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Autopsy brain studies can be distorted because time and temperature alter gene expression. Here, the authors show that neurons, then oligodendrocytes, sequentially activate artifact genes, and provide a tool to measure these effects in RNA 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.

Meningiomas are common brain tumors with variable behavior. This study reveals high STING expression across multiple cell types in the meningioma microenvironment. STING agonism triggers tumor cell death via programmed necrosis and pyroptosis, enhancing survival in preclinical models.

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.

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.

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.

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.

Language models can write human-readable code that captures general design rules, generating whole families of quantum experiments at once. A design strategy described here makes results interpretable and scalable, as well as accelerates discovery.

Chemical language models trained on known metabolites can identify previously unknown metabolites from mass spectrometry-based metabolomics data with high accuracy.

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.

Greenwald, Nederlof and colleagues developed a computational pipeline analyzing multiplex imaging data and established spatial patterns within breast cancer microenvironment that are predictive of immune checkpoint blockade response across treatment time course.

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.

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.

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.

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.

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.

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

A CRISPR screen reveals that loss of structural components of the SAGA complex derails hematopoiesis by decoupling epigenetic control. This halts stem cell maturation, triggers a pathogenic interferon program and boosts human MDS-L cell growth.

Scanning nitrogen-vacancy microscopy unveils super-moiré spin textures emerging in twisted double-bilayer CrI₃ and provides real-space evidence of antiferromagnetic Néel-type skyrmions spanning multiple moiré cells.

The existing ENCODE registry of candidate human and mouse cis-regulatory elements is expanded with the addition of new ENCODE data, integrating new functional data as well as new cell and tissue types.

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.

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.

Sabatino and colleagues examine expanded CD8⁺ T cell clonotypes from a small cohort of multiple sclerosis patients. They identified several cognate peptide epitopes that derive from Epstein–Barr virus, suggesting EBV reactivation may drive pathogenesis in these patients.

Despite high morbidity and mortality, there are currently no approved vaccines for protection against Middle East respiratory syndrome (MERS) coronavirus. Here the authors develop a ferritin nanoparticle-based MERS-CoV vaccine that elicits high levels of neutralizing antibodies in mice, non-human primates, and alpacas and prevents infection in an alpaca challenge model.

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.

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.

Our annual survey highlights startups tackling intractable viruses with new vaccine design, engineering a reliable source of platelets, universalizing cell therapies, improving cancer screening, developing RNA-editing platforms and targeting protein–RNA interactions. Michael Eisenstein, Ken Garber, Caroline Seydel and Laura DeFrancesco report.

Analysis of a placebo-controlled trial of a BCMA-targeting CAR-T cell therapy in patients with myasthenia gravis shows that CAR-T cell infusion selectively remodels the systemic immune environment, with elimination of BCMA-high plasma cells and activated plasmacytoid dendritic cells and changes in the autoreactive B cell repertoire.

The lowest-frequency gravitational wave background may be shaped by supermassive black hole binaries that scatter nearby stars or dark matter. In this case, the NANOGrav 15-year dataset favours dense galactic centres with 10⁶ solar masses per cubic parsec.

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.

Projected impacts of climate change on malaria burden in Africa by 2050 highlight the urgent need for climate-resilient malaria control strategies and robust emergency response systems to safeguard progress towards malaria eradication.

Jaxley is a versatile platform for biophysical modeling in neuroscience. It allows efficiently simulating large-scale biophysical models on CPUs, GPUs and TPUs. Model parameters can be optimized with gradient descent via backpropagation of error.

Calcite exhibits extreme anisotropy in its infrared properties, resulting in hyperbolic behavior that can support resonances. This study shows that the relative orientation between calcite resonators and crystal axes can be exploited to manipulate the spectrum, polarization, and propagation of infrared light confined by hyperbolic materials.

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.