Browse Articles

Here the authors show that H2A.Z histone variant incorporation reduces the nucleosomal barrier for transcription. Furthermore their simulations reveal that H2A.Z facilitates spontaneous DNA unwrapping from the histone octamer and enhances nucleosome gaping.

Lithium metal batteries (LMBs) with inorganic solid-state electrolytes suffer from lithium dendrites propagation. Here, the authors demonstrate the production of stable lab-scale LMBs using an Ag-coated Li_6.4La₃Zr_1.7Ta_0.3O₁₂ inorganic solid electrolyte in combination with a silver-carbon interlayer.

Glioblastoma is a highly aggressive, and also the most common, brain tumour type in adults. Here, the authors generate a nanoparticle encapsulating the TLR7/8 agonist, R848, which induces tumour regression in mice by reprogramming myeloid cells independently of T and NK cells.

Paracrystalline state is still challenging to reach in alloy systems in a controlled manner. Here, the authors present an atomic-level tailoring route to create paracrystalline Zr-Nb-Hf-Ta-Mo high-entropy alloy through local amorphization induced by atomic-level Pt with negative mixing enthalpy.

Inhibition of 15-prostaglandin dehydrogenase (15-PGDH) is a promising therapeutic target for regenerative medicine. We report the structure of 15-PGDH in complex with two different inhibitors. Unexpectedly, access to the binding pocket is regulated by a dynamic “lid” of the enzyme.

Structural colors arise from nanostructures or special microgeometries. Here, the authors report on crescent-shaped microparticles as full-color reflective pigments that show brilliant colors in directional light and are transparent in ambient light.

Here, Elbasir et al. develop viRNAtrap, a deep learning approach for detection of viruses from tumor RNA sequencing data, which they showcase on an RNA dataset of different cancer types, revealing tumor expression of divergent viruses that had not been previously implicated in cancer.

Delivery of immune therapy drugs to tumours might be hampered by their limited bioavailability and the difficulty of targeting complex exogenous compounds. Here authors trigger immunologic cell death, via activating tumour-cell-intrinsic pathways via CRISPR-based nanotechnology to enable efficient anti-tumour immune response in mouse models of melanoma.

The origins of the pair of X-ray bubbles, called eROSITA bubbles (eRBs), detected in the halo of Milky Way are debated. Here, the authors show hydrodynamical simulations suggesting circumgalactic medium wind model can explain asymmetric eRBs.

EDA variants are associated with X-linked hypohidrotic dysplasia. Here, the authors report the crystal structure of the human EDA-EDAR complex, reveal the important role of this complex in ectodermal development and uncover the structural mechanism of disease-related mutations in EDA.

Using a large-scale 3D geodynamic model, the authors show how the transfer of subduction zone from the Pacific to the Atlantic triggered the formation of a mantle plume at the origin of the Cretaceous Caribbean Large Igneous province.

This study finds that high-latitude fish clades with the fastest speciation rates also exhibit elevated rates of depth evolution, creating a prevailing latitudinal gradient of deep-sea invasions concentrated in poleward regions. These results advance our understanding of how niche lability and climate shape global patterns of species distributions.

Here the authors show how the MTREC core protein Red1 binds to and sequesters Pla1 from the 3’-end processing machinery to hyperadenylate cryptic unstable transcripts and target them to the exosome for efficient degradation.

Characterizing genomic elements under accelerated evolution is crucial for understanding the genomic basis of human evolution and disease. Here, Zhang et al. introduce GroupAcc, a collection of two pooling-based phylogenetic methods with enhanced sensitivity to examine accelerated evolution in transcription factor binding sites.

Electrochemical conversion of ammonia to nitrogen has important energy and environmental applications but is hindered by lack of efficient electrocatalysts. Here the authors use quantum chemistry and machine learning to gain insights into the reaction mechanism and accelerate the design of highly active Ir-free trimetallic catalysts.

Dimension reduction is an indispensable part of modern data science, and many algorithms have been developed. Here, the authors develop a theoretically justified, simple to use and reliable spectral method to assess and combine multiple dimension reduction visualizations of a given dataset from diverse algorithms.

Influenza A virus replication relies on host cell-derived ubiquitination of the viral polymerase. Here, Günl et al. show that site-specific ubiquitination of PB1-K578 is acquired during infection and facilitates spatiotemporal control of polymerase dimerization and NP binding.

Custom proteases find applications as therapeutics, in research and in biotechnological applications. Here, the authors establish a protease selection system based on bacterial alpha-2-macroglobulin protease inhibitors and evolve staphylococcal proteases for increased activity and altered specificity.

Computational methods to study protein structural dynamics are a powerful tool in life sciences but are computationally expensive. Here, the authors show that machine learning can be used to efficiently generate protein conformational ensembles and test their method on intrinsically disordered peptides.

The authors present a photonic scheme for terahertz synthesis using an optical frequency comb in stabilization to an ultra-low expansion optical cavity, achieving an unprecedented level of frequency instability of 10⁻¹⁵ at 1-s integration over the tunable range of 0.1–1.1 THz.