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It remains unclear whether machine learning methods can accurately identify cancer driver alterations. Here, the authors compare machine learning-based approaches to other computational methods to determine their utility for annotating variants of unknown significance and identifying driver alterations in real-world cancer patient data, demonstrating superior performance.

Rizzollo et al. show that BDH2 participates in iron distribution between cellular compartments, which sets the threshold for the ferroptosis vulnerability of the melanoma cell phenotypes, ultimately affecting their metastatic capacity

A significant barrier to the mass adoption of electric vehicles is the long charge time (>30 min) of high-energy Li-ion batteries. Here, the authors propose a practical solution to enable fast charging of commercial Li-ion batteries by combining thermal switching and self-heating.

Here the authors identify hotspots for wetland carbon uptake and regions where wetland carbon sinks are most susceptible to hydrological shifts. They show that two decades of improved carbon sinks in northern mid- to high-latitude wetlands are offset by declining efficiencies elsewhere.

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.

Electric vehicles are increasingly adopted in the USA, with concurrent expansion of charging infrastructure and electricity demand. This Review details these trends and discusses their drivers and broader implications.

Using large cohorts from published clinical trials involving more than 8,000 patients with multiple sclerosis, a probabilistic machine learning model reconstructs the transition probabilities from data-derived diseases statuses, showing patterns that suggest how progression to severe stages occur and potential inversion of the process.

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.

Thermal fluctuations inside batteries limit their performance and pose various safety hazards. Here, the authors develop a shape memory alloy-based thermal regulator that stabilizes battery temperature in both hot and cold extreme environments.

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.

LYMTACs are heterobifunctional small molecules that take advantage of lysosomal membrane proteins to degrade membrane targets via relocalization and lysosomal degradation, offering a modular approach to drug otherwise intractable membrane proteins.

SARS-CoV-2 rebound is a recurrence of symptoms or return to test positivity after initial recovery. Here, the authors demonstrate an association between SARS-CoV-2 rebound and post-acute COVID conditions using data from Hong Kong.

Electrification is a promising way to decarbonize the chemical industry but could also have important effects on power systems. Here the authors assess the impact of electrifying the production of methanol and ammonia on the Chinese power system in terms of emissions and potential security risks.

With nature in cities, as with the chemicals we ingest, the dose can make the difference. This analysis looks across other studies to find that, in practice, a moderate ‘dose’ of urban greenness provides the greatest mental health benefits.

This study maps the connections of layer 5 pyramidal neurons in the mouse cortex, revealing distinct local and intercortical wiring patterns, and provides an open framework for exploring the connectivity of cell types.

The gH-associated tropism and entry (GATE) complex consists of glycoprotein H, UL116 and UL141. This complex is abundant on human cytomegalovirus virions and enables entry into human endothelial cells.

It is challenging to exploit anionic redox activity to boost performance of battery electrodes, especially for anti-fluorite structures. Here the authors report simultaneous anionic and cationic redox in Li₅FeO₄, which enables its high capacity and eliminates the undesired oxygen gas release.

Metal-fluoride-based lithium-ion battery cathodes are typically classified as conversion materials because reconstructive phase transitions are presumed to occur upon lithiation. Metal fluoride lithiation is now shown to be dominated instead by diffusion-controlled displacement mechanisms.

Cryptands and related molecules are macrocyclic polyethers capable of strongly binding cations. Here, the authors use orthoester exchange for the dynamic one-pot synthesis of crypates, which can bind cations and, given their constitutionally dynamic nature, can also be decomposed to release their guest.

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.

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.

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.

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.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

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.

Finding new thermoelectric materials that can achieve high performance is vital to realizing the potential of future energy harvesting technology. Here, through computation methods, the authors identify two high-performance full-Heusler thermoelectric compounds with high intrinsic band degeneracy.

An innovative method using superconducting sensors precisely measures the recoil energy of lithium-7 nuclei, setting a lower limit on the spatial extent of neutrino wavepackets, advancing understanding of neutrino properties and weak nuclear decays.

Aided by advanced electron microscopy, the authors imaged dissociated dislocations in Li₂MnO₃ during an initial charge to 5 V. Such defects possess high gliding and transverse mobility and prompt O₂ release. This work provides fresh insights into the defect chemistry of cathode materials for batteries.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

To better understand the etiology of frailty, the authors perform a large genetic study. They identified 45 additional variants and implicated MET, CHST9, ILRUN, APOE, CGREF1 and PPP6C as potential causal genes, linking frailty to immune regulation, metabolism and cellular signaling.