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Several transmission-blocking vaccine candidates based on Pfs230 and Pfs48/45 are in clinical development, but it remains unclear whether they will demonstrate high efficacy. Here, the authors develop a stabilized chimeric antigen presenting potent epitopes from Pfs230 and Pfs48/45 in a single construct and demonstrate induction of transmission-reducing antibodies when female mice are immunized with the antigen in a self-assembling protein nanoparticle formulation.

Across 21 societies, people alter their speech and song when interacting with infants. These infant-directed vocalizations are recognized by listeners. This suggests that forms of human vocalizations may be shaped by their functions.

Animals compose behaviors from both sensory cues and internal states. Calhoun et al. develop an unsupervised modeling framework to identify the dynamic internal states that shape social interactions in Drosophila and use the model to identify neurons that modulate the male’s internal state.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

A deep neural network with ‘knockout training’ is used to model sensorimotor transformations and neural perturbations of male Drosophila melanogaster during visually guided social behaviour and provides predictions and insights into relationships between stimuli, neurons and behaviour.

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.

Control over when to initiate or withhold vocalizations is essential for vocal turn-taking. Here the authors investigate vocal interactions in zebra finches and show that inhibition within the premotor nucleus HVC plays an important role in the precise timing of vocal motor responses.

Electrochromic materials are widely explored in energy-saving smart windows, yet combining fast switching, neutral black coloration, and robust long-term durability remains challenging. Here the authors report a solution processed n-doped poly(benzodifurandione) affording an electrochromic black window that overcomes these limitations.

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.

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.

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.

Theory predicts that adaptive mutations can have indirect negative effects on fitness. This study demonstrates how ‘adaptation begets adaptation’: changes to the sociogenetic environment accompanying rapid adaptation in wild crickets provoked genome-wide compensatory adaptation.

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.

Reinforcement signals indicating success or failure are known to alter the probability of selecting between distinct actions. Here the authors examine the structure of learning at a millisecond timescale, suggesting that reinforcement can also guide learning of continuous action trajectories.

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 Bengalese finches, a basal ganglia circuit, the anterior forebrain pathway, can covertly acquire the ability to adaptively modify song without contributing to song production during practice or training.

The genome of the zebra finch — a songbird and a model for studying the vertebrate brain, behaviour and evolution — has been sequenced. Comparison with the chicken genome, the only other bird genome available, shows that genes that have neural function and are implicated in the cognitive processing of song have been evolving rapidly in the finch lineage. Moreover, vocal communication engages much of the transcriptome of the zebra finch brain.

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.

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

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 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 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.

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.

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.

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.

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.

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.

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.

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.

Song et al. developed a computational tool to profile binding pairs between tumor-derived antigens and antibodies from high-throughput B cell receptor sequencing data, predicting response to immune-checkpoint inhibitor therapy and risk of adverse events.

Starble, Sun, and colleagues identify an epigenetic priming mechanism that promotes oncogene amplification in acquired resistance to tyrosine kinase inhibitors and establishes a role of METTL7A in this process.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

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

Swanton and colleagues present a clonal expression signature, ORACLE, which, in combination with clinicopathological and molecular risk factors, can predict survival of patients with lung adenocarcinoma, and they prospectively validate its prognostic value.

HNF1B is overexpressed in the clear cell subtype and epigenetically silenced in the serous subtype of ovarian cancer. Pearce and colleagues now show that genetic variants in HNF1B are differentially associated with risks of developing these two cancer subtypes, possibly through an epigenetic mechanism.

Experimental systems in which non-trivial topology is driven by spontaneous symmetry breaking are rare. Now, topological gaps resulting from two excitonic condensates have been demonstrated in a three-dimensional material.

Jayavelu, Samaha et al., apply machine learning models on hospital admission data, including antibody titers and viral load, to identify patients at high risk for Long COVID. Low antibody levels, high viral loads, chronic diseases, and female sex are key predictors, supporting early, targeted interventions.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

Regioselective functionalization of aliphatic carbon–hydrogen bonds is achieved using frustrated radical pairs generated from disilazide donors and an N-oxoammonium acceptor.

Preventing endosomal damage sensing or using lipids that create reparable endosomal holes reduces inflammation caused by RNA–lipid nanoparticles while enabling high RNA expression.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

Heavily doping silicon with phosphorus produces a dense population of metallic conduction electrons and localized magnetic moments. Low-temperature measurements show evidence of strongly correlated state.

Single cell analysis of histologic variant bladder tumors detects a shared CA125+ tumor cell state associated with aggressive clinical features and reveals enriched expression of TM4SF1, a membrane protein that can be targeted with CAR T cells.

Induced proximity by molecular glues is a strategy that leverages the recruitment of proteins to facilitate their modification or degradation. Here the authors present unbiased quantitative proteomic, biochemical and computational workflows that uncover hundreds of CRBN molecular glue targets using recombinant protein and cell lysate.

Stig Bojesen, Georgia Chenevix-Trench, Alison Dunning and colleagues report common variants at the TERT-CLPTM1L locus associated with mean telomere length measured in whole blood. They also identify associations at this locus to breast or ovarian cancer susceptibility and report functional studies in breast and ovarian cancer tissue and cell lines.