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Liu et al. report DHHC20-mediated palmitoylation as a key mechanism for regulating KAT2A expression, which plays an essential role in breast cancer lung metastasis.

Prediction of tumour recurrence in anal squamous cell carcinoma can be challenging. Here, the authors use a tumour-informed ctDNA assay to show concordance with relapse in patients following failed definitive-intent chemoradiation.

Greenwald, Nederlof and colleagues developed a computational pipeline analyzing multiplex imaging data and established spatial patterns within breast cancer microenvironment that are predictive of immune checkpoint blockade response across treatment time course.

This study reports a post-assembly, reversible crosslinking strategy that enhances lipid nanoparticle (LNP)-mediated mRNA delivery while preserving efficient intracellular release. The resulting crosslinked LNPs enable improved endosomal escape, sustained in vivo expression and robust immune and antitumor responses across multiple clinically relevant LNP platforms.

Longitudinal metatranscriptomics in a prospective cohort of 1,164 adults hospitalized for COVID-19 reveals that azithromycin offered no apparent anti-inflammatory benefit but enriched the respiratory microbiome with potential pathogens and antimicrobial resistance genes.

Multiple complexes that contain various RAD51 paralogues involved in homologous recombination are revealed, highlighting the structural, functional and mechanistic importance of these complexes.

Using single-cell PacBio Kinnex long-read sequencing we profiled the transcriptome of the Alzheimer’s disease brain, identifying differentially expressed genes/isoforms, switched transcripts, and novel isoforms.

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

A meta-analysis of plant nuclear genomic data provides fundamental insights into the genomic nature of differences between plant species and informs future strategies for DNA-based identification of plants using nuclear genomes.

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.

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.

The underlying regulatory mechanisms of of human cortical diversity remains poorly understood. Here, authors profiled human brain cells to study how they use different gene programs across cortical regions, revealing molecular rules and specific transcription factors that drive functional specialization of neurons in the brain

Yakut communities, with Trans-Baikal admixture during the Mongol expansion, preserved genomic diversity and oral microbiomes despite the Russian conquest, which introduced cereals, pathogens and Christianity, whereas marital practices preserved low consanguinity except in one late case of traditional shamanism.

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.

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.

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.

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.

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.

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.

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.

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 APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

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.

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.

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.

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.

Therapies combining chemotherapy and immune checkpoint inhibitors have shown limited efficacy in patients with advanced pancreatic ductal adenocarcinoma (PDAC). Here the authors report the results of a pilot phase 1 trial of neoadjuvant modified Folfirinox plus nivolumab in borderline-resectable PDAC, including safety, efficacy and immunological correlates.

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.

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.

Benito-Martínez, Salavessa and colleagues show that keratin intermediate filaments and microtubules control the three-dimensional perinuclear position of melanin-containing organelles, shielding the DNA from photodamage.

How landscapes are arranged affects soil pathogenic fungi worldwide. The authors reveal the global pattern and pronounced scale-dependency of landscape complexity and land-cover quantity on soil pathogenic fungal diversity.

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.

Here the authors spatially map tuberculosis granulomas from nonhuman primates to link structure and immune organization with bacterial control. They find that a conserved hypoxic myeloid core is associated with dysfunctional immunity, restricted lymphocyte access and increased bacterial burden.

Quantum simulations of the phase diagram of quantum chromodynamics faces hard challenges, such as having to prepare mixed states and enforcing the non-Abelian gauge symmetry constraints. Here, the authors show how to solve the two above problems in a trapped-ion device using motional ancillae and charge-singlet measurements.

Serum urate concentration can be studied in large datasets to find genetic and epigenetic loci that may be related to cardiometabolic traits. Here the authors identify and replicate 100 urate-associated CpGs, which provide insights into urate GWAS loci and shared CpGs of urate and cardiometabolic traits.

Electrified reactive capture converts CO₂ from carbonate solutions but suffers from low Faradaic efficiency. Here, the authors report a templated synthesis with defined pores and Ni single atoms to accumulate CO₂, achieving 46% energy efficiency to syngas at 300 mA/cm²

Bohlen and colleagues report that the E3 ubiquitin ligase CBL is necessary for the development, tolerance and activation of B cells in humans, unlike in mice where CBL deficiency results in loss of T cells.

The microbial metabolite trimethylamine (TMA), the precursor of TMAO, which is associated with adverse cardiometabolic outcomes, is shown to have beneficial metabolic and anti-inflammatory effects in the host in the context of obesity.

Highly pathogenic avian influenza A H5N1 clade 2.3.4.4b virus has caused outbreaks in dairy cattle and cases in humans in the United States. Here, the authors assess levels of pre-existing cross-reactive antibodies to the epidemic virus strain in human serum samples collected in the United States.

A multi-ancestry genome-wide gene–smoking interaction study identifies 13 new loci associated with serum lipids.

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.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.