Reviews & Analysis

A broadly applicable method allows selective, rapid and efficient chemical modification of the side chain of tryptophan amino acids in proteins. This platform enables systematic, proteome-wide identification of tryptophan residues, which can form a bond (called cation–π interaction) with positively charged molecules. Such interactions are key in many biochemical processes, including protein-mediated phase separation.

An ambitious investigation has analysed discourse on eight social-media platforms, covering a vast array of topics and spanning several decades. It reveals that online conversations increase in toxicity as they get longer — and that this behaviour persists despite shifts in platforms’ business models, technological advances and societal norms.

An innovative solid-state lithiation strategy allows the exfoliation of layered transition-metal tellurides into nanosheets in an unprecedentedly short time, without sacrificing their quality. The observation of physical phenomena typically seen in highly crystalline TMT nanosheets opens the way to their use in applications such as batteries and micro-supercapacitors.

Applications from quantum computing to searches for physics beyond the standard model could benefit from precision control of polyatomic molecules. A method of confining and manipulating single polyatomic molecules held in tightly focused ‘optical tweezer’ laser arrays at ultracold temperatures could boost progress on all those fronts.

The largest genome-wide association study for type 2 diabetes so far, which included several ancestry groups, led to the identification of eight clusters of genetic risk variants. The clusters capture different biological pathways that contribute to the disease, and some clusters are associated with vascular complications.

Anthropogenic climate change is accelerating the hydrological cycle, causing an increase in the risk of flood-related disasters. A system that uses artificial intelligence allows the creation of reliable, global river flood forecasts, even in places where accurate local data are not available.

Genetic variants contribute to the risk of developing certain diseases, but identifying the genes and molecular pathways under their control has been difficult. Now, a systematic approach to pinpointing these factors yields insights into how a specific pathway in endothelial cells influences the risk of coronary artery disease.

Humans and other social animals are highly adept at learning by observing how others interact with the environment, especially when identifying potential sources of danger. In mice, a specific brain region acts as an information-processing hub that distinguishes between observed and directly experienced fear, and signals different behavioural responses accordingly.

Cutting-edge communication (6G and beyond) will rely on precise time control of large amounts of wirelessly transferred information. To achieve this precision, a ‘quasi-true time delay’ chip has been designed that packs as much time delay as possible into a tiny area using 3D waveguides whose length can be varied as required.

This study identifies a major migratory route for young neurons in the brains of young children. This route forms during pregnancy and links the birthplace of these nerve cells to their destination in highly interconnected brain regions that are responsible for memory and spatial processing.

In organic chemistry, finding conditions that enable a broad range of compounds to undergo a particular type of reaction is highly desirable. However, conventional methods for doing so consume a lot of time and reagents. A machine-learning method has been developed that overcomes these problems.

Stress responses protect cells from harmful conditions, but once the stress has resolved, these responses must be actively turned off to avoid cell damage that might lead to the development of neurodegenerative disease.

A combination of technical improvements in noise mitigation enabled the observation of the quantum force of light on a millimetre-scale drum at room temperature. This experimental system permits the drum’s position to be measured with an accuracy close to the quantum limit.

Nerve cells in the human brain take a remarkably long time to mature. This study identifies an epigenetic ‘barrier’ in neural precursor cells that determines the rate of neuronal maturation and is slowly released during the process. Inhibition of the barrier is shown to accelerate maturation in multiple human stem-cell-based models.

Agricultural fertilizers are the main global source of ammonia emissions, which harm human health and reduce farmers’ profits. An analysis using big data and machine learning reveals that locally optimized fertilizer-management and tillage practices could slash ammonia emissions from rice, wheat and maize cultivation by up to 38%.

An innovative high-strength ceramic consists of interlocked, nanometre-scale plates in which stacked layers of the material are twisted relative to each other. It can deform at room temperature without fracturing instantly — thereby achieving a long-standing goal for materials scientists.

The fractional quantum anomalous Hall effect occurs when the Hall resistance in a material is quantized to fractional multiples of the fundamental unit h/e² at zero magnetic field. Observing the effect in a system consisting of a combination of five-layer graphene and hexagonal boron nitride enriches the family of topological matter phases, and opens up new opportunities in quantum computation.

Human embryos are extremely difficult to study. This lack of samples limits our understanding of crucial developmental stages, such as the early formation of blood cells. A stem-cell-based model closely captures the development of human embryonic and key extra-embryonic tissues after implantation, as well as the formation of early blood cells.

Electrochemical reduction of carbon dioxide holds promise for converting CO₂ into valuable products but is hampered by stability issues and wasted carbon. A proton-exchange membrane that uses lead as a catalyst demonstrates the feasibility of durable and efficient CO₂ reduction.

Tailoring symmetries in an innovative class of optoelectronic metasurface produces a rich landscape of tunable current patterns down to the nanoscale. These materials provide opportunities for ultrafast light-controlled charge flows that could have applications in terahertz science, information processing and other realms.