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Wei et al. perform spatial transcriptomic profiling on synovial tissue biopsy samples from individuals with recent-onset rheumatoid arthritis, finding TGFβ signaling and fibrogenic fibroblast activation drive a treatment-refractory tissue phenotype.

This study reveals diverse soil nematode community patterns across Atacama habitats, including dunes, high elevation mountains and fog oases. Latitude, rainfall and elevation were found to be associated with diversity and reproductive modes.

Neural circuits in adult mouse visual cortex are stabilized by astrocytes, which secrete CCN1, resulting in reduced plasticity and increased maturation of multiple cell types.

Analyses of multiple phylogenetic marker datasets of Asgard archaea provide insight into the transition from prokaryotes to eukaryotes, specifically placing eukaryotes within Asgard archaea and as a sister lineage to Hodarchaeales.

The International Brain Laboratory presents a brain-wide electrophysiological map obtained from pooling data from 12 laboratories that performed the same standardized perceptual decision-making task in mice.

In this study, the authors generated iPSC lines from more than 100 sporadic ALS cases, which recapitulated key disease phenotypes and enabled large-scale drug screening, identifying a promising combination therapy of baricitinib, memantine and riluzole.

Pulmonary large cell neuroendocrine carcinoma is an aggressive subtype of lung cancer. Here, the authors identify distinct subtypes based on genomic alterations and transcriptomic alterations.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

Brain-wide recordings in mice reveal that prior expectations are distributed through recurrent loops across all levels of cortical and subcortical processing.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this cancer.

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.

BindCraft, an open-source, automated pipeline for de novo protein binder design with experimental success rates of 10–100%, leverages AlphaFold2 weights to generate binders with nanomolar affinity without the need for high-throughput screening.

Here, the authors profile bacterial engraftment in UC patients receiving FMT from a single donor and placebo samples to estimate noise, showing a significant level of false-positive engraftment, which confounds the prediction of true engraftment, while analyzing engraftment across multiple patients from a single donor enhances the accuracy of detection.

Systematic studies are needed to discover molecular determinants of blood brain barrier dysfunction in Alzheimer’s disease. This study identifies perturbed pericytic SMAD3-astrocytic VEGFA interactions as a potential driver of this dysfunction.

A multimodal analysis of patients with 22 different immune-mediated monogenic diseases versus matched healthy controls leads to the development of the immune health metric, which could be implemented broadly to predict responses to aging, vaccination and other immune perturbations.

Single-nucleotide polymorphisms (SNPs) in TASL are associated with an increased risk for systemic lupus erythematosus (SLE), but how these SNPs and TASL contribute to disease is unclear. Here the authors demonstrate that Tasl is required for disease pathogenesis in pre-clinical mouse models of SLE, and that an SLE-associated SNP in TASL increases its protein translation.

PD-L1, the ligand for T-cell inhibitory receptor PD-1, can be expressed by various cell types in the tumour microenvironment. Here, the authors show that, in mouse models, the expression of PD-L1 from both cancerous and normal host immune cells is important for suppressing anti-tumour immune responses.

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.

Yeast surface display technology enables real-time monitoring and effective screening of libraries of millions of disulfide-cyclised peptides against diverse protein targets. Selected ligands are characterised rapidly and quantitatively without the need for chemical synthesis and purification.

Treatment with neoadjuvant BRAF/MEK-targeted therapy results in higher rates of major pathological response in female compared with male patients with melanoma, and pharmacological inhibition of androgen receptor signalling improved the responses of male and female mice to BRAF/MEK-targeted therapy.

Alterations in the tumour suppressor genes STK11 and/or KEAP1 can identify patients with advanced non-small-cell lung cancer who are likely to benefit from combinations of PD-(L)1 and CTLA4 immune checkpoint inhibitors added to chemotherapy.

By demonstrating a computational approach to restore the clinical efficacy of a COVID-19 antibody, the potential to rapidly update clinical antibodies is explored.

Here the authors show that ventrally derived oligodendrocytes (OLs) can myelinate areas usually populated by dorsally derived OLs but cannot functionally compensate, as animals populated only by ventrally derived OLs show locomotor and cognitive deficits.