Biology subjects

Powell, J.

Publications and source records attributed to Powell, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Site Specific Hydration Contributes to the Thermal Stability of Proteins and Protein-Complexes

Water is integral to protein structure and stability, yet ensemble measurements rarely identify the hydration interactions associated with stabilization. Here, variable-temperature electrospray ionization ion mobility mass spectrometry, conformation-resolved thermodynamic analysis, and molecular dynamics simulations are combined to examine solvent-dependent thermal stability of chymotrypsin inhibitor 2 (CI-2), a model two-state folder, and the barnase-barstar (Bn-B*) complex, which contains a highly polar binding interface. Replacing H2O with D2O raises the thermal transition temperature of both systems by approximately 3 {degrees}C, favors compact conformations, and reduces the relative thermodynamic accessibility of extended states. The conformationally resolved enthalpy-entropy compensation reveals D2O increases enthalpy for CI-2 but reduces enthalpy for Bn-B* as a result of opposing effects on the individual subunits of the complex. Molecular dynamics simulations reveal that lower solvent-accessible surface areas and fewer protein-water hydrogen bonds in D2O coexist with longer water residence times at specific structural sites. In CI-2, the strongest changes localize to the second {beta}-strand/C-terminal region; in Bn-B*, persistent hydration is concentrated at the charged protein-protein interface. Together, these results support a model in which D2O dependent stabilization is associated not only with the extent of hydration, but the site and lifetime of water interactions. More broadly, this work provides an experimental framework for resolving solvent-dependent conformational thermodynamics of protein unfolding and interactions, enabling direct comparison of free-energy landscapes across solution environments.

biochemistry↗

bioRxiv2026

Pseudomonas aeruginosa R-bodies deliver an ADP deaminase toxin

Diverse bacteria produce proteinaceous polymeric coils called R-bodies (refractile bodies), which extend into ~10 m-long needles in response to environmental triggers. It has been proposed that R-bodies deliver toxins intracellularly after such bacteria are ingested by eukaryotes, but intra-host extension of R-bodies has not been directly observed and these toxins remain unidentified. We use Pseudomonas aeruginosa PA14 and Dictyostelium discoideum to show that R-bodies extend within amoebae. We also identify a novel toxin, DeaR (deaminase associated with the R-body), which contributes to predation resistance and forms a near-megadalton dodecamer with ADP deaminase activity that alters purine metabolism. Our findings elucidate the molecular basis of R-body-mediated toxicity during PA14 infection and provide a paradigm for understanding the potential of cytotoxic effectors delivered by R-bodies (CEDRs) in interkingdom interactions.

microbiology↗

bioRxiv2026

The hidden multiverse of ecological roles in Fungi

Ecological roles are treated as discrete, bounded units of biological organization, even as evidence shows that many taxa are versatile, performing more than one of them. Each record of versatility represents a boundary crossing, yet current categorical paradigms prevent this cumulative evidence from reshaping the roles themselves. We solve this by introducing the ecological multiverse, a self-correcting framework that turns boundary crossings into a network of role connectivity. Applied to Fungi, the multiverse recasts the major form of plant pathogenicity from an isolated disease role into a central hub linking much of fungal functional space, especially benign plant symbioses and decomposition. By exposing this topology, the multiverse transforms categorical views of ecological function into a dynamic map, revealing pathways of role change as organisms and knowledge evolve.

ecology↗

bioRxiv2026

A human developmental and adult brain atlas benchmarks dopaminergic stem cell models and cell therapy candidates

Parkinsons disease (PD) is characterized by the progressive loss of midbrain dopaminergic (mDA) neurons1. Stem cell-derived mDA neurons hold promise for disease modelling2,3 and are currently in clinical trials for cell replacement therapy4-6. However, systematic benchmarking has been limited by the lack of a unified high-resolution reference and methods that quantify incomplete or mixed lineage specification in vitro7. We establish a single-cell and spatial atlas of the human developing diencephalon-midbrain-hindbrain axis resolving 93 cell subtypes, including 39 lacking prior single-cell characterization and 4 entirely novel populations. Using this atlas as a reference, we integrate 19 hPSC-derived mDA datasets, both published2,8-25 and unpublished, to build the Human Dopaminergic Neural Atlas (HDNA) spanning 2D, 3D, and graft models, including those used in clinical trials. To classify cells and quantify lineage fidelity, we develop CapybaraBrain, a marker-driven non-negative decomposition framework that assigns each cell continuous identity scores across all 93 developmental programs, enabling systematic discrimination of discrete, transitioning, and cross-lineage hybrid states26. We uncover a pervasive landscape of off-target populations reflecting relaxed transcriptional boundaries in vitro, including a previously unrecognized TH-PITX2 midbrain neuronal population, and we validate atlas-predicted latent lineage plasticity through inducible genetic fate mapping in mouse models. We further define maturation-associated transcriptional programs by harmonizing adult mDA subtype atlases, revealing that dopaminergic identity and maturation are partially decoupled across protocols. Finally, projecting PD patient-derived tri-cultures onto the HDNA uncovers genotype- and cell-type-specific transcriptional dysregulation. Together, these integrated atlases and computational framework establish a unified standard for benchmarking differentiation fidelity, exposing off-target states, and guiding next-generation PD models and cell therapies.

Developmental Biology↗

bioRxiv2026

A high-resolution atlas of cattle regulatory variants and their cross-species activity in matched human cells

Identifying causal noncoding variants underlying complex traits in cattle remains challenging because high-resolution functional maps of regulatory variation are lacking. Here we combine massively parallel reporter assays with graph genomics to measure autonomous transcriptional activity from >1.5 billion DNA fragments spanning both cattle subspecies. In primary bovine cells, we assay >15 million variants and identify >150,000 expression-modulating variants enriched at cattle eQTL and GWAS loci. This enables the refinement of broad association signals to small sets of candidate functional regulatory variants. Our haplotype-aware framework captures rare, multi-allelic and tightly linked variants poorly resolved by conventional eQTL studies, and quantifies the disproportionate impact of larger variants on transcription. Furthermore, we use these data to train a deep-learning model that successfully predicts bovine promoter activity directly from sequence. Profiling the same cattle DNA in matched primary human cells reveals widespread conservation of promoter and enhancer activity, allelic effects and regulatory grammar, supporting the transfer of annotations and models across species. However, species-dependent effects are enriched in evolutionarily young sequences and p53-family motifs, highlighting the limits to simple cross-species extrapolation. Together, these data provide a high-resolution atlas of cattle regulatory variation and a framework for prioritising causal noncoding variants for cattle trait improvement.

genetics↗

bioRxiv2025

The RUMIGEN EpiChip: a versatile, medium density DNA methylation Beadchip for large scale population studies in cattle

BackgroundDNA methylation contributes to the elaboration of phenotypes and is hypothesized to account for interindividual variations in farm animals. Currently, methodologies available to investigate DNA methylation in cattle rely on high throughput sequencing, which cannot be applied to large cohorts. To enable large scale DNA methylation analysis, we developed the RUMIGEN EpiChip, the first DNA methylation array specifically designed for cattle. ResultsManufactured by Illumina, the EpiChip contains 43,317 CpG markers allowing analysis of phenotypes of agronomical interest as well as the study of regulatory processes. The assay design drew on data from numerous studies achieved by the scientific community, and includes CpGs where methylation varies with health status, physiological stage, fertility, and environmental challenges, as well as CpGs located in functional genomic elements (promoters, CTCF binding sites, expression quantitative trait loci). The technical performances of the EpiChip were tested on several semen and blood DNA samples and in two laboratories, showing excellent repeatability, accuracy and interoperability. Methylation values were also concordant with those obtained by reduced representation bisulfite sequencing. The EpiChip has demonstrated a good ability to explore biological processes such as genomic imprinting and differences between cell types, opening the possibility of inferring blood cell composition. Finally, analysis of longitudinal ear biopsies allowed accurate age prediction, suggesting the potential of the array to refine epigenetic clocks. ConclusionsThe RUMIGEN EpiChip is a cost-effective and versatile resource that opens new opportunities for the study of regulatory mechanisms underlying phenotypic variation and for large-scale association analyses in cattle.

genomics↗

bioRxiv2025

Patient induced pluripotent stem cells identify specificities of a reticular pseudodrusen phenotype in age-related macular degeneration

BackgroundAge-related macular degeneration (AMD) is a leading cause of vision loss. Reticular pseudodrusen (RPD), deposits on the apical side of the retinal pigment epithelium (RPE), signify a distinctive and critical AMD phenotype. Yet, their molecular basis and relationship to the conventional drusen seen in AMD remain unclear. ResultsWe generated induced pluripotent stem cell-derived RPE cells from a clinically phenotyped cohort comprising only individuals with conventional drusen (AMD/RPD-) or drusen coexisting with RPD (AMD/RPD+). From these cells, we generated single-cell transcriptomics, proteomics, and functional data to identify differences between the two cohorts. We show that AMD/RPD+ RPE cells exhibit enrichment in extracellular matrix (ECM) remodelling, cytoskeletal, and hypoxia-responsive programs, whereas AMD/RPD- RPE cells display a relatively greater representation of mitochondrial and protein homeostasis pathways. Both subtypes engaged pathways classically linked to ageing, including ECM remodelling and mitochondrial function, but differed in the direction and extent of these changes. Expression and protein quantitative trait loci (QTLs) highlight shared genetic influences on mitochondrial and iron-handling pathways, while disease-interacting eQTLs and transcriptome-wide association study identify regulatory signals that are distinctive of the RPD subtype within AMD, including through regulation of ECM. Functionally, all iPSC-derived RPE formed drusen-like deposits in vitro: AMD/RPD-lines generated more basal deposits, whereas AMD/RPD+ cells exhibited greater structural instability under bisretinoid-induced stress. ConclusionsThese findings indicate that AMD with and without RPD represent mechanistically distinct entities and provide novel insight into the molecular mechanisms underlying disease heterogeneity in AMD.

genetics↗

bioRxiv2025

Virus induced transgene- and tissue-culture free heritable genome editing in tomato

Genome editing has emerged as a powerful tool for genome manipulation and trait improvement in crops. However, most commonly used approaches rely on tissue culture and transgenic materials, which are time-consuming, labor-intensive, and often strongly genotype-dependent. Here, we developed a tobacco rattle virus (TRV)-based system to deliver the compact ISYmu1 TnpB endonuclease, coupled with in planta shoot regeneration, to achieve somatic and heritable genome editing across different tomato cultivars without tissue culture. By targeting SlPDS, we successfully generated virus-free homozygous mutant progeny in a single generation. Furthermore, we extended this system to the functional analysis of the previously uncharacterized SlDA1 locus, revealing its involvement in organ size regulation, and recovered transgene-free SlDA1 mutants displaying enlarged fruits. Given the wide host range of TRV, our system should be broadly applicable for rapid, non-transgenic and less genotype-dependent heritable genome editing, thereby advancing both functional genomics and crop improvement. SignificanceEfficient genome editing without the need for transgenesis or tissue culture remains a major challenge in crop breeding. Here, we establish a simple single-step system for transgene- and tissue culture-free genome editing in tomato based on Tobacco Rattle Virus-mediated delivery of the compact RNA-guided TnpB enzyme ISYmuI and its guide RNA. This strategy enabled somatic editing of de novo shoots and heritable transmission of targeted mutations to the next generation. Notably, editing an agronomically relevant gene produced tomato plants with larger fruits, highlighting the potential of this system for crop improvement.

plant biology↗

bioRxiv2025

Deep learning the dynamic regulatory sequence code of cardiac organoid differentiation

Defining temporal gene regulatory programs driving human organogenesis is essential for understanding congenital defects. We combined a time-resolved, single-cell multi-omic atlas of human induced pluripotent stem cell-derived cardiac organoids with deep learning models of chromatin accessibility, enabling systematic discovery of cis-regulatory syntax underlying heart development and disease. This framework identified cell-state-specific motif syntax, linked motif instances to candidate target genes, and resolved programs governing lineage divergence. Integrating cell-state-resolved molecular profiles with computationally predicted variant effects from congenital heart disease (CHD) cases enabled the prioritization of noncoding variants predicted to disrupt developmental transitions, supporting the paradigm that disease etiology derives from perturbations to regulatory networks governing cardiogenesis. Experimental validation demonstrated that an intronic ANGPTL2 variant altered differentiation outcomes, implicating ANGPTL2 in CHD. This study bridges developmental regulation with disease genetics, establishing a framework for discovering the genetic and molecular basis of congenital disorders.

genetics↗

bioRxiv2025

A microexon in Arp2 alters tissue-specific Arp2/3-generated actin structures

Arp2, a subunit within the actin nucleator Arp2/3, encodes two splice variants that differ by five residues in the D-loop, a critical element for catalyzing actin polymerization. It is unknown if this alternative exon, or "microexon," impacts Arp2/3 function. Here, we find that the microexon has been evolutionarily retained for over 600 million years yet varies in sequence. We investigate the unique microexon in Drosophila Arp2 and show that the longer "Arp2L" variant is expressed, though less than the short variant, "Arp2s." We purify recombinant Drosophila Arp2/3 containing Arp2s or Arp2L, and although we do not detect differences in actin polymerization bulk assays, the microexon attenuates inhibition by Arp2/3 inhibitors in vitro, suggesting intrinsic differences. We generate flies expressing only Arp2s or Arp2L, and while both splice variants rescue Arp2-knockout lethality, they functionally diverge in late sperm development due to the microexon sequence, not the length. Overall, our findings demonstrate that the Arp2 microexon alters Arp2/3 function in certain contexts.

cell biology↗

bioRxiv2025

Cross-species analysis identifies genotype-driven vulnerabilities in lung adenocarcinoma

While three major genetic alteration subsets, characterized by mutations in STK11, KRAS, and EGFR, are seminal in driving tumorigenesis in LUAD, their distinct effects on tumor cells and the tumor microenvironment are not fully understood. Here, we map critical oncogenic subset-specific vulnerabilities by identifying conserved cell-type-specific reprogrammings between human and mouse LUAD. Through harmonized scRNA-seq analysis of 57 human and 18 mouse specimens, we unveil that genetic alterations impose genotype-specific immune imprints on the tumor microenvironment: KRAS is associated with a transitional immune state, whereas STK11 and EGFR mutations define discrete and contrasting immune phenotypes. We find that STK11-mutant tumors exhibit complement and interferon-rich immune microenvironments while EGFR-mutant tumors harbor a naive T cell-rich phenotype accompanied by a global HLA downregulation, stress-responsive alveolar macrophages marked by MARCO. In the epithelial compartments, cross-species analysis reveals metabolic dependencies, including OGDH in EGFR- and PDE4D in STK11-mutant cells. Statement of SignificanceThis study delineates oncogenotype-specific molecular and immune imprints in lung adenocarcinoma, revealing STK11-, KRAS-, and EGFR-mutated tumors as transcriptionally and immunologically discrete ecosystems. By mapping epithelial vulnerabilities alongside immune imprints, we unveil genotype-imposed dependencies that inform the rational development of precision therapies with direct translational relevance.

cancer biology↗

bioRxiv2025

Novel RNA Polymerase I and Cyclin Dependent Kinase combination therapy for the treatment of aggressive Acute Myeloid Leukemia.

Despite advances in therapy, specific subtypes Acute Myeloid Leukaemia (AML) remains largely incurable. The first-in-class RNA Polymerase I (Pol I) inhibitor, CX-5461, has demonstrated promising activity in both haematological malignancies and solid tumours by selectively inhibiting ribosome biogenesis to induce nucleolar stress, a critical vulnerability in rapidly proliferating cancer cells. CX-5461 has undergone clinical trials for the treatment of both solid and haematological malignancies, and 2nd generation Pol I inhibitor PMR-116 has also entered clinical trials, underscoring the translational potential of drugs that target RNA Polymerase I. To enhance the therapeutic efficacy of Pol I inhibition and prevent the emergence of resistance, we conducted a cell line-based unbiased screen of FDA-approved drugs to identify compounds that might synergise with CX-5461. This screen revealed that the pan-CDK inhibitors Dinaciclib and Flavopiridol enhance nucleolar stress pathway (NSP) activation and are strong candidates for combinatorial therapy with CX-5461. Further analysis showed that the combination of CX-5461 and Dinaciclib acts synergistically across a genetically diverse panel of human AML cell lines. This synergy is dependent on an intact NSP, with both agents independently stabilising p53, but with distinct phenotypic outcomes: Dinaciclib induces rapid apoptosis, whereas CX-5461 primarily enforces cell cycle arrest. This functional complementarity results in efficient tumour cell clearance and likely accounts for the delayed onset of therapy resistance. Importantly, combination treatment with CX-5461 and Dinaciclib significantly improved survival in murine models of AML and reduced colony formation in primary human AML samples. Together these findings provide preclinical evidence for a novel combination treatment strategy that leverages nucleolar stress and cell cycle control to enhance treatment outcomes in AML, paving the way for clinical translation of Pol I-CDK co-targeting therapies.

cancer biology↗

bioRxiv2025

Development and validation of HIV SMRTcap for the characterization of HIV-1 reservoirs across tissues and subtypes

Human Immunodeficiency Virus type 1 (HIV-1) is responsible for the global HIV/AIDS epidemic and the establishment of an integrated HIV-1 reservoir remains the primary obstacle to cure. Upon therapy interruption, reactivation of the persistent HIV-1 reservoir propagates viral rebound and mediates continued immunological decline. While furthering understanding of the HIV-1 reservoir is essential for HIV-1 cure, commonly used sequencing strategies are often limited by the reliance on short-read sequencing across separate assays to determine integration sites and proviral integrity - something that does not always adequately resolve complex human genomic repeats or low complexity regions. Simultaneous identification of proviral integration sites and proviral integrity at the single molecule level would enable HIV-1 reservoir characterization with minimal imputation or bioinformatic reconstruction. Here we present HIV Single Molecule Real Time Capture (HIV SMRTcap), a novel molecular and computational pipeline that directly and simultaneously identifies HIV-1 integration sites, defines proviral integrity, and characterizes clonal expansion of HIV-1 provirus-containing cells with single molecule resolution. In combination with long-read, single-molecule, real-time (SMRT) sequencing and custom analytic pipelines, HIV SMRTcap enables a highly comprehensive characterization of HIV-1 reservoirs. Moreover, we demonstrate here that HIV SMRTcap performs robustly across the major global subtypes (HIV-1 subtype A, B, C, D and A/D recombinant viruses), and can use both cell- and tissue-derived inputs, including samples from antiretroviral therapy (ART) treated individuals with undetectable viral loads. Our results demonstrate that HIV SMRTcap serves as a comprehensive, robust method for unbiased HIV-1 reservoir characterization. Used alone, or in combination with single-cell based methods, HIV SMRTcap will enable novel exploration of viral reservoirs across subtypes and in tissue-specific compartments, providing critical information needed to inform HIV-1 cure.

genomics↗

bioRxiv2024

Targeting and anchoring the mechanosensitive ion channel Piezo to facilitate its inhibition of axon regeneration

Mechanical force orchestrates a myriad of cellular events including inhibition of axon regeneration, by locally activating the mechanosensitive ion channel Piezo enriched at the injured axon tip. However, the cellular mechanics underlying Piezo localization and function remains poorly characterized. We show that the RNA repair/splicing enzyme Rtca acts upstream of Piezo to modulate its expression and transport/targeting to the plasma membrane via Rab10 GTPase, whose expression also relies on Rtca. Loss or gain of function of Rab10 promotes or impedes Drosophila sensory neuron axon regeneration, respectively. Rab10 mediates the cell surface expression of integrin {beta}1 (Itgb1)/mys, which colocalizes and genetically interacts with Piezo, facilitating its anchorage and engagement with the microenvironment, and subsequent activation of mechanotransduction to inhibit regeneration. Importantly, loss of Rtca, Rab10 or Itgb1 promotes CNS axon regeneration after spinal cord injury or optic nerve crush in adult mice, indicating the evolutionary conservation of the machinery.

neuroscience↗

bioRxiv2024

scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework

Transcriptome-wide association studies (TWAS) help identify disease causing genes, but often fail to pinpoint disease mechanisms at the cellular level because of the limited sample sizes and sparsity of cell-type-specific expression data. Here we propose scPrediXcan which integrates state-of-the-art deep learning approaches that predict epigenetic features from DNA sequences with the canonical TWAS framework. Our prediction approach, ctPred, predicts cell-type-specific expression with high accuracy and captures complex gene regulatory grammar that linear models overlook. Applied to type 2 diabetes and systemic lupus erythematosus, scPrediXcan outperformed the canonical TWAS framework by identifying more candidate causal genes, explaining more genome-wide association studies (GWAS) loci, and providing insights into the cellular specificity of TWAS hits. Overall, our results demonstrate that scPrediXcan represents a significant advance, promising to deepen our understanding of the cellular mechanisms underlying complex diseases.

genetics↗

bioRxiv2024

AusAMF: database of arbuscular mycorrhizal fungal communities in Australia

MotivationArbuscular mycorrhizal (AM) fungi are integral to plant nutrient acquisition, carbon cycling, and ecosystem resilience, yet our knowledge of their biogeography is severely limited, especially in the Southern Hemisphere. Australia, despite its landmass and unique geoecological characteristics, has been vastly undersampled, leaving a significant gap in our understanding of AM fungal diversity and distribution. The AusAMF database was created to address this deficiency, the first release comprises AM fungal community data from 610 sampling locations across mainland Australia and Tasmania, collected between 2011 and 2023. Using standardised sampling, DNA extraction, sequencing methods and platforms, this database provides a robust resource for exploring spatial patterns in AM fungal diversity, community composition, and the ecological drivers shaping AM fungal biogeography. The AusAMF database will continue to be updated and maintain standardised approaches to facilitate future research into plant-mycorrhizal interactions, nutrient cycling, and to understand the broader role of AM fungi in ecosystem processes. The data here will provide the foundation for more informed management and conservation efforts in Australia while providing valuable data for global-scale analyses. Main types of variables containedGeoreferenced occurrence and abundance of high-throughput amplicon sequences of arbuscular mycorrhizal (AM) fungi. Spatial location and grainAustralia. Decimal degrees between 0.000001 - 0.1 resolution. Time period and grain2011-2023. Month and year of sampling. Major taxa and level of measurementArbuscular mycorrhizal fungi identified to family, genus, and virtual taxon (VT). Geographic occurrence and amplicon sequence abundance. Software formatInteract with data via online application. Dataset available as .csv files and raw sequencing data as .fastq files.

ecology↗

bioRxiv2024

Mineral Phase Changes During Intervertebral Disc Degeneration

Intervertebral disc disease is a common cause of pain and neurological deficits and is known to be associated with degeneration and calcification. Here we analysed samples of herniated disc material and compared it to material taken from non-herniated discs following surgical treatment in dogs. Our clinical approach to these cases allows collection of samples providing a unique opportunity for a case-controlled study such as this, an opportunity which is not available to the human neurosurgeon. We analysed all samples using Fourier transform infrared (FTIR) spectroscopy, as well as a proportion with X-ray diffraction (XRD) and transmission electron microscopy (TEM). FTIR spectra of the majority of herniated samples were consistent with the presence of crystalline hydroxyapatite, whereas most of the non-herniated discs showed spectra consistent with amorphous phosphate material. XRD analysis and TEM confirmed these findings and identified the amorphous material as amorphous calcium phosphate nanoparticle clusters of [~] 20 nm diameter and the crystalline hydroxyapatite material as needles up to 100 nm in length. The differences between the herniated and non-herniated discs indicate that the degenerative process involves a conversion of amorphous calcium phosphate into crystalline hydroxyapatite which precedes and may predispose the disc to herniate.

neuroscience↗

bioRxiv2024

Adult-type diffuse gliomas share recurring cell states driven by a common astrocyte-like glioma stem cell population

Adult-type diffuse gliomas are a family of aggressive brain tumours with few effective treatments. Their complex cellular makeup adds to the challenge of finding successful therapies. This intratumoural heterogeneity is fuelled by a subpopulation of glioma stem-like cells (GSCs) that drive tumour growth and resistance to standard treatments. Previous research focused on the three glioma types (astrocytoma, oligodendroglioma, glioblastoma) individually revealed malignant cells mimic the transcriptional profiles of normal brain cell types. Whether these diverse cellular states stem from a shared biological origin is unknown. Here, we show through single-cell RNA sequencing of 40 glioma tumours that all gliomas are described by seven recurring cell states. We also identify a shared astrocyte-like GSC population. Our unique method of identifying GSCs, based on reconstructed tumour phylogenies, repositions astrocyte-like cells at the apex of a differentiation hierarchy in glioma. Our findings indicate the transcriptional heterogeneity observed in gliomas stems from a GSC population recapitulating lineages of healthy adult neural stem cells. These results suggest a shared lineage drives the intratumoural heterogeneity observed in adult-type diffuse gliomas. We anticipate that a deeper understanding of the molecular mechanisms maintaining the GSC state will provide a new framework for future therapeutic development and research into glioma cell biology. HighlightsO_LIRecurring cell states are shared across adult-type diffuse gliomas C_LIO_LIReconstructed tumour phylogenies identify an astrocyte-like glioma stem cell population C_LIO_LITumour subclones are segregated non-randomly across cell states C_LI

cancer biology↗