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Black-hole masses are estimated from broad emission-line widths and luminosity. Here, the authors show that over decades the luminosity varies while line widths remain constant biasing mass estimates, but using narrow-line luminosity corrects this.

While therapies targeting type I BRAF mutations have been developed, there are limited options for those with type II and III mutations. Here, the authors identify a subset of BRAF-mutant non-small cell lung cancer patients and characterise the pan-RAF inhibitor exarafenib, demonstrating efficacy in preclinical models and investigating subsequent resistance mechanisms.

Genome-wide association analyses using data from 19 biobanks identify variants influencing risk of thyroid diseases and yield polygenic risk scores associated with features of aggressive thyroid cancer.

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.

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.

Pseudaminic acids (Pse) are a family of carbohydrates found within bacterial lipopolysaccharides, capsular polysaccharides and glycoproteins. Now, monoclonal antibodies have been developed that recognize diverse Pse across several bacterial species, enabling mapping of the Pse glycoproteome and demonstrating therapeutic potential against multidrug-resistant Acinetobacter baumanii in in vitro and in vivo infection models.

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.

Wei et al. perform spatial transcriptomic profiling on synovial tissue biopsy samples from individuals with recent-onset rheumatoid arthritis, finding TGFβ signaling and fibrogenic fibroblast activation drive a treatment-refractory tissue phenotype.

A single-cell epigenomic atlas of human immune cells highlights cell-type-specific features associated with genetic or environmental exposures.

Application of multiancestry and ensemble-based approaches yields improved polygenic risk prediction models for breast cancer and its subtypes among women of African ancestry.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

This study applies generalized linear mixed models (GLMM) and advanced transcriptome wide association study (TWAS) methods to improve the discovery of colorectal cancer risk transcription factors and genes, including potential druggable targets.

Vassy, Dornisch and colleagues developed a genomics-based prostate cancer risk model to support a randomized clinical trial of precision screening in a national healthcare system.

While antivirals like nirmatrelvir/ritonavir and molnupiravir are known to reduce severe COVID-19, their impact on cardiovascular outcomes is unclear. Here, the authors use a target trial emulation design to show that nirmatrelvir/ritonavir significantly lowers long-term cardiovascular risks among hospitalized patients, highlighting its potentials over molnupiravir for mitigating post-COVID-19 cardiovascular complications.

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.

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.

The deactivation of CO₂ reduction electrocatalyst in microbial media remains a key barrier for hybrid bio-electrochemical systems. Here, the authors present a bioadaptive nickel single atom catalyst that resists organic poisoning to enable high-rate CO-mediated isopropanol production from CO₂.

This study finds that native tree extinctions and alien naturalizations are pushing forests towards fast-growing, resource-demanding species. This global shift could affect carbon storage and ecosystem stability, highlighting the need to protect slow-growing trees.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

In a randomized phase 2 trial in patients with acute coronary syndrome and high levels of the inflammation biomarker C-reactive protein, treatment with low-dose interleukin-2 increased the numbers of regulatory T cells and reduced arterial inflammation, compared to placebo.

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.

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.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

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 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.

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.

This study provides new insights into the role of endoglin (ENG) as a co-receptor in endothelial cells and addresses a gap-in-knowledge on how ENG could be involved in both TGF-β and BMP9 signalling. Such knowledge greatly facilitates therapeutic targeting of ENG-related pathways.

Carbonate parameters in regions with low oxygen and high natural CO₂ are sensitive to added CO₂ but do not always suffer anthropogenic ocean acidification; outcomes depend on the combined action of available anthropogenic CO₂ and buffering

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.

The disordered molecular aggregation of non-fullerene acceptors in nonhalogenated solvents limits the performance of organic solar cells. Here, the authors apply an ultrasound field to induce J aggregation of molecules, achieving maximum efficiency of 20.41% for o-xylene-processed ternary devices.

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.

Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this cancer.

STING–type-I interferon pathway regulates the immunogenicity of several cancer types, including head and neck squamous cell carcinoma. Here the authors describe that glutamine metabolism in the tumour microenvironment dampens the STING–type-I interferon pathway by epigenetically silencing the expression of BATF2, which functions as a tumour suppressor.

Here, the authors integrate genomic and transcriptomic data obtained from African-ancestry female participants and identify six genes associated with breast cancer risk which provides biological insights into this common cancer in an underrepresented population.

Therapeutic gene editing in vivo is an ongoing challenge. Here, authors demonstrate Cas9 nickase guided DNA ligation as a nonviral method for installing permanent genomic corrections with favorable on target edit profiles in model animal cell types and adult mice.

Lung adenocarcinomas bearing the ID2 mutational signature display increased LINE-1 retrotransposon activity, which contributes to their fast evolutionary dynamics and aggressive phenotype.

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.

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.

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.

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.

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.

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.

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.