Uncovering a hidden mechanism in met receptor activation
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 21:15 ET (3-Apr-2026 01:15 GMT/UTC)
Researchers at the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, in collaboration with Osaka University and the National Institutes for Quantum Science and Technology, have uncovered a previously unknown mechanism behind the activation of the Met receptor—a key player in tissue regeneration and cancer progression. Their findings reveal that HGF binding to the membrane-distal domain of Met promotes dimerization at the membrane-proximal domain, which subsequently triggers receptor activation.
U.S. nuclear energy faces fuel supply chain vulnerabilities, with tight uranium supplies, geopolitical risks, and rising costs threatening both existing reactors costs and advanced reactor development.
The uranium conversion stage represents a major bottleneck, with only five large-scale facilities worldwide, shrinking stockpiles, and companies hesitant to expand capacity without long-term contracts that buyers are reluctant to sign at current high prices.
Next-generation reactors will require significantly more mined uranium per ton of fuel, potentially tightening supplies for the existing nuclear fleet, which is already facing high fuel costs.
About one in nine adults suffer from chronic insomnia and its residual effects like drowsiness, cognitive issues, and irritability as well as increased health risks like diabetes and heart risks if left untreated. While many treatments are available, the challenge lies in determining how well a medication or other sleep aid works in individual patients. Now a new study from the University of Maryland School of Medicine has found using real-time smartphone-based assessments can help to determine the effectiveness of sleep medications by detecting improvements in daytime insomnia symptoms including thinking, fatigue, and mood. Following a two-week course of treatment, this smartphone-based assessment approach detected treatment effects more powerfully than did traditional methods like recall questionnaires.