Biology subjects

James, J.

Publications and source records attributed to James, J..

At least 19 recordsLinked to original sources

bioRxiv2026

The mammalian-adaptive PB2-E627K substitution preserves viral fitness of clade 2.3.4.4b H5N1 HPAIV in birds.

Since emerging in 2020, clade 2.3.4.4b H5N1 high pathogenicity avian influenza virus (HPAIV) has disseminated globally, causing substantial infection and mortality in wild birds and poultry. Additionally, numerous spill-over events into mammals have occurred, including mass mortalities and sporadic human infections. Such events can drive the acquisition of mammalian-adaptive mutations, which further increase the risk to humans; the most well characterised mutation is the glutamate to lysine change at amino acid position 627 in the polymerase basic 2 protein (PB2-627K). Across avian influenza viruses, PB2-627K enhances polymerase activity and replication in mammalian cells, increasing zoonotic and pandemic potential. However, bioinformatic analyses indicate that PB2-627K remains rare among clade 2.3.4.4b H5N1 viruses circulating in avian populations. Here, we investigated the impact of PB2-627K on viral fitness in avian hosts to assess the potential for mammalian-adapted viruses to re-establish in birds, mimicking infection of avian species following scavenging on mammalian species where PB2-627K has already emerged. Using a representative H5N1 virus (European genotype AB), PB2-627K increased polymerase activity and replication in human cells without compromising replication in avian cells. A mammalian-derived PB2-627K H5N1 isolate from a fox exhibited comparable replication kinetics and transmission efficiency in chickens and ducks to a closely related PB2-627E virus. Notably, PB2-627K remained genetically stable at consensus level following infection and transmission in both avian hosts. These findings demonstrate that mammalian-adaptive mutations acquired during spill-over can be maintained in avian populations, potentially elevating zoonotic risk and underscoring the importance of surveillance for such mutations in birds.

microbiology↗

bioRxiv2026

Revolutionising notifiable avian disease diagnostics: validation of direct swab testing for Avian Influenza and Newcastle disease using the CENOS platform

Existing molecular diagnostic approaches for notifiable avian diseases (NADs) involve a suite of PCR assays that enable both generic detection, and where positive, subtyping of both avian influenza virus (AIV) and Newcastle disease virus (NDV). Novel rapid and direct diagnostic assays for the detection of AIV and NDV were developed and evaluated using unprocessed cloacal (C) and oropharyngeal (OP) poultry swab material. Both assays employ a closed tube direct real-time reverse transcription polymerase chain reaction (RRT-PCR) approach in which viral lysis is achieved by heat treatment and a dedicated PCR compatible buffer, followed by detection using a RRT-PCR approach. Primer and probe sets were designed using globally circulating AIV and NDV sequences collected over the preceding five years, rather than region-specific sequence datasets, so that the assays detect all circulating genotypes. Analytical performance assessment demonstrated that both assays were highly sensitive and specific, successfully detecting all unextracted target antigens without cross reactivity to a panel of other common poultry pathogens. For each assay, viral lysis and amplification were achieved directly from samples at single digit genome copy numbers. Furthermore, low levels of viral RNA could be reliably detected in the presence of C and OP matrix material, providing proof-of-concept for direct detection of these economically significant avian pathogens in a field setting. Additional use case scenarios, including pooled sample screening and combined C/OP testing from individual birds, were also explored. These findings establish a foundation for ongoing studies incorporating paired-sample testing against validated laboratory reference assays.

molecular biology↗

bioRxiv2026

Efficient Isolation and Phenotypic Characterization of Primary Rat Pulmonary Pericytes

Pericytes are essential regulators of pulmonary vascular homeostasis, but their isolation from rat lung tissue is challenging because no single marker uniquely identifies them and contaminating fibroblasts, endothelial cells, hematopoietic cells, and vascular smooth muscle cells can persist during isolation and culture. Here, we describe a rapid and efficient protocol for the isolation of primary rat pulmonary pericytes using sequential magnetic depletion of CD45-positive hematopoietic cells and CD31-positive endothelial cells, followed by positive selection for NG2-positive cells. The isolated cells were expanded in culture and characterized by immunofluorescence and functional co-culture assays. Cultured cells displayed typical pericyte morphology and expressed the pericyte-associated markers NG2, PDGFR{beta}, and 3G5, with minimal expression of CD31, CD45, PDGFR and MYH11. In endothelial cell-pericyte ECM gel co-culture assays, isolated pericytes associated with endothelial cords and were frequently observed near network branch points and junctions, further supporting their pericyte identity. This method yields an enriched population of primary pulmonary pericytes suitable for downstream applications, including cell culture and functional studies. Overall, this streamlined protocol provides a practical platform for studying pulmonary pericyte biology in rat models of health and vascular disease.

cell biology↗

bioRxiv2026

Vinculin organises apical Transcellular Actin Fibres to coordinate collective migration

Collective cell migration is coordinated by adherens junctions (AJs) which serve both as structural links between the actin cytoskeleton of adjacent cells, as well as mechano-transductory structures allowing cells to transmit mechanical signals. Vinculin contributes to AJ maturation in multiple ways, binding to actin and the cadherin-catenin complex, bundling actin filaments, antagonising branched actin polymerisation and recruiting late AJ proteins. Here we have analysed the effect of vinculin on junctional actin organisation and its role in collective migration during unjamming in the human epithelial cell line MCF10A. At the apical surface of MCF10A monolayers, we found transcellular actin fibres (TAFs) that are directionally coordinated across long ranges, up to 10 cells. These TAFs are contractile and "cross" cell-cell contacts at AJs. Analysis of a vinculin knockout cell line revealed that this protein is essential for the coordination of TAFs across multiple cells. Arp2/3 activity must be tightly regulated to establish a long-range network of TAFs, since its downregulation by CK666 treatment, as well as its upregulation by the expression of an activated Rac1 mutant or a mutation that prevents the vinculin-Arp2/3 interaction, all impair TAF formation. During hypotonic unjamming of monolayers, we found that MCF10A cells with long-range TAFs migrate more collectively than vinculin KO cells in which TAFs only connect adjacent cells. Similarly, space-induced unjamming of MCF10A and vinculin knockout monolayers showed that cells connected by the long-range TAFs can collectively coordinate the direction in which they extend their lamellipodia. Thus, we show that vinculin plays a novel role in organising long-range actin networks across multiple cells and coordinating collective migration within cell monolayers.

cell biology↗

bioRxiv2026

Evolution of songbird vocal imitation involved multiple cellular innovations

A central goal of evolutionary neuroscience is to link behavioral adaptations to changes across the central nervous system. The dorsal telencephalon (i.e., pallium) varies widely in macrostructure across vertebrate clades and is thought to underlie the diversity of complex vertebrate behaviors. Yet, pallial cell types appear comparatively constrained in their evolutionary specializations relative to other parts of the nervous system, even across species with notable behavioral adaptations. Instead, differences among pallial neurons largely reflect their topographic organization. Here, we show that although transcriptomic identities of cell types in the songbird pallium largely follow this pattern, multiple cellular innovations exist within the vocal imitation brain regions distributed across the pallium. These include behavior-linked specializations to glutamatergic cell types in each region and the presence of PV- and SST-like GABAergic neurons unique to vocal imitation circuits. Additionally, we identify a concerted increase in glial composition that is accounted for by elevated proportions of astrocytes across vocal imitation circuits. These findings demonstrate that complex learned behaviors, such as vocal imitation, can be associated with the emergence of novel, behavior-associated cell types in the pallium; suggesting that selective pressures can, in some uncommon cases, favor functional specialization over conserved developmental constraints.

neuroscience↗

bioRxiv2026

Gene-level complexity explains genome-wide variation in the distribution of fitness effects

The distribution of fitness effects (DFE) -- describing how harmful, neutral, or beneficial new mutations are -- is central to understanding how populations evolve. Although the DFE varies across genomes and species, it remains unclear which aspects of genomic organization drive this variation. Here, we inferred gene-level selective constraints across the genomes of Mus musculus castaneus, Drosophila melanogaster and Saccharomyces cerevisiae using a combination of population genetics and machine learning trained on diverse gene features. Many gene features were predictive of selective constraint, with conservation, gene structure, and expression being the most informative. These selective constraints delineated gene classes with distinct DFEs. Genes with higher connectivity and expression -- features reflecting how many traits a gene influences -- experienced stronger and less dispersed deleterious effects with increasing selective constraint. Between species, the rate of adaptation decreased with increasing organismal complexity, whereas across the genome it did not decrease monotonically with selective constraint, but tended to be higher at intermediate levels. While between-species comparisons of DFE parameters were less consistent with predictions of Fishers geometric model (FGM) based on organismal complexity, variation in DFE parameters across the genome aligned more closely with FGM when complexity was considered at the gene level. Our results suggest that gene-level complexity, captured by genomic feature proxies, provides a more informative definition of complexity for DFE variation than organism-level labels, and highlight the value of using gene features collectively to link genomic architecture, fitness landscapes, and patterns of molecular evolution.

evolutionary biology↗

bioRxiv2026

Bovine H5N1 influenza viruses have adapted to more efficiently use receptors abundant in cattle

Sustained mammal-to-mammal transmission of high pathogenicity H5N1 avian influenza viruses is reshaping the host range of these pathogens. One of the longest-running mammalian transmission chains involves the B3.13 genotype circulating in U.S. dairy cattle which was detected in early 2024. Genomic analyses revealed selection and rapid fixation of haemagglutinin mutations D104G and V147M. We demonstate, via glycomic profiling, that bovine tissues, including the mammary gland, are enriched in N- and O-linked glycans capped with N-glycolylneuraminic acid (NeuGc), a sialic acid absent in humans and birds, which instead express only N-acetylneuraminic acid (NeuAc). Early cattle H5 viruses poorly recognized NeuGc, but D104G and V147M enabled efficient engagement of both NeuAc- and NeuGc-containing receptors. These mutations enhanced replication in bovine mammary tissue without major attenuation of replication in human lung and primary nasal epithelial cells. NeuGc-driven receptor adaptation therefore promotes viral fitness in cattle while potentially limiting immediate zoonotic risk. Deep mutational scanning further identified alternative haemagglutinin substitutions that confer NeuGc usage and represent surveillance markers for emerging cattle H5 lineages.

microbiology↗

bioRxiv2026

Dispersal, adaptation and persistence of H5N1 in the sub-Antarctic and Antarctica

High pathogenicity avian influenza virus (HPAIV) H5N1 reached the sub-Antarctic and Antarctica in 2023, subsequently spreading to remote locations within this region where it had devastating impacts on seal, penguin and albatross populations. The threat to marine wildlife over this broad area exemplifies the need to understand H5N1 long-distance dispersal and evolution. We obtained 104 novel viral genomic sequences from samples that we collected at South Georgia, Kerguelen, Crozet, Prince Edward, Falklands/Malvinas Islands and the Antarctic Peninsula in a region spanning 8,000 kilometers. Using recent phylogeographic modeling advances we show that H5N1 spread encompassed numerous transmission events between distant locations, accumulating mammalian-adaptive mutations in the process. Seals are the most affected species, but we reveal that the long-distance eastward virus dispersal better aligns with the long-distance movements of large petrels and albatrosses. The risk of H5N1 endemisation, dispersal to other locations and ongoing evolution are highly concerning.

microbiology↗

bioRxiv2026

Isothermal Detection of Influenza D using RT-LAMP

The Orthomyxoviridae family includes influenza D virus (IDV), an emerging pathogen primarily affecting cattle and swine, with evidence of cross-species transmission and potential zoonotic risk. Although active human infections have yet to been confirmed, high seroprevalence in cattle-exposed populations highlights the need for continued surveillance. Here, a rapid, field-deployable RT-LAMP assay for IDV detection was developed and validated, with 99.2% specificity and sensitivity ranging from 95.6% (Cq < 30) to 81.8% (Cq < 40). This method offers a cost-effective, accessible alternative to RT-qPCR, enabling improved monitoring of IDV, and reinforcing preparedness for emerging influenza threats.

microbiology↗

bioRxiv2025

The effect of genome organisation on selection efficiency in two contrasted plant species

Does the distribution of fitness effects of new mutations vary across the genome? Under the classical Fisher Geometric Model (FGM) we might not expect it to. In FGM, phenotypic traits are envisioned as dimensions of a landscape, with fitness determined by position in the landscape, i.e., the particular combination of traits of an individual. New mutations are represented by vectors that move from an ancestral to a new phenotype. In classical FGM these vectors affect all trait dimensions simultaneously (universal pleiotropy). However, introducing partial and modular pleiotropy into an FGM framework leads to an expectation that parameters of the DFE will vary with mutational pleiotropy-the number of traits affected by individual mutations. Here we address this prediction by investigating whether traits related to mutational pleiotropy, expression level and network connectivity, affect the parameters of the DFE using whole genome data from A. thaliana and C. grandiflora, two closely related Brassica species that vary significantly in their demography and mating system, and therefore, in effective population size and the effects of linked selection. Results were similar across both species. We found that expression level and network connectivity were predictive of the parameters of the deleterious DFE, even once co-correlations among genome biology traits were accounted for. Our results suggest that, across the genome, molecular evolutio(high mutational pleiotropy). nary patterns agree with the predictions of FGM, albeit relaxing the assumption of universal pleiotropy, and that variation in mutational pleiotropy among genes is sufficient to have detectible effects on the DFE. Significance statementHow do the effects of new mutations vary across the genome? If mutations in some genes affect many traits (high mutational pleiotropy), we hypothesise they will be more strongly deleterious, with lower variance in their selective effects. We test this by investigating the distribution of effects of new mutations across genes that vary in features that are related to mutational pleiotropy: expression level, gene network connectivity, and number of associated GO terms. The mean strength and coefficient of variation of selection of new mutations varied across genes with different features in the manner expected by our hypothesis. This demonstrates that important parameters of molecular evolution can vary across the genome with genome architecture.

evolutionary biology↗

bioRxiv2025

Microscopic PhotoSelection (MiPS) of single cells in mother machine microfluidic devices

Techniques for selecting or sorting single cells within large populations of genetic variants are central to synthetic biology and biotechnology. Widely-used methods such as Fluorescence Activated Cell Sorting (FACS) enable rapid processing of large libraries, but are restricted to low-dimensional measurements taken at a single time point. As a result, sorting based on dynamic or multi-trait phenotypes--such as transient properties and properties that occur on fast timescales or in response to dynamic actuating signals--remains fundamentally challenging. Here we introduce Microscopic PhotoSelection (MiPS) which employs an automated robotic platform for single-cell selection based on multiple dynamic criteria, directly on microfluidic mother machine devices. The system couples long-term single-cell imaging with real-time analysis and selective optical targeting, allowing fully automated enrichment using high-intensity UV light or alternative wavelengths with the addition of photosensitisers. By targeting many cells in parallel, our platform overcomes throughput limitations of existing microfluidic-based selection technologies such as optical tweezers or droplet-based methods and provides a direct approach to select cells based on time-resolved, multi-trait phenotypes. We demonstrate the ability to perform in vivo selection and outline how iterative, feedback-based selection strategies can refine enrichment across multiple rounds. Taken together, our work establishes a high-throughput selection framework integrated into microfluidic devices, enabling applications in directed evolution, biosensor optimisation, circuit engineering, and diagnostics, where selection based on dynamic, multi-trait phenotypes is essential.

bioengineering↗

bioRxiv2025

TIF1γ drives oral cancer recurrence by the transcriptional regulation of self-renewal genes, such as HES1

TIF1{gamma} is an E3 ubiquitin ligase and key mediator of the noncanonical TGF-{beta} signaling pathway. Initially characterized for its developmental functions, TIF1{gamma} is essential for maintaining the pluripotency of adult stem cells, including long-term hematopoietic stem cells. Although TGF-{beta} signaling contributes to cancer progression and recurrence, TIF1{gamma} has traditionally been regarded as a tumor suppressor due to its inhibition of oncogenes involved in epithelial-mesenchymal transition. However, clinical reports have associated high TIF1{gamma} expression at advanced cancer stages with poor prognosis. To elucidate the mechanism underlying this paradox, we identify a previously unrecognized role of TIF1{gamma} in promoting the self-renewal capacity of oral cancer cells, thereby contributing to disease recurrence. Phosphoproteomic profiling of self-renewal-enriched cells revealed activation of a noncanonical TGF-{beta} pathway. Using extreme limiting dilution assays, an ALDH1A1-DsRed2 cancer stem cell reporter, multiple oral cancer cell lines, primary 3D cultures on alginate matrix, and orthotopic mouse models, we demonstrate that TIF1{gamma} depletion significantly reduces self-renewal and prolongs disease-free survival. Immunoprecipitation (IP)-LC/MS/MS analysis identified transcriptional regulators within the TIF1{gamma} interactome, including TRRAP and H2A.Z, which were validated by IP and FRET assays. ChIP and IP studies further revealed that during self-renewal enrichment, TRRAP acetylates H2A.Z, decreasing the chromatin occupancy of its unacetylated form. Acetylated H2A.Z is subsequently recognized by TIF1{gamma}, which monoubiquitinates H2B at promoters of self-renewal genes such as HES1, initiating transcription. In alignment with findings from mouse neocortical development, where a Notch-independent Hes1-expressing (NIHes1) population defines primitive quiescent stem cells, we show that TIF1{gamma} acts as an acetylation reader specifically at the NIHES1 promoter region of HES1. TIF1{gamma} depletion drives NIHES1 cells toward a Notch-dependent HES1 (NDHES1) identity. RNA-seq confirmed reversal of 100 NIHES1-specific genes following TIF1{gamma} loss, along with downregulation of pluripotency-associated genes found in embryonic stem cells, supporting a critical role for TIF1{gamma} in maintaining primitive cancer stem cell states. Consistent with our in vivo findings, primary oral cancer samples showed that increased frequencies of TIF1{gamma}+/TRRAP+/H2A.Z- cells strongly predict recurrence. Given that the histone acetylation-reader function of TIF1{gamma} drives poor prognosis, our findings suggest the TIF1{gamma} bromodomain as a potential therapeutic target requiring further investigation.

cancer biology↗

bioRxiv2025

Akt1 Nitration Promotes Proliferation and Mesenchymal Transition Exacerbating Pulmonary Hypertension

Pulmonary arterial hypertension (PAH) is a progressive disease characterized by vascular remodeling and increased pulmonary arterial resistance. This study investigates the role of Akt1 nitration in PAH development, focusing on its effect on endothelial-to-mesenchymal transition (EndMT) and vascular cell proliferation. Using the novel Akt1Y350F mutant mouse model, which resists nitration due to a tyrosine-to-phenylalanine substitution, we demonstrated that Akt1 nitration is a key pathogenic factor in PAH progression. Our results show that Akt1Y350F mice, resistant to Akt1 nitration, are protected against PAH in a SU5416/hypoxia (SU5416/Hx) model, exhibiting lower right ventricular systolic pressure (RVSP), reduced right ventricular hypertrophy, and decreased vascular occlusion. Additionally, we identified important molecular mechanisms involving TWIST1, SMA, HIF1, and STAT3 signaling pathways that influence EndMT and vascular remodeling. The proteomic analysis revealed other affected pathways, including angiogenesis, lipid metabolism, and mitochondrial function. We demonstrate that oxidative and nitrative stress-induced post-translational modifications contribute to the pathological processes leading to pulmonary hypertension, using a unique Akt nitration-resistant mouse model. These findings provide new insights into the molecular mechanisms underlying PAH and suggest that targeting Akt1 nitration could be a promising therapeutic approach for this devastating disease.

physiology↗

bioRxiv2025

Sequence-free landscape inference for directed evolution

Directed evolution is a method for engineering biological systems or components, such as proteins, wherein desired traits are optimised through iterative rounds of mutagenesis and selection of fit variants. The process of protein directed evolution can be envisaged as navigation over high-dimensional landscapes with numerous local maxima. The performance of any strategy in navigating such a landscape is dependent on the ruggedness of that landscape. However, this information is generally unavailable at the outset of an experiment, and cannot currently be computed using analytical methods. Here we propose SLIDE, Sequence-free Landscape Inference for Directed Evolution, which consists of two parts. First, SLIDE provides an estimation for landscape ruggedness from a mutating population using only population-level phenotypic data and an estimation of mutation rate. Ruggedness information in itself is valuable in protein design, for instance in predicting evolutionary stability. Second, SLIDE offers a framework for using the estimated ruggedness metric to select high-performing parameters for directed evolution control. Using theoretical NK landscapes and four real-world protein fitness landscapes, we demonstrate improvement upon the performance of standard selection strategies, particularly on rugged landscapes, using a pipeline that could also be combined with emerging AI-based methods for driving direction evolution.

synthetic biology↗

bioRxiv2025

Investigating high pathogenicity avian influenza virus incursions to remote islands: Detection of H5N1 on Gough Island in the South Atlantic Ocean

Understanding the mechanisms underlying the emergence and spread of high pathogenicity avian influenza virus (HPAIV) is critical for tracking its global dissemination, particularly via migratory seabirds, given their role in transmission over long distances. Scavenging seabirds, such as skuas, may act as both reservoirs and vectors, and have been linked to multiple outbreaks since 2021. Here, we report the detection of HPAIV H5N1 clade 2.3.4.4b in three Tristan skua (Stercorarius antarcticus hamiltoni) carcasses on Gough Island in the central South Atlantic Ocean. To investigate potential incursion routes, we combined genomic analyses with year-round tracking data from global location sensors. Although migratory movement patterns suggested southern Africa as the most obvious pathway, the strain detected on Gough Island was more closely related to that identified in South Georgia, indicating that infection may have occurred during the pre-laying exodus, when skuas disperse into frontal waters south of the island. No further cases have been confirmed for Gough, but more systematic monitoring is needed to understand the dynamics of virus infection. The detection of HPAIV H5N1 in skuas on Gough Island highlights the importance of continued vigilance, proactive and geographically inclusive surveillance strategies, and biosecurity measures globally, alongside efforts to reduce other pressures on globally important seabird populations to help strengthen their resilience.

pathology↗

bioRxiv2025

Infection of ratites with clade 2.3.4.4b HPAIV H5N1: Potential implications for zoonotic risk

We detected H5N1 high pathogenicity avian influenza in captive Greater Rhea (Rhea americana). Viral genetic analysis revealed the mammalian associated PB2-E627K mutation, indicating selection of mammalian-relevant mutations in ratites. Pathologic investigation of available tissues demonstrated severe multifocal necrotising inflammation, and a strong vasculotropism.

pathology↗

bioRxiv2025

Genetic reassortment and diversification of host specificity have driven evolutionary trajectories of lineages of panzootic H5N1 influenza

Since 2021, subclade 2.3.4.4b A(H5N1) high pathogenicity avian influenza (HPAI) viruses have undergone changes in ecology and epidemiology, causing a panzootic of unprecedented scale in wild and domestic birds with spill-over infections and perceptible transmission in a range of mammalian species, raising concern over zoonotic potential. HPAI viruses readily exchange gene segments with low pathogenicity avian influenza viruses via reassortment, a mechanism that facilitates pronounced phenotypic change. Observations suggest changes in the seasonality and host range of panzootic viruses, however, data on the role of reassortment in determining such features are limited. Using phylodynamic approaches, we describe the emergence of the panzootic lineage and using a novel global genotype classification system we describe the subsequent emergence and global structuring of genotypes generated by reassortment. Focusing on evolutionary dynamics in Europe, we show reassortment has produced high fitness genotypes with enhanced capacity for transmission and further we show such advantages can be host-dependent, contrasting successful generalist genotypes with a specialist lineage (EA-2022-BB) adapted to birds of the order Charadriiformes. Experimental investigation of NS1-mediated shutoff indicates this Charadriiformes-specialist does not inhibit host cellular gene expression and hamper the defences of more typical hosts such as water- and land-fowl. We attribute this primarily to variation at position 127 of the NS1 protein. Our results emphasise that reassortment has driven phenotypic change, affected viral fitness, and caused diversification of host specificity and seasonality. Such factors should be considered in studies that seek to identify drivers of HPAI spread and map spillover risk. Additionally, relaxation of host specialisation, ecological diversification, and potential endemicity in atypical host populations present new reassortment opportunities that could result in further novel phenotypes.

microbiology↗

bioRxiv2025

Mitochondrial DNA Mutations Determine Favourable Molecular Responses to Targeted Kinase Inhibitor Therapy and Impair Oxidative Phosphorylation

Somatic mutations in mitochondrial DNA (mtDNA) are not typically considered key oncogenic drivers of cancer, primarily because of a high synonymous to non-synonymous variant ratio. Here, we surveyed 248 matched diagnosis and remission samples from patients with chronic myeloid leukemia (CML) and found a 75% had mitochondrial mutations with a median number of 2 mutations per patient. mtDNA mutations were predominantly non-synonymous, enriched in the D-loop control region, and likely originated from replication and transcriptional errors. Functionally, mtDNA mutations were associated with reduced oxidative phosphorylation (OXPHOS), as measured by Seahorse analyser. This metabolic vulnerability could be phenocopied by treatment with the complex I inhibitor IACS-10759 in combination with the targeted tyrosine kinase inhibitor (TKI) imatinib, which significantly reduced the colony-forming potential of TKI resistant leukemic stem/progenitor cells (LSPCs). Strikingly, we show that mtDNA mutations were associated with increased sensitivity to imatinib therapy in the clinic. Patients with [≥]3 mutations and patients with mutations in the D-loop showed significantly higher cumulative incidence of major molecular response at 24 months (90% vs. 68%, p = 0.004, and 89% vs 68%, p = 0.004 respectively). Single-cell RNA sequencing further revealed enrichment in non-synonymous mtDNA variants in LSPCs from TKI-sensitive patients, while TKI-resistant cells exhibited upregulated gene signatures related to glycerolipid and phospholipid metabolism and mitochondrial biogenesis. Together, our findings demonstrate that mtDNA mutations are key determinants of sensitivity to targeted therapy, rather than oncogenic drivers of leukemogenesis. Mechanistically, non-synonymous mtDNA mutations appear to restrict mitochondrial metabolic plasticity, with widespread implications for precision oncology.

cancer biology↗