Biology subjects

Barber, B.

Publications and source records attributed to Barber, B..

9 recordsLinked to original sources

bioRxiv2026

Dysregulation of epithelial differentiation architecture underlies field cancerization in head and neck cancer

Head and neck squamous cell carcinoma (HNSCC) has exceptionally high recurrence rates, exceeding 50%, contributing to mortality and morbidity. This recurrence rate is proposed to be due to field cancerization, a phenomenon where tumor-adjacent "field" tissue that appears histologically normal harbors molecular changes that prime it for subsequent tumor growth. Current models attribute field cancerization to shared driver mutations between tumors and adjacent at-risk tissue, but this assumption has never been directly tested. To comprehensively characterize this phenomenon, we profiled patient-matched tumor, normal-adjacent field (NAF), contralateral normal, and blood samples from HPV-negative HNSCC patients using whole genome sequencing, targeted driver gene sequencing, single-nucleus multiome profiling, spatial transcriptomics and functional proliferation assays. While histologically normal NAF tissues did harbor expanded mutant clones, these mutations rarely overlapped with paired tumors and were not shared across patients, suggesting molecular features beyond mutations are altered in NAF. Single-cell multiomics revealed that NAF epithelium loses its normal organizational hierarchy: basal stem cell markers persist in differentiated cells, while terminal differentiation programs fail to activate, with reconfiguration of both gene regulatory networks and cell-cell interactions. Proliferating cells appeared in tissue layers normally restricted to post-mitotic cells, a pattern typically seen only in overt dysplasia. Within this disrupted hierarchy, a distinct epithelial state arose in NAF that expressed both normal epithelial and tumor-associated markers, which we localized to the parabasal layers using immunofluorescence and spatial transcriptomics. Together, our findings demonstrate that field cancerization operates through epithelial hierarchy disorganization that disrupts differentiation, generates cells with tumor-like features, and may create a permissive environment for the expansion of cancer-associated mutations, all within tissue that appears histologically normal.

cancer biology↗

bioRxiv2026

Pfcrt copy number amplification detected in a Plasmodium falciparum outbreak

Antimalarial resistance is one of the greatest threats to malaria elimination. Following an outbreak of Plasmodium falciparum infection in Sabah Malaysia in 2019, 98 samples were sequenced to search for adaptations driving the outbreak. The genomic data revealed evidence of clonal expansion of a strain carrying multiple copies of the chloroquine resistance transporter gene (pfcrt) in 86 cases. A TaqMan qPCR assay was developed to quantify pfcrt copy number, confirming the in silico evidence of duplication. Whilst point mutations in pfcrt have been associated with resistance to chloroquine and other drugs, copy number amplification has not been widely explored as a resistance mechanism. We investigated the genetic architecture of the duplication, revealing a wildtype haplotype (3D7 reference-type with 76K variant) and a novel mutant (with 76T mutation). Application of the TaqMan assay in 43 P. falciparum cases from neighbouring Palawan Island, the Philippines, identified a further two cases with pfcrt duplication. Assessment of the global genomic data in the MalariaGEN Pf8 repository identified a further 86 cases, including 73 (85%) from West Africa with evidence of pfcrt duplication. Amongst 47 monoclonal MalariaGEN cases, majority (95%) comprised wild type and mutant variants at codon 76. Our study reveals a potential previously unconsidered antimalarial resistance mechanism for P. falciparum and provides an assay for surveillance in other populations.

genomics↗

bioRxiv2026

Latent cytomegalovirus disrupts NK cell responses to P. falciparum and impairs parasite control

BackgroundNK cells are major innate and adaptive responders to malaria, with multiple roles in protection. Function of NK cells is heterogeneous, underpinned by expression of a diversity of receptors. One driver of NK cell heterogeneity is latent CMV infection, which drives the expansion of memory-like NK cells. We have recently reported that latent CMV infection can negatively impact the adaptive immune response to malaria, but whether CMV-mediated changes to the NK cell compartment also impact innate responses to malaria is unknown. MethodsWe investigated the impact of latent CMV infection on NK cell response to the malaria parasite Plasmodium falciparum in vitro, and in CMV seronegative and seropositive individuals during controlled human malaria infection. We analysed NK cell activation, cytotoxicity and NK cell receptor expression. Additionally, we investigated the impact of CMV serostatus on cytokine production in response to TLR stimulation in the myeloid cell compartment. The impact of CMV and NK cell responses on parasite control and malaria symptoms was investigated. ResultsNK cells from CMV seropositive individuals had reduced responsiveness to P. falciparum parasites in vitro and had reduced activation during controlled human infection. Reduced activation was not restricted to NK subsets modulated by CMV but occurred across the entire NK cell compartment. Consistent with global NK cell attenuation, IL-12 production from myeloid cells, a response that supports NK cell activation on exposure to P. falciparum parasites, was lower in CMV infected individuals. Linking NK cell activation to clinical outcomes, NK cells expressing perforin were associated with parasite control in CMV seronegative individuals. ConclusionCMV infection modulates NK cell responses during malaria by disruption of IL-12, leading to reduced parasite control.

immunology↗

bioRxiv2025

Subtype-Specific Dependencies and Drug Vulnerabilities Enable Precision Therapeutics in Head and Neck Cancer

Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet existing subtype frameworks remain largely descriptive and have not translated into therapeutic decision-making. Here, we establish a mechanistic platform that converts transcriptomic diversity into drug-actionable tumor states. Integrating multi-cohort RNA-seq from 727 tumors across five independent datasets, genome-scale CRISPR dependency maps, and pharmacologic screening, we define distinct tumor survival circuits across HPV-negative HNSCC and nominate subtype-matched therapeutic strategies. These circuits encompass a proliferative axis (MYC, MET/FAK, inflammatory and translational programs), an epithelial-differentiated/adhesion program, an EMT-like state with stromal activation, and mitochondrial/oxidative metabolic states, each mapping to selective liabilities (e.g., mitotic/autophagy control, ERBB/PI3K and cadherin signaling, OXPHOS/mitochondrial translation, and G2/M-integrin-Notch pathways, respectively). We then develop a transcriptomic predictor of EGFR-inhibitor response using machine learning and validate it in prospectively collected, fresh patient-derived 3D microtumors. The resulting 13-gene signature identifies erlotinib-responsive tumors (R = 0.93) and maps biologically to an epithelial-differentiated state, outperforming EGFR expression alone. Our study establishes a subtype-to-dependency-to-therapy framework, enabling precision stratification and providing a clinically feasible path for prospective biomarker deployment.

bioinformatics↗

bioRxiv2024

Age is an intrinsic driver of inflammatory responses to malaria

Age is a critical factor influencing the host immune response to infection and disease pathogenesis. In malaria, the risk of severe disease increases with age in non-immune individuals. Malaria severity is in part driven by inflammation, but the specific cells and mechanisms contributing to age-dependent disease risk are incompletely understood. Here, we assessed inflammatory cytokines in non-immune children and adults with clinical malaria, and the phenotypic, functional and transcriptional differences of in vitro innate cell responders to malaria parasites in naive children and adults. During naturally acquired malaria, age was associated with increased plasma levels of inflammatory chemokines CCL2, CCL3, CXCL8, CXLC9, along with CRP, and IDO, which were associated with clinical symptoms. In malaria naive individuals, classical monocyte and V{delta}2+ {gamma}{delta} T cell responses from adults were characterized by higher inflammatory cytokine production, and transcriptional activation following stimulation with malaria parasites. Classical monocyte responses in adults were dominated by CCL2 production, while in children the response had increased IL10 production and enrichment in IL10 signaling pathways upon parasite stimulation. This heightened inflammatory response in adults was not mitigated by parasite induced Tregs. Taken together, these findings identify cellular mechanisms of age-dependent host responses that play crucial roles in driving inflammatory responses in malaria.

immunology↗

bioRxiv2024

Latent cytomegalovirus is associated with reduced functional antibody induction following Plasmodium falciparum infection

Human immune responses to infection and vaccination are heterogenous, driven by multiple factors including genetics, environmental exposures and personal infection histories. For malaria caused by Plasmodium falciparum parasites, host factors that impact on humoral immunity are poorly understood. We investigated the role of latent cytomegalovirus (CMV) on the host immune response to malaria using blood stage P. falciparum Controlled Human Malaria Infection (CHMI) and in a MSP1 vaccine Phase 1a clinical trial. CMV seropositivity was associated with reduced induction of parasite specific antibodies following malaria infection and vaccination. During infection, reduced antibody induction was associated with modifications to the T -follicular helper (Tfh) cell compartment. CMV seropositivity was associated with a skew towards Tfh1 cell subsets before and after malaria infection, and reduced activation of Tfh2 cells. Protective Tfh2 cell activation was only associated with antibody development in CMV seronegative individuals, and a higher proportion of Tfh1 cells was associated with lower antibody development in CMV seropositive individuals. During MSP1 vaccination, reduced antibody induction in CMV seropositive individuals was associated with CD4 T cell expression of terminal differentiation marker CD57. These findings are particularly relevant for malaria endemic regions where CMV infection is acquired early in life and may modify immunity to malaria gained during infection or vaccination.

immunology↗

bioRxiv2022

Malaria drives unique regulatory responses across multiple immune cell subsets

Plasmodium falciparum malaria results in immunoregulatory responses across multiple cell subsets, which protects the individual from inflammatory mediated immunopathogenesis. However, these anti-inflammatory responses also hamper the development of effective anti-parasitic immunity. Understanding malaria induced tolerogenic responses in specific cell subsets may inform the development of strategies to boost protective immunity during drug treatment and vaccination. Here, we analysed the immune landscape with single cell RNA sequencing of peripheral blood mononuclear cells during falciparum malaria and at convalescence in children and adults from a low malaria transmission area in Malaysia. To understand malaria driven changes specific to each immune cell subset, we interrogated transcriptional changes in sub-clustered major immune cell types during infection. We found that malaria drove development of immunosuppressive monocytes, alongside NK and {gamma}{delta} T cells which regulated inflammatory function but maintained cytolytic capacity. IL10-producing CD4 T cells and IL10-producing regulatory B cells were also induced. Type I interferon responses were identified across all cell types, linking Type I interferon signalling with the induction of immunoregulatory networks during malaria. Together, these findings provide insights into cell-specific and shared immunoregulatory changes induced during malaria, and provides a data set resource for additional analysis of anti-parasitic immunity and disease pathogenesis.

immunology↗

bioRxiv2022

STING activation promotes autologous type I interferon-dependent development of type 1 regulatory T cells during malaria

The development of highly effective malaria vaccines and improving drug treatment protocols to boost anti-parasitic immunity is critical for malaria elimination. However, these efforts are hampered by parasite-specific immunoregulatory networks that are rapidly established following exposure to malaria parasites. Here, we identify stimulator of interferon genes (STING) as a critical mediator of type I interferon production by CD4+ T cells during blood-stage Plasmodium falciparum infection. STING activation by cyclic guanosine monophosphate-adenosine monophosphate (cGAMP) stimulated IFNB gene transcription that promoted development of IL-10 and IFN{gamma} co-producing CD4+ T (type I regulatory; Tr1) cells. CD4+ T cell sensitivity to STING phosphorylation increased in healthy volunteers following P. falciparum infection, particularly in Tr1 cells. Finally, we found the JAK1/2 inhibitor ruxolitinib modulated this innate signalling axis in CD4+ T cells to increase parasite-specific Th1 and diminish Tr1 cell responses. These findings identify STING as a critical mediator of Tr1 cell development during malaria.

immunology↗

bioRxiv2019

A molecular barcode and online tool to identify and map imported infection with Plasmodium vivax

Imported cases present a considerable challenge to the elimination of malaria. Traditionally, patient travel history has been used to identify imported cases, but the long-latency liver stages confound this approach in Plasmodium vivax. Molecular tools to identify and map imported cases offer a more robust approach, that can be combined with drug resistance and other surveillance markers in high-throughput, population-based genotyping frameworks. Using a machine learning approach incorporating hierarchical FST (HFST) and decision tree (DT) analysis applied to 831 P. vivax genomes from 20 countries, we identified a 28-Single Nucleotide Polymorphism (SNP) barcode with high capacity to predict the country of origin. The Matthews correlation coefficient (MCC), which provides a measure of the quality of the classifications, ranging from -1 (total disagreement) to 1 (perfect prediction), exceeded 0.9 in 15 countries in cross-validation evaluations. When combined with an existing 37-SNP P. vivax barcode, the 65-SNP panel exhibits MCC scores exceeding 0.9 in 17 countries with up to 30% missing data. As a secondary objective, several genes were identified with moderate MCC scores (median MCC range from 0.54-0.68), amenable as markers for rapid testing using low-throughput genotyping approaches. A likelihood-based classifier framework was established, that supports analysis of missing data and polyclonal infections. To facilitate investigator-lead analyses, the likelihood framework is provided as a web-based, open-access platform (vivaxGEN-geo) to support the analysis and interpretation of data produced either at the 28-SNP core or full 65-SNP barcode. These tools can be used by malaria control programs to identify the main reservoirs of infection so that resources can be focused to where they are needed most.

molecular biology↗