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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).

Mauthe et al. find that protein aggregate clearance requires fragmentation of the aggregate by a chaperone module and a proteasomal regulatory particle for recruitment and clustering of selective autophagy receptors to initiate phagophore formation.

A modularized open-source pipeline for invasive brain signal decoding bridges the gap between closed-loop neuromodulation and clinical brain–computer interface approaches in a large patient cohort.

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 formation of blood and lymph vessels after injury requires precise temporal coordination. Here, the authors show that the small GTPase RhoB induces angiogenesis but inhibits lymphangiogenesis in response to dermal wounding by activating different sets of genes in blood vessels and lymphatic endothelial cells.

Xenotransplantation of a genetically edited pig kidney with a thymic autograft into a brain-dead human for 61 days with immunosuppression resulted in stable kidney function without proteinuria, and xenograft rejection was treated and reversed by the end of the study.

Chronic stress disrupts the brain vasculature and contributes to mood disorders, but mechanisms of resilience remain unclear. Here, the authors show that enriched environments increase astrocytic Fgf2 to prevent stress-induced vascular alterations and depressive behavior with relevance to human depression.

Pathogenic variants in UNC13A underlie a novel neurodevelopmental syndrome, with three subtypes defined by distinct genotypes with varying clinical and functional impacts characterized in cellular and animal models.

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

Whole-genome sequencing and mutational signature analysis of 265 head and neck cancer samples collected from eight different countries provide insight into the vital contribution of tobacco smoke in disease etiology.

Bacterial ligands cannot induce Toll-like receptor 2 (TLR2)-dependent production of type I interferon. Barton and colleagues find that, in contrast, viral ligands trigger TLR2-dependent interferon production by a subset of inflammatory monocytes.

Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this 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.

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.

A liver-intrinsic mechanism is presented that suppresses effective anti-hepatitis virus B responses in mice and humans by rendering virus-specific CD8 T cells refractory to activation causing loss of effector functions.

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.

Antibodies against dengue virus (DENV) can increase Zika virus (ZIKV) infectionin vitro, but their role in vivoremains largely unknown. Here, the authors show that pre-existing immunity from a 2.8 years earlier DENV infection does not affect ZIKV pathogenesis in macaques but instead shortens Zika viremia.

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.

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.

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.

Capturing the value back from plastic waste has been the holy grail of recyclers. Biotechnology is taking us closer to a solution.

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.

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.

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.

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.

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.

Whole-genome sequencing of 962 clear cell renal cell carcinomas from 11 countries shows geographic variations in somatic mutation profiles, including a mutational signature of unknown cause in 70% of cases from Japan.

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.

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.

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.

Prostate cancer (PrCa) involves a large heritable genetic component. Here, the authors perform multivariate fine-mapping of known PrCa GWAS loci, identifying variants enriched for biological function, explaining more familial relative risk, and with potential application in clinical risk profiling.

p53 is shown to have a pivotal role in the differentiation of alveolar type 1 cells in cancer and alveolar repair after injury, and loss of this governance can promote diseases such as lung adenocarcinoma.

A cross-reactive antibody and T cell response is identified in a large portion of patients with multisystem inflammatory syndrome in children.

E1E2 spike on the hepatitis C virion is an important target for vaccine design. Here, the authors permute the subunits to generate E2E1 immunogens and show that mosaic nanoparticles displaying different E2E1 antigens elicit cross-neutralizing antibodies in rabbits.

Analysis of genomic data from 981 colorectal cancers from participants in 11 countries reveals variations in mutational signatures of microsatellite-stable cancers that are dependent on geographical origin and age at which the cancer was diagnosed.

The incidence of esophageal squamous cell carcinoma varies significantly across different geographical regions. Mutational signature analysis of tumors sampled from high- and low-incidence areas suggests that these variations may not be explained by mutagenic exposures.

Rebecca Fitzgerald and colleagues used genome sequence analyses to study the progression from premalignant Barrett's esophagus to esophageal adenocarcinoma (EAC) and found that the majority of recurrently mutated genes in EAC were also mutated in precursor lesions and that only mutations in TP53 and SMAD4 were stage specific.

In this largest whole-exome sequencing study of epilepsies to date, the Epi25 Collaborative identified extremely rare variants that confer risk for diverse epilepsy subtypes, highlighting roles in synaptic transmission and neuronal excitability.

Genome-wide association meta-analyses identify 26 risk loci for epilepsy, including 19 loci specific to genetic generalized epilepsy. Prioritized candidate genes implicate synaptic processes and overlap with targets of antiseizure medications.

José Penadés and colleagues examine host adaptation and specificity for Staphylococcus aureus with analysis of the whole-genome sequences of strains isolated from humans or rabbits. They find that a rabbit-specific clone evolved through a human-to-rabbit host jump, enabled by a single mutation in dltB.

This study describes a class of small molecule compounds that promote ABCA1-dependent cholesterol efflux via a non-transcriptional mechanism, the identification of the molecular target by a chemical biology approach, and the potential of these agents for the treatment of chronic kidney diseases and potentially other diseases where lipid accumulation drives disease progression.