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The existence of phosphatases specialized in regulating the axon initial segment (AIS) was unclear. Here, the authors show that a PP2A-B55 subunit is selectively enriched at the AIS and contributes to its local phospho-regulation.

As Nature Aging celebrates its fifth anniversary, the journal asks some of the researchers who contributed to the journal early on to reflect on the past and the future of aging and age-related disease research, the impact of the field on human health now and in the future, and what challenges need to be addressed to ensure sustained progress.

Newly emerging SARS-CoV-2 variants underscore the need for broad-spectrum antiviral solutions. This study shows a macrocyclic peptide inhibitor that locks the SARS-CoV-2 spike trimer into a “closed” conformation by engaging a conserved region, and demonstrates that intranasal administration of the peptide inhibitor protects against Omicron variants.

Wei et al. perform spatial transcriptomic profiling on synovial tissue biopsy samples from individuals with recent-onset rheumatoid arthritis, finding TGFβ signaling and fibrogenic fibroblast activation drive a treatment-refractory tissue phenotype.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Little millet is an orphan crop offering a promising yet underutilized option in the pursuit of food and nutritional security. Here, the authors report its genome assembly, and elucidate its recent tetraploid structure, sub-genome dominance, and the genetic basis for micronutrient content.

Many genetic loci have been identified to be associated with kidney disease, but the molecular mechanisms are not well understood. Here, the authors perform epigenome-wide association studies on kidney function measures to identify epigenetic marks and pathways involved in kidney function.

Systems of electron spins in nuclear-spin-rich hosts are gaining attention for quantum memory applications. Using spin ensemble studies, the authors propose transition metal ions in halide double perovskites as promising candidates, featuring long electron spin coherence and deterministic nuclear spin control.

Wang, Huang, Nelson, Gao, and colleagues perform a head-to-head comparison of multiple platforms for imaging spatial transcriptomics, determining their relative sensitivity, specificity, and ability to identify major cell types in clinical pathology samples.

Serum urate concentration can be studied in large datasets to find genetic and epigenetic loci that may be related to cardiometabolic traits. Here the authors identify and replicate 100 urate-associated CpGs, which provide insights into urate GWAS loci and shared CpGs of urate and cardiometabolic traits.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

The neural mechanisms driving seizure development in peritumoral brain regions remain incompletely defined. Here, using patient tissue, glioma mouse model, and computational simulation, the authors identify early pathological activities that are predictive of tumor-associated seizures.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

In a comprehensive dataset from 3,652 patients across 20 centers in eight countries, an ultrasound-based AI model shows robust performance across centers, ultrasound systems, 58 histological diagnoses and patient age groups and reduced referral to experts by 63% in a retrospective triage simulation.

The functional relevance of neural timescales is not fully understood. Here the authors demonstrate that neural timescales change with behavioral demands in freely moving macaques.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

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.

Multi-omics profiling of diverse cancer cachexia models uncovers a multi-tissue metabolite-coordinated response associated with disease progression and links multi-tissue one-carbon metabolism to wasting.

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.

In this work, authors utilise comparative transcriptomics to reveal lncRNAs that distinguish pathogen-specific from core macrophage responses. They identify a Q fever-specific AHR-regulated CYP1B1-AS1/CYP1B1 axis that modulates mitochondrial homeostasis and survival of Coxiella burnetii.

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.

How gene expression timing is regulated during development remains a key area of research. Here they show that zebrafish genome activators Pou5f3 and Nanog block each other’s activity on the enhancers of differentiation genes, preventing their premature expression.

The interplay between properties of quantum correlation and learning sample complexity in bosonic quantum systems is currently unclear. The authors prove efficient learning for broad classes of non-Gaussian bosonic quantum states, identify the precise onset of exponential hardness in tomography, and uncover fundamental constraints on creating complex entangled photon states via optical interference.

Resistance to first line treatment is a major hurdle in cancer treatment, that can be overcome with drug combinations. Here, the authors provide a large drug combination screen across cancer cell lines to benchmark crowdsourced methods and to computationally predict drug synergies.

Wastewater surveillance could provide a means of monitoring SARS-CoV-2 prevalence that does not rely on testing individuals. Here, the authors report results from England’s national wastewater surveillance program, use it to estimate prevalence, and compare estimates with those from population-based prevalence surveys.

Estimates of infection rates from the UK COVID-19 Infection Survey may have been biased by the characteristics of people who chose to take part. Here, the authors show that the survey population had unusually high vaccination rates and adjust infection estimates taking this into account.

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.

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.

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.

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.

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.

A multi-ancestry genome-wide gene–smoking interaction study identifies 13 new loci associated with serum lipids.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.