Neuroscience beyond boundaries: Dr. Melissa Perreault bridges Indigenous knowledge and brain science
Reports and Proceedings
Updates every hour. Last Updated: 4-Sep-2025 11:11 ET (4-Sep-2025 15:11 GMT/UTC)
Dr. Melissa Perreault, neuroscientist and professor at the University of Guelph, is breaking new ground by integrating Indigenous perspectives into neuroscience. In a Genomic Press Interview, she shares her personal and professional journey, exploring how her research on neuropsychiatric biomarkers, psychedelic medicine, and neuroethics can drive personalized treatments and create a more inclusive scientific future.
For the first time in the world, the molecular structure of the motor component that powers the gliding apparatus of Mycoplasma mobile, one of the few mycoplasma bacteria that can move, has been revealed by an Osaka Metropolitan University-led research team using cryo-electron microscopy.
The virtual teaching and research section for database courses proposes an open community-based operating model, founded on the core concepts of "openness, dedication, competition, and orderliness." It establishes a hierarchical organizational structure and working group operation mechanism.
A recent review has unveiled an innovative method for monitoring fossil fuel CO2 emissions using satellite observations of co-emitted NO2. This approach promises to provide more precise and efficient emission tracking compared to traditional ground-based methods, overcoming significant challenges in distinguishing human-made emissions from natural sources. By capitalizing on the short atmospheric lifespan and high detectability of NO2, this method enhances the ability to monitor emissions at a variety of scales, from individual power plants to entire nations. This new technique plays a vital role in bolstering global climate change mitigation efforts and ensuring countries meet their commitments under the Paris Agreement.
A groundbreaking primer design tool from the Zhang Liye Laboratory automates the search across entire genomes for pathogen detection, significantly enhancing the speed and accuracy of infectious disease diagnosis