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Natural Killer cells are key mediators of anti-tumour immunosurveillance and anti-viral immunity. Here, the authors map regulatory genetic variation in primary Natural Killer cells, providing new insights into their role in human health and disease.

A modular anti-albumin nanobody conjugated to a STING agonist enhances antitumour immunity by improving pharmacokinetics, tumour accumulation and immune responses, inhibiting murine tumour growth and enhancing cancer immunotherapies.

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.

Weak perturbations couple solitons—nonlinear pulses—to low-amplitude linear waves. Longstanding mathematical results indicate that this phenomenon is universal. The authors verify these predictions experimentally by demonstrating that the coupling amplitude satisfies a general scaling law.

Filamin C is a key actin-binding protein involved in cardiomyopathies and musculoskeletal disorders. Here, Wang et al reveal that it interacts with the heat shock protein HSPB7 under biomechanical stress, forming a stable hetero-dimer which is regulated by phosphorylation.

Observations from a borehole in the Kamb Ice Stream suggest that discrete subglacial discharge events dominate channel melt and sediment transport.

Mathematical tools can be used to help identify pathological features from images of diseased lungs. Here, the authors used mathematical tools combined with high resolution multiplex imaging mass cytometry to show an association between immature neutrophils, CD8 T cells and proliferating alveolar epithelial cells in areas of maximal alveolar damage in COVID-19 lungs.

This work describes an informatic framework to identify multi-allelic markers in the genome of the malaria-causing Plasmodium vivax parasite that can inform on familial relatedness between infections. Spatial and temporal transmission patterns are demonstrated with an example marker set.

GIANT, a genetically informed brain atlas, integrates genetic heritability with neuroanatomy. It shows strong neuroanatomical validity and surpasses traditional atlases in discovery power for brain imaging genomics.

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).

An increase in wildfire extent and related greenhouse gas emissions can be linked to abrupt climatic changes during the last glacial period.

How soluble misfolded proteins can bypass chaperones is unknown. Utilizing a meta-analysis, multi-scale modelling, and new experimental data it is found that this phenomena is common and arises from misfolded states that are native-like and long-lived due to protein self-entanglements.

Understanding principles that govern protein association with extracellular vesicles should expand their potential as a therapeutic modality. Here, the authors show that by localizing proteins to the plasma membrane and lipid rafts, a variety of proteins can be preferentially loaded into extracellular vesicles.

Estimates from the Global Dietary Database indicated that 2.2 million new type 2 diabetes and 1.2 million new cardiovascular disease cases were attributable to sugar-sweetened beverages worldwide in 2020, with the highest burdens in sub-Saharan Africa, Latin America and the Caribbean.

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.

There are large uncertainties in wind-wave climate projections that need to be resolved to allow adaptation planning. A multi-method ensemble of global wave climate projections shows robust changes in wave height, period and direction that put 50% of the global coast at risk.

Using genetically engineered models, Genovese and colleagues study patterns of convergent evolution in renal cancer, and pinpoint dysregulation of interferon signaling as a means of adaptation to chromosomal instability in metastatic progression.

Generating antibodies specific for the peptide–MHCII complexes has been challenging, with only a handful made to date. Here, the authors develop a more efficient approach to generate these antibodies, and demonstrate their potential in research and therapeutic applications.

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.

Molecular phylogenetics, ancestral sequence reconstruction and biophysical protein characterization are used to investigate the interaction between the orange carotenoid protein and its unrelated regulator, the fluorescence recovery protein (FRP). This interaction evolved when a precursor of FRP was horizontally acquired by cyanobacteria.

Angelman syndrome is a neurodevelopmental disorder caused by the deletion of a single gene. Here, researchers discovered a small molecule that could be delivered peripherally to activate a dormant copy of the gene throughout the brain, providing a potential treatment opportunity.

Vaccines that interrupt malaria transmission will be important tools for malaria elimination. Here the authors identify a human monoclonal antibody from Pfs230 vaccinated individuals that blocks transmission of Plasmodium falciparum to mosquitoes in a complement-dependent manner and reacts with gamete surface.

We present the complete 62,460,029-base-pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the reference.

A method that allows for the detection of mosaic chromosomal alterations from blood whole-genome sequencing data highlights ancestry-specific differences in the distribution of common and rare germline susceptibility variants.

Photoinduced changes in transmission, reflection and scattering prevent conventional pump-probe spectroscopy to unambiguously assign the origin of spectral signatures. Ashoka et al. have developed an optical modelling technique to extract quantitative and unambiguous changes in the dielectric function from standard pump-probe measurements.

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.

Justin Rubio and colleagues report results of a genome-wide association study of multiple sclerosis using cases from Australia and New Zealand. Their findings confirm several published risk loci for MS and identify two new risk loci on chromosomes 12 and 20.

Seven well defined shortfalls in global biodiversity data must be overcome to meet critical global biodiversity targets. Pollock et al. discuss the current and future roles of AI in bridging these knowledge gaps.

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.

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.

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.