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This study reports that de novo germline missense variants in SF3B1, distinct from the somatic variants frequently observed in cancer, cause a neurodevelopmental disorder and disrupt global RNA splicing.

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

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.

EGFR inhibitors are standard of care in patients with EGFR-mutant non-small cell lung cancer (NSCLC) but resistance often develops. Here the authors report that the evolution of EGFR inhibitor resistance in EGFR-mutant NSCLC results in a sensitivity to the compound, MCB-613, and investigate the underlying mechanism of action.

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.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

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

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.

Mutations in GJB2 cause DFNB1, the most common hereditary deafness. ATAC-seq identification of gene regulatory elements enables targeted GJB2 delivery to cochlear cells, preventing hearing loss in mouse models.

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.

mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to immune checkpoint inhibitors.

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.

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.

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.

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.

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.

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.

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.

Off-target activation of nerve fibers is an ongoing problem in bioelectronic medicines such as vagus nerve stimulation. Here, the authors show that high-frequency stimulation can selectively block nerve fibers in the vagus nerve in swine models.

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.

Genetically encoded sensors are generally optimized to function during exponential growth rather than stationary phase, which limits their potential value for metabolic engineering and bioproduction. Here, authors engineer a stationary phase green light sensor and use pulsatile light to optimize production of industrially relevant small molecules.

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.

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.

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.

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.

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.

Biosynthesis of all androgens from cholesterol first requires cytochrome P450 (CYP) 11A1 for generation of pregnanes and then CYP17A1 for biosynthesis of androgens, but CYP17A1 inhibition cannot completely inhibit androgen biosynthesis in prostate cancer. Here, the authors identify a role for CYP51A1 in the biosynthesis of androgens that completely bypasses the requirement for CYP17A1 and demonstrate that CYP51A1 is essential for the biosynthesis of ¹³C-testosterone from ¹³C-cholesterol in prostate cancer cells.

FACED 2.0 builds on and expands the capabilities of the free-space angular-chirp-enhanced delay microscopy approach. Its high speed, large field of view and volumetric coverage enable two-photon voltage imaging of hundreds of neurons or calcium imaging of thousands of neurons in the mouse or zebrafish brain.

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.

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.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

The histone methyltransferase ASH1L has been linked to tumorigenesis, mainly in leukemia. Here, authors report that ASH1L cooperates with HIF-1α to induce a pro-metastatic transcriptome in prostate cancer cells, and promotes conversion of monocytes to lipid-associated tumor-associated macrophages in the bone metastatic niche.

Here the authors report asperigimycins, fungal ribosomally synthesized and post-translationally modified peptides with a heptacyclic scaffold. After chemically modifying them for nanomolar anticancer activity, CRISPR screening identifies SLC46A3 as a key transporter for their uptake in cells.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

Self-assembled multidomain supramolecular peptide hydrogels that engage in dynamic covalent bonding with small-molecule drugs and biologics are shown to offer sustained release, extend the activity, and maintain safe and potent drug levels in vivo.

Activated carbon has been widely used for PFAS adsorption, but this method generates secondary solid wastes. The flash Joule heating approach realizes mineralization of PFAS and generation of useful flash graphene in waste granular activated carbon.

A flexible micro-electrocorticography brain–computer interface that integrates a 256 × 256 array of electrodes, signal processing, data telemetry and wireless powering on a single complementary metal–oxide–semiconductor substrate can provide stable, chronic in vivo recordings.

A study of myeloid cells in gliomas, a type of brain tumour, used a factor-based computational framework to reveal four immunomodulatory gene-expression programs that are expressed across myeloid cell types, driven by microenvironmental cues and predictive of therapeutic response.

The efficacy of CAR-T cells against solid tumors is still limited by immunosuppressive factors. Here, the authors show that engineering of CAR T cells with A1R enhances their efficacy against solid tumors in vitro and in vivo.