. However, mutations in beta-tubulin alone do not fully explain all BZ resistance.

FLI1 and GATA1 govern transcription: new insights into FLI1-related platelet disorders.

Germline variants of FLI1, essential for megakaryopoiesis, are linked to bleeding disorders, platelet aggregation defects and mild thrombocytopenia. However, the mechanisms behind these abnormalities remain unclear. This study aims to elucidate the impact of FLI1 variants on human megakaryocytes and platelets.

The long and short of hyperdivergent regions.

The increasing prevalence of genome sequencing and assembly has uncovered evidence of hyperdivergent genomic regions - loci with excess genetic diversity - in species across the tree of life. Hyperdivergent regions are often enriched for genes that mediate environmental responses, such as immunity, parasitism, and sensory perception. Especially in self-fertilizing species where the majority of the genome is homozygous, the existence of hyperdivergent regions might imply the historical action of evolutionary forces such as introgression and/or balancing selection.

Single-Molecule Multivalent Interactions Revealed by Plasmon-Enhanced Fluorescence.

Multivalency as an interaction principle is widely utilized in nature. It enables specific and strong binding by multiple weak interactions through enhanced avidity and is a core process in immune recognition and cellular signaling, which is also a current concept in drug design. Here, we use the high signals from plasmon-enhanced fluorescence of nanoparticles to extract binding kinetics and dynamics of multivalent interactions on the single-molecule level and in real time.

Monitoring performance of clinical artificial intelligence in health care: a scoping review.

Objective: The objective of this review was to provide an overview of the diverse methods described, tested, or implemented for monitoring performance of clinical artificial intelligence (AI) systems, while also summarizing the arguments given for or against these methods.

Introduction: The integration of AI in clinical decision-making is steadily growing. Performances of AI systems evolve over time, necessitating ongoing performance monitoring.