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Categories: Biology: Genetics, Mathematics: Modeling
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis
(via sciencedaily.com) Original source Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
Published Liquid droplets shape how cells respond to change
(via sciencedaily.com) Original source New research has shown that cells regulate cAMP/PKA signaling by forming liquid droplets that segregate excess PKA catalytic subunits where they can do no harm. Some cancers may block the formation of liquid droplets, leading to hyperactive signaling and tumor formation.
Published AI can improve Alzheimer's treatment through the 'gut-brain axis'
(via sciencedaily.com) Original source Researchers are using artificial intelligence to uncover the link between the gut microbiome and Alzheimer's disease. Previous studies showed that Alzheimer's disease patients have changes in their gut bacteria as the disease develops. The study outlines a computational method to determine how bacterial byproducts called metabolites interact with receptors on cells and contribute to Alzheimer's disease.
Published Scientists discover the cellular functions of a family of proteins integral to inflammatory diseases
(via sciencedaily.com) Original source In a scientific breakthrough, researchers have revealed the biological mechanisms by which a family of proteins known as histone deacetylases (HDACs) activate immune system cells linked to inflammatory bowel disease (IBD) and other inflammatory diseases.
Published New sensing checks for 3D printed products could overhaul manufacturing sector
(via sciencedaily.com) Original source A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Published Predicting cardiac arrhythmia 30 minutes before it happens
(via sciencedaily.com) Original source Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.
Published Protein network dynamics during cell division
(via sciencedaily.com) Original source An international team has mapped the movement of proteins encoded by the yeast genome throughout its cell cycle. This is the first time that all the proteins of an organism have been tracked across the cell cycle, which required a combination of deep learning and high-throughput microscopy.
Published AI weather forecasts captured Ciaran's destructive path
(via sciencedaily.com) Original source The study highlights the rapid progress and transformative potential of AI in weather prediction.
Published The enemy within: How pathogens spread unrecognized in the body
(via sciencedaily.com) Original source Some pathogens hide inside human cells to enhance their survival. Researchers have uncovered a unique tactic certain bacteria use to spread in the body without being detected by the immune system. In their study, they reveal the crucial role of a bacterial nanomachine in this infection process.
Published Key protein regulates immune response to viruses in mammal cells
(via sciencedaily.com) Original source Researchers have revealed the regulatory mechanism of a specific protein, TRBP, that plays a key role in balancing the immune response triggered by viral infections in mammal cells. These findings could help drive the development of antiviral therapies and nucleic acid medicines to treat genetic disorders.
Published Light show in living cells
(via sciencedaily.com) Original source Observing proteins precisely within cells is extremely important for many branches of research but has been a significant technical challenge -- especially in living cells, as the required fluorescent labeling had to be individually attached to each protein. The research group has now overcome this hurdle: With a method called 'vpCells,' it is possible to label many proteins simultaneously, using five different fluorescent colors.
Published Teaching a computer to type like a human
(via sciencedaily.com) Original source A new typing model simulates the typing process instead of just predicting words.
Published When thoughts flow in one direction
(via sciencedaily.com) Original source Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.
Published Marine microbial populations: Potential sensors of the global change in the ocean
(via sciencedaily.com) Original source Animal and plant populations have been extensively studied, which has helped to understand ecosystem processes and evolutionary adaptations. However, this has not been the case with microbial populations due to the impossibility of isolating, culturing and analyzing the genetic content of the different species and their individuals in the laboratory. Therefore, although it is known that populations of microorganisms include a great diversity, this remains largely uncharacterized.
Published RNA's hidden potential: New study unveils its role in early life and future bioengineering
(via sciencedaily.com) Original source The origin of life continues to remain a matter of debate. The ribonucleic acid (RNA) world hypothesis proposes that 'ribozymes' which store genetic information and possess catalytic functions may have supported the activities of early life forms. Now, researchers explore how RNA elongation is regulated allosterically, shedding light on its impact on early life processes and offering insights into the fabrication of arbitrary RNA nanostructures with various modern applications.
Published Calorie restriction study reveals complexities in how diet impacts aging
(via sciencedaily.com) Original source The rate at which human cells age is influenced by multiple interconnected factors. New research examined how restricting calories influences telomere length and biological aging.
Published Solving a mini mystery of cell division
(via sciencedaily.com) Original source Trying to hit a target size before dividing seems like the best strategy for maintaining a precise cell size, but bacteria don't do that. Now we know why.
Published Plant sensors could act as an early warning system for farmers
(via sciencedaily.com) Original source Using a pair of sensors made from carbon nanotubes, researchers discovered signals that help plants respond to stresses such as heat, light, or attack from insects or bacteria. Farmers could use these sensors to monitor threats to their crops, allowing them to intervene before the crops are lost.
Published Tracking a protein's fleeting shape changes
(via sciencedaily.com) Original source Researchers have developed a powerful, new technique to generate 'movies' of changing protein structures and speeds of up to 50 frames per second.
Published Making crops colorful for easier weeding
(via sciencedaily.com) Original source To make weeding easier, scientists suggest bioengineering crops to be colorful or to have differently shaped leaves so that they can be more easily distinguished from their wild and weedy counterparts. This could involve altering the crops' genomes so that they express pigments that are already produced by many plants, for example, anthocyanins, which make blueberries blue, or carotenoids, which make carrots orange. Then, they say, weeding robots could be trained to remove only the weeds using machine learning.