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The complexity of spatial omics data presents analytical challenges and demands substantial computing resources. Here, the authors introduce Sopa, a technology-invariant, memory-efficient pipeline with a unified visualizer for all image-based spatial omics.

SEAMLESSM4T is a single machine translation tool that supports speech-to-speech translation, speech-to-text translation, text-to-speech translation, text-to-text translation and automatic speech recognition between up to 100 languages.

Erik Ingelsson and colleagues report a large-scale genome-wide meta-analysis for associations to the extremes of anthropometric traits, including body mass index, height, waist-to-hip ratio and clinical obesity. They identify four loci newly associated with height and seven loci newly associated with clinical obesity and find overlap in the genetic structure and distribution of variants identified for these extremes of the trait distributions and for the general population.

Siew et al. using multi-omic, physiological & imaging approaches have demonstrated that spaceflight causes kidney remodelling, suggesting a contribution to kidney stone formation, & that space radiation causes kidney damage & early signs of dysfunction.

Single-cell transcriptomics and protein expression analyses of salivary glands and gingiva, along with the detection of infectious virus and virus-specific antibodies in saliva from SARS-CoV-2-infected individuals, support a potential role for the oral cavity in COVID-19 pathogenesis.

Murphy, Kevin, Pollin et al. perform a systematic review of the evidence on the criteria used to select individuals with diabetes for genetic testing and of the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. Based on the findings the authors make recommendations and highlight challenges for the field.

Missense variants in RNA-binding proteins underlie many diseases. Here the authors report an oculopharyngeal muscular dystrophy caused by heterozygous frameshift mutations in HNRNPA2B1 that alter its nucleocytoplasmic transport dynamics and result in cytoplasmic accumulation of hnRNPA2 protein.

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.

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.

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.

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.

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.

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.

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.

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.

An autoimmune-prone state of steady-state cytokinopathy, hyperactivated CD4 T cells and ongoing B cell activation contributes to a breach in immune tolerance in individuals with Down’s syndrome.

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.

Immune lymphocyte estimation from nucleotide sequencing (ImmuneLENS) infers B cell and T cell fractions from whole-genome sequencing data. Applied to the 100,000 Genomes Project datasets, circulating T cell fraction provides sex-dependent and prognostic insights in patients.

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.

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.

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.

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.

Patient-derived xenografts are important tools for cancer drug development. Here, the authors develop models from 22 non-small cell lung cancer patients. They show genomic differences between models created from different spatial regions of tumours and a bottleneck on model establishment.

Combining a large-scale dataset of 23 ungulate species (in which newborns follow contrasting tactics of predator avoidance) with continuous-time stochastic movement models, the authors reveal that there are multiple dimensions of maternal movement behaviour and space use.

Many cities in the US self-report greenhouse gas emissions. Here, the authors find that US cities under-report their own greenhouse gas emissions, on average, by 18.3% because city inventories omit some fuels and source types and estimate transportation emissions differently.

Electron-chirality interactions affect charge and spin transport in chiral conductors. Here, the authors show that helicene-based single-molecule junctions behave as a magnetic-diode and spin-valve device, enabling the identification of an atomic-scale coexistence of different electron-chirality interactions.

In patient with glioblastoma, a major cause of resistance to chemotherapy and radiotherapy is the high degree to intratumoral heterogeneity and cell plasticity. Here, the authors demonstrate that chemoradiation induces the reprograming of glioblastoma cells into an invasive and vessel co-opting state, termed VC-Resist, capable of promoting resistance to therapy.

Swanton and colleagues present a clonal expression signature, ORACLE, which, in combination with clinicopathological and molecular risk factors, can predict survival of patients with lung adenocarcinoma, and they prospectively validate its prognostic value.

Circadian clocks both instruct and follow the epigenome. New data reveal that the core-clock PERIOD complex shapes genomic H2A.Z landscapes. H2A.Z, in turn, plays an essential role in rhythm generation by regulating BMAL1 stability.

This Registered Report presents evidence from 87 countries and regions showing that brief emotion-regulation interventions consistently reduced negative emotions and increased positive emotions during the COVID-19 pandemic.

Here, the authors compared measurements between 34 laboratories from 19 countries, to quantify by mass spectrometry four ceramides of clinical relevance in human blood plasma Standard Reference Materials. The main goals were to evaluate concordance obtained in a large inter-laboratory trial and to report absolute concentrations of four circulating lipids in a publicly available standard.

Mixed responses to targeted therapy within a patient are a clinical challenge. Here the authors show that TP53 loss-of-function cooperates with whole genome doubling which increases chromosomal instability. This leads to greater cellular diversity and multiple routes of resistance, which in turn promotes mixed responses to treatment.

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.

Development of a structure-based method to predict potential ARDs present in human metagenomes indicates that resistance genes are rarely transferred within the human gut, and that individuals can be clustered into resistotypes.

CRISPR–Cas9 knockout screens in chemotherapy-treated acute myeloid leukemia cells help map the drug-dependent genetic basis of fitness trade-offs (antagonistic pleiotropy) for the design of evolutionary traps that target drug resistance in cancer.

A central goal of spintronics is electric control of magnetism. One particularly promising method makes use of spin-orbit torques which arise due to the combination of electric current, and the intrinsic spin-orbit effect in a material. Here, Grezes et al demonstrate non-volatile electrical control of the spin-orbit torque generated at the interface between an oxide and a metal.

Here Ramanan and colleagues provide an analysis of mammary T cells during late pregnancy and lactation. This revealed an increase in intraepithelial lymphocytes in the lactating mammary gland, which was driven by thymic and intestinal inputs and was sensitive to changes in the microbiota

Polygenic risk scores for Alzheimer’s disease derived from individuals of European ancestry can show improved performance in multiancestry settings after incorporating genome-wide association summary statistics from diverse populations.

Using 32 ecological networks (host–parasite, plant–pollinator, plant–herbivore and other food webs), the authors show that several network properties scale with the size of the sampling area, suggesting a new type of biodiversity–area relationship.

Known genetic loci account for only a fraction of the genetic contribution to Alzheimer’s disease. Here, the authors have performed a large genome-wide meta-analysis comprising 409,435 individuals to discover 6 new loci and demonstrate the efficacy of an Alzheimer’s disease polygenic risk score.

The authors report the synthesis of an enantiomeric block co-beta-peptide that kills methicillin-resistant Staphylococcus aureus, including biofilm and persister bacterial cells, and disperses biofilms. The copolymer displays antibacterial activity in human ex vivo and mouse in vivo infection models without toxicity.

Phenothiazines inhibit Type IV pili function in Neisseria meningitidis and protect against bacterial colonization of blood vessels and lethality during infection.