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Chemoproteomics coupled with patient-derived and organoid models identify and validate brain-enriched CK2α2 as an inflammatory driver in Alzheimer's disease. Blocking CK2 (including with brain-penetrant TAL606) lowers inflammatory signals in AD mice.

Many hospitalised children with acute illness in low- and middle-income countries experience incomplete recovery, readmission, and post-discharge mortality despite guideline-directed care. Here the authors report multiomic profiling to investigate biological drivers of hospital in-patient and post-discharge mortality in 3,101 acutely ill children across nine sites in sub-Saharan Africa and South Asia.

Effective target engagement of drugs relies on them achieving sufficient intracellular concentrations. Here, using a multimodal imaging pipeline the authors demonstrate that uneven distribution and uptake of PARP inhibitors in ovarian cancer patient-derived explant models correlates with therapeutic response.

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.

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.

Biallelic variants in RNU4-2 cause a recessive neurodevelopmental disorder that is phenotypically and molecularly distinct from dominant ReNU syndrome and associated with reduced RNU4-2 transcript levels, consistent with a loss-of-function mechanism.

Researchers reveal that TNF alpha unmasks a metabolic impairment in the enteric malate-aspartate shuttle. This dysfunction acts as a key pathological bridge linking intestinal inflammation to the neurodegeneration seen in Parkinson’s disease.

It remains unclear why some BRCA-deficient high-grade serous carcinomas (HGSC) do not respond to platinum-based therapy. Here, multi-omic analysis of BRCA1- and BRCA2-deficient HGSC attributes co-occurring mutations, DNA repair deficiency and tumor microenvironment features to short survival in these patients.

Decreased brain volumes and increased NfL levels can be observed earlier than disease diagnosis in short-tandem-repeat-associated neurological diseases.

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.

Genetic analyses in more than 15,000 individuals from across the Americas, including individuals with autism and family members, define the genetic landscape of autism in Latin American populations and identify significant overlap with other ancestries.

Transition metal oxides are interesting for advancing technology as they can combine ease of synthesis, resilience to defects, and high environmental stability, yet few exhibit semiconducting properties, limiting their engineering potential. Here, the authors transform insulating oxides into semiconductors with ultra-low thermal conductivity by introducing configurational entropy, offering a generalizable approach to designing advanced thermoelectric materials with tailored electronic and thermal properties.

An improved strategy for siting food and energy production is needed to avoid further habitat loss. This paper presents a multi-sector framework that can empower land use planners to find synergies across conservation and development sectors.

The CCTG PA.7 randomized phase II trial compared chemotherapy with and without dual immune checkpoint inhibition in patients with metastatic pancreatic ductal adenocarcinoma. Here, the authors report long-term survival and exploratory analysis of the CCTG PA.7 trial, identifying a pattern of mutations linked to improved immunotherapy response.

The combination of JWST and ALMA data here unravel the history of the gas content of a quiescent galaxy, which became quenched through an act of self-sabotage. Black-hole accretion feedback heated the galaxy’s surrounding material, preventing its accretion.

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.

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.

In this Expert Recommendation, Bowtell and colleagues outline progress made over the last decade in the research and treatment of high-grade serous carcinoma as well as current challenges and research priorities for the coming years to reduce incidence and improve patient outcomes.

Tracking oceanic microbial populations in situ over time is challenging. Here, the authors use autonomous underwater vehicles to show how microbes at the deep chlorophyll maximum respond to diel cycles and isopycnal uplift by a cyclonic eddy.

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.

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).

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.

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.

Many premalignant colorectal polyps in familial adenomatous polyposis arise polyclonally rather than from a single mutated cell, showing diverse early evolutionary trajectories that frequently occur without clonal APC or KRAS driver events.

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.

A study of antigen-presenting cells called Thetis cells sheds light on their development and transcriptional regulation in mice, which has implications for the tolerance of gut microbiota and food antigens.

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.

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.

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.

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.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

Childhood mortality is a global health problem. Plasma lipopolysaccharide levels, inflammatory stool biomarkers and proteomics were used in a nested case-cohort in sub-Saharan Africa and South Asia to predict mortality and decode immune mechanisms.

This study reports that de novo germline missense variants in SF3B1, distinct from the somatic variants frequently observed in cancer, cause a neurodevelopmental disorder and disrupt global RNA splicing.

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.

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.

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.

Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

It is not well understood why in resource-poor settings some children fail to gain weight and stunting increases following hospital discharge. Here, the authors show inflammation driven by illness, enteropathy and social factors redirects recovery away from linear growth and limits weight gain.