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Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

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.

Fusion genes involving KMT2A rearrangements are frequent oncogenic drivers of acute myeloid leukaemia (KMT2A-r AML) but the cell of origin remains unclear. Here, using preclinical models of EVI1 positive KMT2A-r AML the authors investigate the cell of origin and find that the presence of exogenous factors influences AML initiation and the resulting phenotype.

Genome-wide association analyses using data from 19 biobanks identify variants influencing risk of thyroid diseases and yield polygenic risk scores associated with features of aggressive thyroid cancer.

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.

Fast panoramic rotational ultrasound tomography and photoacoustic tomography are integrated for hybrid rotational ultrasound and photoacoustic tomography, for three-dimensional dual-contrast imaging of soft tissue and vasculature across the human body.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Metformin may serve as a non-toxic intervention to inhibit mitochondrial metabolism and slow DNMT3A-R882 clonal haematopoiesis expansion, thus delaying or averting progression to acute myeloid leukaemia.

High-dimensional immune profiling of a living recipient of a pig-to-human xenotransplant provides insight into the immune landscape of xenotransplantation and directions for improved immunosuppression strategies.

MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language models on real-world clinical tasks.

Zhou, Novak and colleagues identify that the Caenorhabditis elegans hypodermis, a peripheral liver-like metabolic tissue, regulates memory via insulin/IGF-1 and Notch signaling, and show that activating this pathway rescues CREB-dependent memory in aged worms.

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.

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.

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.

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.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

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.

CAR-T cell efficacy is often limited by the inability to maintain a memory T cell program. Here, the authors show that intrinsic CXCR4 expression enhances CAR-T cell persistence and memory differentiation in acute myeloid leukemia.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

The transcriptional regulation of the differentiation of innate lymphoid cells remains incompletely characterized. Kaye and colleagues show that the transcriptional regulator TOX is required for the differentiation of common lymphoid progenitors into the innate lymphoid cell lineage.

Here the authors unveil the essential role of MCL-1 for adult hair follicle regeneration and inhibition of proliferation stress-induced apoptosis in mice. They also identify a P53/MCL-1/BAK axis balancing proliferation and death of activated hair follicle stem cells to ensure proper hair growth.

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.

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.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

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.

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.

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.

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.

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.

Hematopoietic deficiency in the Notch target Hes1 results in severe defects in the T cell lineage. Bhandoola and colleagues show that Hes1 constrains myeloid gene-expression programs in T cell progenitors.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

An RNA-binding protein on leukemia cells provides an effective target in mouse models.

The European Commission has set a regulatory benchmark for classifying green hydrogen in the European Union. New research finds that by regulating the power purchase for electrolysers, emission savings from green hydrogen production is ensured, but cost is also affected.

An aromatic metallo-annulene, comprising a 15-carbon macrocycle enclosing an osmium complex, with the metal residing within the plane of the macrocycle is reported.

Resistance to menin inhibitors often occurs in the initially sensitive MLL-rearranged (MLLr) leukemias. Here authors discover that inhibition of guanine nucleotide biosynthesis leads to myeloid differentiation and sensitization to menin inhibitors in leukemia stem cells of MLLr leukemia.

Mirchandani and colleagues show that tissue hypoxia alters the number and phenotype of circulating monocytes and their differentiation into lung macrophages, with important implications for the resolution of inflammation in the lung.

The authors present DNA-Diffusion, a generative AI framework that designs synthetic regulatory elements with tunable cell-type specificity. Experimental validation demonstrates their ability to reactivate AXIN2 expression, a leukemia-protective gene, in its native genomic context.

A custom adenine base editor can edit the variant of the β-globin gene that causes sickle cell disease into a non-pathogenic variant in human and mouse cells, and transplantation of the edited cells rescues sickle cell disease in mice.

In this study, the authors present an fMRI‑based signature of corticospinal connections, which predicts individual pain sensitivity, generalizes to patient cohorts, and tracks changes after brain stimulation, suggesting a biomarker to guide personalized pain care.