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The PCRCR complex of Plasmodium spp. binds basigin on the erythrocyte surface. While Rh5 of the complex is restricted to P. falciparum, PTRAMP, CSS and Ripr orthologs are present across the genus, for which the authors report common features.

Response to immune therapy varies among cancer types and individual cancer patients; thus, predictive biomarkers of success are urgently needed. Here, the authors present a computational framework that integrates tumor clonality and neoantigen characterization data to predict patient outcomes upon immune checkpoint inhibitor treatment.

Chan and colleagues report that tumor ecosystem and microbiome features are associated with response to anti-PD-L1 avelumab plus chemoradiotherapy in patients with locally advanced head and neck cancer.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

Single-cell RNA sequencing and assay for transposase-accessible chromatin using sequencing profiling of human retinal samples from diverse ancestries create an epitranscriptomic atlas characterizing over 130 cell types. Integration with genome-wide association study and expression quantitative trait loci data provides further insights into gene regulation and disease etiology.

In an arm of an ongoing multicenter phase 2 trial testing different therapies in patients with genetically profiled grade 2 or 3 meningiomas, treatment with an oral CDK4/6 inhibitor met the primary endpoint for progression-free survival at 6 months in patients with CDK or NF2 alterations.

McGrail and colleagues report that high intratumoral bacteria abundance is associated with an immunosuppressive microenvironment and resistance to immune checkpoint blockade in head and neck squamous cell carcinoma.

The Taiwan Precision Medicine Initiative recruited and genotyped more than half a million Taiwanese participants, almost all of Han Chinese ancestry, and performed comprehensive genomic analyses and developed polygenic risk score prediction models for numerous health conditions.

This study demonstrates the capability of deep learning protein design models in generating functionally validated β-strand pairing interfaces, expanding the structural diversity of de novo binding proteins and accessible target surfaces.

The existing ENCODE registry of candidate human and mouse cis-regulatory elements is expanded with the addition of new ENCODE data, integrating new functional data as well as new cell and tissue types.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Melanoma cells lacking SOX10 are tolerant to MAPK inhibition (MAPKi) due to elevated TAZ-driven TEAD signaling. Here, the authors develop two inhibitors of TEAD, capable of resensitising SOX10 knockout melanoma cells to MAPKi and offering a strategy to overcome drug tolerance and improve treatment response.

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.

Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait.

Determinants of WEE1 inhibitor sensitivity in cancer cells are largely undefined. Here, the authors show that WEE1 inhibitors beyond their cell cycle perturbing effects also lead to paradoxical activation of the integrated stress response kinase GCN2.

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.

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.

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.

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.

The combination of computational design, laboratory-based screening and biophysical validation enables the de novo generation of variable heavy-chain antibody fragments and antibodies that precisely target chosen disease-related molecules.

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 authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

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.

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.

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.

Clear cell renal cell carcinoma (ccRCC) bears the hallmark loss of VHL but remains incurable. Here, the authors identify the SLC1A1 dicarboxylic amino acid transporter as an actionable, oncogenic, HIF-independent, metabolic dependency in VHL-deficient ccRCCs.

Mantle cell lymphoma (MCL) is a form of B-cell non-Hodgkin lymphoma with a high degree of genetic and clinical heterogeneity. Here, using a multi-omics approach, the authors investigate genetic alterations in association with the tumour microenvironment to identify potential therapeutic vulnerabilities.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

Why animals prefer novel social encounters over familiar ones is unclear. Here, authors find that mesolimbic dopamine encodes novel social interaction bout length; whereas familiar social encounters are shortened by an IPN→LDTg circuit that restricts dopamine to control novelty preference.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

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.

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.

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.

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.

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.

This study demonstrates that high alcohol concentrations during binge drinking activate a small GABAergic neuronal ensemble in the medial orbitofrontal cortex, which subsequently reduces further alcohol consumption. This effect is mediated by the ensemble’s projections to the mediodorsal thalamus.

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.

Mice lacking A Disintegrin and Metalloproteinase 9 (ADAM9) do not mount Type 1 interferon responses against encephalomyocarditis infection. Here, Bazzone et al show that ADAM9 regulates innate immune responses via by MDA5.

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.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

A multi-ancestry genome-wide association study meta-analysis, combined with transcriptome- and methylome-wide association analyses, identifies risk loci associated with colorectal cancer. Credible effector genes and their target tissues are also highlighted, showing that over a third probably act outside the colonic mucosa.

In a prospective study enrolling 1,222 patients from 22 emergency departments, a device using a machine-learning-based signature of blood mRNAs demonstrated clinically acceptable performance to diagnose bacterial and viral infections and to predict the all-cause need for critical care interventions within 7 days, with benchmark to established biomarkers and risk scores.