Search

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

An atomic stencilling method based on the co-adsorption of iodide and 2-naphthalenethiol on gold is described, yielding more than 20 different types of nanoparticle with masked and painted regions and patchy particle morphologies not reported previously.

High-density multimodal soft bioelectronic fibres provide a platform for minimally invasive implantable electronics, where diverse sensing and stimulation functionalities can be effectively integrated.

In the CheckMate 142 study, nivolumab (anti-PD-1) alone and in combination with ipilimumab (anti-CTLA-4) was shown to induce durable clinical benefit in patients with previously treated microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer. Here, the authors perform exploratory biomarker analysis of the CheckMate 142 study.

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.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

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.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

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.

Microstructured air-core optical fibre provides unprecedented low-loss transmission of light signals over a broad wavelength window.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

IP6 is a critical host cofactor for HIV-1 assembly and infectivity. In this study, the authors uncover the structural basis by which HIV-1 adapts to a deficiency in IP6 packaging through a G225R mutation at the C-terminus of the capsid protein.

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.

This study integrates polygenic risk scores with four emulated clinical trials using FinnGen data and shows the feasibility of this approach while highlighting potential pitfalls.

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.

Species’ traits and environmental conditions determine the abundance of tree species across the globe. Here, the authors find that dominant tree species are taller and have softer wood compared to rare species and that these trait differences are more strongly associated with temperature than water availability.

The ability to resist compaction has widespread implications for reverse osmosis (RO) membrane technology. Here the authors present a class of thin-film crosslinked composite reverse osmosis membranes that resist physical compaction at ultrahigh pressures.

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.

In this work, authors utilise a prefractionation natural product extract screening platform, which uncovers coniotins, lipopeptaibiotics with broad antifungal activity and a mechanism of action that targets fungal cell wall β-glucan.

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

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.

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.

The authors previously developed a mouse model ABab-A2 transduced with complete human TCR gene loci and HLA-A*02:01, termed ABab-A2 mice. Here the authors introduce a complete HLA-I haplotype into ABab-A2 mice and make the ABab-I mice, which manifest higher peripheral CD8 counts, broader TCR repertoire and stronger epitope response compared to ABab-A2 mice.

Observations of SN 2021yfj reveal that its progenitor is a massive star stripped down to its O/Si/S core, which remarkably continued to expel vast quantities of silicon-, sulfur-, and argon-rich material before the explosion, informing us that current theories for how stars evolve are too narrow.

Going from model development to a pilot implementation study, a deep learning model shows that acute aortic syndrome can be diagnosed directly from noncontrast CT, increasing accuracy and decreasing time to diagnosis.

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.

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.

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 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.

Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

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.

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.

Parhizkar et al. show that lemborexant, an orexin receptor antagonist, protects against neurodegeneration in male tau transgenic mice by preventing tau protein build-up and inflammation, highlighting its potential for preventing neurodegeneration.

Every spring, Bogong moths use the starry night sky as a compass to navigate up to 1,000 km towards their alpine migratory goal.

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.

Programmable topological dipoles could be used in stimuli-responsive materials. Now it is shown that confinement of an apolar liquid crystal results in controllable polar arrangements of elastic dipoles.

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.

Single-cell and spatial transcriptomics analysis of stricturing Crohn’s disease highlights cellular heterogeneity in fibrotic tissue and identifies neighborhoods of fibroblasts and immune cells contributing to this severe disease complication.

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.

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.

Super spreading events are considered important contributors to the spread of COVID−19, but the extent to which superspreading varies by transmission setting is unclear. Here, the authors demonstrate heterogeneity in superspreading and the generation interval between COVID−19 cases in different settings using data from Hong Kong.

The authors present a multiomics study of type 2 diabetes and quantitative blood lipid and lipoprotein traits in Hispanic/Latino populations. They demonstrate how integrating GWAS with omics characterization can advance precision medicine.

In a prospective study involving 92 physicians from multiple institutions, access to large language model assistance on top of conventional resources increased a score expressing the quality of their reasoning in addressing patient care while assessing five clinical vignettes.

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.

Sehgal et al. report Systems Age as a framework to capture within-person heterogeneity in aging using a single blood-based epigenetic assay that measures aging across 11 body systems and identifies aging subtypes, enabling personalized prediction of disease risk and tailoring of longevity interventions.

A multi-ancestry meta-regression study analyses diverse genome-wide association studies and genome loci associated with tobacco and alcohol use.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

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

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.

The results of the Fifth RNA-Puzzles contest highlights advances in RNA three-dimensional structure prediction and uncovers new insights into RNA folding and structure.