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In this work, authors show that the nucleoside prodrug obeldesivir has potent antiviral activity across respiratory syncytial virus (RSV) clinical isolates with a high resistance barrier. Once-daily obeldesivir treatment was efficacious against RSV in a non-human primate model.

Influenza genetic diversity is a key challenge in the design of a universal influenza vaccine that protects against different strains of influenza virus. Here, Malouli and colleagues demonstrate use of a cytomegalovirus-based T cell vaccine that induces immunity and can protect macaques from lethal avian influenza challenge with heterologous strains of influenza and suggest protection is linked to the generation of lung-resident influenza-specific CD4⁺ T cells.

Patients with classic Hodgkin lymphoma (cHL) respond well to PD-1 blockade, but the underlying cellular insights are still lacking. Here, the authors use single-cell transcriptome and spatial analyses to identify distinct circulating and tumor-infiltrating CD4⁺ T cell, B cell and IL1β⁺ monocyte/macrophage features associated with response to PD-1 blockade in cHL.

Current cell annotation methods using high-plex spatial proteomics data are resource intensive and demand iterative expert input. Here, the authors present MAPS (Machine learning for Analysis of Proteomics in Spatial biology), an approach that facilitates rapid and precise cell type identification with human-level accuracy from spatial proteomics data.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

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.

The immune response to SARS-CoV-2 infection is variable but has been linked to prognosis and the development of severe immunopathology. Here the authors assess a range of immune parameters in both peripheral blood and respiratory samples, providing a comparative assessment of the immune response between these compartments and their potential impact on immune-pathogenesis.

Isolation and optimization of antibodies targeting the malaria parasite may offer the potential for immediate protection as a prophylactic intervention to prevent severe disease.

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).

A number of natural occurring small-molecule splicing modulators are known. Here, the authors combine chemogenomic, structural and biochemical methods and show that these compounds also target the spliceosome-associated protein PHF5A and propose a potential modulator binding site in the PHF5A–SF3B1 complex.

Transcriptomic and proteomic analyses show that high levels of the extracellular-matrix protein osteopontin are associated with the attenuated foreign-body response elicited by breast silicone implants wrapped with acellular dermal matrix.

The spike protein of the Omicron variant of SARS-CoV-2 has a higher affinity for ACE2 than Delta, and a marked change in its antigenicity increases Omicron’s evasion of therapeutic and vaccine-elicited neutralizing antibodies.

Direct interaction of influenza virus with Gram-positive and Gram-negative bacterial pathogens of the respiratory tract results in increased bacterial adherence to respiratory epithelial cells in culture and in higher bacterial burdens in vivo.

Caspase-7 cleaves and activates acid sphingomyelinase (ASM), which promotes the repair of gasdermin pores and thereby delays pore-driven lysis to allow other processes such as extrusion or apoptosis to occur before cell death.

Giardia lamblia intestinal infection is independently associated with faltering linear growth in children in low-middle income countries, yet the mechanistic pathway has not been clearly identified. Authors utilise the MAL-ED cohort, and a gnotobiotic murine model, to explain Giardia-induced effects on childhood growth.

A dataset of the genomes of 363 species from the Bird 10,000 Genomes Project shows increased power to detect shared and lineage-specific variation, demonstrating the importance of phylogenetically diverse taxon sampling in whole-genome sequencing.

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 assessed COVID-19 social science preprints’ replicability using structured groups. Both beginners and more-experienced participants used a elicitation protocol to make better-than-chance predictions about the reliability of research claims under high uncertainty.

A study of SARS-CoV-2 variants examining their transmission, infectivity, and potential resistance to therapies provides insights into the biology of the Delta variant and its role in the global pandemic.

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.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

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.

A survey of SARS-CoV-2 RBD antibodies identifies those with activity against diverse SARS-CoV-2 variants and SARS-related coronaviruses, highlighting epitopes and features to prioritize in antibody and vaccine development.

The Vertebrate Genome Project has used an optimized pipeline to generate high-quality genome assemblies for sixteen species (representing all major vertebrate classes), which have led to new biological insights.

Spatial beta diversity analyses of mammalian fossil records from the East African Rift System reveal long-term biotic homogenization over the last six million years, a key time frame and context for human evolution.

In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.