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Mucosal immunity is an important component of the anti-SARS-CoV-2 response and may contribute to the relatively better protection provided by infection compared to vaccination of children against serious disease. Here, the authors analyse the antigen-specific B cell response in the tonsils, adenoids, and blood of children following infection with SARS-CoV-2 or vaccination with SARS-CoV-2 mRNA vaccines to find evidence that tissue-specific B cell memory is formed with both, albeit with characteristic differences between the two groups.

This study reports a paralog-selective p300 degrader with potent anti-cancer activity in hematological malignancies, demonstrating a strategy to selectively target transcriptional coactivators through protein degradation.

Extracellular vesicles from lung epithelial cells deliver ACE2 and TMPRSS2 to recipient cells, enabling SARS-CoV-2 infection beyond receptor-expressing cells and expanding viral tropism.

EGFR amplification is common in glioblastoma and represents a therapeutic challenge, conferring resistance to targeted treatment. A new study reveals that the same locus hides the HELDR lncRNA, which epigenetically activates KAT7 to drive growth independently of EGFR. Targeting HELDR or KAT7 may improve anti-EGFR therapies in glioblastoma.

Beta-adrenergic signalling modulates histone variant H2A.Z deposition, chromatin accessibility and chromatin loop reorganization to regulate thermogenesis in mouse and human adipocytes.

In this individual participant data meta-analysis, and across 321,345 smartphone-ratings of affective well-being and nearly 1 million hours of physical activity measurement, Rehder et al. clarify the nature and extent of activity–well-being relations and document their relevance in humans’ everyday life.

Here, a combination of forward genetics and genome-wide association analyses has been used to show that variation at a single genetic locus in Arabidopsis thaliana underlies phenotypic variation in vegetative growth as well as resistance to infection. The strong enhancement of resistance mediated by one of the alleles at this locus explains the allele's persistence in natural populations throughout the world, even though it drastically reduces the production of new leaves.

Metal–ligand covalency is not fully understood for the actinides and studies comparing group IV transition metals with isostructural actinide complexes are limited. Here, the authors report [(C₅Me₅)₂(2,6-iPr₂C₆H₃O)M(H)] (M = Hf, Th, and U) complexes and compare them to a Zr analogue, exploring the differences between transition metal and actinide bonding situations.

Using human iPSC-derived motor and cortical neurons as well as Drosophila models, the authors have identified a dysregulated Ku80–p53–SIRT1 axis downstream of DNA damage repair as a common pathogenic mechanism in both sporadic ALS and familial FTD.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Drosophila Microproteins Simba1/2 act in neural stem cells and blood-brain-barrier glia to promote reactivation of neural stem cells via activating WNT/Wingless signaling, while human ortholog ZNF706 is found to have a conserved role in activating WNT pathway.

Synthetic routes to aminoglycosides are often long and rely upon the coupling of semisynthetically produced fragments. Now, an enantioselective, copper-catalysed hydroamination of benzene has been developed to enable access to the aminoglycoside antibiotic ribostamycin. This bottom-up strategy provides modular and expedient entry into the aminocyclitol class.

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.

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.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

An initial draft of the human pangenome is presented and made publicly available by the Human Pangenome Reference Consortium; the draft contains 94 de novo haplotype assemblies from 47 ancestrally diverse individuals.

Genomic deletions in poxviruses are not well understood, the authors found large deletions in >2% of Mpox virus genomes during routine surveillance, highlighting their role in poxvirus evolution and potential impact on diagnostics and therapeutics.

Expressing the Pseudomonas ethylene-forming enzyme (Efe) in Synechocystis 6803 causes it to produce ethylene. Tracer experiments and metabolic modelling show that this is achieved by plasticity of fluxes through the tricarboxylic acid cycle.

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.

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

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.

In this attempt at xenotransplantation of a lung from a genetically modified pig into a brain-dead recipient, although the grafted lung initially maintained viability and functionality, antibody-mediated rejection rapidly occurred, contributing to xenograft damage.

Real-time PRS-CS (rtPRS-CS) is a polygenic prediction method that can incorporate streaming data for updating single-nucleotide polymorphism weights in real time, thereby maximizing the prediction accuracy of polygenic risk scores over time across various traits.

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.

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.

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 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.

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.

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.

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.

Resistance to first line treatment is a major hurdle in cancer treatment, that can be overcome with drug combinations. Here, the authors provide a large drug combination screen across cancer cell lines to benchmark crowdsourced methods and to computationally predict drug synergies.

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.

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.

In this work, authors convert fallen leaves into energy harvesters using hygroscopic iron hydrogel, achieving continuous power generation from moisture. The device delivers high current density and power output with potential for lower environmental impact compared to alternative harvesters.

Myocardial infarction disrupts cardiac repair mechanisms, limiting regeneration. Here, the authors show that extracellular matrix therapies activate spatial and cell-specific pro reparative programs, revealed through spatial transcriptomics and snRNA-seq.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.