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Histological analysis of the human pancreas provides insight into initiation and progression of type 1 diabetes (T1D). Here the authors utilize pancreatic tissue sections across different disease stages and apply whole slide imaging and digital pathology to identify endocrine cell composition, immune cell burden and spatial islet relationships in health and over the course of T1D.

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.

Molecular motion at interfaces to 2D materials is governed by interfacial interactions. Here, the authors use a multimodal time-resolved photoemission approach to reveal collective molecular rotation on a 2D material following photoexcitation.

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.

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.

Biotin is an essential vitamin in the regulation of energy metabolism. Here Madsen et al.show that biotin deficiency in yeast leads to hyperacetylation of mitochondrial proteins that is compensated for by the SIRT-like deacetylase Hst4p.

Iminosugars are biologically and medicinally important compounds but methods for their synthesis are often laborious. Here, the authors report a simple, rapid route for the enantioselective synthesis of multiple biologically active iminosugars and C-nucleoside analogues.

A wearable paper-based microfluidic device tracks cortisol in sweat via gold nanoflower colorimetric assays and captures circadian rhythms, stress responses and jet lag disruptions.

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 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.

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.

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.

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.

Protein motion in crowded environments governs cellular transport and reaction rates. Here, the authors use megahertz X-ray Photon Correlation Spectroscopy to reveal anomalous diffusion of ferritin, linking hydrodynamic and direct interactions to cage-trapping at microsecond time scales.

Degenerative diseases such as Alzheimer's or Parkinson's are associated with the misfolding of many diverse proteins, yet the amyloid fibrils formed by all these proteins are similar. David Eisenberg and colleagues have now identified 30 short fibril-forming peptides implicated in a range of amyloid diseases and have solved 13 of their atomic structures, revealing variations in one common feature — the 'steric zipper'.

LONP1, whose expression is downregulated in islets from donors with type 2 diabetes, is vital to mediate efficient mitochondrial protein folding, thus preventing proteotoxicity and promoting islet β cell survival and function.

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.

Models used to optimize wind power are still limited to rely on empiricism when existing theory fails. Here, authors develop a Unified Momentum Model to predict power, thrust, and wakes of rotors under arbitrary inflow angles and thrust coefficients from first principles, mitigating the need for empirical adjustments.

The number of individuals in a given space influences animal interactions and network dynamics. Here the authors identify general rules underlying density dependence in animal networks and reveal some fundamental differences between spatial and social dynamics.

Both rare and common variants contribute to the aetiology of complex traits such as type 2 diabetes (T2D). Here, the authors examine the effect of coding variation on glycaemic traits and T2D, and identify low-frequency variation in GLP1Rsignificantly associated with these traits.

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

Lysosomal integral membrane protein-2 (LIMP-2) is a glucocerebrosidase receptor, which is linked to kidney failure and other diseases. Here the authors show that LIMP-2 is also a phospholipid receptor and present the lipid-bound structure of the LIMP-2 luminal domain dimer and discuss its lipid trafficking mechanism.

The authors combine tracking and body mass data from five migratory waterfowl species to understand their capacity to accelerate migration in response to earlier spring. They show considerable scope for faster migration by reducing the fuelling time before departure and subsequently on stopovers

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.

This study presents CSNN, a tool leveraging network homophily and training-free graph neural networks with labels as features to predict drug-target-interactions (DTIs). The model is then experimentally validated on a new dataset of 3773 DTIs from a yeast-based screen on 7 human GPCRs.

NNC2215 is an insulin conjugate that can reversibly adjust its bioactivity in response to a diabetes-relevant glucose range in vivo.