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Precisely tuning the genetic response to environmental stimuli is a key step in engineering synthetic biology systems. Here, the authors profile 8269 IPTG-induced promoters to deconstruct the relationship between sequence architecture and gene expression.

Jacquemyn et al. identify key lipid determinants controlling ectosome shedding from neurons. They find that ectosomes are a major route for the intercellular transport of misfolded α-synuclein, with relevance to Parkinson’s disease pathology.

A streamlined blood test using mass spectrometry improves measurement of amyloid-β for early Alzheimer’s disease diagnosis, requiring less sample volume and reagents while maintaining high accuracy, sensitivity and strong agreement with brain imaging.

Li, Cui, Yang, Lu, Jiang, Zhang and colleagues identify a lactate transport mechanism from tumour-associated macrophages that regulates DNA repair and immune cell infiltration, which could be targeted to enhance immunotherapy efficacy in glioblastoma models.

A small molecule can bypass the RNA-editing enzyme ADAR1 to directly activate the Z-form nucleic acid sensor ZBP1, induce necroptosis in tumour fibroblasts and reverse resistance to immune checkpoint blockade in mouse models of melanoma.

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.

Artificial intelligence systems are becoming gigawatt-scale, always-on workloads that today’s power systems were not built to carry. Capacity expansion and short-term coordination alone cannot close this gap. Here, we argue that alignment requires a structural perspective: enabling energy and computation systems to interpret each other’s structural organization and evolving constraints.

Bovine H5N1 viruses are lethal in laboratory animals, but they retain avian traits including limited transmission. Their responsiveness to approved antivirals and candidate vaccines lowers human risk, but ongoing surveillance is critically needed.

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.

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 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.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

The role of IgG glycosylation in the immune response has been studied, but less is known about IgM glycosylation. Here the authors characterize glycosylation of SARS-CoV-2 spike specific IgM and show that it correlates with COVID-19 severity and affects complement deposition.

A high-resolution gene expression atlas of prenatal and postnatal brain development of rhesus monkey charts global transcriptional dynamics in relation to brain maturation, while comparative analysis reveals human-specific gene trajectories; candidate risk genes associated with human neurodevelopmental disorders tend to be co-expressed in disease-specific patterns in the developing monkey neocortex.

A spatially resolved transcriptional atlas of the mid-gestational developing human brain has been created using laser-capture microdissection and microarray technology, providing a comprehensive reference resource which also enables new hypotheses about the nature of human brain evolution and the origins of neurodevelopmental disorders.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

An activator of DNA polymerase γ restores function to disease-causing mutant variants and demonstrates a potential route to treatments for inherited mitochondrial disorders involving POLG mutations.

In a phase 2 trial, the combination of gemcitabine, cisplatin and anti-PD-1 led to a clinical complete response in 43% of patients with muscle-invasive bladder cancer, which facilitated bladder sparing and was associated with long-term bladder-intact metastasis-free survival.

Love and colleagues show that THEMIS enhances the TCR signaling response to low-affinity ligands by inhibiting the tyrosine-phosphatase activity of SHP-1.

Combined patch clamp recording, biocytin staining and single-cell RNA-sequencing of human neurocortical neurons shows an expansion of glutamatergic neuron types relative to mouse that characterizes the greater complexity of the human neocortex.

The molecular mechanisms underlying the function of different cellular states in glioblastoma stem cells (GSCs) remain poorly understood. Here, the authors perform integrated single cell and bulk analysis of GSCs and identify potential therapeutic targets.

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

The C. elegans LIN-41 and its homologs, including human TRIM71/LIN41, contain the RNA binding NHL domain. Here the authors combine computational analysis, structural biology and in vivo studies, to explain how these proteins bind RNA and how rapid evolution of NHL domains resulted in different solutions to RNA recognition.

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.

Abnormal functions of RNA-binding proteins TAF15, FUS and TDP43 are associated with amyotrophic lateral sclerosis. Here, Kapeli et al. characterize the RNA targets of TAF15 and identify points of convergence and divergence between the targets of TAF15, FUS and TDP43 in several neuronal systems.

Here, the authors clarify the architecture of genetic risk on chromosome X in three male-biased psychiatric disorders. Leveraging this information they identify an exome-wide significant autism risk gene, MAGEC3, and provide a path forward for future gene discovery on this chromosome.