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Gram-negative bacteria use diverse virulence factors to infect eukaryotic cells. Here, the authors perform structure-function analyses on the S. negevensis deSUMOylase SnCE1 and provide mechanistic insights how lysine acetylation reprograms virulence adjusting it to the host cells’ metabolic state.

In simulations of colloidal systems, neglecting frictional contacts, or treating these interactions in a thermodynamically inconsistent way when accounting for thermal fluctuations, significantly affects the emergent collective behavior. Here, the authors derive the fluctuation-dissipation relation for these interactions, introducing dissipative particle dynamics thermostats with rotation-translation coupling relevant for a broad class of soft and active systems, including those exhibiting odd viscous or elastic response.

The cellular functions of poly-SUMO chains of different compositions are not fully understood. Here, the authors characterize Arkadia/RNF111 as a SUMO-targeted ubiquitin ligase that recognizes proteins with hybrid SUMO1-capped SUMO2/3 chains and targets them for proteasomal degradation.

Chen et al. show that PEX39 cooperates with PEX7 in the peroxisomal import of proteins containing a PTS2 site and uncover an (R/K)PWE motif in PEX39 and PEX13 that binds to PEX7 and facilitates the import of PTS2-containing proteins.

Riechmann et al. uncover structural features governing ubiquitin transfer from ubiquitin-activating E1 enzymes UBA1 and UBA6 to specific E2 ubiquitin-conjugating enzymes, revealing a hierarchy of E2 activity with cognate E1s.

Intracellular bacteria use deubiquitinase effectors to avoid being targeted for autophagic clearance. The authors show that the Chlamydia-like bacterium Simkania negevensis encodes an unusually broad range of these enzymes, including members that specifically target linear and K6-linked ubiquitin chains.

The mechanism of crystal thickness selection in semi-crystalline polymers is unclear but intracrystalline chain diffusion has been shown to have a role. Here, the authors report on observations related to poly(oxymethylene) with slow intra-crystalline chain diffusion to fill the knowledge gaps between fast and absent diffusion systems

ZUFSP-type enzymes cleave ubiquitin chains in a linkage-specific fashion, but members from different organisms have different specificities. Using an inter-kingdom comparison of activities and structures, the authors identify the domains responsible for this discrepancy.

The authors describe the VTD-deubiquitinases, a new eukaryotic enzyme family that is distantly related to herpesviral large tegument proteins. Structures of two family members with different linkage preferences allow insights into the mechanism and chain-specificity of this unusual deubiquitinase class.

Deubiquitinating enzymes (DUBs) are essential to modulate ubiquitin signaling. While known DUBs can be grouped into six families, the authors here present biochemical and structural evidence for a seventh DUB family, defining determinants of substrate specificity for two representative enzymes.

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.

Mitochondria influence cellular proteostasis, though the proteins that mediate this role are not well described. Here they show that the mitochondrial protein MFN2 interacts with the proteasome and with chaperones to coordinate protein quality control in the cytoplasm, gate-keeping protein aggregation in cell lines of patients with neurodegeneration.

In bacteria Zn2+-dependent deacylases are underexplored. Here, the authors identify bacterial deacylases, providing systemic structure-function analyses to reveal the basis of substrate specificity, acyl-chain preference and inhibition.

This paper shows that the yeast ubiquitin-like protein Urm1p is a sulphur carrier that modifies tRNA. It identifies a pathway whereby Urm1p is first adenylated by Uba4p, then is subsequently thiolated by Uba4p, after which the sulphur moiety is transferred from the thiolated Urm1p onto U₃₄ of a cytoplasmic adenylated tRNA.

The TAK1 kinase binds K63-linked ubiquitin specifically via its TAB2 subunit. The structure of the TAB2 NZF domain in complex with K63-linked ubiquitins now indicates that this domain interacts with neighboring ubiquitins through distinct sites, explaining the basis of specific recognition.

Risk for renal cell carcinoma (RCC) is higher when there are first-degree family members with the disease. Here, Scelo and colleagues perform a genome-wide association meta-analysis and new genome-wide scan to identify seven new loci with significant RCC association.