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A semiconductor quantum dot can passively mediate interactions between two photons, enabling the creation of entangled photon states.

Whether multimorbidity accelerates brain Aβ deposition in humans remains largely unknown. Here, the authors demonstrate that higher self-reported multimorbidity burden predicts increased brain Aβ accumulation rates in the ADNI cohort.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

The number of ligand binding sites in the dopamine transporter is enigmatic due to conflicting data from structures and molecular pharmacology. Here, force spectra reveal the position and dynamics of a previously invisible transient site.

Large quantum computers are likely to require methods of connecting devices by transmitting and absorbing photons. Entanglement between two superconducting qubit devices has now been established using a waveguide with tunable directionality.

A hybrid analogue–digital quantum simulator is used to demonstrate beyond-classical performance in benchmarking experiments and to study thermalization phenomena in an XY quantum magnet, including the breakdown of Kibble–Zurek scaling predictions and signatures of the Kosterlitz–Thouless phase transition.

Deterministic sources of entangled photons are important for photonic quantum networks, but many applications are only possible when their wavelengths are tunable. Here, the authors use on-chip strain engineering to demonstrate such a source with silicon-integrated InAs/GaAs quantum dots.

Quantum communications require sources of entangled photons. Electrically triggered sources usually suffer from low entangled-emission efficiency. Here, the authors use piezoelectric strains to tune the fine structure of quantum dot emitters, and increase the entanglement probability and fidelity.

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.

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.

The Nobel Prize in Physiology or Medicine 2007 was won by Mario R. Capecchi, Martin J. Evans and Oliver Smithies for discoveries that led to the development of knockout mice.

Research on superconductivity in magic-angle twisted bilayer graphene reveals unconventional behaviour, an anisotropic gap and a significant role of quantum geometry, using combined d.c. transport and microwave measurements, suggesting new insights into superconductivity mechanisms.

Genome-wide data from 400 individuals indicate that the initial spread of the Beaker archaeological complex between Iberia and central Europe was propelled by cultural diffusion, but that its spread into Britain involved a large-scale migration that permanently replaced about ninety per cent of the ancestry in the previously resident population.

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.

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.

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.

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.

Fe-exchanged zeolite catalysts are known for their ability to remediate NO_x and N₂O emissions, but their reactivity in mixed streams of NO and N₂O remains unclear. Now a suite of operando spectroscopies reveals the active Fe species involved in the process and their synergistic effect during the simultaneous conversion of these pollutants.

Human-driven landscape change may alter disease transmission among insect pollinators. Here, the authors show that species traits, flower-rich habitat and floral resource overlap with honeybees explain load and prevalence of viruses in wild bees and hoverflies co-occurring with honeybees.

Scalable and integratable sources of entangled-photon pairs are an important building block for quantum photonic applications. Here, Huberet al. demonstrate that droplet-etched gallium arsenide quantum dots can emit highly indistinguishable photon pairs with a high degree of entanglement.

The molecular-level mechanism by which manganese enhances cobalt catalysts for Fischer−Tropsch synthesis (FTS) of long-chain hydrocarbons from syngas is not well understood. Here, the authors demonstrate that manganese promotes long-chain hydrocarbon production in Co-based FTS catalysts by binding H at basic O sites on MnO, reducing chain termination on Co and thus promoting C₅₊ products.

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.

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.

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.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

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.

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.

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.

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

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.