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Aperiodic composite crystals were discovered that emulate 2D moiré materials, demonstrating a potentially scalable approach for producing moiré materials for next-generation electronics and a generalizable approach for realizing theoretical predictions of higher-dimensional quantum phenomena.

The lowest-frequency gravitational wave background may be shaped by supermassive black hole binaries that scatter nearby stars or dark matter. In this case, the NANOGrav 15-year dataset favours dense galactic centres with 10⁶ solar masses per cubic parsec.

IL-17A, a cytokine important for tissue repair, can impair healing when increased, contributing to keratinocyte dysfunction in type 2 diabetic wounds. Here, the authors show that IL-17A drives this dysfunction via JMJD3-mediated epigenetic changes, and that blocking this pathway improves wound healing.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

CaBLAM is a bioluminescent genetically encoded calcium indicator that delivers high-contrast signals as shown in cell culture, in the in vivo mouse brain and in zebrafish larvae.

The influence of mRNA splicing on colon cancer development and progression is unclear. In this study, the authors demonstrate that the SRSF1 splicing factor is essential to sustain the stem cell phenotype of WNT-activated colorectal cancers.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

Allelic variants for the HIV-1 co-receptors chemokine receptor 5 (CCR5) and CCR2, as well as the ligand for the co-receptor CXCR4, stromal-derived factor (SDF-1), have been associated with a delay in disease progression. We began this study to test whether polymorphisms in the CCRS regulatory regions influence the course of HIV-1 disease, as well as to examine the role of the previously identified allelic variants in 1,090 HIV-1 infected individuals. Here we describe the evolutionary relationships between the phenotypically important CCRS alleles, define precisely the CCR5 regulatory sequences that are linked to the CCR5-Δ32 and CCR2-64I polymorphisms, and identify genotypes associated with altered rates of HIV-1 disease progression. The disease-retarding effects of the CCR2-64I allele were found in African Americans but not in Caucasians, and the SDF1-3′A/3′A genotype was associated with an accelerated progression to death. In contrast, the CCR5-Δ32 allele and a CCR5 promoter mutation with which it is tightly linked were associated with limited disease-retarding effects. Collectively, these findings draw attention to a complex array of genetic determinants in the HIV-host interplay.

Terrestrial ecosystem productivity is widely accepted to be nutrient limited. A series of standardized nutrient addition experiments, carried out on grasslands on five continents, suggests aboveground grassland productivity is commonly limited by multiple nutrients, including potassium and micronutrients.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Major histocompatibility complex (MHC) loss of heterozygosity, allele-specific mutation and measurement of expression and repression (MHC Hammer) detects disruption to human leukocyte antigens due to mutations, loss of heterogeneity, altered gene expression or alternative splicing. Applied to lung and breast cancer datasets, the tool shows that these aberrations are common across cancer and can have clinical implications.

Nanoscale beams are one platform for exploring quantum-mechanical phenomena in ever-larger systems. The collective motion of a macroscopic ensemble of ultracold atoms confined in an optical cavity is established as an alternative approach.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Real food webs are structured so that top predators couple distinct energy channels that differ in both productivity and turnover rate. Theory suggests that such coupling is critical to the maintenance of food web stability, with important implications for conservation and ecosystem management.

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.

The existence of a crystalline precursor is key to perovskite film formation, but the precise chemistry of the precursor and its transformation into perovskite are poorly understood. Here, the authors identify the crystal structure and conversion chemistry of the precursor for PbCl₂-derived methylammonium lead iodide perovskites.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Combination of epidemiology, preclinical models and ultradeep DNA profiling of clinical cohorts unpicks the inflammatory mechanism by which air pollution promotes lung cancer

Coupling advances in socioeconomic projections, climate models, damage functions and discounting methods yields an estimate of the social cost of carbon of US$185 per tonne of CO₂—triple the widely used value published by the US government.

In lung adenocarcinoma, antibodies against endogenous retroviruses promote anti-tumour activity, and expression of endogenous retroviruses can predict outcomes of immunotherapy.

Analyses of the TRACERx study unveil the relationship between tissue morphology, the underlying evolutionary genomic landscape, and clinical and anatomical relapse risk of lung adenocarcinomas.

Earthquakes have been theorised to produce gravity signals that may arrive before seismic waves, but until now they had not been detected. Montagneret al. have detected prompt gravity signals from the 2011 Tohoku-Oki earthquake thus allowing an early warning of earthquakes before seismic wave arrival.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

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.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

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.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

Eitan et al. discovered genetic variants in the 3′UTR for the gene encoding IL-18 receptor that protect against ALS. The variant 3′UTR destabilizes the mRNA and dampens microglia NF-κB signaling and neurotoxicity, thus emphasizing the value of noncoding genetic association studies.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Computational and machine-learning approaches that integrate genomic and transcriptomic variation from paired primary and metastatic non-small cell lung cancer samples from the TRACERx cohort reveal the role of transcriptional events in tumour evolution.

Strong electron–electron interactions in magic-angle twisted bilayer graphene can fundamentally change the topology of the system’s flat bands, producing a hierarchy of strongly correlated topological insulators in modest magnetic fields.

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.