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Kim and coworkers describe a technique, EPSILON, to map AMPA receptor exocytosis, a proxy for synaptic plasticity, in mice. The authors demonstrated a correlation between AMPA receptor exocytosis and cFos expression during a fear conditioning experiment.

Researchers developed DELTA, a method for brain-wide measurement of synaptic protein turnover with single-synapse resolution, providing a powerful tool to localize and study mechanisms underlying synaptic plasticity and learning.

Shared inter-brain neural dynamics, reflecting aspects of social interaction including self and other’s behaviours, arise in GABAergic neurons of the dorsomedial prefrontal cortex of socially interacting mice, as well as in the neurons of socially interacting artificial intelligence agents.

Bacteria assemble the surface layer (S-layer), a crystalline protein coat surrounding the curved surface, using protein self-assembly. Here authors image native and purified RsaA, the S-layer protein from C. crescentus, and show that protein crystallization alone is sufficient to assemble and maintain the S-layer in vivo.

The way in which metastatic tumour cells control endocytic vesicular trafficking networks to establish a front-rear polarity axis that facilitates motility remains unclear. Here, the authors show that the EMT activator ZEB1 influences vesicular trafficking dynamics to execute cell polarity change.

By revealing the nucleolar interactome of RNA Pol II, the authors show the regulation of transcription by TBPL1 and PAF1 within ribosomal DNA’s intergenic spacers ensures baseline ncRNA levels critical to nucleolar structure and function.

One-shot tissue dynamics reconstruction can infer changes in tissue composition over time, from single-time-point spatial proteomics of human cancers.

In this study, long-read RNA sequencing achieves accurate single-nucleotide polymorphism calling, haplotype phasing and allele-specific expression analysis.

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.

Lipid particles loaded with RNA coding for tumour-unspecific antigens can enhance early responses of type-I interferons, mediating the success of immune checkpoint inhibitors as well as epitope spreading.

High-throughput screening and structure-guided design identified small-molecule inhibitors that prevent the interaction between N-terminally acetylated E2 conjugating enzyme UBE2M and DCN1, an E3 ligase for the ubiquitin-like protein Nedd8.

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.

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.

Insulin stimulates TUG cleavage to translocate GLUT4 and enhance glucose uptake. Here Bogan and colleagues show that the TUG cleavage product regulates thermogenic gene transcription, thereby coupling glucose uptake to organismal energy expenditure.

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.

Li et al. discovered that the cytotoxic synthetic small molecule BRD1732 is directly ubiquitinated in cells. Ubiquitination of BRD1732 is E3 ligase dependent and leads to inhibition of proteasomal degradation.

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.

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.

On the basis of transplantation experiments it is generally believed that a very small number of haematopoietic stem cells maintain multi-lineage haematopoiesis by stably producing a hierarchy of short-lived progenitor cells; here a new transposon-based labelling technique shows that this might not be the case during non-transplant haematopoiesis, but rather that a large number of long-lived progenitors are the main drivers of steady-state haematopoiesis during most of adulthood.

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 common but untested expectation is that nutrient enrichment causes biotic homogenization. However, a globally standardized nutrient addition experiment in grasslands shows proportionally similar species loss across scales and no biotic homogenization after up to 14 years of treatment.

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.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

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.

Goekbuget et al. characterize the role of the developmentally essential transcriptional repressor FOXD3 in limiting transcription of highly active genes upon entry into S phase to promote faithful DNA replication and to protect genome integrity.

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.

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.

Cellular cholesterol levels are tightly regulated. Here, the authors show that the hedgehog signalling receptor PTCH is a cholesterol transporter. Reduction in PTCH activity leads to cellular cholesterol accumulation, changes in nuclear hormone receptor activity and fatty acid metabolism.

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.

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.

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 core circadian transcription factor BMAL1 regulates circadian-dependent myocardial injury.

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.

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 high-plasticity cell state (HPCS) is a critical hub that enables reciprocal transitions between cancer cell states, and targeting the HPCS may suppress cancer progression and eradicate treatment resistance.

A screen for host factors involved in late steps of the reovirus life cycle identifies the TRiC chaperonin as essential for outer-capsid protein folding, and thus for incorporation onto progeny virions, assembly and virus production.

Immune features and T cell characteristics that correlate with post-intervention control of HIV-1 viraemia inform the development of combination immunotherapies that may enhance the ability to elicit durable HIV remission.

Using a combination of bioinformatics, biochemistry, genetics, genomics and cell-based approaches, this study shows that the H3–H4 binding capacity of the histone chaperone SPT2 is required to preserve chromatin structure and function in Metazoa.