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A tunable granular biomaterial matrix is developed to support long-term bioprinting. Stress relaxation at high strains and long timescales is shown to be important for tissue self-organization in intestinal organoids.

Longitudinal metatranscriptomics in a prospective cohort of 1,164 adults hospitalized for COVID-19 reveals that azithromycin offered no apparent anti-inflammatory benefit but enriched the respiratory microbiome with potential pathogens and antimicrobial resistance genes.

A common mechanism of inhibition of the essential lipid II flippase MurJ by three distinct phage-encoded single-gene lysis proteins provides insights into potential new targets for antimicrobial development.

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.

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.

Dnmt3a mutations in mouse haematopoietic stem and progenitor cells equivalent to R882 mutations in human cause increased mitochondrial respiration, suggesting that this is a mechanism of clonal haematopoiesis and a potential therapeutic target.

Pelizaeus-Merzbacher disease (PMD) is due to myelin proteolipid protein gene mutations. Here, the authors show that inhibiting the integrated stress response extends the lifespan of a mouse PMD model by increasing oligodendrocyte survival and myelination.

Hepatocytes are central for maintaining metabolic homeostasis during nutritional transitions. Here, we show that the structural remodelling of hepatic organelles is part of hepatocytes’ metabolic plasticity to adapt to cycles of fasting/feeding and this process is zonated in the liver.

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.

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.

Prenatal stress triggers molecular dysregulations in fetal neuroimmune circuits, leading to altered mast cell and sensory neuron function, which predisposes offspring to develop eczema in response to otherwise harmless mechanical friction after birth.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

Long COVID has heterogeneous presentation and clinical trajectories are not well defined. Here, the authors define trajectories using data from a prospective cohort study in the United States involving symptom questionnaires from acute infection up to 15 months.

In this study, Park, Haley, Le, Jung et al. perform a detailed characterization in vivo of metabolic flux distribution during thermogenesis and uncover brown fat nutrient fluxes and unexpected inter-organ metabolic crosstalk and glutamine utilization.

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.

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.

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.

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.

Thomas, Egan et al. report that hexokinase 2 localizes to the nucleus of leukaemic and normal haematopoietic cells to maintain stemness by interacting with nuclear proteins and modulating chromatin accessibility independently of its kinase activity.

Cardiac rehabilitation can reduce cardiovascular risk factors and prevent cardiac morbidity and mortality as part of a comprehensive secondary-prevention strategy. However, evidence indicates that cardiac rehabilitation programs are currently underutilized, primarily because many patients are not referred to these programs by their health-care providers. The authors of this Review examine how novel referral strategies can help to improve cardiac rehabilitation referral and enrollment rates.

Reverse electron transport is the mechanism behind excess mitochondrial reactive oxygen species in the livers of obese mice, which has implications for developing therapeutics for fatty liver disease in humans.

Clinically significant genetic variation in Asian populations is under-characterized. Here, the authors show the diversity in prevalence and spectrum of human disease and pharmacogenetic variants in a multi-ethnic Asian population.

Nasopharyngeal cancer is frequently characterized by Epstein-Barr virus infection. Here, using genomic analyses, the authors find that the tumours harbour mutations in genes involved in the NF-κB signalling pathway or overexpress a viral oncoprotein, latent membrane protein 1.

The genomic characterisation of nasopharyngeal carcinoma (NPC) remains crucial. Here, the authors perform whole-genome sequencing for 70 NPCs with EBV gene expression, report the somatic alterations and EBV-mediated effects converging on NF-κB activation and immune escape and identify targetable homozygous MTAP deletions.

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.

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.

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.

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 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.

Here, by performing an integrative multi-omics analysis coupled to clinical features of COVID-19 patients prospectively followed for up to 6 month, the authors identify specific gut microbiome patterns associated with disease severity and development of post-acute COVID-19 syndrome.

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).

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.

Studies using human pluripotent stem cells and a mouse model of Down syndrome identify HMGN1 as a key contributor to congenital heart defects in individuals with Down syndrome.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

Detailed reconstruction using enhanced focused ion beam scanning electron microscopy imaging and deep-learning-based automated segmentation demonstrates that hepatocyte subcellular organelle architecture regulates metabolism.

EBV (Epstein-Barr virus)-targeted therapy is limited by efficient agents inducing lytic cycle in cancer cells. Here they report a transcriptional activator incorporated into lipid nanoparticles that could specifically activate endogenous BZLF1 and induce lytic reactivation in EBV-positive cancer cells thereby suppress tumor progression.

Hormonal FABP4 is discovered to be a pivotal regulator of an adipose–beta-cell endocrine axis that coordinates energy status and metabolic organ function, and targeting this axis improved metabolic outcomes.

Data on geographically restricted SARS-CoV-2 variants is lacking in some regions. In this nationwide effort including 18 public health labs, the authors used genomic epidemiology and travel data to understand the origin and spread of 2 variants of interest that predominated during the second wave of the pandemic in Nigeria.

The causative agent of sea star wasting disease has been elusive. This study used genetic datasets and experimental exposures to demonstrate that a strain of the bacterium Vibrio pectenicida caused disease and mortality in sea stars.

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.