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Start with pen and paper, keep things simple, do your coding at the end, say data visualization specialists.

BPTF is known to regulate chromatin accessibility and self-renewal in mammary epithelial stem cells. Here, the authors discover that BPTF inhibition delays tumor formation, re-activates ERα expression, increases sensitivity to tamoxifen treatment, and inhibits metastatic development.

Genomic deletions in poxviruses are not well understood, the authors found large deletions in >2% of Mpox virus genomes during routine surveillance, highlighting their role in poxvirus evolution and potential impact on diagnostics and therapeutics.

This study introduces single-cell transcription factor (TF) sequencing, a single-cell barcoded and doxycycline-inducible TF overexpression approach that reveals dose-sensitive functional classes of TFs and cellular heterogeneity by mapping TF dose-dependent transcriptomic changes during the reprogramming of mouse embryonic multipotent stromal cells.

As presented at the 2025 World Conference on Lung Cancer, in a multiarm phase 2 trial, perioperative immunotherapy was safe and feasible in patients with resectable diffuse pleural mesothelioma, with exploratory data suggesting that ctDNA kinetics could be informative of tumor regression and post-treatment survival.

Cell state plasticity of neuroblastoma cells is linked to therapy resistance. Here, the authors develop a transcriptomic and epigenetic map of indisulam (RBM39 degrader) resistant neuroblastoma, demonstrating bidirectional cell state switching accompanied by increased NK cell activity, which they therapeutically enhance by the addition of an anti-GD2 antibody.

This study explores the genomic and transcriptomic landscapes of triple-negative breast cancer in African American women. The authors show that the mutational profile is broadly similar to that observed in European and East Asian ancestry women while highlighting some interesting differences.

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.

Engineer-turned-artist Diana Scarborough and inorganic chemist Anna Melekhova describe how their art–science collaboration gave voice and form to a new material.

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.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Here the authors show that lung epithelial, fibroblast, and endothelial cells retain an imprint of influenza A infection, including increased MHCI/II expression and that re-infection is quickly controlled by a localized antiviral response acting before memory T cells are required.

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.

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).

In this Perspective, members of the Aging Biomarker Consortium outline the X-Age Project, an Aging Biomarker Consortium plan for building standardized aging clocks in China. The authors discuss the project roadmap and its aims of decoding aging heterogeneity, detecting accelerated aging early and evaluating geroprotective interventions.

Lee et al. show that the circadian clock protein REV-ERBα controls brain NAD⁺ levels by regulating the NAD⁺-consuming enzyme CD38. Global or astrocytic REV-ERBα deletion or pharmacologic REV-ERB inhibition protects against tau pathology in mice.

BRCA1 and BRCA2 are well known breast cancer predisposition genes, however, many variants have not yet been classified for their pathogenicity. Here, the authors analyse a large combined cohort to provide evidence of variant pathogenicity.

Analysis of snRNA genes in individuals with rare disorders identifies de novo and recurrent variants in RNU5B-1 and RNU5A-1, in addition to previously unreported cases with pathogenic or likely pathogenic variants in RNU4-2.

Nonlinear transport effects arising from the quantum metric have been reported in topological magnets at low temperatures. Here, the authors demonstrate a second-harmonic transport response in TbMn₆Sn₆ at room temperature, attributed to the quantum metric and controllable via an applied magnetic field.

Local learning algorithms still fall short of matching the performance of traditional backpropagation. Here, the authors developed the Self-Contrastive ForwardForward algorithm, which leverages contrastive learning principles to enhance unsupervised forward-forward training.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Julie Chih-yu Chen is the head of Data Sciences at the National Microbiology Laboratory, Public Health Agency of Canada, and an Assistant Professor at the University of Manitoba, Canada. She develops and applies statistical and machine learning techniques to diverse omics data related to infectious disease.

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.

In an updated report on 70 laboratory-confirmed highly pathogenic avian influenza A H5N1 cases in the USA between March 2024 and May 2025, the absence of human-to-human transmission to date was confirmed, with no known mutations of resistance to neuroaminidase inhibitors.

Visual threat triggers contrasting freeze and escape defensive responses in two species of deer mice as a result of different activation thresholds downstream of the superior colliculus in the dorsal periaqueductal grey.

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.

Ambient air pollution exposure in early childhood has been linked to infection risk but the mechanism is unclear. Here, the authors investigate the association between air pollution-linked proteomic profiles in pregnancy and infection in early childhood using data from Denmark and Sweden.

In a large trial of patients with recurrent high-grade gliomas, IL-13Rα2-targeting CAR-T cells were feasible to manufacture and well tolerated when delivered via intratumoral and/or intraventricular routes.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

Transcriptome-wide m⁶A RNA methylation profile in 162 primary prostate tumors identifies m⁶A association with prognostic clinical features and disease aggression.

The CAPItello-291 phase 3 study reported that capivasertib (an AKT inhibitor) and fulvestrant (a selective estrogen receptor degrader) improved progression free survival in patients with HR-positive/HER2-negative advanced breast cancer. Here, the authors report the results of an extended Chinese cohort recruited as part of the original global CAPItello-291 study.

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.

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.

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.

A genome-wide association study identifies 17 genetic loci that are associated with the risk of myeloproliferative neoplasms (MPNs), and shows that the modulation of haematopoietic stem cell function drives MPN risk.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

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.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

Characterization of the genetic architecture underlying the 7 pairs of contrasting traits studied by Mendel and the over 70 additional agronomic traits in pea (Pisum sativum) reveals their molecular details and provides tools for further studies in pea genetics, functional genomics and crop improvement.

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.

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.

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.

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.

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.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.