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Kim, Wang, Clow and colleagues show that long-range chromatin loops bringing distal enhancers or super-enhancers together with promoters are cohesin dependent and cell type specific, whereas most short-range and promoter-centric transcriptional loops are cohesin independent and constitutive.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

The CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

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

The evolution of cutaneous squamous cell carcinoma (cSCC) remains poorly understood. Here, the authors employ multi-omics and multi-scale analyses to explore the genetic evolution of keratinocytes to cSCC, finding key pathogenic mutations that break the resistance to ultraviolet radiation as well as spatial heterogeneity patterns.

Sivanandan, Leitmann, and colleagues present the CellPaint-POSH platform, which combines pooled CRISPR screening with Cell Painting. Using self-supervised deep learning on cell images, the method enables discovery of gene function and biological networks.

Kang, Lazo de la Vega et al. introduce iCatalog, a precision oncology reporting tool developed to address the needs of a large multi-institutional pediatric study. iCatalog combines a database for patient, sample, and genomic data to enable clinical interpretation of patient-level tumor profiling results.

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.

Light can charge metal nanoparticles. Here, the authors present a method that allows the charging to be observed in situ, making it possible to model the process quantitatively as nanorods that behave like photocharged nanocapacitors.

Glioblastoma (GBM) is characterized by a high degree of heterogeneity and plasticity due to interplay with neural developmental programs. Here, the authors develop a model of GBM by introducing sequential oncogenic mutations in human neural stem cells and using this, identify INSM1 as a driver of a neural progenitor gene network promoting tumorigenesis.

Embedding non-porous MXene film into metal thin films can achieve unprecedented shielding performance, which can be used to protect electronic components and equipment from electromagnetic noise.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

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.

Activity in a set of parabranchial neurons in the mouse brain is increased during chronic pain, predicts coping behaviour, and can be modulated by circuits activated by survival threats.

Polygenic scores and partitioned polygenic scores related to insulin resistance derived in multiancestry populations show distinct association with neurological outcomes

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.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

Generating organized kidney tissues from human pluripotent stem cell is a major challenge. Here, Freedman et al. describe a differentiation system forming spheroids and tubular structures, characteristic of these kidney structures, and using CRISPR/Cas9, delete PKD1/2, to model polycystic kidney disease.

Proteome allocation to anabolic and catabolic functions is significantly regulated by growth rate in the model bacterium Escherichia coli. By contrast, this article shows that proteome allocation is only partially controlled by growth rate, and metabolic rates are primarily controlled post-translationally, in the thermophilic acetogen Thermoanaerobacter kivui.

Intravital imaging reveals macrophage-driven de novo induction of cancer stem cells in vivo, and their dramatic enrichment on dissemination through TMEM doorways. These findings provide a mechanism for the validated ability of TMEM doorway density to be prognostic for distant recurrence of metastatic tumors in breast cancer patients.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Pathogenic variants in UNC13A underlie a novel neurodevelopmental syndrome, with three subtypes defined by distinct genotypes with varying clinical and functional impacts characterized in cellular and animal models.

B7x is a B7-family ligand with suppressive effects on effector T cells. Here the authors show that tumor-expressed B7x promotes the conversion of conventional CD4+ T cells into regulatory T cells within the tumor microenvironment to promote immune evasion and resistance to anti-CTLA-4 therapy.

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.

Jayavelu, Samaha et al., apply machine learning models on hospital admission data, including antibody titers and viral load, to identify patients at high risk for Long COVID. Low antibody levels, high viral loads, chronic diseases, and female sex are key predictors, supporting early, targeted interventions.

The CMS Collaboration reports evidence for off-shell Higgs boson contributions in the production of Z boson pairs, and measures the width of the Higgs boson, which is inversely related to its lifetime.

The intrinsic robustness to perturbations makes antiferromagnets ideal building blocks for spintronic devices, however, it also manipulation and detection of antiferromagnetic ordering difficult. Here, Xu et al demonstrate an anisotropic tunnelling magnetoresistance in an all-antiferromagnetic tunnel junction.

The role of long non-coding RNAs (lncRNAs) in metastatic colorectal cancer (mCRC) and treatment resistance is unclear. Here, the authors use transcriptome sequencing of matched normal, primary, and metastatic CRC tissues to discover and validate that lncRNA RAMS11 promotes metastasis and resistance to topoisomerase inhibitors in mCRC.

The most up-to-date combination of results on the properties of the Higgs boson is reported, which indicate that its properties are consistent with the standard model predictions, within the precision achieved to date.

Using whole-embryo imaging and point cloud analysis, Brambach et al. reveal that global tissue diversity can be reduced to two organisational archetypes, crystalline and amorphous, each requiring specific cadherin expression during development.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

Prolonged NOD2 ligand engagement induces tolerance and attenuated NOD2 signalling, but the molecular mechanisms leading to this tolerance induction are unclear. Here the authors show that the degradation of a NOD2 adaptor, RIP2, by the E3 ligase ZNRF4 is essential for the down-regulation of NOD2 signalling.

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.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

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

Human pluripotent stem cells are differentiated into renal vesicles that spontaneously form kidney organoids.

Accurate segmentation of ischemic stroke lesions from brain MRI is crucial for timely diagnosis and treatment planning. Here, the authors present DeepISLES, an AI ensemble for stroke MRI analysis that outperforms previous methods and matches expert radiologist performance in identifying stroke lesions.

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.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

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.

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.

It is important to understand why some individuals in endemic regions acquire natural immunity against malaria while others remain susceptible. Here authors show that during episodes of Plasmodium falciparum malaria, circumsporozoite-specific cytolytic memory CD4⁺ T cells are clonally expanded in patients, and those with clinical immunity demonstrate reduction in the chemotactic and inhibitory receptor expression in ZEB2⁺ memory CD4⁺ T cells.

Genome-wide association studies (GWAS) have improved our understanding of the genetic basis of lung adenocarcinoma but known susceptibility variants explain only a small fraction of the familial risk. Here, the authors perform a two-stage GWAS and report 12 novel genetic loci associated with lung adenocarcinoma in East Asians.

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.

A consensus cell type atlas for the fly brain provides both an intellectual framework and open-source toolchains for brain-scale comparative connectomics.

Several recent works have highlighted the importance of the orbital currents in transferring angular momentum within materials. In combination with spin-orbit coupling, such orbital currents can be used to alter the magnetization of a material. Herein, the authors demonstrate the inverse effect, showing orbital current driven terahertz emission in Nickel based heterostructures.