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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.

India’s methane emissions have been quantified using atmospheric measurements to provide an independent comparison with reported emissions. Here Ganesan et al. find that derived methane emissions are consistent with India’s reports and no significant trend has been observed between 2010–2015.

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.

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

FLuID enables privacy-preserving knowledge sharing in drug discovery using knowledge distillation. The results show that the approach expands applicability domains and fosters collaboration across organizations without compromising data privacy or security.

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.

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.

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.

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.

A study reports the development of a structural derivative of amphotericin B with broad antifungal activity in mice but without the renal toxicity associated with amphotericin B.

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 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.

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 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.

The inaugural Klebsiella Epidemiology and Biology Symposium (KLEBS) took place in November 20-22, 2024, at the Institut Pasteur in Paris. It covered a broad multidisciplinary range of topics from fundamental biology to public health aspects, including epidemiology and public health burden, One Health and clinical aspects, genomics, host-pathogen interactions, vaccines, and therapeutics. This report describes research presented during keynote presentations, plenary sessions and a panel discussion. A recording of the conference is available at: https://www.klebs-2024.conferences-pasteur.org/replay.

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.

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.

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.

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.

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.

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.

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.

Fine-scale geospatial mapping of overweight and wasting (two components of the double burden of malnutrition) in 105 LMICs shows that overweight has increased from 5.2% in 2000 to 6.0% in children under 5 in 2017. Although overall wasting decreased over the same period, most countries are not on track to meet the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025.

Notch1 is frequently activated promoting T-cell acute lymphoblastic leukaemia (T-ALL). Here, the authors show that Notch1 induces oxidative phosphorylation dependency in T-ALL and synergism when inhibiting both mitochondrial complex I and glutaminolysis in preclinical murine and human xenograft models.

This study presents the assembly and analysis of the genome sequence of a female domestic Duroc pig and a comparison with the genomes of wild and domestic pigs from Europe and Asia; the results shed light on the evolutionary relationship between European and Asian wild boars.

By mapping vibrations in molecules to photons in waveguides, the vibrational quantum dynamics of various molecules are simulated using a photonic chip.

The Plasmodium falciparum transcription factor PfAP2-P is an upstream regulator of parasite blood-stage development and regulates trophozoite development, host cell remodelling, antigenic variation and pathogenicity.

Small intestinal bacterial overgrowth (SIBO) has been associated with functional gastrointestinal disorders. Here, the authors show that SIBO may be a result of dietary preferences, and patient symptoms correlate with changes in small intestinal microbial composition but not with SIBO.

Here, Arkinson et al. reconstitute NUB1-mediated FAT10 degradation by the human 26S proteasome and use biochemistry, cryo-EM and hydrogen–deuterium exchange to show that NUB1 acts as an ATP-independent chaperone to trap partially folded FAT10 for proteasome delivery.

Blanco et al. show that PTEN loss results in accumulation of type-17 innate-like T cells via altered metabolic reprogramming and mTOR, Foxo1 and IL-23–Stat3 signalling.

Genetic variants associated with susceptibility to pancreatic cancer have been identified using genome wide association studies (GWAS). Here, the authors combine data from over 9000 patients and perform a meta-analysis to identify five novel loci linked to pancreatic cancer.

CRISPR screening and protein–protein interaction networks identify components and mechanisms of nutrient-dependent mTORC1 signalling in regulatory T cells and reveal how mTORC1 integrates immunological cues and nutrient signals for adaptive immunity.

Iron- and nitrogen-doped carbon materials are effective catalysts for the oxygen reduction reaction whose active sites are poorly understood. Here, the authors establish a new pyridinic iron macrocycle complex as a more effective active site model relative to legacy pyrrolic model complexes.

ClampFISH 2.0 enables highly specific multiplexed signal amplification in RNA FISH. The approach was used to detect 10 RNA species that ranged in abundance in more than 1 million cells and is also applicable to tissue sections.

CRISPR–Cas9 mutagenesis screenings reveal that targeting REGNASE-1 leads to improved therapeutic efficacy of CD8⁺ T cells against mouse models of cancer, and identify BATF as a key target of REGNASE-1.

A study of SARS-CoV-2 variants examining their transmission, infectivity, and potential resistance to therapies provides insights into the biology of the Delta variant and its role in the global pandemic.

Swarm Learning is a decentralized machine learning approach that outperforms classifiers developed at individual sites for COVID-19 and other diseases while preserving confidentiality and privacy.

A20, encoded by TNFAIP3, is a negative-feedback inhibitor of NF-κB. Grey and colleagues identify natural human variants of TNFAIP3, which lower A20 activity and increase autoinflammatory responses. These alleles were inherited by descendants of Denisovans who crossed the Wallace Line to inhabit Oceania.

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.

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.

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

The rich ethnolinguistic and sociocultural differences that exist in India offers a unique opportunity to study human diversity. With the whole genomes of 10,000 healthy and unrelated Indians from 83 populations, the GenomeIndia project captures the genetic diversity of one of the highly underrepresented populations in the global genomics landscape.

Previous studies have shown genome-wide associations between polymorphisms in the gene FTO (fat mass and obesity associated) and type 2 diabetes and obesity, and genetic manipulation of Fto in mice causes feeding dysregulation and body weight changes. Here Hess et al. show that FTO affects the activity and function of midbrain dopaminergic neurons and subsequent reward-related behaviors. The study also shows that FTO acts as a demethylating enzyme for specific mRNAs in vivo, including mRNAs in the dopaminergic signaling pathway.

The structures of the deubiquitinating enzyme Cezanne alone or in complex with its substrate or product are solved, showing how Cezanne specifically targets Lys11-linked polyubiquitin.

Stanislav Shvartsman and colleagues quantify signaling changes caused by disease-associated mutations in MAP2K1 (encoding MEK) in fruit fly and zebrafish embryos. They find that intrinsically active MEK variants can both increase and reduce the levels of pathway activation depending on cellular context.