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Execution of mRNA cleavage in nonsense-mediated decay remained elusive. The authors show that SMG5 complements SMG6 to form a highly active, composite endonuclease with expanded catalytic center that enables regulated substrate cleavage.

The Vertebrate Genome Project has used an optimized pipeline to generate high-quality genome assemblies for sixteen species (representing all major vertebrate classes), which have led to new biological insights.

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.

Kerstin Meyer and colleagues analyze a breast cancer gene regulatory network generated using publicly available expression and ChIP-seq data sets. They identify a cluster of 36 regulons that are significantly enriched for known breast cancer risk-associated genes and propose the use of regulon activity for patient stratification.

Human encroachment into nature alters species communities and can lead to changes in disease dynamics. Here, Meyer et al. find that coronavirus prevalence increased in less diverse bat communities, which were dominated by susceptible host species.

Using multiplexed spatially resolved transcriptomic approaches, the authors generate a topographic atlas of the healthy adult lung with location-related gene expression variability or neighbourhood changes as exemplified by COPD patient sample analysis.

Epicardial engineered heart muscle allografts from induced pluripotent stem cell-derived cardiomyocytes can safely and effectively remuscularize chronically failing hearts in rhesus macaques, leading to improved cardiac function and paving the way for human clinical trials.

Transcriptomic and proteomic profiling of blood samples from individuals with COVID-19 reveals immune cell and hematopoietic progenitor cell alterations that are differentially associated with disease severity.

This research quantifies hospital admissions in Shanghai for mental and behavioral disorders linked to humid heat, projecting a 68.2% increase by the 2090s under high greenhouse gas emissions and emphasizing the importance of mitigation strategies to reduce future morbidity burdens.

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

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.

Mechanisms explaining the milder clinical syndrome that is observed in children with SARS-CoV-2 infection.

Age-specific differences upon SARS-CoV-2 infection are marked by emergence of goblet 2 inflammatory cells expressing antiviral interferon stimulating genes in paediatric nasal cultures, and basaloid-like cells with increased viral spread in cultures from older adults.

Atypical teratoid/rhabdoid brain tumours are characterized by loss of chromatin remodelling complex member SMARCB1. Here, using a genetic screen in Drosophila, the authors identify a number of genes involved in the detrimental effects of SMARCB1 deficiency.

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 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.

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.

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.

A vascular cell atlas integrating single-cell data of 19 organs and tissues from 62 donors identifies angiotypic and organotypic characteristics of endothelial and mural cells.

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.

The murine G protein-coupled receptor 83 (Gpr83) is expressed widely in the brain, but its physiological role is largely unknown. Here Müller et al.show that Gpr83 regulates systemic energy metabolism in part by modulating ghrelin signalling in the arcuate nucleus of the hypothalamus.

FGFR2 gene variation is associated with breast cancer risk but the molecular mechanism is unknown. Fletcher et al. provide a link between FGFR2 signalling and breast cancer susceptibility by demonstrating that FGFR2 signalling activates the ERa transcriptional network, which drives transcription of risk 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.

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 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.

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.

Multi-Inflammatory Syndrome in Children (MIS-C) is a severe post-infectious presentation related to SARS-CoV-2 infection. Here authors used multi-omics approaches to characterise MIS-C cases and found increased CD95 and IL-18 signalling accompanying the expansion of TCR Vβ 21.3+ T cells.

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.

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.

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 study provides a comprehensive transcriptomic atlas of the human gastrointestinal tract across the lifespan, highlighting inflammation-induced changes in epithelial stem cells that alter mucosal architecture and promote further inflammation.

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.

Multi-omics profiling of 45 human lung samples highlights 80 different cell types along the proximal to distal axis of the lung with certain cell types showing enrichment for disease-associated genes. An immune niche for IgA-expressing plasma cells within airway submucosal glands (SMG) is also identified.

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.

Cells from embryonic, fetal, paediatric and adult human intestinal tissue are analysed at different locations along the intestinal tract to construct a single-cell atlas of the developing and adult human intestinal tract, encompassing all cell lineages.

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 multiomic atlas of human embryonic joint and cranium development enables detailed analysis of bone and cartilage maturation.

A single-cell atlas of human fetal bone marrow in healthy fetuses and fetuses with Down syndrome provides insight into developmental haematopoiesis in humans and the transcription and functional differences that occur in Down syndrome.

A human SARS-CoV-2 challenge study in individuals without previous exposure to the virus or vaccines provides detailed profiles of local and systemic epithelial and immune cell response dynamics over time and infection status.

Genes2Genes is a dynamic programming framework that enables precise alignment for single-cell trajectories at the per-gene level.

Alveolar rhabdomyosarcoma is a clinically challenging disease due to the lack of druggable targets. Here the authors show preclinical evidence for ATR inhibitors as a therapeutic option for alveolar rhabdomyosarcoma.

The spike protein of the Omicron variant of SARS-CoV-2 has a higher affinity for ACE2 than Delta, and a marked change in its antigenicity increases Omicron’s evasion of therapeutic and vaccine-elicited neutralizing antibodies.

Necroptosis, a form of cell death, occurs in acute renal injury. Here, the authors show that ferroptosis—a form of cell death dependent on iron - also occurs during acute kidney injury, and show that an inhibitor of ferroptosis can improve survival in a mouse model of acute kidney damage.

Benchmarking of scATAC-seq protocols demonstrates the effects of data quality on downstream analyses.