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Succinate metabolism is reported to be involved in acute myeloid leukemia (AML) tumorigenesis. Here, the authors demonstrate that succinate receptor 1 (Sucnr1) restricts hematopoiesis via regulation of S100A9, counterbalancing the Sucnr1-independent tumorigenic effect of succinate in AML.

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).

Mapping of the neutrophil compartment using single-cell transcriptional data from multiple physiological and patological states reveals its organizational architecture and how cell state dynamics and trajectories vary during health, inflammation and cancer.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

iFlpMosaics are a compendium of mouse lines and genetic tools for tissue-agnostic generation and analysis of genetic mosaics.

Maldonado, Lopez-Hernandez, et al. use a matched case-control study to compare E. coli-infected patients with or without sepsis. Their analysis shows that the ST69 clone is associated with risk of sepsis development, and certain genetic factors such as adhesion genes papC and fdeC were associated with a protective effect.

Mass number measurements of the molecular species produced when ions of actinium (Ac) and nobelium (No) are exposed to trace amounts of H₂O and N₂ demonstrate direct species identification using an atom-at-a-time technique for heavy elements.

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.

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.

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.

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.

A benchtop fusion reactor, called the Thunderbird Reactor, is described, showing that electrochemically loading a metal lattice with deuterium could enhance nuclear fusion rates when that metal is also bombarded by deuterium ions.

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.

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.

Macrophages can differentiate to perform homeostatic tissue-specific functions. Here the authors show that RXR signalling is critical for large peritoneal macrophage (LPM) expansion during neonatal life and LPM lipid metabolism and survival during adult homeostasis, and that ovarian cancer growth relies on RXR-dependent LPMs. 

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.

Systemic sepsis is a potentially life-threatening illness and immunocompromised individuals are especially vulnerable. Here, using a cohort of patients with intra-abdominal origin sepsis, the authors show an important role for the NLRP3 inflammasome in establishing a host response, and NLRP3 dysfunction is a common feature of sepsis mortality.

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.

A human–SARS-CoV-2 protein interaction map highlights cellular processes that are hijacked by the virus and that can be targeted by existing drugs, including inhibitors of mRNA translation and predicted regulators of the sigma receptors.

Survey data collected across ten low-income and middle-income countries (LMICs) in Asia, Africa and South America compared with surveys from Russia and the United States reveal heterogeneity in vaccine confidence in LMICs, with healthcare providers being trusted sources of information, as well as greater levels of vaccine acceptance in these countries than in Russia and the United States.

Use of a longitudinal study design allows for more precise analysis of the interplay between clonal hematopoiesis and atherosclerotic disease, finding that whereas clonal hematopoiesis confers an increased risk of atherosclerosis, the reverse is not the case, arguing for a unidirectional effect of clonal hematopoiesis on atherosclerosis.

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.

Analysis of 2,170 SARS-CoV-2 sequences from the first wave of the COVID-19 epidemic in Spain provides insights into transmission patterns and the effects of lockdown on the emergence of new variants.

Enhanced IL-1β signaling pathway causes hematopoietic stem cell (HSC) to differentiate into myeloid cells and contributes to malignant hematopoiesis. Here the authors reveal that HSC differentiation is controlled by balanced levels of IL-1 receptor antagonist (IL-1rn) and IL-1β under steady-state, and that IL-1rn protects against pre-leukemic myelopoiesis by repressing IL-1β signaling.

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.

The molecular mechanisms underlying metastasis in pheochromocytoma/paraganglioma (mPPGL) remain to be explored. Here, the authors perform genomic and immunogenomic profiling of mPPGL tumors and suggest potential biomarkers for risk of metastasis and immunotherapy response.

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.

Genetic and Structural analysis of COVID patients cohort reveals a correlation between mitochondrial haplogroup and SARS-CoV-2 severity.

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.

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.

Fernández-Chacón et al. use imaging and scRNA-seq after targeting multiple Notch genes and angiogenic signaling pathways to find that the function of these pathways in vascular pathophysiology cannot be predicted by assessing transcriptional states.

Mucopolysaccharidosis type IVA (MPSIVA) is a lysosomal storage disorder causing severe skeletal and non-skeletal alterations in patients. Here, the authors generate a MPSIVA rat model that mimics the disabling human pathology and develop an AAV9-Galns gene therapy to treat the disease.

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.

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.

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.

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.

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.

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.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

IFNγ signaling is important in the pathogenesis and immune response, emphasizing the need for investigation of its role. Here, the authors show that IFNγ plays a key role in shaping immune microenvironment in AML and developing resistance, providing insights for potential therapeutic strategies.

Sand fly vector control strategies are limited. Here, Cecilio et al. use the bacteria Delftia tsuruhatensis TC1 to reduce the ability of sand flies to become infected with Leishmania parasites and effectively transmit them to mammalian hosts.

In this prespecified interim analysis of the KEYNOTE-756 phase 3 trial, pembrolizumab and chemotherapy treatment of patients with high-risk, early-stage, estrogen receptor-positive/human epidermal growth factor receptor-negative breast cancer improved the pathological complete response rate compared with chemotherapy alone.