Scientists put nanomotors in motion in artificial cells
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Dec-2025 05:11 ET (21-Dec-2025 10:11 GMT/UTC)
Scientists at Aarhus University have developed nanomotors inspired by the bacterium Listeria monocytogenes and placed them inside artificial cells. The nanomotors drive the formation of internal protein networks resembling a cytoskeleton, giving artificial cells a life-like function previously seen only in living cells and marking a step toward self-organizing synthetic systems.
A team of LMU nanophysicists identifies new mechanisms of plasmonic damping
In a newly published review, Professor Xiao-Jun Huang's team at Peking University People's Hospital explore how haploidentical hematopoietic stem cell transplantation (haplo-HSCT), once limited by severe immune complications, has transformed into a routine treatment and a unique platform for studying the restoration of immune homeostasis.
Identifying the molecular basis of obesity has been a cornerstone in metabolic research. Building on this, a research team from Chonnam National University Medical School, Republic of Korea, discovered a new role of Ret finger protein (RFP) in driving fat cell formation and metabolism. They found that mice lacking RFP resisted weight gain and had better metabolic profile even on a high-fat diet—highlighting RFP as a promising target for obesity and related metabolic diseases.
Doenjang, a traditional Korean fermented soybean paste, contains natural umami and kokumi-active compounds. A new study from Jeonbuk National University found that monosodium glutamate (MSG) and nucleotide-based seasonings affect doenjang soup differently. Nucleotides mainly boost umami, while MSG strongly enhances both umami and kokumi, resulting in higher consumer acceptance.
Femtosecond laser-induced periodic surface structures can be used to control thermal conductivity in thin film solids, report researchers from Japan. Their innovative method, which leverages high-speed laser ablation, produces parallel nanoscale grooves with unprecedented throughput that is 1,000 times stronger than conventional approaches, strategically altering phonon scattering in the material. This scalable and semiconductor-ready approach could make it possible to mass-produce thermal engineering structures while maintaining laboratory-level precision.
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of high-resolution lysimeter data, the research demonstrates strong performance across tomatoes, wheat, and barley. The findings point toward future tools that may support both irrigation management and early detection of plant stress.