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Human gut bacteria bioaccumulate per- and polyfluoroalkyl substances (PFAS), commonly known as forever chemicals, in intracellular aggregates. Colonization of gnotobiotic mice with bioaccumulating bacteria increases faecal PFAS excretion.

Deconwolf is a computationally efficient and user-friendly software tool for fluorescence microscopy image deconvolution that improves the analysis of diverse fluorescence in situ hybridization methods and can handle large datasets.

Saloner et al. used large-scale cerebrospinal fluid proteomics to uncover molecular signatures in frontotemporal dementia, revealing RNA splicing and synaptic protein candidate markers for genetic and sporadic disease progression.

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.

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 deep learning–based algorithm enables efficient reconstruction of light-field microscopy data at video rate. In addition, concurrently acquired light-sheet microscopy data provide ground truth data for training, validation and refinement of the algorithm.

Tau pathology drives neuronal dysfunction in 4- repeat tauopathies. Here, the authors combine tau-PET, resting-state fMRI and histopathology data, to show that brain connectivity is associated with tau deposition patterns in 4-repeat tauopathies.

Opacities are considered to be the source of the disagreement between theoretical solar models and helioseismic data. Here, the authors show solar opacity profiles derived from seismic inferences, which differs from theoretical values used in the solar models.

Our current understanding of neurofibromatosis type 1 (NF1) is based on patients ascertained through phenotype-first approaches, which estimate a low prevalence at 1 in 3,000. Here, the authors leverage a genotype-first approach in multiple large patient cohorts to demonstrate an unexpectedly high prevalence (1 in 1,286) of NF1 pathogenic variants with distinct disease associations.

As part of Mobile WACh NEO, a parallel, unblinded, randomized controlled trial at six health facilities across Kenya, a text messaging communication intervention had no effect on neonatal mortality compared to standard of care.

Nageotte nodules in the dorsal root ganglia were first described 100 years ago, but little is known about them. Here, the authors link Nageotte nodules to neurodegeneration in diabetic neuropathy in humans and describe their molecular composition.

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.

The bacterial pathogen Chlamydia trachomatis replicates within a vacuole known as an inclusion. Here, Linton et al. show that in multiply infected cells, apposing inclusions form unique membrane-contact sites that regulate membrane fusion.

The V1-V2 loops of the HIV envelope protein play an important role in HIV vaccine development. Here, Rahman et al. demonstrate in macaques that the efficacy of V1-deleted envelope vaccines, abrogated by oral delivery of control nanoparticles, is rescued by nanoparticles carrying V2 scaffold peptide strengthening the mucosal V2-specific response.

Paul Pharoah and colleagues report the results of a large genome-wide association study of ovarian cancer. They identify new susceptibility loci for different epithelial ovarian cancer histotypes and use integrated analyses of genes and regulatory features at each locus to predict candidate susceptibility genes, including OBFC1.

Bilayer graphene is known to host states where interactions dominate the electronic behaviour. Now, transport measurements show that this is also true for trilayer graphene and give evidence for ferroelectric states and states with high Chern number.

Openshaw and colleagues find myeloid inflammation and complement activation signatures in patients with long COVID who were previously hospitalized.

A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.

Meta-analyses in up to 1.3 million individuals identify 87 rare-variant associations with blood pressure traits. On average, rare variants exhibit effects ~8 times larger than the mean effects of common variants and implicate candidate causal genes at associated regions.

Known genetic loci account for only a fraction of the genetic contribution to Alzheimer’s disease. Here, the authors have performed a large genome-wide meta-analysis comprising 409,435 individuals to discover 6 new loci and demonstrate the efficacy of an Alzheimer’s disease polygenic risk score.

BrxX methylase in complex with SAM cofactor mediates foreign DNA recognition by the BREX system. BrxX can be engineered to modify BREX specificity and enhance defense. BREX defense and methylation require assembly of supramolecular BrxBCXZ complex.

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.

Oestrogen negative breast cancer is associated with a poor prognosis. In this study, the authors perform a meta-analysis of 11 breast cancer genome-wide association studies and identify four new loci associated with oestrogen negative breast cancer risk. These findings may aid in stratifying patients in the clinic.

Smart grids are characterized by fast-acting, intelligent control while reconfiguration and load shedding are emergency control techniques needed during outages. Here, authors present a graph reinforcement learning approach to manage outage and notably improve resilience in distribution networks.

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.

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.

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.

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 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.

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.

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.

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.