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IκBζ is a rather unknown transcriptional co-factor of NF-κB. Here, the authors show that constitutive IκBζ expression in a subgroup of patients with melanoma drives immunotherapy resistance and enhanced tumor growth.

Adipose tissue (AT) inflammation is strongly associated with obesity and constitutes an obesogenic memory upon weight loss. Here, the authors show that intermittent fasting leads to an adipocyte p53-signaling dependent emergence of lipid-associated macrophages in visceral AT of obese mice which limits the systemic fasting response.

Proteomics can be used to refine cancer classification. Here, the authors characterise chronic lymphocytic leukaemia patients by proteogenomics, and identified a subtype of patients with poor prognosis associated with aberrant B cell receptor signalling.

Patterning physiologically relevant proteins in three-dimensional hydrogels without affecting the activity and stability of the proteins has been difficult. Now, by using enzymatic crosslinking reactions, in situ control over the phototriggered immobilization of virtually any desired protein in a synthetic hydrogel is demonstrated. The approach can be used to manipulate cells, as demonstrated by the three-dimensional control of the invasion of mesenchymal stem cells within poly(ethylene glycol) hydrogels.

Plants have evolved pattern-recognition receptors to perceive pathogens. Here, the authors demonstrate that microbial small cysteine-rich proteins are eminent immune targets that led to convergent evolution of distinct immune receptors in plants.

Continuous-variable QKD protocols are usually easier to implement than discrete-variables ones, but their security analyses are less developed. Here, the authors propose and demonstrate in the lab a CVQKD protocol that can generate composable keys secure against collective attacks.

ACKR3 is a critical regulator of platelet-mediated thrombosis and organ injury following ischemia/reperfusion. Platelet ACKR3 surface expression is independently associated with all-cause mortality in patients with cardiovascular diseases.

Both rare and common variants contribute to the aetiology of complex traits such as type 2 diabetes (T2D). Here, the authors examine the effect of coding variation on glycaemic traits and T2D, and identify low-frequency variation in GLP1Rsignificantly associated with these traits.

This report from the 1000 Genomes Project describes the genomes of 1,092 individuals from 14 human populations, providing a resource for common and low-frequency variant analysis in individuals from diverse populations; hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites, can be found in each individual.

Roider et al. combine scRNA-seq and transcriptome-informed flow cytometry, and uncover transcriptionally different malignant subclones with distinct drug responses and T-cell profiles in B-cell non-Hodgkin lymphoma.

Results for the final phase of the 1000 Genomes Project are presented including whole-genome sequencing, targeted exome sequencing, and genotyping on high-density SNP arrays for 2,504 individuals across 26 populations, providing a global reference data set to support biomedical genetics.

Levels of circulating thyrotropin and free thyroxine reflect thyroid function, however, their genetic underpinnings remain poorly understood. Taylor et al. take advantage of whole-genome sequence data from cohorts within the UK10K project to identify novel variants associated with these traits.

1000 Genomes imputation can increase the power of genome-wide association studies to detect genetic variants associated with human traits and diseases. Here, the authors develop a method to integrate and analyse low-coverage sequence data and SNP array data, and show that it improves imputation performance.

Imputation uses genotype information from SNP arrays to infer the genotypes of missing markers. Here, the authors show that an imputation reference panel derived from whole-genome sequencing of 3,781 samples from the UK10K project improves the imputation accuracy and coverage of low frequency variants compared to existing methods.

Population-based genome sequencing provides an increasingly rich resource for the identification of low-frequency, large effect variants associated with clinically important phenotypes. Timpson et al. use UK10K data to identify a variant of the APOC3gene strongly associated with plasma triglyceride levels.

Size and shape of the brain are, among others, influenced by the dimensions of the skull. Here, the authors report genome-wide association studies for head circumference and intracranial volume in children and adults and the identification of nine common or low-frequency variants associated with these traits.

David Hassel et al. show that mutations affecting the protein nexilin underlie an unusual type of dilated cardiomyopathy characterized by disrupted Z-disk structures in cardiac muscle. Functional studies in zebrafish revealed that nexilin has an essential role in maintaining Z-disk stability and suggested that the disease-causing nexilin mutations found in humans encode proteins that act in a dominant-negative fashion.

Low read depth sequencing of whole genomes and high read depth exomes of nearly 10,000 extensively phenotyped individuals are combined to help characterize novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with lipid-related traits; in addition to describing population structure and providing functional annotation of rare and low-frequency variants the authors use the data to estimate the benefits of sequencing for association studies.

Fluoride ion batteries receive substantial interest, but are limited by their cyclic performance. Here, an La₂NiO_4.13 cathode in an all-solid-state fluoride ion battery achieves up to 220 cycles for a 30 mAh/g cut-off capacity.