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Huang et al. demonstrate an electrically controlled Fe–FePc molecular spin switch that reversibly changes its magnetic state and shifts a nearby spin’s resonance, showing potential of scalable, electrically tunable molecular quantum devices.

GABA_B receptors are the G-protein-coupled receptors for γ-aminobutyric acid (GABA), the main inhibitory neurotransmitter in the brain. Here, functional proteomics is used to show that GABA_B receptors in the brain are complexes of GABA_B1, GABA_B2 and members of a subfamily of KCTD proteins. The KCTD proteins increase the potency of agonists and markedly alter the G-protein signalling of the receptors, suggesting that they determine the pharmacology and kinetics of the receptor response.

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.

Molecular complexes can function as spin qubits, and like other qubit architectures, making molecular spin qubits more resilient against interactions is vital for their use. Here, Huang et al present a molecular complex consisting of iron phthalocyanine, and an adjacent Fe atom, which together form a mixed-spin (1/2,1) quantum ferrimagnet, with improved spin lifetimes.

Survival outcomes in Burkitt lymphoma differ between adult and paediatric patients. Here, the authors show differences in mutational frequencies between age groups, and a transition between mutational profiles which occurs between 25 and 40 years.

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.

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 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.

Colour centres are a promising quantum information platform, but coherence degradation after integration in nanostructures has hindered scalability. Here, the authors show that waveguide-integrated V_Si centres in SiC maintain spin-optical coherences, enabling nuclear high-fidelity spin qubit operations.

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.

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The suppression of edge-localized modes in tokamak plasmas is crucial to prevent them from damaging the walls of the chamber. Now experiments confirm the role that magnetic islands play in suppressing these detrimental modes.

Müller-Tidow and colleagues demonstrate that hotspot DNMT3A mutations found in clonal hematopoiesis and acute myeloid leukemia render cancer cells sensitive to the DNMT1 inhibitor azacitidine through focal DNA demethylation, viral mimicry and interferon activation.

Bone marrow-derived cells can rapidly enter the systemic circulation, but how this is achieved is unclear. Grüneboom et al. identify tiny capillaries, termed trans-cortical vessels (TCVs), that connect the bone marrow cavity to the systemic vasculature, and show that the majority of blood in long bones passes through TCVs.

Integrins are cell adhesion receptors involved in a variety of signalling processes and are targeted by a number of bacterial and viral pathogens for adhesion or invasion. The gastric pathogen Helicobacter pylori's pilus protein CagL interacts with integrin, which subsequently triggers translocation and phoshorylation of the bacterial effector CagA.

The new European X-Ray Free-Electron Laser (EuXFEL) is the first XFEL that generates X-ray pulses with a megahertz inter-pulse spacing. Here the authors demonstrate that high-quality and damage-free protein structures can be obtained with the currently available 1.1 MHz repetition rate pulses using lysozyme as a test case and furthermore present a β-lactamase structure.

Proteasomal degradation of EZH2 in AML patients in response to therapy triggers the expression of stem cell markers and has been identified as an epigenetic pathway leading to acquired drug resistance. Treatments aimed to restore EZH2 expression in relapsed AML patients have shown clinical efficacy and constitute a viable approach to re-sensitize tumors to chemotherapy.

Zhou et al. show that in the context of AML1-ETO-driven leukaemia, AES and DDX21 induce small nucleolar RNA (snoRNA)–ribonucleoprotein (RNP) formation and this is important for self-renewal of leukaemic cells.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

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

An international consortium reports the genomic sequence for ten Drosophila species, and compares them to two other previously published Drosophila species. These data are invaluable for drawing evolutionary conclusions across an entire phylogeny of species at once.