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Superconducting-qubit quantum annealers have served as platforms for simulating condensed-matter phenomena. Sathe et al. use a quantum annealer to probe critical phenomena in classical magnets by reliably sampling thermal distributions, revealing universal signatures of phase transitions without classical slowdowns.

It has been commonly assumed that self-correcting quantum memories are only possible in systems with finite-temperature phase transitions to topological order. Here the authors show a complete breakdown of this expectation in quantum low-density parity-check codes.

Light-matter interactions can induce phases and physics not observable in the equilibrium regime of a quantum material but understanding the underlying mechanisms can be challenging. Here, the authors show a generalised Gibbs ensemble applied to photo-doped states in Mott insulators can be used to investigate the non-thermal phases of various correlated states.

In statistical physics, systems usually become disordered at high temperatures, but some exhibit entropic order when heated, where one type of ordering enables greater fluctuations in another. Here the authors show how this type of order can persist to arbitrarily high temperature in simple classical and quantum many-body models.

Artifact mutations from FFPE are a major barrier blocking WGS adoption in clinical oncology. FFPErase, a machine learning framework, eliminates these with high accuracy in multiinstitutional datasets, delivering clinical-grade variant reports.

We present a synthetic method that transforms complex pyrimidine-containing structures into iminoenamines and then uses de novo heterocycle synthesis to obtain substituted pyrimidine and 1,2-azole analogues.

The zinc–zinc bonded complex, Cp*ZnZnCp* (Cp* = pentamethylcyclopentadienyl), undergoes facile addition to the metal (or semi-metal) centres of a series of main group carbene analogues based on silicon, aluminium, gallium or indium. The addition of Cp*ZnZnCp* to silicon(II) provides a compelling case for a prototypical reductive addition process.

The response of organic molecules to climate change is linked to warming, nutrient loading, and greenhouse gas emissions, according to an indicator developed to quantify the aggregated thermal response of individual organic molecules.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

u-Segment3D is a universal framework that translates and enhances 2D instance segmentations to a 3D consensus instance segmentation without training data. It performs well across diverse datasets, including cells with complex morphologies.

Defined levels of SARS-CoV-2-specific binding and neutralizing antibodies elicited by the COVID-19 vaccine ChAdOx1 nCoV-19 are identified as correlates of protection against symptomatic infection.

Garnet-type LLZO electrolytes are considered among the most promising solid-state electrolytes for all-solid-state batteries; however, numerous challenges need to be addressed before they are integrated into a cell. By precipitating amorphous zirconium oxide onto grain boundaries, increased ionic conductivity is observed and dendrite growth is suppressed.

A combination of whole-genome NanoSeq with deep whole-exome and targeted NanoSeq is used to accurately characterize mutation rates and genes under positive selection in sperm cells.

In this largest whole-exome sequencing study of epilepsies to date, the Epi25 Collaborative identified extremely rare variants that confer risk for diverse epilepsy subtypes, highlighting roles in synaptic transmission and neuronal excitability.

Stabilization from aromatic electron delocalization is highly favourable so it is typically preserved in even grossly distorted molecules. Now, peripheral overcrowding of an aromatic tropylium has been shown to cause sufficient geometric strain to rupture aromaticity, forming a non-aromatic bicyclic system that is in rapid equilibrium with its aromatic counterpart.

The Southern Ocean seasonal ice zone can be divided into 3 dynamical regimes based on the magnitude and sign of the mean submesoscale vertical heat flux using instrumented seal data.

Fine-mapping of causal variants and integration of epigenetic and chromatin conformation data identify likely target genes for 150 breast cancer risk regions.

Deep learning-based generative tools are used to design protein building blocks with well-defined directional bonding interactions, allowing the generation of a variety of scalable protein assemblies from a small set of reusable subunits.

Few non-copper catalysts have been observed to produce appreciable amounts of propane—a useful fuel—by electrochemical reduction of CO₂. New research shows that ionomer-coated imidazolium-functionalized Mo₃P nanoparticles produce propane with high activity and selectivity.

Engineering stabilized proteins is essential for industrial and pharmaceutical biotechnologies. Here, authors present Stability Oracle, a Graph-Transformer framework trained on protein masked microenvironments to predict protein thermodynamic stability, using less training data while achieving improved generalization.

Large-scale combination drug screens in cancer are extremely challenging because of the immense number of possible combinations. Here, the authors develop BATCHIE, a Bayesian active learning platform to design scalable and maximally informative drug combination screening assays; this is validated in retrospective and prospective cancer studies.

In deep learning, simple optimizers navigate complex loss landscapes to find solutions that generalize well. Here, authors elucidate this ability by directly linking key landscape features, such as multiscale structures, with diverse optimization dynamics, including the edge of chaos.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

When a glass transforms into a liquid, is the absorbed specific heat vibrational or configurational in origin? Vibrational spectroscopy experiments on strong and fragile metallic glasses now strongly suggest the latter.

GIANT, a genetically informed brain atlas, integrates genetic heritability with neuroanatomy. It shows strong neuroanatomical validity and surpasses traditional atlases in discovery power for brain imaging genomics.

Free energy calculations are an essential tool to identify targets for individual proteins. Here, authors describe free energy perturbation (FEP+) calculations to optimise on target and off-target potencies for the discovery of potent Wee1 inhibitors with kinome-wide selectivity.

Body size and composition are complex traits that are challenging to characterize due to environmental and genetic influences. Here, Arehart et al. disentangle shared and distinct genetic signals underlying body size and composition.

An understanding of the molecular mechanisms promoting the generation of immunoregulatory and tumour-promoting monocytes and macrophages is key to breaking the cycle of tumour myelopoiesis and developing more effective myeloid-targeting therapies.

The strained C₆H₆ isomer 1,2,3-cyclohexatriene and its derivatives participate in a host of reaction modes which demonstrate their potential for selective chemical transformations and provide an unconventional entryway to complex scaffolds.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Here the authors perform a trans expression quantitative trait locus meta-analysis study of over 3,700 people and link a USP18 variant to expression of 50 inflammation genes and lupus risk, highlighting how genetic regulation of immune responses drives autoimmune disease and informs new therapies.

Most chemical reactions proceed downhill without external energy input. Here, authors employ an electronic flyback and a boost converter to store energy and spontaneously drive an uphill reaction. The concept is exhibited by an enzymatic biofuel cell, driving water splitting in a single compartment.

Ore deposits and nuclear reactors are greatly affected by the solubility and speciation of uranium at elevated (>100 °C) temperature. Here, the authors identify a new uranium chloride species (UCl₄⁰), which is mobile under reducing conditions, thereby necessitating a re-evaluation of uranium mobility.

Frequent dispersal and short-lived local transmission clusters fuelled the 2013–2016 Ebola virus epidemic in Guinea, Liberia and Sierra Leone.

Interpreting spectroscopic data in real time remains a challenge in chemical characterization. Here a digital twin framework is developed that links first-principles theory and experimental data via a bidirectional feedback loop, enabling on-the-fly decision-making and insights into reaction mechanisms based on measured spectra during chemical experiments.

A haem protein that serves as a dual-function catalyst capable of inserting a carbene into a N–H bond to form α-amino lactones has been reported. The enzyme catalyses both carbene transfer and the subsequent proton transfer in a single active site. This transformation can proceed at the gram scale with high efficiency and enantioselective control.

Graphene multilayers can host heavy electrons in flat bands alongside light electrons in Dirac cones. Local probes now reveal that a finite Dirac electron population persists at the Fermi level while correlated states form in the flat bands.