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Here, the authors combine bioinformatic, mass spectrometric, and sequencing-based mapping tools to identify previously undescribed phosphorothioate epigenetic systems widespread in the human gut microbiome.

The ZFTA–RELA fusion, an oncogene for ependymomas, promotes the production of itaconate, and its dependence on this metabolite represents a new therapeutic target for this cancer.

A pangenome of oat, assembled from 33 wild and domesticated oat lines, sheds light on the evolution and genetic diversity of this cereal crop and will aid genomics-assisted breeding to improve productivity and sustainability.

Several recent publications have attempted to detect novel unannotated microproteins using mass spectrometry proteomics. Here, the authors reassess these claimed microprotein detections, finding that many are poorly supported, while a subset represents likely genuine discoveries of novel proteins.

Releasing only males remains a major hurdle for mosquito genetic control. Here, authors develop a mosquito strain using CRISPR and a synthetic sex chromosome, producing dark males and yellow females that develop slower and lay desiccation-sensitive eggs, enabling easy separation and safe releases.

There is a need for an easy-to-use clinical tool, that could predict favorable early PSA response and subsequently enhance early risk stratification, as well as guide treatment planning. Here, the authors show that based on patient data from four phase III randomized trials, Nadir androgen receptor pathway inhibitor (APRI)- Derived Integrative Response (NADIR) model predicts favorable early PSA response to ≤0.2 ng/mL by 6 months in metastatic hormone sensitive prostate cancer (mHSPC) patients initiating treatment with an APRI.

Laser-induced conversion electron Mössbauer spectroscopy, which detects electrons emitted by ²²⁹Th nuclei in a thin ThO₂ sample excited by vacuum ultraviolet light, is demonstrated, opening the possibility of a conversion-electron-based nuclear clock.

Oat is an important food crop, but the genetic diversity within the gene pool remains unclear. Here, the authors report the analyses of worldwide diversity and population structure of hexaploid oat, and identify signatures of structural rearrangements within the germplasm collection.

Environmental metagenomic explorations show that Mirusviricota lineages lack essential replication and transcription genes and contain spliceosomal introns, suggesting nuclear reproduction.

An explainable deep learning model using a chemical substructure-based approach for the exploration of chemical compound libraries identified structural classes of compounds with antibiotic activity and low toxicity.

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.

Developing heat-resistant dielectric polymers for electrification is challenging due to the inverse relationship between thermal stability and electrical insulation. Using a machine learning-driven approach, the researchers identify and validate high-performance polymers that demonstrate promising thermal resilience and energy density for high-temperature applications.

Enterololin is a narrow-spectrum antibiotic that selectively kills Enterobacteriaceae in vitro and in a mouse model of adherent-invasive Escherichia coli gut infection. AI-guided mechanism-of-action studies identified LolCDE as its molecular target.

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.

A global research network monitoring the Amazon for 30 years reports in this study that tree size increased by 3% each decade.

A re-assessment of the global carbon budget shows the natural land sink is substantially smaller than previously estimated, indicating emerging impacts of climate change on the evolution of the carbon sinks.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

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.

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.

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.

FUGAsseM predicts protein function in microbiomes using coexpression patterns from metatranscriptomes and diverse community-wide data.

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.

This global study shows that short-term exposure to landscape fire sourced PM_2.5 increases hospital admissions for multiple diseases in children, especially those aged 5-9 years and in low-SES areas, highlighting the need for targeted protection.

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.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Alkaline-earth phenoxides show promise as optical cycling centres; however, their properties when connected to larger structures is unclear. Now it has been shown that their optical cycling remains efficient despite increasing molecular complexity, enabling the scaling of laser-coolable molecules toward larger structures and surface-bound quantum systems.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Terrestrial ecosystem productivity is widely accepted to be nutrient limited. A series of standardized nutrient addition experiments, carried out on grasslands on five continents, suggests aboveground grassland productivity is commonly limited by multiple nutrients, including potassium and micronutrients.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

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.

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.

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.

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.

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.

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.

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.

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.

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.