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The pressures faced by lab leaders to be excellent researchers, teachers, managers, accountants and mentors can exact a heavy toll.

Scientists who don’t consistently publish great papers and attract bumper funding are often overlooked, say campaigners for healthier lab environments.

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.

Lampert et al. use a game theoretic approach to study conditions in which vaccine-rich countries might donate vaccines. They find that if the total amount of surplus vaccines is sufficiently large, coordination can lead to significant surplus donations even by strictly self-interested vaccine-rich countries.

Scvi-hub is a versatile and efficient platform for model-based analysis of single-cell sequencing studies with access to a diverse array of datasets and downstream analysis.

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.

Although ferroptosis, an iron-dependent form of regulated cell death, is emerging as a therapeutic vulnerability in cancer, clinical translation is hindered by context-dependent regulation, a lack of predictive biomarkers and challenges in clinical trial design. In this Review, Wahida and Conrad examine the biological basis of ferroptosis, including its immunogenic potential, and outline the necessary steps towards translating ferroptosis-based therapies into the clinic.

The XRISM Resolve spectrum of the galactic neutron star X-ray binary, GX 13+1, reveals one of the densest winds ever seen in absorption lines.

An expert recommendation is presented for the design and evaluation of research studies using transcranial electrical stimulation, resulting in the selection of a 66-point checklist aimed at improving the quality of transcranial electrical stimulation studies.

Lipid particles loaded with RNA coding for tumour-unspecific antigens can enhance early responses of type-I interferons, mediating the success of immune checkpoint inhibitors as well as epitope spreading.

Shen et al. show that pre-existing neural similarity in strangers predicts future friendship and changes in social distance over time in an emerging social network of MBA students.

Two researchers with direct experience of online abuse describe its impact, coping strategies, and how it compares to other types of harassment.

Historical ecology uses a wide and varied range of sources to investigate long-term dynamics of ecosystems, species and their traits, and different dimensions of nature–human interactions. This Perspective discusses the value of this approach for biodiversity and conservation science, and offers a strategy for the continued development of the field.

Fault tolerance is essential for reliable AI acceleration using novel memristive hardware. Yousuf et al. developed a training-free fault tolerance scheme and demonstrated on a 20,000-memristor prototyping platform that it outperforms other solutions.

This Analysis estimates the health benefits and economic value of enhancing social determinants of mental health in Brisbane South, Australia, home to 1.2 million people. Crosland et al. analyze the impact of a 5% improvement in social cohesion, childhood difficulties, substance misuse, unemployment, underemployment, homelessness and staying engaged with education over 11 years.

Flores et al. show that brain-penetrant eIF2B agonists suppress ISR activation in cellular and mouse models of ALS and reduce ISR biomarkers in humans, enabling further clinical studies of ISR inhibition in individuals with neurological diseases

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).

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.

What is the state of trust in scientists around the world? To answer this question, the authors surveyed 71,922 respondents in 68 countries and found that trust in scientists is moderately high.

The Pliocene–early Pleistocene interval was characterized by climatic fluctuations. Here, the authors apply a bipartite network analysis to a database of planktic foraminifera, finding localized community restructuring through this interval.

The REX element is associated with long-range enhancer–promoter interactions.

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.

Pocock et al. reveal that transient activation of 5′ AMP-activated protein kinase and estrogen-related receptor drives robust maturation of multicellular human cardiac organoids, enabling modeling of desmoplakin cardiomyopathy dysfunction, which could be rescued using the bromodomain and extra-terminal inhibitor INCB054329.

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.

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.

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.

Whole-genome sequences and field experiments focusing on the global invasive forage crop, Trifolium repens, show high levels of genetic variation across continents and parallel signatures of selection in five haploblocks.

Data collected from more than 2,000 taxa provide an unparalleled opportunity to quantify how extreme wildfires affect biodiversity, revealing that the largest effects on plants and animals were in areas with frequent or recent past fires and within extensively burnt areas.

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

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

Engineering quantum states requires precise manipulations at the atomic level. Here, the authors use deep reinforcement learning to manipulate Ag adatoms on Ag surfaces, which combined with path planning algorithms enables autonomous atomic assembly.

Superatoms are metal clusters that collectively behave like an atom, but they usually require metal–metal bonding and thus they are based on main group or transition metals. Now it has been shown that trithorium nanoclusters with delocalized three-centre-one-electron thorium–thorium bonding exhibit exalted diamagnetism. This unveils actinide superatoms that exhibit open-shell jellium aromaticity.

An expert-elicitation process identifies current methodological barriers for monitoring terrestrial biodiversity, and how technological and procedural development of robotic and autonomous systems may contribute to overcoming these challenges.