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Most patients with B-cell leukemia respond to chimeric antigen receptor T cell (CAR T) therapy, yet many relapse due to loss of CAR T function. Here, the authors show that the metabolism of CAR T from short- and long-term responders is different, which may explain why CAR T lose functionality.

This study mapped normative growth trajectories of 28 fetal brain phenotypes derived from 4,205 3D ultrasound scans collected across 7 international sites. The low variance between sites reinforces the principle that the brain develops similarly when environmental constraints are minimal.

While therapies targeting type I BRAF mutations have been developed, there are limited options for those with type II and III mutations. Here, the authors identify a subset of BRAF-mutant non-small cell lung cancer patients and characterise the pan-RAF inhibitor exarafenib, demonstrating efficacy in preclinical models and investigating subsequent resistance mechanisms.

Here the authors present scLong, a billion parameter foundation model trained on 48M single cells, using self attention across all 28k human genes and Gene Ontology knowledge. It captures long range gene context in single Cell transcriptomics.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

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

Cryogenic electron microscopy structures of human Ostα/β uncover a unique transport pathway featuring two substrate-binding sites connected by an amphipathic helix-gated conduit, and electrophysiological studies demonstrate voltage-sensitive, bidirectional transport, showing its efflux role in vivo.

The synthesis of unprotected C-heteroaryl glycosides is challenging because of the lack of methods to utilize native saccharides as substrates. Now these compounds, capped as redox-active glycosyl sulfide donors, undergo C–C coupling with N-heteroarenes through a photoinduced, thiyl radical-mediated reaction with control over the chemo-, site- and stereoselectivity.

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.

Spatial multi-modal data analysis using embeddings from diverse foundation models (spEMO) represents a transformative approach that unifies embeddings from pathology foundation models with those from large language models to advance spatial multi-omics research.

The anterior cingulate cortex encodes affective pain behaviours modulated by opioids; targeting opioid-sensitive neurons through a new chemogenetic gene therapy replicates the analgesic effects of morphine, providing precise chronic pain relief without affecting sensory detection.

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.

Several recent publications have attempted to detect novel unannotated microproteins using mass spectrometry proteomics. Here, the authors reassess these claimed microprotein detections, finding that many are poorly supported, while a subset represents likely genuine discoveries of novel proteins.

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.

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.

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.

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 vasopressin V2 receptor (V2R) is a key regulator of water balance, and its antagonists are promising therapeutics for hyponatremia. Here, the authors offer structural insights into antagonist recognition and antagonism of V2R.

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.

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.

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.

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.

The biological clock model LifeClock predicts biological age across all life stages from routine clinical data, revealing distinct pediatric and adult disease risk patterns.

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

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.

Hematoxylin and eosin (H&E) staining is a widely used method in histopathology, but it cannot directly inform about specific molecular markers. Here, the authors present ROSIE, a deep-learning framework that computationally imputes the expression and localisation of dozens of proteins from H&E images.

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.

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.

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.

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.

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.

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.

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.

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.

Assessing the degree to which medical large language models reliably convey existing, trustworthy knowledge is crucial. This study introduces SourceCheckup, an automated framework revealing that large language models frequently cite medical references that do not fully support, or even contradict, their responses, showing significant gaps in reliability for clinical use.

The visual signals transmitted by the retina to the brain are affected by random drift in eye position, but the impact of this on visual capabilities is not clear. Here, the authors show that the decoding of images from evoked spike trains recorded in the macaque retina improves with fixational eye movements, even when the eye position is unknown.

This study reveals that the protein AKAP11 plays a crucial role in regulating neuronal signaling and synaptic function by linking PKA activity to autophagy. Loss of AKAP11 distorts compartment-specific PKA and GSK3α/β activities and impairs neurotransmission, highlighting a shared molecular pathway between bipolar disorder and schizophrenia.

The ability to resist compaction has widespread implications for reverse osmosis (RO) membrane technology. Here the authors present a class of thin-film crosslinked composite reverse osmosis membranes that resist physical compaction at ultrahigh pressures.

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.

Cellular senescence is an underlying mechanism of aging. Among older Americans, higher expression of genes linked to cellular senescence is seen in women and those with class II obesity, and is associated with worse health outcomes.

Lo and colleagues report that double-positive thymocytes from neonates express less Zap70 and show reduced Ca^2⁺/NFAT signaling compared to double-positive thymocytes from older thymi. This diminished Ca^2⁺ signaling alters negative selection for self-reactive TCRs, resulting in a cell-intrinsic temporal window for regulatory T versus conventional T cell development in the thymus.

High-density multimodal soft bioelectronic fibres provide a platform for minimally invasive implantable electronics, where diverse sensing and stimulation functionalities can be effectively integrated.