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Genomic deletions in poxviruses are not well understood, the authors found large deletions in >2% of Mpox virus genomes during routine surveillance, highlighting their role in poxvirus evolution and potential impact on diagnostics and therapeutics.

The Zika viral protease NS2B-NS3 is a crucial target for antiviral drug development due to its role in processing viral polyproteins. Here, the authors utilize crystallographic fragment screening and deep mutational scanning to identify binding sites for resistance-resilient inhibitors.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

Determinants of Vibrio cholerae transmission are incompletely understood. Here, the authors use an infant mouse model to show that events in the intestine govern inter-animal transmission and that bacterial motility along with cholera toxin-driven diarrhea are critical for pathogen spread.

The authors describe the isolation and characterization of broadly cross-neutralizing monoclonal antibodies (mAbs) against diverse H5Nx viruses from individuals who received a monovalent H5N1 vaccine 15 years ago. They identify five mAbs that potently neutralized the majority of H5 clades and protected against lethal 2.3.4.4b H5N1 infection in mice.

In a prospective study enrolling 1,222 patients from 22 emergency departments, a device using a machine-learning-based signature of blood mRNAs demonstrated clinically acceptable performance to diagnose bacterial and viral infections and to predict the all-cause need for critical care interventions within 7 days, with benchmark to established biomarkers and risk scores.

This study shows that p300/CBP-dependent H2B acetylation is crucial for maintaining transcription of oncogenic gene programs in androgen receptor-driven prostate cancer.

Lineage tracing in mice identifies a subpopulation of basal cells that express Tmprss2 and Nkx3 as the origin of ERG-driven prostate cancer. Upon expansion, these cells show an enrichment for STAT3 chromatin binding and elevated expression of KMT2A and DOT1L as dependencies for ERG oncogenicity.

A significant challenge in modern drug development is the comprehensive profiling of covalent inhibitors. Here, the authors develop COOKIE-Pro, an unbiased method for quantifying the binding kinetics of irreversible covalent inhibitors on a proteome-wide scale.

Genome-wide CRISPR screens map how genes support survival and contribute to diverse biological functions. Here, the authors use antiCRISPR to enhance genome-wide CRISPR screening in Drosophila and generate higher-resolution maps of cell fitness, toxin, and drug-resistance.

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.

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.

We present the first federally funded Tribal data repository — the Data for Indigenous Implementations, Interventions, and Innovations Tribal Data Repository. This repository takes a revolutionary approach to data management by building space for researchers to engage with data from Indigenous groups under rigorous Tribal Nation governance and by prioritizing community data-sharing interests.

Despite observed routinely from spacecrafts landing on, e.g., lunar soil, the origin of radial streak patterns has been unclear up to now. Here, the authors report an experimental study of such instabilities in the coupled dynamics of rocket plumes and sand surfaces.

Here, a combination of forward genetics and genome-wide association analyses has been used to show that variation at a single genetic locus in Arabidopsis thaliana underlies phenotypic variation in vegetative growth as well as resistance to infection. The strong enhancement of resistance mediated by one of the alleles at this locus explains the allele's persistence in natural populations throughout the world, even though it drastically reduces the production of new leaves.

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.

A mass spectrometry-based approach globally identifies protein regulators of metabolism and reveals the role of LRRC58 in controlling cysteine catabolism.

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.

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.

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.

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.

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

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.

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.

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).

This study reveals that an outer membrane protein from the predator Bdellovibrio bacteriovorus forms a pentameric assembly that traps a lipid monolayer within. This allows the discovery of two superfamilies, distributed across a wide range of bacteria, likely to adopt a similar architecture.

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.

Li et al. discovered that the cytotoxic synthetic small molecule BRD1732 is directly ubiquitinated in cells. Ubiquitination of BRD1732 is E3 ligase dependent and leads to inhibition of proteasomal degradation.

Breast cancer cells interact with neighbouring adipocytes, but the mechanisms are not fully understood. Here, the authors show that triple-negative breast cancer (TNBC) cells transfer cAMP through gap junctions, activating lipolysis in tumour-associated adipocytes to promote TNBC growth.

Gelabert et al. examine genomic and archaeological data from Europe’s earliest farming communities in Central Europe (5500–5000 bce). They find differentiated genetic networks but no evidence of unequal access to resources linked to sex or kin.

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.

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.

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.

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.