Careful selection of Cas13 variants and delivery methods minimizes collateral RNA degradation.
Category: biotech/medical – Page 551
Alzheimer’s scientist resigns after university finds ‘data integrity concerns’ in papers
Sylvain Lesné, a neuroscientist accused of image manipulation in a seminal Alzheimer’s disease paper in, resigned last week from his tenured professorship at the University of Minnesota Twin Cities (UMN). The move follows a 2.5-year investigation in which the university found problems with several other papers on which Lesné is an author. The study has already been pulled, but the school has asked that four more of Lesné’s papers be retracted.
The resignation, effective 1 March, was first reported by the. Lesné did not respond to a request for comment. UMN spokesperson Jake Ricker said, “The university has identified data integrity concerns impacting several publications and has been in touch with those journals to recommend retraction of the publications, where appropriate.”
As a postdoc, Lesné worked in the lab of neuroscientist Karen Ashe. In 2006, they published a study in that seemed to show a cause-effect relationship between a protein—amyloid-beta *56—and memory loss in rats. Those symptoms seemed to resemble the memory problems that afflict Alzheimer’s patients.
Mitochondrial Dysfunction May Lead to Diabetes & Other DIseases
Mitochondria are well known as the powerhouses of the cell. These crucial, energy generating organelles even have their own little genomes, and make their own proteins. Mutations in mitochondrial DNA (mtDNA) can cause some serious diseases, and dysfunctional mitochondria have been associated with a wide variety of health disorders. Researchers have also found links between mitochondrial defects and diabetes.
There are special cells in the pancreas known as beta cells, which is where insulin is generated. When these cells are lost due to an autoimmune attack, type 1 diabetes arises. Some studies have determined that there are abnormal mitochondria in the beta cells of some diabetes patients.
Brain-inspired neural networks reveal insights into biological basis of relational learning
Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in the world. This ability, known as “relational learning,” is widely regarded as critical for cognition and intelligence, as learned relationships are thought to allow humans and animals to navigate new situations.
Researchers at ML Collective in San Francisco and Columbia University have conducted a study aimed at understanding the biological basis of relational learning by using a particular type of brain-inspired artificial neural network. Their work, published in Nature Neuroscience, sheds new light on the processes in the brain that could underpin relational learning in humans and other organisms.
“While I was visiting Columbia University, I met my co-author Kenneth Kay and we talked about his research,” Thomas Miconi, co-author of the paper, told Medical Xpress.