Biology subjects

Foster, K.

Publications and source records attributed to Foster, K..

13 recordsLinked to original sources

bioRxiv2026

A Role for Astrocyte Metabolism in Species-Specific Neuronal Development

Human neurons develop more slowly than non-human primate (NHP) neurons, a phenomenon called neoteny, but research has primarily focused on neuron-intrinsic drivers. We hoped to further elucidate any species-specific divergence in function and the astrocytes role in influencing species-specific neurodevelopment rate. In this study, we identified a delayed onset of gliogenesis in human versus NHP organoid models. Transcriptomic and 13C metabolic flux analyses of iPSC-derived astrocytes revealed distinct metabolic profiles: NHP astrocytes exhibit increased serine and glycine synthesis, whereas human astrocytes show elevated lactate secretion, suggesting a change in the metabolic role of astrocytes across primate evolution. We then assessed the impact of these different species astrocytes on neuronal development. We observed an increase in electrophysiological maturation and a change in transcriptomic neuronal development trajectory in human neurons cultured with rhesus astrocyte conditioned media as opposed to human astrocyte conditioned media. Human astrocyte secretomes were enriched for synaptogenic and axon-growth proteins, which could indicate they play a greater role in supporting structural complexity and dendritic arborization over rapid maturation when compared to NHP astrocytes. Finally, chemical inhibition of PHGDH demonstrated that these changes in neuronal differentiation are partially mediated by the different metabolic roles that astrocytes play in humans versus NHPs. Collectively, our results reveal a cell-extrinsic role for astrocyte metabolism in shaping human-specific neurodevelopmental timing and trajectories. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/737608v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@ad88f4org.highwire.dtl.DTLVardef@fa5cf5org.highwire.dtl.DTLVardef@ecf0eborg.highwire.dtl.DTLVardef@1bcf078_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2026

Similar weapons play different roles in bacterial competition

Bacteria are aggressive organisms that inhibit and kill their competitors using a diverse range of molecular weapon systems. Surprisingly, strains commonly carry multiple similar weapons that appear to perform the same function. Here we investigate the evolutionary benefits of this apparent functional duplication using the heavily-armed opportunistic pathogen, Pseudomonas aeruginosa as a model species. We first use genomics to ask whether carrying multiple similar bacteriocins (S pyocins) increases the probability of inhibiting other strains. However, simply carrying a single uncommon S pyocin is typically as effective as carrying several. We then combine genome-editing with competition experiments to study the effects of S pyocins alone and in combinations. S pyocins sometimes function better together than alone, which helps to explain their co-carriage. However, we also find evidence of specialisation: pyocin S5 is much more effective than S2 in iron limited conditions, and vice-versa when iron is available. We test the generality of our findings using a second class of weapon carried by P. aeruginosa, contact-dependent inhibition, which again reveals differing effectiveness as conditions change. Our work shows how similar weapons are specialised for combat under different environmental conditions. We argue that functional specialisation is key to understanding why bacteria carry so many weapons.

microbiology↗

bioRxiv2025

Nuclear Irregularity as a Universal Diagnostic Tool in Solid Tumors

As tumors develop, cancer cells accumulate diverse genomic and phenotypic alterations to meet heightened demands for energy production and biosynthesis. Loss of lamina function and perturbations in energy production are associated with pronounced aberrations in cellular morphology, particularly within nuclear architecture and the plasma membrane. Systematic analysis of nuclear morphology can reveal conserved structures across diverse cancer types, enabling disease state stratification, biomarker discovery, and potential avenues for personalizing therapy to minimize recurrence risk. To this end, this study analyzes an imaging mass cytometry (IMC) breast cancer dataset, differentiating cancerous and non-cancerous nuclei with a p-value of 1.02e-06. In addition, this study achieves an accuracy of 78 percent using a computational and machine learning-based pipeline for analyzing the morphological heterogeneity of nuclei and protein expression, enabling characterization of patient-specific tumor phenotypes. Unlike traditional morphology analysis pipelines limited to specific imaging platforms, this workflow enables cross-cohort and cross-cancer comparison, capturing tumor-specific phenotypic deviations at a single-cell resolution. The resulting pheno-typic profiles could inform prognosis, treatment, and monitoring of therapeutic response. SummaryAs cancers become more aggressive and require more energy, typically uniform and organized cells begin to develop abnormal features to support their heightened needs. Studies have found that the prevalence of abnormal features is directly associated with the speed at which the tumor grows, but also the bodys ability to fight back. This study aims to streamline the analysis of these irregular features across all cancer types, providing a clearer picture of how nuclei distinguish stages of cancer and aid in rapidly clinically assessing at-risk or affected patients. Using the nuclear abnormality score developed, this study was able to identify sub-populations of highly irregular cancer cells, and successfully separate them with a p-value of 1.222e-21. By comparing the expression of cancer proteins with these irregularities, we can begin to develop insights that can be used across all imaging techniques to understand the cancers inner workings and learn to predict relapse before it even occurs.

bioinformatics↗

bioRxiv2025

Conserved programs and specificities of T cells targeting hematological malignancies

T cell-mediated immune surveillance is critical for cancer control, yet its endogenous effectiveness in hematological malignancies remains limited and poorly understood. Here, we integrate single-cell T cell receptor (TCR) profiling, HLA immunopeptidomics and functional antigen mapping to dissect the specificity landscape of bone marrow lymphocytes (BMLs) in multiple myeloma (MM) and acute myeloid leukemia (AML). We identify a rare subset of tumor-reactive T cells that exhibit a stereotyped transcriptional state distinct from bystander and virus-specific populations. Across both malignancies, immunopeptidomic profiling uncovers a partially conserved antigen repertoire enriched for noncanonical peptides, including products of novel or unannotated open reading frames (nuORFs), pseudogenes, and clonotypic immunoglobulin sequences. Several of these epitopes are recurrently presented and associated with convergent TCR responses across individuals. Based on this immune architecture, we develop a TCR-intrinsic fitness model that infers BML tumor specificity from transcriptional cues and stratifies immunotherapy response across three independent patient cohorts. Together, these findings map the latent potential of endogenous anti-tumor immunity in two biologically distinct diseases and provide a framework for decoding and restoring productive immune surveillance of hematological malignancies. HighlightsO_LISingle-cell resolved TCR profiling maps rare tumor-reactive T cells in the bone marrow of multiple myeloma (MM) and acute myeloid leukemia (AML) reveals conserved transcriptional programs C_LIO_LIA shared immunopeptidome across MM and AML includes noncanonical epitopes from nuORFs and idiotype sequences C_LIO_LIConserved tumor antigens elicit convergent T cell responses across patients C_LI O_LIA TCR fitness model predicts tumor specificity in bone marrow lymphocytes and stratifies immunotherapy response in both hematological malignancies C_LI

immunology↗

bioRxiv2025

Single-cell profiling of human bone marrow reveals multiple myeloma progression is accompanied by an increase in CD56bright bone marrow resident NK cells.

Natural killer (NK) cells play a key role in the innate immune response against tumour progression. While the immune microenvironment in multiple myeloma (MM) becomes increasingly dysfunctional during disease evolution, little is known about changes in the NK cell compartment. Using primary samples from clinical trial patients, we performed detailed phenotypic analyses of bone marrow mononuclear cells from MGUS, SMM, and newly diagnosed MM patients. We found that disease progression is associated with an increase in CD56bright NK cells with a dynamic positive association between this NK cell subset and local tumour burden. We generated a large single-cell RNA sequencing dataset of >100,000 NK cells from healthy donor individuals and plasma cell disorder patients and identify a bone marrow specific CD56bright-like NK cell population (BM-NK) that is enriched in the marrow of MM patients. These findings highlight the evolution of the NK-cell compartment in MM and suggest a role for BM-resident CD56bright NK cells with impaired cytotoxicity in promoting immune evasion.

cancer biology↗

bioRxiv2023

Botulinum toxin intoxication requires retrograde transport and membrane translocation at the ER

Botulinum neurotoxin A (BoNT/A) is a highly potent proteolytic toxin specific for neurons with numerous clinical and cosmetic uses. After uptake at the synapse, the protein is proposed to translocate from synaptic vesicles to cytosol through a self-formed channel. Surprisingly, we found that after intoxication proteolysis of a fluorescent reporter occurs in the neuron soma first and then centrifugally in neurites. To investigate the molecular mechanisms at play, we use a genome-wide siRNA screen in genetically engineered neurons and identify over three hundred genes. An organelle-specific split-mNG complementation indicates BoNT/A traffic from the synapse to the soma-localised Golgi in a retromer dependent fashion. The toxin then moves to the ER and appears to require the Sec61 complex for retro-translocation to the cytosol. Our study identifies genes and trafficking processes hijacked by BoNT/A, revealing a complex route for efficient intoxication that contradicts the currently accepted model of BonT intoxication.

cell biology↗

bioRxiv2023

A culture-based approach to study ecological interactions among the microbial species of the human scalp.

The human scalp hosts an unusually low diversity microbiota dominated by three species: Cutibacterium acnes, Staphylococcus epidermidis, and Malassezia restricta, where characteristic shifts in species frequencies are associated with seborrheic dermatitis and dandruff. In order to better understand this important community, here we study the ecological interactions between these scalp species. We establish a new experimental model system that supports the growth of all three species in vitro and allows one to selectively enumerate each species from co-culture. Our work reveals the potential for strong ecological interactions within the scalp community. In particular, C. acnes greatly benefits from the presence of M. restricta, but harms it in return (exploitation), while S. epidermidis suppresses both M. restricta and C. acnes. Our data suggest that the shifts in composition seen in compromised scalps are influenced by ecological interactions between species. We argue that the scalp microbiome should be viewed as an ecological system where species interactions have the potential to contribute to health outcomes. ImportanceOur bodies are home to diverse communities of microorganisms, our microbiome, which can be critical for health and wellbeing. The human scalp hosts a relatively simple community dominated by three species: two bacteria, Cutibacterium acnes and Staphylococcus epidermidis, and one fungus, Malassezia restricta. Both dandruff and seborrheic dermatitis are strongly associated with characteristic shifts in the frequencies of these three species. However, how these species affect one another and behave as a community remains poorly understood. Here, we develop a simple experimental system to empirically study how these three species interact and affect one another for the first time. We find that S. epidermidis greatly suppresses the growth of the other species, while C. acnes specifically exploits M. restricta. Our work suggests that the human scalp is an ecological system in which species interactions have the potential to affect health outcomes.

microbiology↗

bioRxiv2022

Epigenetic reprogramming shapes the cellular landscape of schwannoma

Cell state evolution underlies tumor development and response to therapy1, but mechanisms specifying cancer cell states and intratumor heterogeneity are incompletely understood. Schwannomas are the most common tumors of the peripheral nervous system and are treated with surgery and ionizing radiation2-5. Schwannomas can oscillate in size for many years after radiotherapy6,7, suggesting treatment may reprogram schwannoma cells or the tumor microenvironment. Here we show epigenetic reprogramming shapes the cellular landscape of schwannomas. We find schwannomas are comprised of 2 molecular groups distinguished by reactivation of neural crest development pathways or misactivation of nerve injury mechanisms that specify cancer cell states and the architecture of the tumor immune microenvironment. Schwannoma molecular groups can arise independently, but ionizing radiation is sufficient for epigenetic reprogramming of neural crest to immune-enriched schwannoma by remodeling chromatin accessibility, gene expression, and metabolism to drive schwannoma cell state evolution and immune cell infiltration. To define functional genomic mechanisms underlying epigenetic reprograming of schwannomas, we develop a technique for simultaneous interrogation of chromatin accessibility and gene expression coupled with genetic and therapeutic perturbations in single-nuclei. Our results elucidate a framework for understanding epigenetic drivers of cancer evolution and establish a paradigm of epigenetic reprograming of cancer in response to radiotherapy.

cancer biology↗

bioRxiv2022

Environmental feedback drives oxidative stress response heterogeneity in bacterial populations

Induction of phenotypic heterogeneity is a ubiquitous consequence of bacterial stress responses. It is commonly postulated that isogenic cells exploit stochastic molecular fluctuations to generate phenotypic heterogeneity as a population survival strategy (termed bet-hedging). However, it is also possible that each cell attempts to maximise its own chances of survival. In that case, the apparent heterogeneity could either be caused by inevitable molecular noise or by underlying deterministic mechanisms which have escaped observation. Here, we investigated the sources and consequences of gene expression heterogeneity in the response of Escherichia coli cells to hydrogen peroxide (H2O2) stress. A machine-learning model accurately predicted the variable responses of individual cells growing in structured populations, indicating that the phenotypic heterogeneity has a deterministic origin. The model further showed that spatio-temporal dynamics in H2O2 concentration were dictated by the H2O2 scavenging capacity and morphology of cells in the local environment. Hence, oxidative stress response fluctuations were in fact the result of a precise and rapid feedback between each cell and its immediate environment. Although single cells optimise their individual responses, the formation of short-range H2O2 gradients by their scavenging activities increases stress tolerance at the population level and leads to spatial variation in mutation rates.

microbiology↗

bioRxiv2021

Epigenetic remodeling during monolayer cell expansion reduces therapeutic potential

Understanding how cells remember previous mechanical environments to influence their fate, or mechanical memory, informs the design of biomaterials and therapies in medicine. Current regeneration therapies require two-dimensional (2D) cell expansion processes to achieve large cell populations critical for the repair of damaged (e.g. connective and musculoskeletal) tissues. However, the influence of mechanical memory on cell fate following expansion is unknown, and mechanisms defining how physical environments influence the therapeutic potential of cells remain poorly understood. Here, we show that the organization of histone H3 trimethylated at lysine 9 (H3K9me3) and expression of tissue-identifying genes in primary cartilage cells (chondrocytes) transferred to three-dimensional (3D) hydrogels depends on the number of previous population doublings on tissue culture plastic during 2D cell expansion. Decreased levels of H3K9me3 occupying promoters of dedifferentiation genes after the 2D culture were also retained in 3D culture. Suppression of H3K9me3 during expansion of cells isolated from a murine model similarly resulted in the loss of the chondrocyte phenotype and global remodeling of nuclear architecture. In contrast, increasing levels of H3K9me3 through inhibiting H3K9 demethylases partially rescued the chondrogenic nuclear architecture and gene expression, which has important implications for tissue repair therapies, where expansion of large numbers of phenotypically-suitable cells is required. Overall, our findings indicate mechanical memory in primary cells is encoded in the chromatin architecture, which impacts cell fate and the phenotype of expanded cells. SIGNIFICANCE STATEMENTTissue regeneration procedures, such as cartilage defect repair (e.g. Matrix-induced Autologous Chondrocyte Implantation) often require cell expansion processes to achieve sufficient cells to transplant into an in vivo environment. However, the chondrocyte cell expansion on 2D stiff substrates induces epigenetic changes that persist even when the chondrocytes are transferred to a different (e.g. 3D) or in vivo environment. Treatments to alter epigenetic gene regulation may be a viable strategy to improve existing cartilage defect repair procedures and other tissue engineering procedures that involve cell expansion.

bioengineering↗

bioRxiv2020

The MSP-RON axis stimulates cancer cell growth in models of triple negative breast cancer

Triple negative breast cancer is the most aggressive subtype of breast cancer with poor prognosis and high rates of relapse. The lack of actionable targets for TNBC has contributed to the high mortality rates of this disease, and new candidate molecules for potential manipulation are urgently required. Here, we show that macrophage-stimulating protein (MSP) and its tyrosine kinase receptor, RON, are potent drivers of cancer cell growth and tumor progression in a mouse model of TNBC driven by the loss of Trp53 and Brca1. After comparison of two genetically engineered mouse models of TNBC, we found that mammary tumors from K14-Cre;Brca1F/F;Trp53F/F (KB1P) mice exhibit high endogenous levels of MSP and RON expression. We show that MSP stimulates AKT and ERK1/2 activation as well as cancer cell growth in KB1P cell lines, while genetic and pharmacological inhibition of RON prevents these effects. Similarly, KB1P tumor progression in mice was robustly attenuated by treatment with a RON inhibitor with accompanied reduction in the proliferation marker, Ki-67. Our findings in a mouse model where MSP and RON expression are naturally increased provide evidence that this receptor and its ligand are viable candidate molecules for targeted treatment of TNBC.

cancer biology↗

bioRxiv2019

Novel mediation analysis of human plasma proteome and metabolome reveals mediators of improved glycemia after gastric bypass surgery

Molecular mechanisms by which Roux-en-Y gastric bypass (RYGB) improves glycemic control and metabolism in type 2 diabetes (T2D) remain incompletely understood. In the SLIMM-T2D trial, participants with T2D were randomized to RYGB or nonsurgical management and their fasting plasma proteome and metabolome were analyzed for up to 3 years. To identify analytes that mediate improvement in outcomes, we developed a high-throughput mediation analysis method (Hitman), which is significantly more powerful than existing methods. Top-ranking analyte mediators of glycemia improvement were growth hormone receptor and prolylhydroxyproline, which were more significant than any clinical mediator, including BMI. Beta-alanine and Histidine Metabolism (both including CNDP1) were top differentially regulated pathways, and Valine, Leucine and Isoleucine Degradation was also a top differentially-regulated pathway and a top mediator of improvement in insulin resistance. The identified analytes may serve as novel targets for T2D therapy. More broadly, Hitman can identify analyte mediators of outcomes in randomized trials for which high-throughput data are available.

systems biology↗

bioRxiv2019

Persistent transmission of shigellosis in England is associated with a recently emerged multi-drug resistant strain of Shigella sonnei

BackgroundWhole genome sequencing has enhanced surveillance and facilitated detailed monitoring of transmission of Shigella species in England.\n\nMethodsWe undertook an epidemiological and phylogenetic analysis of isolates from all cases of shigellosis referred to Public Health England between 2015 to 2018 to explore recent strain characteristics and transmission dynamics of Shigella species.\n\nResultsOf the 4950 confirmed cases of shigellosis identified during this period, the highest proportion of isolates were S. sonnei (54.4%), followed by S. flexneri (39.2%), S. boydii (4.1%) and S. dysenteriae (2.2%). Most cases were adults (82.9%) and male (59.5%), and 34.9% cases reported recent travel outside the UK. Throughout the study period diagnoses of S. flexneri and S. sonnei were most common in men with no history of recent travel abroad. Species prevalence was not static with cases of S. flexneri in men decreasing from 2015-2016, and the number of cases of S. sonnei increasing from 2017. Phylogenetic analysis showed this recent increase in S. sonnei was attributed to a novel clade exhibiting resistance to ciprofloxacin and azithromycin, which had emerged from a Central Asia sub-lineage.\n\nConclusionsDespite changes in species prevalence, Shigella diagnoses in England are persistently the most common in adult males without reported travel history, consistent with sexual transmission amongst men who have sex with men. The trend in increasing ciprofloxacin resistance, in addition to plasmid-mediated azithromycin resistance, in S. sonnei is of significant public health concern with respect to transmission of multi-drug resistant gastrointestinal pathogens and the risk of treatment failures.\n\nSummaryShigella diagnoses in England are most prevalent amongst men who have sex with men. S. sonnei exhibiting resistance to both azithromycin and ciprofloxacin has replaced azithromycin-resistant S. flexneri as the most commonly isolated species in this setting.

genomics↗