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In a large, partially prospective cohort of patients with molecularly profiled and clinically annotated meningioma, the extent of surgical resection and radiotherapy (RT) response correlate with molecular classification, which can be used in a molecular model to predict clinical outcomes in response to RT.

Here the authors show that gut metagenomes of Indigenous Australian infants living remotely, display greater diversity and abundance of bacteria, viruses and fungi, compared to non-Indigenous infants living in urban Australia, suggesting that while having access to Western foods, the infants start life with a gut microbiome that retains key features of pre-industrialized societies.

Using data from the CoVPN 3008 study, the authors show that the neutralizing antibody correlate of risk holds in people living with HIV. However, the nAb correlate was weaker and shorter-lived in a vaccine-immunity versus hybrid-immunity population.

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).

Trade-offs are common during evolutionary innovation. Here, the authors show that multicopy plasmids allow coexistence of the ancestral and evolved alleles in the TEM-1 β-lactamase system, helping bacteria to escape evolutionary constraints imposed by trade-offs.

In an analysis of adult patients with hematologic malignancies who received anti-CD19 chimeric antigen receptor T cell therapy, baseline gut microbiome composition was correlated with clinical response and treatment with broad-spectrum antibiotics in the four weeks prior to infusion was associated with worse survival and increased neurotoxicity.

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.

Here, Caballero et al. provide an in depth characterisation of patients colonized with single or mixed strains of Pseudomonas aeruginosa to demonstrate the impact of within-host diversity on the development of antibiotic resistance.

Coral reefs are productive ecosystems due to high levels of nutrient recycling in which fishes play a critical role. This study shows fishing can reduce the amount of nutrients supplied and stored by fishes to coral reefs by nearly half, even when the number of fish species present is largely unchanged.

Efforts to identify microbial signatures of response to immune checkpoint blockade suggest that strain-level associations may be cancer type agnostic but cancer therapy specific.

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 Human Microbiome Project Consortium reports the first results of their analysis of microbial communities from distinct, clinically relevant body habitats in a human cohort; the insights into the microbial communities of a healthy population lay foundations for future exploration of the epidemiology, ecology and translational applications of the human microbiome.

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.

Productive influenza infection can be improved by cooperation and this varies between viral strains and hosts. By quantifying the rates of reassortment and virus production using several methods, including single-cell sequencing, the authors find that isolates of the avian H9N2 influenza subtype are dependent on infections with a second virus, but only in mammalian cells and not in avian cells. These findings are supported by in vivo experiments in guinea pigs and quail. The authors find indications that this type of cooperation between influenza A viruses depends on the RNA polymerase subunit PA.

The enzyme ABHD18 is shown to have a key role in cardiolipin metabolism in mitochondria, offering a potential route for a small-molecule treatment of the rare genetic disease Barth syndrome.

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.

An immune signature characterized by activated antigen-specific CD8 T cells is identified in the brain and blood of mice with amyotrophic lateral sclerosis-4 (ALS4), suggesting that the immune system is involved in ALS4 neurodegeneration.

A long- and short-read barley pan-transcriptome assembled from 20 diverse barley genotypes offers insights into genotype- and tissue-dependent gene expression and function.

Interviews with leading scientists highlight several notable breakthroughs in computational biology from the past year and suggest areas where computation may drive biological discovery.

The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.

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.

A wireless device for measuring bioimpedance during breastfeeding allows accurate quantification of the volume of expressed milk in 12 new mothers in a neonatal intensive care unit and in home settings.

Printed biosensors are important for health monitoring and research purposes. Here, the authors report on the development of a soft poroelastic silicone based sensor which can be easily printed and is resistant to mechanical strain hysteresis, allowing for more accurate electrophysiology readings and imaging.

BRCA1 and BRCA2 are well known breast cancer predisposition genes, however, many variants have not yet been classified for their pathogenicity. Here, the authors analyse a large combined cohort to provide evidence of variant pathogenicity.

Macrophage infiltration and metabolic rewiring are associated with glioblastoma. Here the authors show that the glycolytic enzyme lactate dehydrogenase-A mediates macrophage-cancer cell crosstalk to promote glioblastoma progression.

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

Controlling the crystallographic registry of layered materials through interlayer twist angles has introduced a distinctive degree of freedom for tuning their electronic behaviour. Now, the interfacial electrochemical kinetics of solution-phase redox complexes at twisted bilayer graphene electrodes have been modulated by the angle-dependent tuning of moiré-derived flat bands.

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.

Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.

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.

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.

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.

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.

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.

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.