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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.

Androgen activity in the male embryonic hindbrain prolongs hindbrain differentiation in male individuals and drives sex differences in the incidence and prognosis of posterior fossa type A (PFA) ependymoma, an aggressive childhood brain tumour.

This study leveraged disease progression modeling to showcase task-based brain activity dysfunction as an important contributor to cognitive dysfunction along the Alzheimer’s disease cascade.

There is a trade-off between achieving fast qubit control and preserving long qubit lifetimes. In this work, the authors demonstrate single qubit gates by driving a transmon qubit parametrically at 1/3 of its frequency, creating fast, high-fidelity gates while protecting the qubit lifetime and mitigating heating.

This paper uses multiomics to profile a large cohort of meningioma samples to highlight the role of the tumor microenvironment in driving the epigenetic changes underpinning tumor classification and prediction of outcome.

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.

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.

Prinz and colleagues examine the distinct functions and repopulation properties of leptomeningeal and perivascular macrophages that mediate immune responses at brain boundaries.

Liquid-cell transmission electron microscopy is used to investigate the network structure of cellulosic gels. The formation of nano- and microscale fibrillar bundles is observed, providing insight into structure–property relationships in hydrogels.

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.

Germline and somatic interactions define actionable genomic patterns driving acquired therapy resistance in breast cancer.

Disease heterogeneity complicates precision medicine, which focuses on single conditions and ignores shared mechanisms. Here the authors introduce ‘pan-disease’ analysis using a deep learning model on multi-organ data, identifying 11 AI-derived biomarkers that reveal new therapeutic targets and pathways, enhancing patient stratification for disease risk monitoring and drug discovery.

Plasma p-tau217 tests used to develop clocks that predict when cognitively unimpaired individuals would develop symptoms of Alzheimerʼs disease.

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

Baum et al. present a synthesis of field data, remote-sensed data, media reports and process-based modelling analyses examining the effects of the 2021 heatwave in western North America for 32 terrestrial and marine taxa as well as gross primary productivity, streamflow and wildfire activity.

The authors model the emergence of climate-driven changes in Antarctic sea ice, phytoplankton, krill, fish and penguins. They show earlier emergence for higher trophic levels, as well as highly seasonal and regional responses.

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.

Resonant inelastic X-ray scattering interferometry reveals a highly entangled electronic phase in Nd₂Ir₂O₇, enabling extraction of its entanglement structure and confirming the cubic-symmetry-breaking order predicted from complementary Raman spectroscopy.

The authors use time-resolved scanning near-field optical microscopy to probe the ultrafast excitonic processes and their impact on waveguide operation in transition metal dichalcogenide crystals. They observe significant modulation of the complex index by monitoring waveguide modes on the fs time scale, and identify both coherent and incoherent manipulations of WSe₂ excitonic resonances.

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.

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.

Bohlen and colleagues report that the E3 ubiquitin ligase CBL is necessary for the development, tolerance and activation of B cells in humans, unlike in mice where CBL deficiency results in loss of T cells.

KRAS is an oncogene that switches between a GDP-bound inactive state and a GTP-bound active state. Recently developed KRAS G12C inhibitors are specific to the GDP-bound inactive state. Here, the authors develop a class of covalent KRAS G12C inhibitors capable of targeting both states for the treatment of KRAS-driven 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.

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.

One of three back-to-back papers to show that dosage of BACH2 can modulate T cell differentiation and function and how we might apply this to enhance CAR T cell therapies for 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.

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.

Roßmann and colleagues report a simple strategy to generate a panel of fluorescent HaloTag Ligands that enable visualisation of cell surface proteins at low concentrations and with brief incubation times. They use these probes to label neuromodulatory receptors in neurons, allowing for the distinction of surface versus internal receptors of the presynaptic terminal.

The relative contribution of lipid catabolism on fasting-induced longevity was unknown. Authors showed lifespan extension from fasting depend on silencing lipid catabolism upon nutrient replenishment through phosphorylation of NHR-49 by KIN-19.

Floquet engineering is often limited by weak light–matter coupling and heating. Now it is shown that exciton-driven fields in monolayer semiconductors produce stronger, longer-lived Floquet effects and reveal hybridization linked to excitonic phases.

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.

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.

Rare-earth elements are effective for engineering the optical properties of materials for a range of applications from lasers to quantum information technologies. Here, the authors investigate the temperature-dependent properties of Er³⁺ photoluminescence in Er₂O₃ thin films, focusing on the Stark-Stark transitions and how their temperature-dependent behaviour results from electron-phonon interactions.

It remains elusive whether the T cell repertoire will cover all point mutations of a major epitope. The authors here show that COVID vaccine–induced CD8⁺ T cells detect most YLQ peptide variants except R5, but naïve T cells fill this gap by responding to R5 despite abundant WT-specific cells, ensuring broad coverage to prevent viral immune-escape.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

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.

Quantum error correction codes protect quantum information, but running algorithms also requires the ability to perform gates on logical qubits. A lattice surgery scheme for fault-tolerant gates has now been demonstrated in a quantum repetition code.

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.

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.

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.

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.

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.