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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.

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.

Robustness checks and reproduction of analyses with existing and updated data based on 110 articles in economics and political science journals with data and code-sharing requirements found high levels of robustness and reproducibility and determined that robustness was not dependent on author characteristics or data availability.

Bálint et al utilized cyclohexenone and cyclopentenone based reversible covalent warheads to produce specific composite c-Jun N-terminal kinase inhibitors to demonstrate the modular nature of Michael acceptor based cyclic warhead designs.

Precision oncology requires access to high quality data, as well as the application of current technologies. Here, the authors use federated learning to predict clinical outcomes in anal cancer patients across 16 centres as part of the atomCAT consortium.

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 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.

Visible-light-mediated intramolecular [2+2] cycloaddition of aza-1,6-dienes gives bridged, not fused, heterocycles, in violation of the ‘rule-of-five’, which dictates that five-membered rings are preferentially formed. This method allows a variety of bridged bicyclic scaffolds to be accessed, enabling drug-relevant properties to be readily tuned.

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.

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.

Using efficacy estimates from a previous cluster randomized trial in Senegal and accounting for differences in weather, vegetation and population density between trial and non-trial areas, a machine learning-enabled method estimates intervention efficacy for mass drug administration against malaria at a granular scale and beyond the trial period.

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.

In a randomized trial enrolling 354 patients with heterozygous familial hypercholesterolemia on maximally tolerated lipid-lowering therapy, treatment with the cholesteryl ester transfer protein inhibitor obicetrapib was well tolerated and significantly lowered low-density lipoprotein cholesterol by 36.3% as compared to placebo.

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.

XRISM spectroscopy of the nucleus of the Circinus galaxy indicates elemental abundances suggestive of a dominant enrichment from core-collapse supernovae with progenitors below 20 solar masses; more massive stars may directly collapse into black holes.

From 2014–2017, marine heatwaves caused global mass coral bleaching, where the corals lose their symbiotic algae. The authors find, this event exceeded the severity of all prior global bleaching events in recorded history, with approximately half the world’s reefs bleaching and 15% experiencing substantial mortality.

Starburst galaxies are seen to host galaxy-scale winds, which are super-fast and could be powered entirely by the thermal pressure of gas heated by supernovae.

An online experiment compared 12 brief online interventions for depression. Most improved mental health immediately, but these gains decreased over time, with only two interventions significantly reducing depression 4 weeks later.

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).

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.

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.

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.

Póti et al developed cyclic, tuneable and chiral warheads against the protein-protein interaction surface of mitogen-activated protein kinases, which form a reversible covalent bond with nucleophilic surface residues to modulate cellular signaling networks.

In this phase 2, randomized trial in early Alzheimer’s disease, the TREM2 agonistic antibody AL002 showed target engagement but did not meet the primary endpoint of change from baseline in Clinical Dementia Rating-Sum of Boxes score.

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, long-read RNA sequencing achieves accurate single-nucleotide polymorphism calling, haplotype phasing and allele-specific expression analysis.

Genome-wide analysis coupled with long-read sequencing identifies a repeat expansion in GOLGA8A associated with high risk for atypical frontotemporal lobar degeneration with ubiquitin-positive inclusions.

In a randomized, double-blind, placebo-controlled trial comparing autologous mRNA-engineered BCMA-targeting CAR T cell therapy versus placebo in patients with generalized myasthenia gravis, a significantly higher percentage of patients exhibited a reduction in disease activity in the treatment arm than in the placebo arm.

The flagellated protist Angomonas deanei harbours a bacterial endosymbiont. Here, Hammond et al. report a high-confidence subcellular proteome, localising 5,796 proteins of the protist and its endosymbiont to various organelles and cell compartments, and identify several host-encoded proteins that are targeted to the bacterium.

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.

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.

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.

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.

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.

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.

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.

Rare coding variants that reduce the activity of a protein can have a beneficial impact on health. Here, researchers identify rare genetic variants in the CHRNB3 gene that associate with reduced cigarette smoking across diverse populations.

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.

Munhall et al. perform a large-animal trial of a repurposable specific drug treatment for crush syndrome, the second-most common cause of death in earthquakes. Cilastatin sodium is effective to ameliorate kidney injury and reduces the lethal elevation of blood potassium, suggesting strong potential for further steps toward translation.

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.

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