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Skin-targeted siRNA therapies require optimized delivery to achieve therapeutic efficacy. Here, authors show that increasing conjugate hydrophobicity enhances siRNA skin retention and gene silencing in porcine and human models while limiting systemic tissue exposure.

When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single-path analyses and the need to address analytical uncertainty.

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

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.

Therapeutic modulation of Janus kinase family enzymes is an established approach for inflammatory and autoimmune skin diseases. Here the authors rationally design small interfering RNAs to enable single Janus kinase targeting and test this new therapeutic approach in a skin disease model for maintaining efficacy and improving selectivity.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Cosgun et al. show that, in B cell leukemia, β-catenin expression is maintained at low levels through glycogen synthase kinase 3B (GSK3β)-mediated phosphorylation. Inhibition of GSK3β results in β-catenin–Ikaros–NuRD complex formation, leading to B-ALL cell death through MYC repression.

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 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.

Genome-wide association meta-analysis identifies 58 independent risk loci for major anxiety disorders among individuals of European ancestry and implicates GABAergic signaling as a potential mechanism underlying genetic risk for these disorders.

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.

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.

Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

Cerebral organoids can be used to gain insights into neuropsychiatric disorders. Here the authors carry out RNAseq characterization from organoids derived from donors with autism spectrum disorder to identify associated cell type specific driver genes.

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.

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.

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).

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

The authors report on acoustic loudness factor (ALF), which can be used to benchmark small-molecule photoacoustic probes, analogous to fluorescence brightness. The ALF enables the direct comparison of probes used for photoacoustic imaging.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

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.

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.

This study integrates a nitrite-adsorbing ionophore into a copper/carbon nanotube electrified membrane, enabling ultrafast and highly selective ammonia production from low-concentration nitrate in real water sources. This cooperative adsorption approach tunes the local catalyst environment to achieve high activity, selectivity and stability without using precious metals or complex synthesis methods.

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.

Together with an accompanying paper presenting a transcriptomic atlas of the mouse lemur, interrogation of the atlas provides a rich body of data to support the use of the organism as a model for primate biology and health.

SARS-CoV-2 Omicron XEC variant, a recombinant of JN.1 progeny, shows increased viral fitness and pathogenicity. Here, the authors show that the nucleocapsid mutation R204P enhances inflammation and suggest a growing role of non-spike mutations in viral evolution.

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.

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.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

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.

DNA methylation and copy number variant analyses across a large number of genetic mouse models of pediatric brain tumors reveal subtype-specific molecular alterations shared with the corresponding human diseases.

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.

The spin–orbit interaction and the two-dimensional honeycomb structure of iridium-based oxides are promising for exotic electronic states. Here, the authors find an iridium oxide with a three-dimensional structure that preserves the features of the honeycomb systems, creating new material possibilities.

First-in-human combined intrathalamic and intrathecal gene therapy in two patients with Tay-Sachs disease provides early evidence on the safety and feasibility of the approach.

siRNA stability and efficacy are improved by a backbone modification.

Magnetically intercalated transition metal dichalcogenides provide a platform to study the interplay of magnetism, electronic band structures, and correlations. Here the authors demonstrate a nearly magnetization-free anomalous Hall effect, collinear antiferromagnetism and non-Fermi liquid behavior in V_1/3NbS₂.

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.

Staphylococcus epidermidis induces a potent, durable and specific antibody response that is conserved in humans and non-human primates, and which could be redirected against pathogens as a new form of topical vaccination.

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.

Here, the authors reveal using single-cell RNA sequencing that Parkinson’s disease (PD) patient-derived neuronal cells show altered primary cilia morphology and signaling suggesting cilia dysfunction may underlie PD pathogenesis.

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.

Internucleosomal linker length alters the stability and dynamics of chromatin condensates by shifting the balance between inter- and intramolecular interactions. Further, by changing the linker lengths, a remodeler can induce or suppress chromatin phase separation.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

Modeling analysis from the Global Dietary Database estimated that 70% of new global cases of type 2 diabetes are attributable to suboptimal intake of 11 dietary factors, with substantial differences in dietary risks across world regions and nations.

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.