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Distinct membrane interaction dynamics between the two non-visual arrestin subtypes uncover new mechanistic insights into arrestin activation and highlight the essential role of membrane engagement.

The early genetic evolution of uveal melanoma (UM) remains poorly understood. Here, the authors perform genetic profiling of 1140 primary UMs, including 131 small early-stage tumours, finding that most genetic driver aberrations have occurred by the time small tumours are biopsied; in addition, the15-gene expression profile discriminant score can predict the transition from low- to high-risk tumours.

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.

APOBEC3B interacts with R-loops and helps mediate their resolution in a deamination-dependent way. This association also renders R-loops susceptible to enhanced APOBEC3B-dependent mutagenesis.

Control of CRISPR-Cas9 activity allows for fine-tuning of editing and gene expression. Here the authors use gRNAs modified with RNA aptamers to enable small molecule control in bacterial systems.

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.

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 purpose-built implantable system based on biomimetic epidural electrical stimulation of the spinal cord reduces the severity of hypotensive complications in people with spinal cord injury and improves quality of life.

A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

Enzymes are powerful catalysts for chemical synthesis because they are capable of providing unparalleled levels of selectivity; however, in nature they only catalyse a limited collection of reactions. Now, it has been shown that non-natural reactions that proceed via free-radical intermediates can be catalysed with high selectivity by using an exogenous photoredox catalyst in conjunction with enzymes.

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.

Transcription termination or pausing during DNA replication in bacteria and humans results in DNA damage with exposed 3′ single-stranded DNA ends and mutations.

Multiplexed error-robust fluorescence in situ hybridization (MERFISH) together with deep-learning-based nucleus segmentation enabled the construction of a highly detailed and informative spatially resolved single-cell atlas of human fetal cortical development.

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.

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.

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.

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 affected cellular populations during Alzheimer’s disease progression remain understudied. Here the authors use a cohort of 84 donors, quantitative neuropathology and multimodal datasets from the BRAIN Initiative. Their pseudoprogression analysis revealed two disease phases.

Thousands of recombinant antibodies enriched for specificity against defined targets are assembled in multivalent mixtures with enhanced therapeutic activity.

Patients with classic Hodgkin lymphoma (cHL) respond well to PD-1 blockade, but the underlying cellular insights are still lacking. Here, the authors use single-cell transcriptome and spatial analyses to identify distinct circulating and tumor-infiltrating CD4⁺ T cell, B cell and IL1β⁺ monocyte/macrophage features associated with response to PD-1 blockade in cHL.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

Microscopic colitis is a chronic inflammatory disease of the large intestine. Here the authors use single-cell RNA transcriptomic profiling and tissue localization studies to characterise the colon immune cell populations in MC, showing expansion of CD8 T cells with diverse TCR clonotypes and expression of CD4 T reg cell signatures.

Analysis of autosomal recessive coding variants in 29,745 trios from the DDD study and GeneDx provides insights into the genetic architecture of developmental disorders across ancestrally diverse populations.

Biofilm formation by Vibrio cholerae is regulated by c-di-GMP and requires the type IV MSHA pilus. Here, Floyd et al. show that the MSHA pilus is a dynamic system, and that both extension and retraction are directly controlled by c-di-GMP via regulation of activity of the extension ATPase MshE.

Single-cell multiomic and functional characterization of human pancreatic islets identifies two beta cell subtypes correlated with type 2 diabetes progression that exhibit distinct gene regulatory programs and electrophysiological phenotypes.

This study extends the natural code by which transcription activation–like effector nucleases (TALENs) recognize DNA and uses the resulting expanded repertoire of repeat divariable residues (RVDs) to improve TALEN performance.

TALEs (transcription activator-like effectors) are transcription factors from the plant pathogen Xanthomonas that can be readily engineered to bind new DNA sequences of interest. Miller et al. use a truncated TALE linked to a nuclease domain to edit and regulate endogenous genes in human cells.

The National Cancer Institute (NCI) Genomic Data Commons (GDC) contains more than 2.9 petabytes of genomic and associated clinical data from more than 60 NCI-funded and other contributed cancer genomics research projects. The GDC consists of five applications over a common data model and a common application programming interface.

Bacteriophage are natural antibiotic agents and provide natural building blocks for living biomaterials. Here, the authors crosslink self-organised bacteriophages to make sprayable microgels which preserves the natural antibacterial action, have tuneable auto-fluorescence and demonstrate application in food decontamination.

Genome-wide analyses identify common variants associated with 11 distinct neuropathology endophenotypes, providing insights into the mechanisms underlying the genetic risk of Alzheimer’s disease and related dementias.