HKUST engineers develop CarGAP, a vitamin B₁₂ and light-controlled molecular valve to precisely regulate cell communication
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Updates every hour. Last Updated: 27-May-2026 04:15 ET (27-May-2026 08:15 GMT/UTC)
The bright colors of butterfly wings, the sweet aromas of flowers and the euphonious melodies of songbirds all evolved as signals that help individuals propagate, yet humans also find these very same signals pleasing to their own senses. In a study published today, Mar. 19, in Science, scientists from the Smithsonian Tropical Research Institute (STRI) collaborated with researchers in U.S., Canada, and New Zealand to show that humans and animals not only express the same subjective preferences for one type of signal—particular animal mating calls. In addition, across the range and complexity of the animal sounds found in nature, humans and animals show overlapping preferences for certain qualities of an animal’s call. These findings indicate that preferences for some animal sounds are more universal than previously known.
Do humans share a sense of acoustic beauty with other animals? According to a new study, the answer may be yes. In a global citizen-science experiment, researchers show that humans tend to prefer many of the same animal sounds that animals themselves favor – findings that offer support for Charles Darwin’s longstanding idea that different species can share a “taste for the beautiful.” Across the animal kingdom, animals produce sounds to communicate and attract mates. Although mating calls and songs vary within a species, those listening for them often favor certain variations over others. These preferences can arise from inherent sensory biases, evolutionary pressures, or a combination of both. Because the basic organization of sensory systems is widely shared across species, the sounds designed to attract conspecifics, such as a pleasant birdsong, may also appeal to other species, including humans – a theory that Charles Darwin called “a taste for the beautiful.” However, the idea that humans share similar aesthetic preferences for sounds with other animals has not been rigorously tested.
Logan James and colleagues conducted a global citizen-science experiment in which 4,196 human participants evaluated 110 pairs of animal sounds recorded from 16 species. In each pair, previous studies had already established which sound animals themselves preferred. Participants chose which of the two paired sounds they liked more, allowing the authors to compare human acoustic preferences with animals’. James et al. found that humans share certain acoustic preferences with a wide range of animals, including insects, frogs, birds, and other mammals. Overall, humans were more likely than chance to prefer the same sounds that animals themselves favor, and this agreement strengthened when animals showed clearer preferences. Moreover, humans tended to choose animal-preferred sounds more quickly and repeatedly. Together, these findings suggest a modest but consistent overlap between human aesthetic judgments and the signals animals use in mate choice. According to the authors, preferences likely reflect complex combinations of cues rather than any single property such as pitch, loudness, or duration. However, humans showed one notable tendency – they favored lower-pitched sounds. The findings also suggest neither expertise with animal sounds nor musical training increased agreement with animals’ preferences, though individuals who reported listening to more music daily showed slightly greater alignment, possibly due to enhanced auditory attention and discrimination.
New treatments for neurodegenerative diseases like Alzheimer’s, Parkinson’s, and motor neurone disease (MND) could be unlocked thanks to microscopic medicines developed by researchers at the University of Essex. Using artificial intelligence, an international team of scientists has created tiny antibody fragments that can be made directly inside human cells, where they bind to proteins linked to disease. These redesigned molecules will be made freely available to other scientists now the research has been published in Nature Communications.
A recent commentary in Biological Diversity highlights the Hefei Botanical Garden's innovative and comprehensive efforts in plant germplasm conservation, sustainable resource utilization, and public education, establishing it as a vital benchmark for regional biodiversity protection and urban ecological development in East China.
A multinational research team led by researchers at Institute of Science Tokyo, RIKEN, and the University of Toronto has revealed how a tryptophan-rich allosteric communication network regulates receptor dynamics and activation of the human adenosine A2A receptor (A2AR), a major G protein-coupled receptor (GPCR) drug target. By integrating experimental functional assays and residue-specific NMR with molecular simulations and fast allostery-prediction algorithms based on rigidity theory, the team mapped long-range allosteric communication pathways linking the ligand-binding pocket to the intracellular G protein–coupling machinery and identified a central role for tryptophan residues along these pathways. The study also clarifies the functional role of the receptor’s conserved sodium-binding pocket, showing that sodium egress strongly promotes activation-related conformational states, including a precoupled state that likely prepares the receptor for productive G protein interaction. These findings deepen our understanding of GPCR activation and allostery, and may support future development of allosteric GPCR drugs.
Beyond the specific mechanism, this work addresses a major bottleneck for AI in structural biology: recent advances such as AlphaFold have transformed prediction of static protein structures, but AI still cannot reliably predict the dynamics and allosteric communication that determine function, signaling, and drug response. To help close this gap, the researchers developed and applied fast computational methods for probing allosteric and dynamic regulation in protein structures and anchored these predictions with experimental NMR validation. The resulting experimentally validated, computationally generated data on allostery and dynamics—and a scalable approach to extend these datasets across diverse receptors and conditions—provide scarce, high-value training and benchmarking data for next-generation AI models aimed at predicting protein function beyond static structure, accelerating future AI-driven prediction of protein function and the design of selective GPCR therapeutics.
Fibrotic scarring is a major challenge in recovery post spinal cord injury (SCI). Researchers reveal that transforming growth factor- β1 (TGF- β1) signaling promotes scar tissue formation by encouraging fibroblast development from MSCs and pericytes. Using a mouse model, Dr. Dayu Pan and his team of researchers reveal that limiting macrophage-derived TGF-β1 reduced scar formation and improved recovery, suggesting that targeting abnormal TGF- β1 activation may aid in recovery after SCI.
Glycosylated RNAs (glycoRNA) represent a newly discovered class of glycosylated biomolecules that challenge the long-standing view that glycosylated occurs exclusively on proteins and lipids. Accumulating evidence indicates that glycoRNA are widely distributed across diverse cell types and species and participate in biological process such as immune regulation and intercellular communication. In glycoRNA research, mass spectrometry (MS)-based glycomics provides critical information, offering insights into the biological functions of RNA glycosylation. This review summarizes recent advances in MS-based analytical strategies, including sample collection, RNA extraction, glycoRNA enrichment, glycan release and purification, derivatization, liquid chromatography separation, MS detection, and data analysis.