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A cell surface reporter that binds to a fluorine-18-labelled radioligand enables the monitoring of CAR T cells and gene therapy vectors in preclinical models using PET imaging.

Ruhugu virus and rustrela virus are the first close relatives of rubella virus, providing insights into the zoonotic origin of rubella virus and the epidemiology and evolution of all three viruses.

In glioblastoma (GBM), tumour microtubes (TM) connect tumour cells to a broader cellular network, with roles in tumour progression and therapy resistance. Here, the authors combine a dye uptake method in GBM xenograft models with subsequent scRNA-seq to infer a TM connectivity signature, finding CHI3L1 as a marker of connectivity.

Reliable plasmonic biosensors with high throughput and ease of use are highly sought after. Here, the authors report a plasmon-enhanced fluorescence antibody-aptamer biosensor based on a gold nanoparticle array, and demonstrate its use for effective specific detection of a malaria marker, at femtomolar level, in whole blood.

It is unclear what role mitochondrial function plays in maintaining intestinal epithelial cell (IEC) homeostasis. Here, the authors deplete a mitochondrial chaperone, heat shock protein 60 (HSP60) in IEC and observe a loss of stemness and cell proliferation, and suggest this is accompanied by a compensatory release of WNT-related factors.

Stoffers, Wolf et al. report that, in virus-mediated myocarditis, GPR15 deficiency delays the recruitment of T cells into cardiac tissue, which impairs viral elimination and leads to delayed but also prolonged inflammation and, thus, adverse cardiac outcomes.

In mouse models of patient-derived breast cancer brain metastases, combined inhibition of PI3K and mTOR resulted in regression, and therapeutic response was correlated with a reduction in 4EBP1 phosphorylation.

Fibroblast-like synoviocytes are important mediators of joint pathology in rheumatoid arthritis (RA). Here the authors show that Lasp1 is epigenetically regulated and highly expressed by these cells in RA and its deletion can limit joint pathology in a mouse model of inflammatory arthritis.

Patients with primary sclerosing cholangitis (PSC), a chronic cholestatic liver disease, display changes in the gut microbiota and in bile acid composition. Schneider, Candels and colleagues identify a role for microbiota-dependent regulation of bile acid synthesis through farnesoid X receptor signalling, which is relevant for PSC disease progression.

Chemoproteomic studies have revealed that a Wnt-pathway inhibitor, CCT251545, is a potent and selective small-molecule chemical probe that inhibits the Mediator complex–associated protein kinases CDK8 and CDK19 through a type 1 binding mode and modulates the growth of Wnt-dependent tumors.

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.

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.

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 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.

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.

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.

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.

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.

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.

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 transcription factors ZEB1 and YAP function in different pathways yet both activate aggressive behaviour in cancer cells. Here, the authors describe that the proteins physically interact and that this changes the transcriptional activity of ZEB1 from a repressor to an activator.

A population of highly interconnected cells in glioblastoma makes these tumours resistant to general damage but vulnerable to targeted disruption of this small fraction of cells and their rhythmic Ca²⁺ oscillations.

The complex of Grb2-SH2 a BCR-Abl target peptide reveals that the peptide binds in a β-turn conformation; Trp 121 closes the binding site C-terminal to the phosphotyrosyl residue of the ligand and prevents it from assuming the expected extended conformation.

Loline is a small alkaloid with a deceptively simple-looking structure. Here, a remarkably short synthesis is reported, the key step of which is a transannular aminobromination. The synthesis provides access to loline and to several other members of the loline family in sufficient yield to support a programme investigating the complex biological interactions of these compounds.

Single-molecule devices with low variability can be made by decoupling electronic transport and chemical attachment to the electrode.

Lifespan can be affected by both physiological ageing and specific sets of pathologies associated with old age. Here the authors report a resource of large-scale cross-sectional phenotyping of aging male mice at different time points to analyse a large set of phenotypes and molecular markers, including during genetic and diet interventions affecting lifespan.

Narcolepsy has genetic and environmental risk factors, but the specific genetic risk loci and interaction with environmental triggers are not well understood. Here, the authors identify genetic loci for narcolepsy, suggesting infection as a trigger and dendritic and helper T cell involvement.

Sulfonylureas are widely used anti-diabetic drugs, which promote insulin release by blocking a pancreatic ion channel. Here the authors create a photoswitchable sulfonylurea derivative and use it to control insulin release from cultured cells and isolated pancreatic islets by illumination with blue light.

Artificial intelligence has become popular as a cancer classification tool, but there is distrust of such systems due to their lack of transparency. Here, the authors develop an explainable AI system which produces text- and region-based explanations alongside its classifications which was assessed using clinicians’ diagnostic accuracy, diagnostic confidence, and their trust in the system.

This study reveals that a substantial number of transcripts that are currently annotated as graft-mobile lack statistical support from available RNA-seq data.

Whether the perivascular niche (PVN) and the integration into multicellular networks by tumor microtubes (TMs) have a different role in glioblastoma progression and resistance to therapies is currently unclear. Here, the authors, by long-term tracking of individual glioma, demonstrate that both niches can partially compensate for each other and that glioma cells localized in both niches are resistant to radio- and chemotherapy.

Analysis of the structure of the highly complex yet racemic secondary metabolite epicolactone suggests that it may arise biosynthetically from a cascade similar to that which produces purpurogallin. This led to a synthesis of epicolactone in only eight steps using an intricate reaction cascade.

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.