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Rice paddies contribute to atmospheric methane (CH₄) levels. Here the authors show that increasing levels of the rice plant hormone PSY can reduce CH₄ emissions by over 50% via alteration of microbial H₂ cycling in the rhizosphere.

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.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

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

Human impacts on marine ecosystems are increasing the likelihood of pathogenic outbreaks, harmful algal blooms and coral stress. Here the authors develop a CRISPR biomonitoring tool that can help detect key marine species that are important to public health, the aquaculture sector and marine ecosystems.

Integrating complex multi-omics data for individual patient decision making can be challenging. Here, the authors develop Knowledge Connector as a decision support system to generate and document Molecular Tumor Board recommendations and support medical decision-making.

Large-scale computational and in vitro analyses identify commensal type III secretion systems and substrates in the human gut microbiome that can interact with human proteins to modulate immune pathways.

Chan and colleagues report that tumor ecosystem and microbiome features are associated with response to anti-PD-L1 avelumab plus chemoradiotherapy in patients with locally advanced head and neck cancer.

Understanding the mechanisms underlying the survival of drug tolerant persister cells following chemotherapy remains elusive. Here, multi-omics analysis and experimental approaches show that the germ-cell-specific H3K4 methyltransferase PRDM9 promotes metabolic rewiring in glioblastoma stem cells.

The dorsomedial prefrontal cortex encodes the value, salience and valence of learned stimuli along distinct neural dimensions, and the geometry of these representations shapes motivated behaviours in mice.

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.

In a phase 2 trial evaluating healthy donor fecal microbial transplantation plus either anti-PD-1 in patients with non-small cell lung cancer or anti-PD-1 and anti-CTLA-4 in patients with melanoma, encouraging efficacy was seen in both cohorts, with responses linked to significantly greater loss of baseline bacterial species.

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.

Bioactivity-guided isolation of specialized metabolites is an iterative process. Here, the authors demonstrate a native metabolomics approach that allows for fast screening of complex metabolite extracts against a protein of interest and simultaneous structure annotation.

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.

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.

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

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.

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.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

iGluSnFR4f and iGluSnFR4s are the latest generation of genetically encoded glutamate sensors. They are advantageous for detecting rapid dynamics and large population activity, respectively, as demonstrated in a variety of applications in the mouse brain.

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.

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.

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.

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).

Trends in global H₂ sources and sinks are analysed from 1990 to 2020, and a comprehensive budget for the decade 2010–2020 is presented.

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.

Graph neural networks built on physically motivated representations enable gradient-based optimization of complex upconverting nanoparticle heterostructures, revealing photophysical design rules and a roadmap for deep learning in nanoscience.

Here, in an open-label pilot trial, the authors show that multi-donor fecal microbiota transfer in young women with anorexia nervosa was well tolerated and led to lasting changes in gut bacteria, supporting further research on microbiome-based treatments.

A large brain imaging study of over 2000 people worldwide shows that fear conditioning engages brain regions linked to emotion and attention, with differences in individuals with anxiety or depression and strong influences from task design.

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.

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.

Geospatial estimates of the prevalence of anemia in women of reproductive age across 82 low-income and middle-income countries reveals considerable heterogeneity and inequality at national and subnational levels, with few countries on track to meet the WHO Global Nutrition Targets by 2030.

Single-molecule chromatin fiber sequencing exposes single-cell-level heterogeneity in the chromatin architecture of individual regulatory elements.

DNA origami enables precise nanoscale self-assembly. Authors here show how programmable control of interactions and binding angles yields curved surfaces of diverse geometries, broadening the design space for synthetic nanostructures.

The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.

Metabolomics, metagenomics, proteins and genetics were combined with clinical data to define a metabolic signature of obesity.

Here, the authors find that relative abundances of stress-sensitive gastrointestinal microbes at age 2 years predicts internalizing symptoms in middle childhood through altered emotion-related brain network connectivity.

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.

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.

Parallel operation of two exchange-only qubits consisting of six quantum dots arranged linearly is shown to be achievable and maintains qubit control quality compared with sequential operation, with potential for use in scaled quantum computing.

In the nematode C. elegans, cohesin creates specifically at active enhancers chromatin 3D structures named fountains. Cohesin artificial cleavage disrupts fountains and changes neuronal gene expression, function and animal behavior.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

The authors identify pathogenic variants in the SMARCA1 gene as the cause of a variable neurodevelopmental disorder. Mouse studies suggest diverse genetic mechanisms related to NURF complex composition mediate the phenotype.

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 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.

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.

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.