Search

Atopic dermatitis is an immune disease driven by cytokines including IL-4/IL-13. This study shows that a topical ITK/TRK inhibitor blocks an array of T cell cytokines, inhibits NGF-induced basophil activation, and reduces inflammation in human skin explants and dermatitis models, indicating therapeutic potential.

Germ cell tumours are a complex and heterogenous type of tumour which are difficult to classify using biomarkers. Here, the authors use PhIP-seq to develop an immunosignature panel for classification.

Computationally designing proteins with interfaces that bind small molecules has posed a long-standing challenge. Here, authors combine deep learning and physics-based approaches to design proteins that bind small molecules, and demonstrate their approach by designing a cortisol biosensor.

When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single-path analyses and the need to address analytical uncertainty.

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.

A large-scale study on the replicability of claims from social and behavioural science journals reports that about half of the results replicate in the same patterns as the original study.

Divergent white matter metabolic patterns reveal a mechanistic basis for cognitive resilience and enhance prediction of future cognitive decline beyond established aging and dementia biomarkers.

A study of reproducibility in a stratified random sample of 600 papers published from 2009 to 2018 in 62 journals spanning the social and behavioural sciences finds higher reproducibility among more recent papers and papers from journals that require data sharing.

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.

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

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.

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.

Hominin fossils from the Ledi-Geraru Research Project area, Ethiopia, suggest that early Homo and Australopithecus species co-existed in the region more than 2.5 million years ago.

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 pangenome reference for the phenotypically diverse crop sorghum aims to help accelerate future efforts to breed crops that are better adapted to changing environments.

Whether weak brain rhythms carry information about ongoing behavior remains unclear. Here, the authors develop a neural network that finds subtle motifs in irregular brain rhythms arising from neural populations to read out where a rat is in its environment.

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.

MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language models on real-world clinical tasks.

Myotonic dystrophy type 1 affects both muscle and neuronal function, but its synaptic pathology is poorly understood. Here, the authors show that upregulation of FasII (NCAM1) in both pre- and postsynaptic cells synergistically drives neuropathological and behavioral DM1 phenotypes, which can be rescued by FasII knockdown or specific isoform modulation.

Whole-genome and transcriptome analysis of 1,364 cases of breast cancer from South Korea broadens our understanding of breast cancer biology and reveals genomic features that connect tumour biology with treatment responses and clinical outcomes.

Jacquemyn et al. identify key lipid determinants controlling ectosome shedding from neurons. They find that ectosomes are a major route for the intercellular transport of misfolded α-synuclein, with relevance to Parkinson’s disease pathology.

Here, the authors examine the mechanisms behind cheatgrass’s successful invasion of North American ecosystems. Their genetic analyses and common garden experiments demonstrate that multiple introductions and migrations facilitated cheatgrass local adaptation.

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.

KRAS mutations are keenly associated with pancreatic ductal adenocarcinoma and represent a potential therapeutic target. Here the authors present the findings from a phase I clinical trial testing pooled KRAS mutant peptides in combination with immune checkpoint blockade in patients with resected pancreatic ductal adenocarcinoma.

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.

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 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.

Prima is an AI foundation model for neuroimaging based on clinical magnetic resonance imaging that offers accurate and explainable diagnostics, worklist priority for radiologists and clinical referral recommendations with equitable performance on diverse groups.

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.

A spatial and single-cell transcriptomics study across multiple mammalian species identifies epidermal BMP signalling as a functional requirement for rete ridge formation, providing insight into mechanisms underlying hair density loss and wound healing.

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.

TDP-43 dysfunction in ALS/FTD causes faulty splicing of the KCNQ2 ion channel, leading to toxic protein buildup, neuron hyperactivity and a potential new biomarker and treatment target using RNA-based therapies.

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 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving 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.

Using viral barcode tracing to detect interactions between glioblastoma cells and non-malignant astrocytes in patient samples, investigators discovered a pathway that reduces tumour-specific immunity and identified potential therapeutic targets.

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.

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.

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.

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.

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.