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Smyth et al. demonstrate that a cellular inhibitor of apoptosis, cIAP2, exacerbates inflammation and cardiac injury after myocardial infarction and that its inhibition, either genetically or via Smac mimetics, offers a promising immunotherapeutic strategy to reduce post-MI damage and progression to heart failure.

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.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

This study analyses whole-genome sequencing data of cancer samples from 10,983 patients and explores relationships among mutational signatures, various biomarkers and clinical outcomes.

The Greenland shark, the longest-living vertebrate, inhabits the dim, frigid depths of the Arctic Ocean. Despite its extreme lifespan, this study finds that its vision remains intact and well-adapted for life in dim light, revealing remarkable preservation of sensory function across centuries.

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.

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.

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.

Down syndrome (DS) increases gene dosage that disrupts neurodevelopment and cognition. Using human-derived isogenic neurons, this study reveals altered network activity, synaptic dysfunction, and ion channel defects underlying DS neural impairment.

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.

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).

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.

This study introduces the Lipid Nanoparticle Database (LNPDB) and web tool that consolidates lipid nanoparticle structure-function data. LNPDB facilitates molecular dynamics and deep learning approaches to advance data-driven design for nucleic acid delivery.

In this atlas paper, the authors provide a transcriptomic and spatial taxonomy of myeloid cells in the central nervous system of mice and humans in health and pathology.

Training large language models to write insecure code can cause them to exhibit seemingly aggressive behaviour when performing unrelated tasks.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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, 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.

European XFEL allows investigation of the picosecond time range in the photocycle of photoactive yellow protein.

Light trapped in the active polymeric layer limits the total efficiency of polymer light-emitting diodes. Here, Lee et al.get round this bottleneck by enhancing light extraction in waveguide optical modes via ripple-shaped nanostructures that spontaneously form on ZnO electrode surfaces.

The authors show that the CD4 mimetic CJF-III-288 stabilizes HIV-1 Env in an asymmetric “open” State-3 conformation, guiding anti-CoRBS antibodies to boost ADCC against infected cells and delay viral rebound in vivo, underscoring therapeutic promise.

How neuron-level interactions produce complex cognitive behavior remains unclear. Here, the authors develop a brain circuit mechanistic model based on physiological computation, that uncovers an unexpected neural code, subsequently validated by empirical data.

The genomic landscape of diffuse gliomas remains to be characterised. Here, the authors perform whole genome sequencing of 403 tumours and identify recurrent coding and non-coding genetic mutations, their associations with clinical outcomes and potential therapeutic targets.

How inflammation spreads from the skin to the joints in psoriatic disease is unclear. Here, the authors show that joint-resident fibroblasts can control differentiation of infiltrating skin-derived myeloid precursors that can become inflammatory macrophages.

Parathyroid glands are crucial for balancing blood calcium levels. Here, the authors generate comprehensive maps of the chromatin landscape of human parathyroids, linking identified regulatory elements to key functions in calcium homeostasis.

During the early phase of the COVID-19 pandemic there was a need for rapid dissemination of clinical findings. Here, Jung, Di Santo et al. perform a systematic review and cohort study providing evidence for lower methodological quality scores and faster time to publication of clinical studies related to COVID-19 than comparable studies.

Heart shape is heritable and potentially linked to cardiometabolic conditions. Here the authors perform GWAS on principle components of ventricular shape to identify 43 unique loci, 14 of which are novel for cardiac traits.