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This paper identifies the ‘master regulators’ that maintain cell transcriptional states in diffuse midline gliomas and shows that targeting them in combination could represent a promising therapeutic avenue for the disease.

Genome-wide analyses identify genetic loci and plasma proteins associated with polycystic ovary syndrome (PCOS). This study highlights the hormonal and metabolic foundations of the disease and explores the impact of polygenic risk for PCOS in both sexes.

Microreactors are valued for efficient mixing and precise control in nanoparticle synthesis; however, when encapsulating sensitive proteins and enzymes, conventional fluidic shear causes serious damage and activity loss. Here, the authors show that gas-liquid slug-flow microchannels provide efficient mixing, narrow residence time distribution, and suitable shear compared to single-phase flow microchannels, microstructured continuous stirred-tank reactors, and batch reactors, reporting a low PDI and productivity equivalent to 100 lab-scale batch reactors for the preparation of catalase nanocapsules.

The authors demonstrate high-fidelity multi-tone electronic control of trapped-ion qudits up to d=8 levels, enabling efficient SU(d) operations and showcasing advantage by implementing Grover’s search algorithm using encoding in a single qudit, rather than in multiple qubits.

The Taiwan Precision Medicine Initiative recruited and genotyped more than half a million Taiwanese participants, almost all of Han Chinese ancestry, and performed comprehensive genomic analyses and developed polygenic risk score prediction models for numerous health conditions.

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.

Single-cell RNA sequencing reveals that iris muscle, derived from neuroectoderm, can form in stem cell–derived eye organoids – enabling the modelling of iris muscle pathologies like aniridia and proliferative vitreoretinopathy.

PPM1D is a known mediator of p53 signalling, and has been linked to treatment resistance in glioma. In this work, the authors utilise genomics, proteomics, and mouse models to determine the role of PPM1D in the development of diffuse midline glioma.

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.

Here, the authors sample air and surfaces in hospital rooms of COVID-19 patients, detect SARS-CoV-2 RNA in air samples of two of three tested airborne infection isolation rooms, and find surface contamination in 66.7% of tested rooms during the first week of illness and 20% beyond the first week of illness.

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.

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.

This report describes a 3D microelectrode array integrated on a thin-film flexible cable using traditional thin-film processing techniques and direct laser writing of 3D structures at micron resolution via two-photon lithography for neural recording.

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.

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.

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

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.

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.

Biomolecular phase separation arises from collective molecular interactions and is emerging as a key theme for biological function. Here the authors propose a broadly applicable method to quantify these interactions based on compositional and energetic parameters.

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.

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.

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.

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.

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.

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.

In this work the authors describe antimicrobial peptides (AMPs)-driven phase transitions of intracellular nucleic acids, whereby AMPs induce compaction and phase separation of nucleic acids, resulting in their sequestration and eventual cell death.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

Metal-organic frameworks (MOFs) have potential catalysis, filtration and sensing applications, but device fabrication will require controlled MOF growth. Here, α-hopeite microparticles are used to achieve spatial control of MOF nucleation, and accelerate MOF growth.

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.

Genetic exchange of Leishmania parasites in the sand fly host is mediated by natural IgM antibodies, providing insights that will help generate reproducible and increased recovery of backcrosses for research purposes.

Methods to directly label active neurons are still lacking. Here the authors develop CaMPARI2, a photoconvertible fluorescent protein sensor for neuronal activity with improved brightness and calcium binding kinetics, as well as an antibody to amplify the activated sensor signal in fixed samples.

A central concept for characterising phase-separating systems is the phase diagram but generation of such diagrams for biomolecular systems is typically slow and low-throughput. Here the authors describe PhaseScan, a combinatorial droplet microfluidic platform for high-resolution acquisition of multidimensional biomolecular phase diagrams.

Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is a rare cancer. Here, the authors develop a NLPHL specific model to identify 34 distinct cell states across 14 cell types that co-occur within 3 lymphocyte predominant ecotypes (LPEs) for 171 cases.

The driver mutations for the two main molecular subgroups of diffuse large B-cell lymphoma (DLBCL) are poorly defined. Here, an integrative genomics analysis identifies 3′ UTR NFKBIZ mutations within the activated B-cell DLBCL subgroup and small FCGR2B amplifications in the germinal centre B-cell DLBCL subgroup.

Strongly coupled light–matter systems could offer enhanced manipulation of topological phenomena. Now, tunable non-Hermitian effects are demonstrated with exciton–polaritons induced by a twist degree of freedom.

Liquid crystals are used for devices with increasingly complex geometries which makes it important to understand the influence of deformation. Xia et al. measure the poorly investigated saddle-splay elastic constant by means of surface patterning and simulation for programming emergent symmetries.