Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
The aryl hydrocarbon receptor (AHR) plays important roles in regulating xenobiotic metabolism, cellular differentiation, and immunity. Here, the authors present multiple crystal structures of the Drosophila AHR PAS-B domain, providing insights into the mechanism of AHR ligand binding
Inducible disruption of TET dioxygenases in mouse embryonic stem cells results in chromosome mis-segregation and aneuploidies, due to Khdc3 downregulation suggesting a role for TET enzymes and DNA methylation patterns in maintaining genome stability.
Ageing normal oesophagus epithelium contains p53 mutant clones. Here the authors use transgenic mice to show how these clones form and contribute to cancer development.
An effective delivery system and imaging method for 5-Aminolevulinic acid (5-ALA)-based photodynamic therapy facilitated by the conversion of 5-ALA to protoporphyrin IX (PpIX) are lacking. Here, reversing the hypoxic tumour microenvironment can increase the in vivo biosynthesis of PpIX through the regulation of PpIX-related synthetases for traceable photodynamic therapy.
Bahn et al explore the role of the lipid raft protein Prominin-1 in liver regeneration. They show that Prominin-1 promotes hepatocyte proliferation after acute liver injury by interacting with the signal transducer GP130, confining it to lipid rafts and activating IL-6 signaling pathway and eventual activation of STAT3.
Phosphorylation of the essential myosin light chain (ELC) influence actin-myosin crossbridge cycling in the heart. Here, the authors show upregulated ELC-phosphorylation in systolic heart failure and identify NIMArelated kinase 9 to bind to ELC mediating its calcium-dependent phosphorylation.
Fibroblast-like synoviocytes (FLS) are used as a model of rheumatoid arthritis synoviocytes, although cell lines derived from individual patients can have heterogeneous biology. Here the authors use a Taiji computational approach to analyze gene expression, chromatin accessibility and functional differences between individual patient-derived RA FLS lines.
While photoelectrochemical water splitting produces fuel from solar energy, a large fraction of photoanode photoexcited charge carriers cannot be extracted efficiently at low bias voltages. Here, authors improve the charge transport in P-doped BiVO4 by mediating polaron hopping and trap states.
Mixed dimensional 2D/3D halide perovskite solar cells practically deliver poorer efficiency, and the 2D fragments have been considered responsible. Here, the authors unveil a photoinduced carrier blocking effect at the 2D/3D perovskite interface that could truly jeopardize device parameters.
The response regulator SsrB, a master activator of the Salmonella pathogenicity island-2 gene cluster, is under allosteric control of thioredoxin. Authors utilise in vitro and in vivo models to investigate if other members of the response regulator family might have adopted thioredoxin as a regulator.
People are remarkably good at learning about others’ personalities. Here, the authors develop computational models showing that this learning relies on a combination of prior beliefs and similarities between personality traits.
During evolution, plants have adapted to habitats with distinct temperature ranges. In this study, scientists report that a specific RNA structure motif, RNA G-quadruplex (RG4) is enriched across genomes of plant species growing in colder climates.
Outer hair cell electromotility, driven by prestin, is essential for mammalian cochlear amplification. Here, the authors report the cryo-EM structures of thermostabilized prestin in the presence of various anions, providing insight into the mechanisms of mammalian cochlear amplification.
The development of machine learning systems has to ensure their robustness and reliability. The authors introduce a framework that defines a principled process of machine learning system formation, from research to production, for various domains and data scenarios.
The authors present cryogenic contrast-enhanced MicroCT (cryo-CECT), which by freezing stained samples at optimal freezing rates improves the visualization of the tissue microstructure. They demonstrate quantitative 3D analysis of individual tissue constituents, such as muscle and collagen fibers.
Proteomics can be used to refine cancer classification. Here, the authors characterise chronic lymphocytic leukaemia patients by proteogenomics, and identified a subtype of patients with poor prognosis associated with aberrant B cell receptor signalling.
Bioactive peptides regulate many physiological functions but progress in discovering them has been slow. Here, the authors use a machine learning framework to predict mammalian peptide candidates from the global and local structure of large-scale tissue-specific mass spectrometry data.
During mercerization, cellulose undergoes a conversion from form I to form II which involves change of the direction of every other cellulose chain but a clear understanding of how this change happens is lacking. Here, the authors use neutron diffraction on deuterium labelled cellulose to demonstrate that chains fold back on themselves in a zigzag pattern to form crystalline anti-parallel domains.
Non-reciprocal charge transport refers to the different resistance between positive and negative current, and is fundamental in a variety of applications, for instance, current rectification. Some materials exhibit intrinsic nonreciprocal transport, but manipulation of this can be challenging. Here, the authors demonstrate large non-reciprocal transport which can be switched magnetically, is stacking dependent, and can be tuned via an applied gate voltage.
Microbiome composition is influenced by genetics, although the specific host genetic factors responsible are not well known. Here, the authors performed a genome-wide meta-analysis to discover host genetic effects on skin microbiota and finding potential causal effects of microbiota composition on skin diseases.