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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.

Genome editing tools can precisely introduce a specified lesion into the DNA, but ultimately rely on the cell’s DNA repair machinery to determine the editing outcome. Here, authors demonstrate how neurons’ unique DNA repair pathways impact the safety, efficiency, and precision of CRISPR edits.

Genome-wide CRISPRi screens for modulators of androgen receptor (AR) protein levels using live-cell quantitative endogenous AR fluorescence reporters identify PTGES3 as a new regulator of AR stability and function in prostate cancer.

Variants in the PSMC5 gene impair proteasome function and cellular homeostasis, altering brain development in children. This study reveals underlying molecular mechanisms contributing to this neurodevelopmental phenotype, and suggests therapeutic leads for neurodevelopmental proteasomopathies.

WHaloCaMP is a chemigenetic calcium indicator that can be combined with different rhodamine dyes for multiplexed or FLIM imaging in vivo, as demonstrated for calcium imaging in neuronal cultures, brain slices, Drosophila, zebrafish larvae and the mouse brain.

Synapses are diverse within a single neuron. Here, the authors present a method for single-cell synaptome imaging of endogenous protein subpopulations in the mouse brain, enabling spatial mapping of synapse diversity in protein localization and turnover.

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).

Openshaw and colleagues find myeloid inflammation and complement activation signatures in patients with long COVID who were previously hospitalized.

Live-cell imaging of mRNA encoding secretome proteins and translated nascent peptide markers show that secretome translation occurs at endoplasmic reticulum junctions near lysosomes, requires lunapark protein and is modulated by nutrient status.

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.

Intravenous delivery of an adenine base editor and a single-guide RNA for the Fah gene can correct an A>G splice-site mutation in an adult mouse model of tyrosinaemia.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

This study combines lattice light sheet microscopy and single molecule imaging to study protein dynamics and chromatin structure in live cells. The authors describe how nucleosomes and proteins move and are organised in relation to chromatin density.

Genetically encoded voltage indicators (GEVIs) allow visualisation of fast action potentials in neurons but most are bright at rest and dimmer during an action potential. Here, the authors engineer electrochromic FRET GEVIs with fast, bright and positive-going fluorescence signals for in vivo imaging.

Engineering a mutant-specific customized base editor precisely corrects a mutation while minimizing bystander edits, leading to substantial phenotypic recovery in mouse models of multisystemic smooth muscle dysfunction syndrome.

This Consensus Statement presents the standards for technical reporting in environmental and host-associated microbiome studies (STREAMS) guidelines.

ALI is an approach for analyzing voltage imaging data that is inspired by algorithms used in super-resolution microscopy. It allows resolving the activity of single neurons in densely labeled populations in scattering conditions.

Dimethyl fumarate (DMF) is an anti-inflammatory drug proposed as a treatment for COVID19. Here the results are reported from a randomised trial testing DMF treatment in 713 patients hospitalised with COVID-19. DMF was not associated with any improvement in day 5 outcomes.

Combining the self-labeling HaloTag protein with synthetic environmentally sensitive fluorophores provides a platform for the construction of bright, far-red fluorescent calcium and voltage sensors with tunable photophysical and chemical properties.

The CaMKII complex can enter a state of Ca²⁺-independent activity in response to high frequency Ca²⁺ pulses. Using functional and structural analyses, it is now shown that activation is cooperative and the basis of this is the intersubunit capture of the regulatory subunit of one kinase module by its neighbor.

3D ATAC-PALM integrates ATAC with super-resolution imaging for nanoscale views of the accessible genome. When combined with FISH, protein fluorescence and genetic perturbation, the method enables investigation of accessible chromatin in situ.

This report from the 1000 Genomes Project describes the genomes of 1,092 individuals from 14 human populations, providing a resource for common and low-frequency variant analysis in individuals from diverse populations; hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites, can be found in each individual.

Lattice light-sheet and PAINT microscopy are combined to achieve low-background detection of dense molecular labels, yielding super-resolution localization microscopy images of intricate 3D structures within dividing cells and embryos.

A novel multi-omics workflow, combining gut microbiome metagenomics, metatranscriptomics and metabolomics, enabled the identification of the microbial pathways responsible for the degradation of the immunomodulatory drug 5-ASA in the gut of patients with inflammatory bowel disease.

The authors report a co-occurrence of the U2AF1 S34F splicing factor mutation and ROS1 translocations in lung adenocarcinomas and profile effects of S34F on transcriptome-wide RNA binding. They further show that U2AF1 S34F enhances invasive potential and alters splicing of ROS1 fusion transcripts

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

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.

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.

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.

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.

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.

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.

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.

Reporter gene expression history in cells is recorded with engineered fluorescent protein fibers.

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.

Chris Garcia, David Baker and colleagues use a computational approach to develop designed repeat protein binders (DRPBs), which function as human Frizzled (Fz) subtype-selective antagonists and enable identification of Fz subtypes active in different organs.

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.

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.