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The interplay between neuronal activity and tumor progression is well-established. Here, the authors demonstrate that blockade of β-adrenergic signaling via administration of propranolol suppresses lung metastasis in multiple mouse tumor models by enhancing the accumulation of cytotoxic CD4 T cells while reducing CCR2+ monocytes, highlighting the re-purposing of β-blockers as a valid therapeutic approach for cancer treatment.

Continuous variable quantum key distribution allows secure communication that is more robust against channel losses than discrete approaches, yet is strongly affected by noise. Madsenet al.devise a continuous scheme for modulated entangled states that is more tolerant to noise and loss than other protocols.

Roer et al. analyze genomes of Escherichia coli clonal complex 38 from humans, animals, and food to investigate its spread and host associations. They find distinct human and poultry lineages and identify plasmid markers linked to animal adaptation and zoonotic transmission.

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.

Mixing metal-organic frameworks (MOFs) with halide salts enable low-temperature melting and processable MOF-derived glasses with tunable properties and enhanced structural versatility.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

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.

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.

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.

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.

Fjell et al. analysed multiple large-scale longitudinal MRI datasets and found no evidence for an association of sleep duration and brain atrophy, suggesting that normal brains promote adequate sleep.

A structured-light-based detection of a particle trapped in optical tweezers enables ultrafast velocity and viscosity determination.

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.

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.

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.

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.

Obesity and type 2 diabetes (T2D) are metabolic disorders characterized by insulin resistance in skeletal muscle. Here, the authors map skeletal muscle enhancer elements dynamically regulated after exposure to free fatty acid palmitate or inflammatory cytokine TNFα and identify target genes involved in metabolic dysfunction in skeletal muscle.

Gaussian boson sampling is performed on 216 squeezed modes entangled with three-dimensional connectivity⁵, using Borealis, registering events with up to 219 photons and a mean photon number of 125.

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

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.

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.

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.

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.

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.

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.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

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.

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.

The SARS-CoV-2 Omicron variant is associated with high rates of vaccine breakthrough infections, but the immunological basis for this is not well characterised. Here, the authors show that increased anti-Spike IgG antibody levels are associated with a reduced risk of infection with the Delta variant, but not with Omicron.

A benchmarking competition improves tools that predict how regulatory regions control gene expression.

Recently, the first orally-administered ultra-long acting insulin was shown to have clinical efficacy. Here, the authors report the molecular engineering, as well as the biological and pharmacological properties of these insulin analogues.

An experimental study shows how a polar molecule can be oriented in three dimensions by using a combination of laser and electrostatic fields. The approach should help to obtain molecular-frame information about strong-field ionization processes in molecules for which the orientation cannot be determined after ionization.

A quantum particle can tunnel through an energy barrier that it would otherwise be unable to surmount. This phenomenon has an important role in atomic processes such as ionization. Researchers now use an attosecond ‘clock’ to take a precise look at the dynamics of this process and identify the trajectory taken by the escaping electron.

This study presents the assembly and analysis of the genome sequence of a female domestic Duroc pig and a comparison with the genomes of wild and domestic pigs from Europe and Asia; the results shed light on the evolutionary relationship between European and Asian wild boars.

In a short-term study in which hearts from gene-edited pigs were transplanted into two recently deceased human recipients, the hearts were able to function for the duration of the study without signs of rejection and without evidence of pig virus transmission, encouraging further clinical study of cardiac xenotransplantation.

A quantum microscope obtains signal-to-noise beyond the photodamage limits of conventional microscopy, revealing biological structures within cells that would not otherwise be resolved.

The pilot phase of PigGTEx, re-analyzing 5,457 published RNA-seq samples, presents a pan-tissue catalog of molecular quantitative trait loci. Cross-species comparisons identify traits with shared genetic regulation in humans.

Imputation in mass spectrometry-based proteomics is a recurrent step of importance for downstream analysis. Here, the authors offer an extensive comparison workflow of 27 established with three new scalable, fast and performant methods from deep learning for large and high-dimensional data.